Haplotype analysis and molecular marker development for the cold tolerance gene OsCTS11 at the seedling stage of rice

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Although quantitative trait loci (QTLs) have been mapped and underlying genes for cold tolerance identified, breeding efforts remain constrained by the lack of precise molecular markers. In this study, we analyzed 529 accessions from the 3K Rice Genomic Diversity Panel to investigate genetic variations in OsCTS11, a known negative regulator of cold tolerance in rice seedlings. Linkage disequilibrium (LD) analysis identified three critical LD blocks (BLOCK1-3) within OsCTS11, each containing four distinct haplotypes. Association analysis revealed that Hap4 in BLOCK1, Hap3 in BLOCK2, and Hap4 in BLOCK3 significantly increased seedling survival rates to 65.38%, 58.41%, and 51.48% respectively, predominantly in japonica subspecies. These beneficial haplotypes demonstrated adaptation to temperate zones (30°-40°N) and tropical highlands (800–1500 m elevation), consistent with the evolutionary progression of cold tolerance in japonica rice. The utility of KASP molecular markers based on SNP sites was validated through this study. Among 42 rice varieties screened, indica R676 and japonica Nangeng 5718, both possessing dominant haplotypes, exhibited higher survival rates compared to varieties lacking these haplotypes. Marker-assisted backcrossing facilitated the development of four novel cold-tolerant germplasms (YR05-YR08) incorporating advantageous OsCTS11 haplotypes. Notably, YR08 (Hap4 + Hap3 + Hap4) showed significantly improved seedling establishment under cold stress, illustrating the synergistic benefits of stacked haplotypes. This research underscores the potential of leveraging natural variation haplotypes to create precise molecular markers for identifying beneficial OsCTS11 haplotypes, providing a novel approach to exploiting negative regulatory genes in rice breeding programs. Rice Seedling stage cold tolerance Haplotype Molecular marker Negative regulation OsCTS11 Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 1. Introduction Rice ( Oryza sativa L.), a vital staple food crop worldwide, originates from tropical and subtropical regions and displays significant sensitivity to low-temperature environments common in temperate zones. Low temperatures during the early seedling stage and reproductive phase can severely impact rice growth and development, potentially causing yield losses of up to 30–40% (Andaya and Mackill 2003 ; Li et al. 2022 ; Shahzad et al. 2024 ; Shi et al. 2024 ; Song et al. 2025 ). Studies have shown that cold stress at the seedling stage disrupts photosynthesis by impairing chloroplast structure and function, reducing chlorophyll content, and increasing membrane lipid peroxidation along with the accumulation of reactive oxygen species (ROS). Additionally, cold stress affects antioxidant enzyme activity, energy metabolism, and hormonal balance, thereby intensifying physiological damage(Nawaz et al. 2019 ; Shi et al. 2016 ; Xiang et al. 2025 ). In China, key rice-growing areas such as the middle and lower reaches of the Yangtze River (for early-season rice), the Northeast and Northwest regions, the Sichuan double-cropping early rice area, and the single-cropping rice regions on the Yunnan-Guizhou Plateau frequently experience low-temperature damage. "Late spring cold snaps" in southern China often result in severe issues like seedling rot and death in early rice. Furthermore, advancing seedling raising periods in some regions increases the likelihood of early-season rice encountering low-temperature stress during this critical stage(Yu et al. 2025a ; Zhang et al. 2017 ). Thus, breeding and cultivating rice varieties with enhanced cold tolerance is considered one of the most economically feasible and effective approaches to mitigate these issues, playing a crucial role in ensuring food security (Li et al. 2022 ). In recent years, the study of rice seedling-stage cold tolerance genes has made significant strides thanks to advances in molecular biology and genomics technologies. Over 250 quantitative trait loci (QTLs) associated with cold tolerance have been identified, with approximately 90 specifically mapped during the seedling stage. Japonica rice varieties, typically grown at higher latitudes and altitudes, generally demonstrate superior cold tolerance compared to indica varieties. Consequently, most identified QTLs derive from japonica germplasm, though some have been sourced from indica and a few from wild rice accessions (Jo et al. 2024 ; Li et al. 2022 ; Zhou et al. 2024 ). Despite these advancements, only a limited number of genes related to seedling-stage cold tolerance have been successfully cloned and functionally validated. Notable examples include OsGSTZ2 (SI et al. 2011 ), LTT7 (Liu et al. 2013 ), COLD1 (Ma et al. 2015 ), HAN1 (Mao et al. 2019 ), OsCSP1 and OsCSP2 (Chaikam and Karlson 2008 ; Morino et al. 2016 ), COLD11 (Wu et al. 2024 ; Z et al. 2023), COG1 (Xia et al. 2023 ) and OsCTS11 (Wu et al. 2024 ). These genes employ various mechanisms to confer cold tolerance. OsGSTZ2 , a major QTL candidate, features two single nucleotide polymorphisms (SNPs) between different varieties that lead to amino acid changes impacting cold tolerance(SI et al. 2011 ). LTT7 enhances cold tolerance by mediating the DREB/CBF pathway(Liu et al. 2013 ). COLD1 improves cold tolerance through regulation of G-protein signaling pathways, with reduced expression or absence rendering rice sensitive to low temperatures (Ma et al. 2015 ). HAN1 acts as a negative regulator by modulating jasmonic acid (JA)-mediated cold responses; overexpression leads to wilting under cold stress while knockout enhances tolerance (Mao et al. 2019 ). OsCSP1 and OsCSP2 encode glycine-rich proteins with zinc finger domains, temporarily upregulated under cold stress (Chaikam and Karlson 2008 ; Morino et al. 2016 ). COLD11 mutations affect cold tolerance; GCG repeat number in its first exon has been selected for during northward rice expansion, influencing DNA repair protein activity under cold stress (Wu et al. 2024 ; Z et al. 2023). OsCTS11 , encoding a stress-enhanced protein induced under cold conditions, localizes to chloroplasts and the nucleus, with knockouts showing improved tolerance (Wu et al. 2024 ). COG1 , a membrane-localized receptor-like protein, boosts japonica cold tolerance by activating OsSERK2 kinase upon cold induction, with mutant lines showing reduced tolerance (Xia et al. 2023 ). While these discoveries offer valuable candidate genes for breeding cold-tolerant rice, practical application in breeding programs remains constrained by challenges such as insufficient precision in molecular marker localization and significant genotype-by-environment interaction effects. Traditional breeding techniques continue to be the dominant approach for developing new rice varieties in China, relying heavily on breeders' accumulated experience over time. These methods are often slow and resource-intensive, focusing predominantly on key genes such as blast resistance ( Pi2/Pi9 ), bacterial blight resistance ( Xa23 ), and fragrance ( badh2 ) while frequently overlooking genes beneficial for abiotic stress tolerance. This oversight leads to cultivars with reduced adaptability and a significant decline in genetic diversity concerning abiotic stress tolerance (Huang et al. 2024 ; Yu et al. 2025b ). Hence, developing effective molecular markers for seedling-stage low-temperature tolerance genes is vital for practical breeding applications. Previous research identified the OsCTS11 gene as a cold-related gene during the seedling stage using bulked segregant analysis (BSA) alongside transcriptome and expression analyses of a cold-tolerant japonica variety (NIP) and a cold-sensitive indica variety (WD16343). OsCTS11 is induced by cold stress, with expression significantly higher in WD16343 than in NIP. Mutant lines with edited genes exhibit enhanced cold tolerance, whereas overexpression lines show reduced tolerance, indicating that OsCTS11 functions as a cold-sensitive gene (Wu et al. 2024 ). Traditionally, applying OsCTS11 has involved generating gene-edited mutants or downregulated expression lines through transgenic methods. However, regulatory concerns over the safety of transgenic materials pose challenges for further application. This study advanced the use of the 3K Rice Genomes Project's 529 core germplasm resources and their resequencing data (Wang et al. 2018 ) to explore genetic variation in OsCTS11 concerning seedling-stage cold tolerance systematically. By subjecting these accessions to low-temperature stress during the seedling stage, and analyzing SNPs within the coding sequence and flanking regions of OsCTS11 , genetic variation and linkage disequilibrium (LD) analyses were conducted. This process discovered favorable haplotypes within three LD BLOCKs of OsCTS11 that significantly decrease its expression under cold stress, thereby enhancing cold tolerance. Molecular markers targeting these haplotypes were developed for efficient breeding of cold-tolerant seedlings. The markers were validated with 42 commercially available rice germplasms/hybrids, leading to the creation of four new cold-tolerant seedling-stage germplasm lines (YR05, YR06, YR07, and YR08). This study confirms the efficacy of these molecular markers in screening and creating breeding materials with improved seedling-stage cold tolerance, demonstrating the practical application of molecular breeding. Compared to traditional phenotypic screening, marker-assisted selection (MAS) offers notable advantages, including time savings, labor efficiency, cost-effectiveness, and increased breeding efficiency. The research provides a new perspective on utilizing negative regulatory genes or transcription factors for improving rice breeding practices. 2. Materials and methods 2.1 Experimental materials In this study, we leveraged a comprehensive collection of 529 core germplasm resources sourced from the 3K resequencing panel (Table S1), systematically categorized in accordance with the International Rice Research Institute (IRRI) classification system. Building upon previous research findings, the materials comprised: 154 japonica accessions, further subdivided into TrjA subgroup (comprising 65 accessions), TrjB subgroup (28 accessions), and Tej subgroup (61 accessions); 317 indica accessions, stratified into Indica I subgroup (55 accessions), Indica II subgroup (44 accessions), Indica III subgroup (117 accessions), and Indadx subgroup (101 accessions). Additionally, the collection included 40 accessions of the Aus rice ecotype, known for its unique characteristics, alongside 12 Aro rice accessions and 6 Adx rice accessions (Yu et al. 2025a ). Furthermore, the study incorporated 42 germplasm resources reflecting both indica and japonica varieties, alongside indica hybrid rice varieties currently deployed in agricultural production. This subset consisted of 13 conventional indica varieties, 18 conventional japonica varieties, and 11 indica hybrid varieties (Table 1 ), complemented by four newly developed germplasm lines, specifically YR05, YR06, YR07, and YR08. Table 1 Molecular detection and haplotype classification results for 42 production applications of indica, japonica germplasm, and hybrid indica rice varieties. Cultivar Rice type CTS11 BLOCK1 CTS11 BLOCK2 CTS11 BLOCK3 Seedling survival rate % SNP1 SNP2 SNP3 SNP5 SNP6 Hap SNP8 SNP9 SNP10 Hap SNP11 SNP12 SNP13 SNP14 Hap Fengliangyou Xiang 1 Hybrid rice GG GG AG AC AT / GG GG AA Hap1 AA CC CC GG Hap1 0.0 Yuanliangyou 968 Hybrid rice CC GG AA CC AA Hap1 GG GG AA Hap1 TT AG CC GG Hap1 0.0 Ping liangyou Simiao Hybrid rice CC GG AA CC AA Hap1 GG GG AC Hap1 AA CC CC GG Hap1 0.0 Gong liangyou Simiao Hybrid rice CC GG AA CC AA Hap1 GG GG AA Hap1 AA CC CC GG Hap1 0.0 Zhenyou Jinggui Zhan Hybrid rice CC GG AA CC AA Hap1 GG GG AA Hap1 AA CC CC GG Hap1 0.0 Zhenyou Yuennong Simiao Hybrid rice CC GG AA CC AA Hap1 GG GG AA Hap1 AA CC CC GG Hap1 0.0 Wufengyou 619 Hybrid rice CC GG AA CC AA Hap1 GG GG AA Hap1 AA CC CC GG Hap1 0.0 Xinliangyou jinggui Zhan Hybrid rice CC GG AA CC AA Hap1 GG GG AA Hap1 AA CC CC GG Hap1 0.0 Yuanyou jinggui Zhan Hybrid rice CC GG AA CC AA Hap1 GG GG AA Hap1 AA CC CC GG Hap1 0.0 Taoyou Yuennong Simiao Hybrid rice CC GG AA CC AA Hap1 GG GG AA Hap1 AA CC CC GG Hap1 0.0 Gongliangyou 892 Hybrid rice CC GG AA CC AA Hap1 GG GG AA Hap1 GG CC CC AA Hap3 0.0 Jinggui Zhan Indica CC GG AA CC AA Hap1 GG GG AA Hap1 AA CC CC GG Hap1 0.0 Hua Zhan Indica CC GG AA CC AA Hap1 GG GG AA Hap1 GG CC CC GG Hap2 0.0 R9311 Indica CC GG AA CC AA Hap1 GG GG CC Hap2 AA CC CC GG Hap1 0.0 Minghui 86 Indica GG CC AA CC TT Hap2 GG GG AA Hap1 AA CC CC GG Hap1 0.0 R8612 Indica GG CC AA CC TT Hap2 GG GG AA Hap1 AA CC CC GG Hap1 0.0 Zhenhui 084 Indica GG CC AA CC TT Hap2 GG GG AA Hap1 GG CC CC AA Hap3 0.0 Yuennong Simiao Indica CC GG AA CC AA Hap1 GG GG AA Hap1 AA CC CC GG Hap1 0.0 Shaoxiang 100 Indica CC GG AA CC AA Hap1 GG GG AC Hap1 AA CC CC GG Hap1 0.0 Guanghui 398 Indica GG CC AA CC TT Hap2 GG GG AA Hap1 AA CC CC GG Hap1 0.0 Xiangzaoxian 45 Indica GG CC AA CC TT Hap2 GG GG AA Hap1 AA CC CC GG Hap1 0.0 Meixiangzhan 2 Indica GG CC AA CC TT Hap2 GG GG AA Hap1 AA CC CC GG Hap1 0.0 Shuhui 527 Indica GG CC AA CC TT Hap2 GG GG AA Hap1 GG CC CC AA Hap3 0.0 R676 Indica GG CC AA CC AA Hap4 GG GG AA Hap1 GG CC CC AA Hap3 69.0 Yungeng 15 Japonica CC GG AA CC AA Hap1 GG GG CC Hap2 AA CC CC GG Hap1 4.9 Suigeng 18 Japonica GG CC AA CC TT Hap2 GG GG AA Hap1 AA CC CC GG Hap1 13.7 Nangeng 5055 Japonica GG CC AA CC TT Hap2 GG GG AA Hap1 AA CC CC GG Hap1 1.0 Jiahexiang 1 Japonica GG CC AA CC TT Hap2 GG GG AA Hap1 GG CC CC GG Hap2 9.0 Songzaoxiang 1 Japonica GG CC AA CC TT Hap2 GG GG AA Hap1 GG CC CC GG Hap2 6.3 Songxianggeng 1018 Japonica GG CC AA CC TT Hap2 GG GG AA Hap1 GG CC CC GG Hap2 4.4 Longken 2021 Japonica GG CC AA CC TT Hap2 GG GG AA Hap1 CC GG CC GG Hap2 9.6 Nangengjinggu Japonica GG CC AA CC TT Hap2 GG GG AA Hap1 GG CC CC GG Hap2 15.9 Nangeng 3908 Japonica GG CC AA CC TT Hap2 GG GG AA Hap1 GG CC CC GG Hap2 8.4 Sidao 17 Japonica GG CC AA CC TT Hap2 GG GG AA Hap1 GG CC CC GG Hap2 1.1 Zhendao 28 Japonica GG CC AA CC TT Hap2 GG GG AA Hap1 GG CC CC GG Hap2 0.0 Huaidao 5 Japonica GG CC AA CC TT Hap2 GG GG AA Hap1 GG CC CC GG Hap2 0.9 Nangeng 9108 Japonica GG CC AA CC TT Hap2 GG GG AA Hap1 GG CC CC GG Hap2 0.0 Suxianggeng 100 Japonica GG CC AA CC TT Hap2 GG GG AA Hap1 GG CC CC AA Hap3 18.6 Jingeng 818 Japonica GG CC AA CC TT Hap2 GG GG CC Hap2 CT AA CC AA Hap3 0.0 Ningxianggeng 9 Japonica GG CC AA CC TT Hap2 GG GG AA Hap1 GG CC CC GG Hap2 13.1 Nangeng 5718 Japonica GG CC AA CC TT Hap2 GG AA AA Hap3 GG CC CC GG Hap2 46.6 Dongdao 275 Japonica GG CC AA CC TT Hap2 GG GG AA Hap1 GG CC CC GG Hap2 18.9 This table provides classification information for 42 rice germplasm used in production applications, comprising 13 indica, 18 japonica, and 11 hybrid indica rice varieties. Using molecular markers such as CTS11-824-KASP, CTS11-565-KASP, CTS11-785-KASP, among others (as listed in Supplementary Table S3), we assessed the genotype information at specific SNP loci and determined the haplotype classification results across three LD blocks. For LD BLOCK1, five SNP loci were identified: SNP1 corresponds to SNP340918381, SNP2 to SNP340918425, SNP3 to SNP340918724, SNP5 to SNP340920663, and SNP6 to SNP340921611. In LD BLOCK2, three SNP loci were examined: SNP8 corresponds to SNP340922018, SNP9 to SNP340922122, and SNP10 to SNP340922253. In LD BLOCK3, four SNP loci relationships are provided: SNP11 corresponds to SNP340922267, SNP12 to SNP340922304, SNP13 to SNP340922331, and SNP14 to SNP340922342, consistent with Table 2 . Seedling survival rates were assessed following an initial constant temperature treatment at 6℃ for seven days during the seedling stage, followed by a recovery growth period of ten days. 2.2 Experimental design 2.2.1 Cold treatment of tested materials at seedling stage The experimental materials were subjected to a controlled thermal treatment at 45°C for a duration of 48 hours to effectively decrease moisture content and induce dormancy release. A set of 500 seeds from each material underwent surface sterilization utilizing a 1.5% (v/v) sodium hypochlorite solution for 20 minutes, followed by comprehensive rinsing with ultrapure water to ensure the removal of residual sterilant. Subsequent to sterilization, the seeds were immersed in water for a period of two days and then germinated in a constant temperature chamber maintained at 32°C for approximately 24 hours. Upon attaining a radicle length of around 5 mm, uniformly germinated seeds were planted into 96-well germination plates, with each experimental replicate comprising 32 seeds, and three replicates were conducted per material. Nutrient solution was applied to the plates, which were cultivated under ambient light conditions at 28°C for a fortnight. Subsequently, the seedlings were relocated to a phytotron, exposed to a constant temperature of 6°C for 7 days. Following this cold treatment, samples were returned to room temperature conditions (28°C) under normal photoperiod for a subsequent growth period of 10 days. Post-recovery, the survival count of seedlings was documented, and the percentage of successful seedling establishment was computed. 2.2.2 Extraction of SNP information for the OsCTS11 gene The sequence information for the OsCTS11 gene, identified as LOC_Os11g40600 , was obtained from the Rice Genome Annotation Project specific to the Nipponbare variety. The coding sequence (CDS) region of OsCTS11 resides on the positive strand, spanning nucleotide positions 24,226,246 to 24,227,813. Genomic single nucleotide polymorphism (SNP) data for the 3K rice panel, encompassing 3,024 accessions, was sourced from snp-seek.irri.org/_download.zul. Utilizing PLINK (v1.9) software, SNPs located within the CDS region of the OsCTS11 , including 2 kb upstream and 1 kb downstream (position range: 24,225,245 to 24,228,813 bp), were extracted and filtered for the 529 core accessions evaluated in this study. The filtration process involved excluding SNPs and samples with missing rates greater than 0.2, and SNPs with a minor allele frequency (MAF) below 0.05. Subsequent analysis of linkage disequilibrium (LD) and LD BLOCK was conducted using Haploview software (Barrett et al. 2005 ; Slatkin 2008 ; Wu et al. 2022 ). Following filtration, 429 germplasm accessions were classified into haplotypes as detailed in Table S1. Similarly, the full 3K rice panel accessions underwent identical SNP filtering criteria, resulting in the LD and haplotype analysis via Haploview. Post-filtering, 2,322 germplasm accessions were categorized into haplotypes (Table S2). 2.2.3 Haplotype analysis of SNP information for the OsCTS11 gene Genomic and phenotypic datasets were standardized using established bioinformatics tools including PLINK (v1.9), TASSEL5 (v5.2.81), and R (v4.2.1) (Yu et al. 2025a ). For the 429 core accessions from the 3K rice panel, haplotype resolution was conducted within LD BLOCK1, LD BLOCK2, and LD BLOCK3 situated in the OsCTS11 genomic interval (Chr11: 24,225,245 − 24,229,813). This analysis utilized the geneHapR package in R (Table S1) (Zhang et al. 2023 ). To explore haplotype-phenotype relationships, phenotypic data were integrated, followed by one-way ANOVA using IBM SPSS Statistics 27 to identify haplotypes demonstrating significant phenotypic variation ( P < 0.05). Visualization of haplotype distribution patterns across subspecies, including indica and japonica, was achieved through GraphPad Prism 9. Additionally, haplotype analysis for the full set of 3,024 accessions from the 3K rice panel was performed focusing on homologous segments analogous to LD BLOCK1, LD BLOCK2, and LD BLOCK3 of OsCTS11 . Geospatial visualizations of global haplotype distributions were constructed using R, with the objective of elucidating specific geographic population structures tied to distinct haplotypes. All statistical analyses incorporated Bonferroni correction for multiple comparisons, establishing a significance threshold at α = 0.01 (Table S2). 2.3 Primer sequences for molecular markers targeting the beneficial haplotype of the OsCTS11 DNA was extracted from both the 3K panel resources and commercially utilized rice germplasm using the CTAB method. KASP (Kompetitive Allele Specific PCR) primers were meticulously designed using Primer5 software to target 12 SNP loci within the OsCTS11 gene (C et al. 2014; Yu et al. 2025a ). This included 12 pairs of molecular markers, such as CTS11-824-KASP, CTS11-868-KASP, and CTS11-106-KASP etc, each consisting of two allele-specific primers alongside a universal primer (Table S3). The first allele-specific primer was labeled with the FAM fluorophore at its 5′ end (sequence: GAAGGTGACCAAGTTCATGCT). Following PCR amplification, products containing the FAM sequence exhibited a circular orange fluorescence under illumination, indicative of either wild-type homozygous or mutant homozygous genotypes. The second allele-specific primer was tagged with the HEX fluorophore at its 5′ end (sequence: GAAGGTCGGAGTCAACGGATT). Post-amplification, products containing the HEX sequence displayed square blue fluorescence, signifying either mutant homozygous or wild-type homozygous genotypes. Heterozygous genotypes were represented by a triangular green fluorescence. PCR amplification was performed in a 10 µL reaction volume comprising 5 µL PARMS 2X Master Mix (Wuhan, China), 0.15 µL of each 10 µmol·L − 1 FAM and HEX primers, 0.4 µL C primer, 1 µL DNA at a concentration range of 10–100 ng, and 3.3 µL ddH 2 O. Real-time fluorescent quantitative PCR amplification and fluorescence capture were executed using the CFX Real-Time System (Bio-Rad, USA). The thermal cycling protocol was structured as follows: initial denaturation at 94°C for 15 minutes, succeeded by a touchdown phase of 10 cycles, consisting of 94°C for 20 seconds and 65°C, decreasing by 0.8°C per cycle, for 1 minute. This was followed by an amplification phase comprising 30 cycles at 94°C for 20 seconds and 57°C for 1 minute. Finally, fluorescence signal acquisition took place at 37°C for 1 minute (Yu et al. 2025a ). 2.4 Transcriptional profiling and RT-qPCR expression analysis Seedling leaves were collected from the cold-sensitive germplasm IRIS_313-10275 and the cold-tolerant germplasm IRIS_313-11725, obtained from both control and cold stress treatment groups, where seedlings were incubated at a constant 6°C for 7 days in a growth chamber (Table S1). Transcriptome sequencing was contracted to Tsingke Biological Technology Co., Ltd. (Beijing, China). Utilizing the Nipponbare reference genome (Oryza_sativa.IRGSP-1.0.58), changes in the expression levels of the OsCTS11 before and after cold stress were analyzed using a t-test in IBM SPSS Statistics 27. For the 10 haplotype combinations within LD BLOCK1 to LD BLOCK3, eight accessions representing each combination were selected from the 429 core 3K rice germplasm resources, totaling 80 samples (Table 2 ). RT-qPCR was utilized to analyze the expression of the OsCTS11 in seedling leaves from both control and cold-stressed groups of these 80 accessions. Total RNA was extracted using TRIzol™ Reagent (Thermo Fisher Scientific, USA). Genomic DNA removal and reverse transcription were performed using a gDNA Eraser Kit (Vazyme, China). qPCR was subsequently conducted on a CFX Real-Time System (Bio-Rad, USA) with SYBR® Green Premix Ex Taq II (Takara, RR820A). Actin ( LOC_Os03g50885 ) served as the internal reference gene, and relative quantification was carried out using the 2 −ΔΔCt method. All reactions included three biological replicates and no-template negative controls. The sequences of the RT-qPCR primers for OsCTS11 (CTS11F/CTS11R) and Actin (Actin67F/Actin67R) are provided in Table S4. Table 2 KASP genotyping results of SNP loci within LD BLOCKS 1–3 of the OsCTS11 in 80 samples from the 3K Germplasm collection. Cultivar ID KASP genotyping results 3K haplotype CTS11 BLOCK1 CTS11 BLOCK2 CTS11 BLOCK3 SNP1 SNP2 SNP3 SNP5 SNP6 SNP8 SNP9 SNP10 SNP11 SNP12 SNP13 SNP14 CTS11 BLOCK1 CTS11 BLOCK2 CTS11 BLOCK3 B006 C G A C A G G A A C C G Hap1(CGACA) Hap1(GGA) Hap1(ACCG) B011 C G A C A G G A A C C G Hap1(CGACA) Hap1(GGA) Hap1(ACCG) B015 C G A C A G G A A C C G Hap1(CGACA) Hap1(GGA) Hap1(ACCG) B016 C G A C A G G A A C C G Hap1(CGACA) Hap1(GGA) Hap1(ACCG) B032 C G A C A G G A A C C G Hap1(CGACA) Hap1(GGA) Hap1(ACCG) B040 C G A C A G G A A C C G Hap1(CGACA) Hap1(GGA) Hap1(ACCG) B090 C G A C A G G A A C C G Hap1(CGACA) Hap1(GGA) Hap1(ACCG) B094 C G A C A G G A A C C G Hap1(CGACA) Hap1(GGA) Hap1(ACCG) CX106 C G A C A G G A G C C A Hap1(CGACA) Hap1(GGA) Hap3(GCCA) CX111 C G A C A G G A G C C A Hap1(CGACA) Hap1(GGA) Hap3(GCCA) CX380 C G A C A G G A G C C A Hap1(CGACA) Hap1(GGA) Hap3(GCCA) CX397 C G A C A G G A G C C A Hap1(CGACA) Hap1(GGA) Hap3(GCCA) IRIS_313.10552 C G A C A G G A G C C A Hap1(CGACA) Hap1(GGA) Hap3(GCCA) IRIS_313.10582 C G A C A G G A G C C A Hap1(CGACA) Hap1(GGA) Hap3(GCCA) IRIS_313.10710 C G A C A G G A G C C A Hap1(CGACA) Hap1(GGA) Hap3(GCCA) IRIS_313.10827 C G A C A G G A G C C A Hap1(CGACA) Hap1(GGA) Hap3(GCCA) CX150 C G A C A G G C A C C G Hap1(CGACA) Hap2(GGC) Hap1(ACCG) CX364 C G A C A G G C A C C G Hap1(CGACA) Hap2(GGC) Hap1(ACCG) IRIS_313.10609 C G A C A G G C A C C G Hap1(CGACA) Hap2(GGC) Hap1(ACCG) IRIS_313.11266 C G A C A G G C A C C G Hap1(CGACA) Hap2(GGC) Hap1(ACCG) IRIS_313.11491 C G A C A G G C A C C G Hap1(CGACA) Hap2(GGC) Hap1(ACCG) IRIS_313.11648 C G A C A G G C A C C G Hap1(CGACA) Hap2(GGC) Hap1(ACCG) IRIS_313.11722 C G A C A G G C A C C G Hap1(CGACA) Hap2(GGC) Hap1(ACCG) IRIS_313.11747 C G A C A G G C A C C G Hap1(CGACA) Hap2(GGC) Hap1(ACCG) B049 C G A C A G G C G T C G Hap1(CGACA) Hap2(GGC) Hap2(GCCG) CX143 C G A C A G G C G T C G Hap1(CGACA) Hap2(GGC) Hap2(GCCG) CX160 C G A C A G G C G T C G Hap1(CGACA) Hap2(GGC) Hap2(GCCG) IRIS_313.10605 C G A C A G G C G T C G Hap1(CGACA) Hap2(GGC) Hap2(GCCG) IRIS_313.10875 C G A C A G G C G T C G Hap1(CGACA) Hap2(GGC) Hap2(GCCG) IRIS_313.10877 C G A C A G G C G T C G Hap1(CGACA) Hap2(GGC) Hap2(GCCG) IRIS_313.10878 C G A C A G G C G T C G Hap1(CGACA) Hap2(GGC) Hap2(GCCG) IRIS_313.10884 C G A C A G G C G C C G Hap1(CGACA) Hap2(GGC) Hap2(GCCG) B046 C G A C A G A A G C C G Hap1(CGACA) Hap3(GAA) Hap2(GCCG) B167 C G A C A G A A G C C G Hap1(CGACA) Hap3(GAA) Hap2(GCCG) B183 C G A C A G A A G C C G Hap1(CGACA) Hap3(GAA) Hap2(GCCG) B263 C G A C A G A A G C C G Hap1(CGACA) Hap3(GAA) Hap2(GCCG) IRIS_313.10570 C G A C A G A A G C C G Hap1(CGACA) Hap3(GAA) Hap2(GCCG) IRIS_313.12061 C G A C A G A A G C C G Hap1(CGACA) Hap3(GAA) Hap2(GCCG) B018 C G A C A G A A G T T G Hap1(CGACA) Hap3(GAA) Hap4(GTTG) IRIS_313.10829 C G A C A G A A G T T G Hap1(CGACA) Hap3(GAA) Hap4(GTTG) IRIS_313.10832 C G A C A G A A G T T G Hap1(CGACA) Hap3(GAA) Hap4(GTTG) IRIS_313.10866 C G A C A G A A G T T G Hap1(CGACA) Hap3(GAA) Hap4(GTTG) IRIS_313.11077 C G A C A G A A G T T G Hap1(CGACA) Hap3(GAA) Hap4(GTTG) IRIS_313.11155 C G A C A G A A G T T G Hap1(CGACA) Hap3(GAA) Hap4(GTTG) IRIS_313.11495 C G A C A G A A G T T G Hap1(CGACA) Hap3(GAA) Hap4(GTTG) IRIS_313.11617 C G A C A G A A G T T G Hap1(CGACA) Hap3(GAA) Hap4(GTTG) CX158 C G A C A A G A G C C A Hap1(CGACA) Hap4(AGA) Hap3(GCCA) CX342 C G A C A A G A G C C A Hap1(CGACA) Hap4(AGA) Hap3(GCCA) CX64 C G A C A A G A G C C A Hap1(CGACA) Hap4(AGA) Hap3(GCCA) CX90 C G A C A A G A G C C A Hap1(CGACA) Hap4(AGA) Hap3(GCCA) IRIS_313.10050 C G A C A A G A G C C A Hap1(CGACA) Hap4(AGA) Hap3(GCCA) IRIS_313.10509 C G A C A A G A G C C A Hap1(CGACA) Hap4(AGA) Hap3(GCCA) IRIS_313.10518 C G A C A A G A G C C A Hap1(CGACA) Hap4(AGA) Hap3(GCCA) IRIS_313.10544 C G A C A A G A G C C A Hap1(CGACA) Hap4(AGA) Hap3(GCCA) B003 G C A C T G G C G C C G Hap2(GCACT) Hap2(GGC) Hap2(GCCG) CX142 G C A C T G G C G C C G Hap2(GCACT) Hap2(GGC) Hap2(GCCG) CX262 G C A C T G G C G C C G Hap2(GCACT) Hap2(GGC) Hap2(GCCG) CX285 G C A C T G G C G C C G Hap2(GCACT) Hap2(GGC) Hap2(GCCG) CX344 G C A C T G G C G C C G Hap2(GCACT) Hap2(GGC) Hap2(GCCG) CX359 G C A C T G G C G C C G Hap2(GCACT) Hap2(GGC) Hap2(GCCG) IRIS_313.10065 G C A C T G G C G C C G Hap2(GCACT) Hap2(GGC) Hap2(GCCG) IRIS_313.10080 G C A C T G G C G C C G Hap2(GCACT) Hap2(GGC) Hap2(GCCG) B027 C G G A A G G C A C C G Hap3(CGGCA) Hap2(GGC) Hap1(ACCG) B180 C G G A A G G C A C C G Hap3(CGGCA) Hap2(GGC) Hap1(ACCG) CX120 C G G A A G G C A C C G Hap3(CGGCA) Hap2(GGC) Hap1(ACCG) CX124 C G G A A G G C A C C G Hap3(CGGCA) Hap2(GGC) Hap1(ACCG) CX226 C G G A A G G C A C C G Hap3(CGGCA) Hap2(GGC) Hap1(ACCG) CX240 C G G A A G G C A C C G Hap3(CGGCA) Hap2(GGC) Hap1(ACCG) CX303 C G G A A G G C A C C G Hap3(CGGCA) Hap2(GGC) Hap1(ACCG) CX305 C G G A A G G C A C C G Hap3(CGGCA) Hap2(GGC) Hap1(ACCG) B001 G C A C A G A A G C C G Hap4(GCACA) Hap3(GAA) Hap2(GCCG) B004 G C A C A G A A G C C G Hap4(GCACA) Hap3(GAA) Hap2(GCCG) B045 G C A C A G A A G C C G Hap4(GCACA) Hap3(GAA) Hap2(GCCG) B103 G C A C A G A A G C C G Hap4(GCACA) Hap3(GAA) Hap2(GCCG) B152 G C A C A G A A G C C G Hap4(GCACA) Hap3(GAA) Hap2(GCCG) B160 G C A C A G A A G C C G Hap4(GCACA) Hap3(GAA) Hap2(GCCG) B162 G C A C A G A A G C C G Hap4(GCACA) Hap3(GAA) Hap2(GCCG) B182 G C A C A G A A G C C G Hap4(GCACA) Hap3(GAA) Hap2(GCCG) This table presents the KASP genotyping results for 80 samples from the 3K germplasm, utilizing 12 molecular markers including CTS11-824-KASP, CTS11-565-KASP, and CTS11-785-KASP (as detailed in Table S3). Additionally, it displays the 3K haplotypes from the IRRI-SNP database. The correspondence of the 12 SNP loci within LD BLOCKS 1–3 follows the same relationships as described in Table 1 . Supplementary Tables 3. Results and analysis 3.1 Analysis of favorable haplotypes for the OsCTS11 Using PLINK software, SNP screening was conducted on the coding sequence (CDS) of the OsCTS11 and its flanking regulatory regions (2 kb upstream and 1 kb downstream) in the filtered 429 core germplasm accessions from the 3K rice core collection. A total of 14 polymorphic SNPs loci were identified in introns and regulatory regions, comprising 1 SNP in an intron, 10 SNPs in the upstream regulatory region, and 3 SNPs in the downstream regulatory region (Fig. 1 A).LDanalysis revealed that 3 SNPs in the downstream regulatory region (Chr11-24225824 (SNP340918381, C/G), Chr11-24225868 (SNP340918425, G/C), Chr11-24226167 (SNP340918724, A/G)) and 2 SNPs in the upstream regulatory region (Chr11-24228106 (SNP340920663, C/A), Chr11-24229054 (SNP340921611, A/T)) formed a significant LD BLOCK (LD BLOCK1) (Fig. 1 B). The pairwise LD strength indicator D' values ranged from 0.86 to 1.00 between these SNPs, indicating strong linkage disequilibrium (Fig. 1 B). Haplotype analysis demonstrated that these 5 SNPs could be categorized into 4 primary haplotypes. Hap1 (CGACA) was predominantly found in indica rice (67%), Hap2 (GCACT) was prevalent in japonica rice (54.3%), Hap3 (CGGAA) was predominant in indica rice (97.4%), and Hap4 (GCACA) was prevalent in japonica rice (97.1%) (Fig. 1C1). Following cold stress treatment, Hap4 exhibited the highest seedling survival rate (65.38%), significantly surpassing those of Hap1 (22.26%), Hap2 (36.07%), and Hap3 (16.19%) (Fig. 1C2). Consequently, Hap4 was identified as the favorable haplotype for seedling-stage cold tolerance within the LD BLOCK1 region of the OsCTS11 . The SNPs located in the upstream regulatory region at Chr11-24229461 (SNP340922018, G/A), Chr11-24229565 (SNP340922122, G/A), and Chr11-24229696 (SNP340922253, A/C) formed a significant linkage disequilibrium LD BLOCK (LD BLOCK2) (Fig. 1 B). Haplotype analysis demonstrated that these 3 SNPs could be classified into four primary haplotypes. Hap1 (GGA) was predominantly found in indica rice (74.3%), Hap2 (GGC) accounted for 48.8% in indica rice, Hap3 (GAA) was primarily present in japonica rice (96.6%), and Hap4 (AGA) was mainly observed in indica rice (92.7%) (Fig. 1D1). Under seedling-stage cold stress, Hap3 showed the highest seedling survival rate (58.41%), significantly exceeding those of Hap1 (22.38%), Hap2 (23.32%), and Hap4 (10.24%) (Fig. 1D2). Thus, Hap3 was identified as the favorable haplotype for seedling-stage cold tolerance within the LD BLOCK2 region of the OsCTS11 . The SNPs located in the upstream regulatory region at Chr11-24229710 (SNP340922267, A/G), Chr11-24229747 (SNP340922304, C/T), Chr11-24229774 (SNP340922331, C/T), and Chr11-24229785 (SNP340922342, G/A) constituted a significant linkage disequilibrium LD BLOCK (LD BLOCK3) (Fig. 1 B). Haplotype analysis indicated that these 4 SNPs could be classified into four primary haplotypes. Hap1 (ACCG) was predominantly present in indica rice (85.7%), Hap2 (GCCG) was primarily found in japonica rice (56.1%), Hap3 (GCCA) was mainly observed in indica rice (59.4%), and Hap4 (GTTG) was largely distributed in japonica rice (95.2%) (Fig. 1E1). Regarding seedling survival rate, Hap4 demonstrated superior performance (51.48%), significantly surpassing those of Hap1 (19.02%) and Hap3 (22.64%), and exceeding that of Hap2 (39.92%) (Fig. 1E2). Consequently, Hap4 was identified as the favorable haplotype for seedling-stage cold tolerance within the LD BLOCK3 region of the OsCTS11 . The results above indicate that Hap4 within LD BLOCK1, Hap3 within LD BLOCK2, and Hap4 within LD BLOCK3 of the OsCTS11 are dominant haplotypes, predominantly present in japonica rice. These haplotypes represent significant genetic markers for molecular breeding initiatives aimed at improving seedling-stage cold tolerance in rice. 3.2 Haplotype distribution of 3K germplasms Using the geneHapR analysis tool in R, haplotype resolution was conducted on 5 critical SNP sites within LD BLOCK1 of the OsCTS11 across 2,277 filtered rice accessions from the 3K germplasm panel. The analysis revealed significant variations in the frequency distribution of the four major haplotypes: Hap1 (79.19%), Hap3 (10.92%), Hap2 (10.37%), and Hap4 (8.00%) (Fig. 2A1). Further examination elucidated the subpopulation composition characteristics for each haplotype. Hap1 was predominantly composed of indica rice (Indica I-III, Indadx, 52.98%), with a substantial contribution from japonica rice (Japadx, TEJ, TRJ, 36.66%), while other types were less represented. Hap2 primarily consisted of indica rice (Indica II, Indica III, Indadx, 94.26%), with smaller contributions from Indica I, TRJ, and Intermediate types. Similarly, Hap3 was mainly constituted by indica rice (Indica II, Indica III, Indadx, 92.31%), with lower frequencies in Indica I, TRJ, and Intermediate types. The dominant haplotype Hap4 comprised 74.57% japonica types, specifically Japadx, temperate japonica (TEJ), and tropical japonica (TRJ), accounting for 13.29%, 10.98%, and 50.29% respectively, while indica (Indica I, Indica II), intermediate (Admix), and Aro types were less prevalent (Fig. 2A2). A systematic analysis of global haplotype distribution patterns revealed distinct geographical and climatic associations for each haplotype. Hap1 exhibited a pronounced latitudinal gradient, with its core distribution (40°N-55°N) encompassing the temperate continental climate zones of North America and Europe. In contrast, Hap2 was confined to the tropical monsoon climate belt between 0°-15°N, where its distribution frequency correlated significantly with annual accumulated temperatures exceeding 6500°C. Hap3 displayed a belt-like distribution along the subtropical monsoon belt (10°-22°N), showing specific adaptation to transitional monsoon periods characterized by alternating dry and wet seasons. Hap4 demonstrated a unique complementarity between the Northern Hemisphere temperate core zone (30°-40°N) and the Southern Hemisphere tropical marginal zone (5°S-10°N). This trans-latitude distribution illustrated the adaptive expansion of japonica cultivation systems from temperate plains to tropical mountainous regions at elevations between 800–1500 meters, fostering the evolution of cold-tolerant rice varieties. The spatial differentiation among the four haplotypes collectively reflected adaptive responses of rice cultivation systems to climatic zones, elevation gradients, and agricultural practices. Notably, the latitudinal range from Hap1 to Hap4 spanned 85 degrees, with an annual precipitation gradient of 800–4000 mm, emphasizing crop genetic diversity's response mechanisms to environmental heterogeneity (Fig. 2A3). Utilizing the geneHapR analysis tool in R, haplotype resolution was conducted on 3 key SNP sites within LD BLOCK2 of the OsCTS11 across 2,322 rice accessions from the 3K germplasm panel. The analysis unveiled notable differences in the frequency distribution of the 4 main haplotypes: Hap1 (43.96%), Hap2 (31.78%), Hap3 (15.28%), and Hap4 (9.02%) (Fig. 2B1). Further examination revealed the subpopulation composition characteristics of each haplotype. Hap1 predominantly comprised indica rice (Indica I-III, Indadx, 73.73%), with contributions from japonica rice (Japadx, TEJ, 36.66%) and AUS rice (11.76%), whereas other types were less prevalent. Hap2 was primarily constituted by japonica rice (TRJ, TEJ, Japadx, 52.82%), supplemented by indica rice (Indica II, Indica III, Indadx, 34.45%), with Indica I, Admix, and AUS being less frequent. Hap3 consisted of both indica (41.34%) and japonica (44.44%) rice, where Indica III, Indadx, Indica II, TRJ, TEJ, Japadx, and Aro types were relatively abundant. In Hap4, indica types accounted for 87.98%, while AUS rice constituted 12.02%, with Indica III and Indadx being particularly prominent (Fig. 2B2). A systematic analysis of global haplotype distribution patterns revealed distinct geographical and climatic associations for each haplotype. Hap1 was primarily distributed across Europe and North Africa, with minor occurrences in certain parts of Asia, predominantly situated within temperate maritime and Mediterranean climate zones. Hap2 was mainly found in sub-Saharan Africa, with additional distributions in South Asia and the Middle East, largely located in tropical grassland and tropical desert climate zones. Hap3 was chiefly distributed in East Asia, with detectable presence also in Southeast Asia and some Pacific islands, centered in subtropical monsoon and temperate monsoon climate zones. Hap4 exhibited a widespread distribution across the American continents, encompassing North, Central, and South America, and extending to certain islands. This haplotype was characterized by climates featuring either consistently high temperatures with abundant year-round rainfall or distinct seasons with significant temperature variations (Fig. 2B3). Using the geneHapR analysis tool in R, haplotype resolution was conducted on 4 key SNP sites within LD BLOCK3 of the OsCTS11 across 2,300 rice accessions from the 3K germplasm panel. The analysis revealed significant differences in the frequency distribution of the 4 primary haplotypes: Hap1 (51.41%), Hap2 (25.57%), Hap3 (15.53%), and Hap4 (7.49%) (Fig. 2C1). Further examination highlighted the subpopulation composition characteristics of each haplotype. Hap1 was predominantly composed of indica rice (Indica I-III, Indadx, 71.76%), with japonica rice accounting for 16.30% (mainly Japadx, TEJ) and AUS rice constituting 10.67%, while other types were less prevalent. Hap2 mainly comprised japonica rice (TRJ, TEJ, 67.86%), supplemented by indica rice (Indica II, Indica III, 26.15%), followed by Aro rice (4.27%) and AUS rice (1.71%), with other types being less common. Hap3 was primarily formed by indica rice (Indica III, Indadx, 88.76%), with AUS rice accounting for 8.43%, and other types being scarce. Hap4 was chiefly constituted by japonica rice (TRJ, TEJ, Japadx, 77.38%), with indica rice making up only 7.14%, Aro rice at 11.31%, and other types being less frequent (Fig. 2C2). A systematic analysis of global haplotype distribution patterns showed that Hap1 was predominantly concentrated between 20°N and 40°N, encompassing temperate regions in North America, Europe, Asia (including East and Central Asia), and North Africa (such as the North African coast and the Sahel zone), primarily defined by temperate climates. In contrast, Hap2 was widely distributed across humid and semi-arid tropical regions between the equator and 30°S, including South America, Central/Southern Africa (e.g., the Congo Basin, the South African highlands), Eastern/Southern Australia, and tropical Asia (e.g., Southeast Asia, South Asia), predominantly featuring tropical and subtropical climates. Hap3 was concentrated in high-humidity, high-temperature areas near the equator (within 10° latitude north and south), found across Central/Southern Africa (e.g., the Congo Basin, South Africa), Northern South America (e.g., the Amazon rainforest), Northern Australia, and tropical lowlands of Asia (e.g., Indonesia, the Philippines), representing typical tropical climate types. Conversely, Hap4 displayed a distribution complementary to Hap1, present in higher-latitude temperate arid/semi-arid regions, including temperate zones of North America, Europe, and Asia, as well as North Africa (e.g., the Nile Valley), also classified under the temperate climate category. Consequently, Hap1 was associated with coastal temperate maritime climates, whereas Hap4 was prevalent in inland temperate continental climates, indicating Hap4's potential role in the evolution of cold-tolerant rice materials (Fig. 2C3). 3.3 Development of favorable haplotype molecular markers for the OsCTS11 KASP markers were developed utilizing Primer5 software to detect five SNP sites within LD BLOCK1 of the OsCTS11 : Chr11-24225824 (SNP340918381, C/G), Chr11-24225868 (SNP340918425, G/C), Chr11-24226167 (SNP340918724, A/G), Chr11-24228106 (SNP340920663, C/A), and Chr11-24229054 (SNP340921611, A/T). The marker for SNP340918381, termed CTS11-824-KASP, consisted of 3 primers: 824FAM, 824HEX, and 824C, designed to distinguish between C or G at Chr11-24225824. The 824FAM primer featured an FAM fluorescent label at its 5' end, terminating with a G at the 3' end, while the 824HEX primer had an HEX fluorescent label at the 5' end, ending with a C at the 3' end. After PCR amplification, fluorescence detection yielded results for Chr11-24225824 as follows: orange circles (FAM) representing the GG genotype, blue squares (HEX) indicating the CC genotype, and green triangles signifying the GC heterozygote (Fig. 3A1, Fig. 4A1). Similarly, the marker for SNP340918425 was CTS11-868-KASP, with results interpreted as: orange (FAM) for CC genotype, blue (HEX) for GG genotype, and green for CG heterozygote (Fig. 3A2, Fig. 4A2). The marker for SNP340918724 was CTS11-167-KASP, showing results where orange (FAM) denoted AA genotype, blue (HEX) GG genotype, and green AG heterozygote (Fig. 3A3, Fig. 4A3). The marker for SNP340920663 was CTS11-106-KASP, with results: orange (FAM) for CC genotype, blue (HEX) for AA genotype, and green for CA heterozygote (Fig. 3A4, Fig. 4A4). For SNP340921611, the marker CTS11-054-KASP displayed results of orange (FAM) indicating TT genotype, blue (HEX) AA genotype, and green TA heterozygote (Fig. 3A5, Fig. 4A5). Genotyping using these KASP markers enabled haplotype classification: CGACA was attributed to Hap1, GCACT to Hap2, CGGCA to Hap3, and GCACA identified as Hap4. Notably, Hap4 is the favorable haplotype for seedling-stage cold tolerance within LD BLOCK1 of the OsCTS11 . For the three SNP sites within LD BLOCK2—Chr11-24229461 (SNP340922018, G/A), Chr11-24229565 (SNP340922122, G/A), and Chr11-24229696 (SNP340922253, A/C)—corresponding KASP detection markers were developed. The marker for SNP340922018, termed CTS11-461-KASP, targeted Chr11-24229461. Its genotyping results were as follows: orange (FAM) indicated the GG genotype, blue (HEX) signified the AA genotype, and green represented the GA heterozygote (Fig. 3B1, Fig. 4B1). The marker for SNP340922122 was named CTS11-565-KASP, targeting Chr11-24229565, with results showing: orange (FAM) for the AA genotype, blue (HEX) for the GG genotype, and green for the AG heterozygote (Fig. 3B2, Fig. 4B2). The marker for SNP340922253, termed CTS11-696-KASP, targeted Chr11-24229696, presenting results where orange (FAM) indicated the AA genotype, blue (HEX) represented the CC genotype, and green denoted the AC heterozygote (Fig. 3B3, Fig. 4B3). Using these markers for genotyping, the following combinations were assigned to haplotypes: GGA was classified as Hap1, GGC was identified as Hap2, GAA belonged to Hap3, and AGA was assigned to Hap4. Among these, Hap3 is the favorable haplotype for seedling-stage cold tolerance within LD BLOCK2 of the OsCTS11 . For the four SNP sites within LD BLOCK3, Chr11-24229710 (SNP340922267, A/G), Chr11-24229747 (SNP340922304, C/T), Chr11-24229774 (SNP340922331, C/T), and Chr11-24229785 (SNP340922342, G/A), specific KASP detection markers were developed. The marker CTS11-710-KASP was employed for SNP340922267 at Chr11-24229710, with results interpreted as follows: orange (FAM) indicating the CC genotype, blue (HEX) indicating the TT genotype, and green indicating the CT heterozygote (Fig. 3C1, Fig. 4C1). For SNP340922304, the CTS11-747-KASP marker targeted Chr11-24229747, yielding results of orange (FAM) for GG genotype, blue (HEX) for AA genotype, and green for GA heterozygote (Fig. 3C2, Fig. 4C2). The CTS11-774-KASP marker was used for SNP340922331, presenting results as: orange (FAM) for CC genotype, blue (HEX) for TT genotype, and green for CT heterozygote (Fig. 3C3, Fig. 4C3). For SNP340922342, the CTS11-785-KASP marker targeted Chr11-24229785, with results indicating orange (FAM) for GG genotype, blue (HEX) for AA genotype, and green for GA heterozygote (Fig. 3C4, Fig. 4C4). Genotyping sample materials using these four KASP markers led to the assignment of genotype combinations to haplotypes: ACCG was identified as Hap1, GCCG was classified as Hap2, GCCA was assigned to Hap3. Importantly, Hap4 is recognized as the favorable haplotype for seedling-stage cold tolerance within LD BLOCK3 of the OsCTS11 . 3.4 Validation of haplotype-specific molecular markers for the OsCTS11 To validate the developed molecular markers, 80 accessions were selected from the 529 germplasm accessions assessed for cold tolerance within the 3K Rice Core Collection. These accessions represented the 10 distinct haplotype combinations across LD BLOCK1 to LD BLOCK3 of the OsCTS11 , with 8 accessions corresponding to each haplotype type (Table 2 ). The KASP technology was utilized employing 12 developed markers, including CTS11-824-KASP, CTS11-565-KASP, and CTS11-785-KASP etc, to genotype the selected 80 core collection accessions. The results were compared against the IRRI-SNP database (snp-seek.irri.org/_download.zul). Complete concordance was observed between all KASP genotyping results and the original SNP information, confirming that the 12 molecular markers, including CTS11-824-KASP, CTS11-565-KASP, and CTS11-785-KASP etc, effectively distinguish genetic variations at the 12 key SNP loci of the Os CTS11 (Table 2 ). To investigate the response mechanisms to low-temperature stress among different germplasms and haplotype combinations, transcriptome analysis was conducted on the seedling-stage cold-sensitive accession IRIS_313-10275 (seedling survival rate of 0.00% under seedling-stage cold stress, Table S1) and the cold-tolerant accession IRIS_313-11725 (seedling survival rate of 92.54% under seedling-stage cold stress, Table S1), comparing control and cold stress groups. The results demonstrated that following seedling-stage low-temperature stress, the expression levels of the OsCTS11 were significantly reduced in both cold-sensitive and cold-tolerant germplasms. Specifically, the expression level in cold-sensitive IRIS_313-10275 decreased by 7.6-fold, whereas in cold-tolerant IRIS_313-11725, it decreased by approximately 23.8-fold. These findings suggest that the OsCTS11 gene plays a negative regulatory role under low-temperature stress, indicating that lower expression levels of OsCTS11 are associated with enhanced low-temperature tolerance (Fig. 5 A). To further investigate the expression changes of OsCTS11 under cold stress associated with different haplotype combinations across LD BLOCK1 to LD BLOCK3, qRT-PCR analysis was conducted on 8 accessions per haplotype combination (totaling ten combinations) under seedling-stage room temperature conditions (CTSS 0 d) and after seven days of low-temperature treatment (CTSS 7 d) (Table 2 ). The results demonstrated that following seedling-stage cold stress, the expression levels of all haplotype combinations significantly decreased, with fold-changes ranging from 3.4 to 64.4. Notably, combinations Hap1 + Hap3 + Hap2, Hap1 + Hap3 + Hap4, and Hap4 + Hap3 + Hap2, which included favorable haplotypes Hap4 from LD BLOCK1, Hap3 from LD BLOCK2, and Hap4 from LD BLOCK3, respectively, exhibited greater reductions of 28.1-fold, 39.9-fold, and 64.4-fold. In contrast, the remaining 7 combinations lacking these favorable haplotypes showed fold-changes between 3.4- and 8.2-fold (Fig. 5 B). These findings suggest that under the influence of favorable haplotypes, the expression level of the OsCTS11 decreases more markedly, thereby enhancing seedling-stage cold tolerance. 3.5 Haplotype analysis of the OsCTS11 gene in 42 rice accessions KASP genotyping technology was employed to detect and determine the haplotypes of 12 key SNP loci (SNP340918381, SNP340918425, SNP340918724, etc.) within BLOCK 1, BLOCK 2, and BLOCK 3 of the OsCTS11 in 42 rice accessions, including commercially utilized germplasm and hybrid rice varieties. The results indicated that 9 hybrid rice varieties, such as Pingliang You Mingyue Simiao, exhibited a haplotype combination of Hap1 + Hap1 + Hap1 across BLOCK 1, BLOCK 2, and BLOCK 3. Gongliangyou 892 had a combination of Hap1 + Hap1 + Hap3, while Fengliangyou Xiang 1 showed Hap1 + Hap1 for BLOCK 1 and BLOCK 2. 11 hybrid rice varieties lacked the favorable haplotypes in BLOCK 1, BLOCK 2, and BLOCK 3, and all exhibited a 0% seedling survival rate under low-temperature conditions. Among the indica rice materials, Jingguizhan, Yueong Si Miao, and Shaoxiang 100 had a haplotype combination of Hap1 + Hap1 + Hap1 for BLOCK 1, BLOCK 2, and BLOCK 3. Minghui 86, R8612, Guanghui 398, Xiangzaoshan 45, and Meixiangzhan 2 showed a combination of Hap2 + Hap1 + Hap1, while Zhenhui 084 and Shuhui 527 had Hap2 + Hap1 + Hap3. Huazhan presented Hap1 + Hap1 + Hap2, and R9311 had Hap1 + Hap2 + Hap1. These indica rice accessions did not carry the favorable haplotypes, and their seedling survival rates under low-temperature conditions were also 0%. In contrast, the indica rice variety R676 displayed the favorable haplotype Hap4 in BLOCK 1, along with Hap1 and Hap3 in BLOCK 2 and BLOCK 3, resulting in a haplotype combination of Hap4 + Hap1 + Hap3. This variety achieved a seedling survival rate of 69.0% under low-temperature stress, demonstrating exceptional cold tolerance. Suigeng 18 and Nangeng 5055 had haplotypes Hap2, Hap1, and Hap1 for BLOCK 1, BLOCK 2, and BLOCK 3, respectively. 12 japonica rice varieties, including Jiahe Xiang 1, Songzao Xiang 1, and Songxianggeng 1018, showed a combination of Hap2 + Hap1 + Hap2. Ningxianggeng 9, Nangeng 5718, and Dongdao 275 had Hap2 + Hap3 + Hap2. Yungeng 15 exhibited Hap1 + Hap2 + Hap1, Suxianggeng 100 had Hap2 + Hap1 + Hap3, and Jingeng 818 showed Hap2 + Hap2 + Hap3. These japonica rice materials did not carry the favorable haplotypes, and their seedling survival rates under low-temperature conditions ranged from 0.0–18.9%. Notably, the japonica rice variety Nangeng 5718 carried the favorable haplotype Hap3 in BLOCK 2, with Hap2 haplotypes in BLOCK 1 and BLOCK3, resulting in a combination of Hap2 + Hap3 + Hap2. This variety achieved a seedling survival rate of 46.6% under low-temperature stress, exhibiting strong cold tolerance (Table 1 ). 3.6 Development of seedlings with enhanced cold tolerance Using the cold-sensitive indica rice variety Meixiangzhan 2 (Table 1 ) as the recurrent parent, 4 donor parents were selected from the 3K core collection: B046 (carrying the Hap1 + Hap3 + Hap2 haplotype combination, with Hap3 as the favorable haplotype; seedling survival rate under cold stress: 90.32%; rice type: Tej; Table S1), IRIS_313-11929 (Hap1 + Hap3 + Hap4, with Hap3 and Hap4 as favorable haplotypes; survival rate: 95.35%; rice type: TrjA; Table S1), IRIS_313–9771 (Hap4 + Hap3 + Hap2, with Hap4 and Hap3 as favorable haplotypes; survival rate: 86.32%; rice type: Tej; Table S1), and IRIS_313-12217 (Hap4 + Hap3 + Hap4, with Hap4, Hap3, and Hap4 as favorable haplotypes; survival rate: 87.23%; rice type: Tej; Table S1). Through a stepwise crossing strategy involving one cross, one backcross, and five generations of selfing, combined with marker-assisted selection, new cold-tolerant germplasm lines YR05, YR06, YR07, and YR08 were successfully developed (Fig. 6 A). Cold tolerance assessment at the seedling stage revealed that during the recovery growth phase after 7 days of cold stress, the seedling survival rates of YR05 to YR08 were significantly higher than those of the recurrent parent Meixiangzhan 2, demonstrating a 2.9- to 4.4-fold improvement in cold tolerance compared to Meixiangzhan 2. Furthermore, germplasm line YR08 (Hap4 + Hap3 + Hap4, carrying 3 favorable haplotypes) exhibited significantly higher seedling-stage cold tolerance than YR05 (Hap1 + Hap3 + Hap2, with Hap3 as the favorable haplotype) and YR06 (Hap1 + Hap3 + Hap4, with Hap3 and Hap4 as favorable haplotypes), and significantly higher tolerance than YR07 (Hap4 + Hap3 + Hap2, with Hap4 and Hap3 as favorable haplotypes). In contrast, no significant difference in seedling-stage cold tolerance was observed between YR06 and YR07 (Fig. 6 B-C). These findings further substantiate the pivotal role of the favorable haplotypes Hap4 in LD BLOCK1, Hap3 in LD BLOCK2, and Hap4 in LD BLOCK3 of the OsCTS11 , along with their combinations, in the development of novel germplasm exhibiting enhanced seedling-stage cold tolerance. Additionally, this research offers valuable germplasm resources for breeding cold-tolerant rice varieties. 4. Discussion 4.1 Genetic mechanisms and breeding value of LD BLOCK haplotype analysis In population genetics research, Linkage Disequilibrium Blocks (LD BLOCK) denote contiguous genomic regions where adjacent genetic markers exhibit significant linkage disequilibrium. The formation and evolutionary mechanisms of these BLOCKs offer valuable insights into genomic evolution (Wu et al. 2022 ). The structural features of LD BLOCKs are influenced by multiple evolutionary forces: firstly, recombination hotspots maintain haplotype integrity by suppressing crossover recombination within the region (Abecasis et al. 2012 ); secondly, the founder effect during population expansion can result in the high-frequency retention of specific haplotypes (Hamazaki and Iwata 2020 ); additionally, under positive selection pressure, the rapid spread of favorable haplotypes can produce distinct selection signals (Havrilla et al. 2019 ). These evolutionary processes lead to haplotype structures within LD BLOCKs exhibiting significant population genetic differentiation, providing molecular markers for tracking natural selection (Hamazaki and Iwata 2020 ; Sivabharathi et al. 2024 ). In molecular breeding, LD BLOCK analysis offers dual application value: one aspect involves utilizing tightly linked SNP loci within a BLOCK to develop high-density molecular markers, thus overcoming the temporal and spatial limitations of phenotypic assessment and enabling indirect selection for target traits (Della Coletta et al. 2023 ; Eltahawy et al. 2020 ; Liu et al. 2025 ; Liu et al. 2023 ); another aspect involves significant associations between specific LD BLOCK and phenotypes that furnish physical coordinates for gene mapping, thereby substantially improving the efficiency of screening for coding region missense mutations or regulatory element variations (Cao et al. 2025 ; Lee et al. 2025 ; Sivabharathi et al. 2024 ). Despite low-temperature stress being a critical abiotic factor limiting rice growth, prior studies have primarily concentrated on identifying cold tolerance genes and QTLs (Chaikam and Karlson 2008 ; Liu et al. 2013 ; Ma et al. 2015 ; Mao et al. 2019 ; Morino et al. 2016 ; SI et al. 2011 ; Wu et al. 2024 ; Xia et al. 2023 ; Z et al. 2023), with limited exploration into haplotype evolutionary patterns and molecular marker applications. This study, utilizing materials from the 3K Rice Genomic Diversity Panel, systematically analyzed genetic variations in coding and regulatory regions of the OsCTS11 gene. The findings revealed three characteristic LD BLOCKs (BLOCK1-3) in the regulatory region, where haplotype combinations within each BLOCK influence seedling-stage cold tolerance by regulating OsCTS11 expression levels (Fig. 1 B, Fig. 5 A-B). Notably, haplotype combinations containing favorable haplotypes Hap4 in LD BLOCK1, Hap3 in LD BLOCK2, and Hap4 in LD BLOCK3 (specifically, Hap1 + Hap3 + Hap2, Hap1 + Hap3 + Hap4, and Hap4 + Hap3 + Hap2) exhibited a markedly greater decrease in expression levels following cold stress. This indicates that this haplotype module enhances the low-temperature adaptation capacity of rice seedlings through a negative regulatory mechanism, offering a novel target system for marker-assisted cold tolerance breeding (Fig. 5 B, Table 2 ). Crucially, the strategy of mining favorable haplotype combinations based on LD BLOCKs of candidate genes has not been systematically reported. This study provides a new perspective for identifying favorable haplotypes in target genes for molecular breeding. 4.2 Haplotype module mining and molecular marker technology for enhancing cold tolerance breeding in rice Studies have demonstrated a negative correlation between the expression level of the OsCTS11 and cold tolerance phenotype, classifying OsCTS11 as a cold-sensitive gene. Employing the CRISPR/Cas9 system to edit the second exon of OsCTS11 in the Nipponbare (NIP) background resulted in 2 mutant lines, oscts11-1 and oscts11-2 , which exhibited significantly improved seedling survival rates compared to the wild-type NIP, suggesting that reduced expression of OsCTS11 enhances seedling-stage cold tolerance (Wu et al. 2024 ). Consequently, applications involving the OsCTS11 typically necessitate the development of gene-edited mutants or expression-suppressed lines. However, these materials are classified as genetically modified organisms (GMOs), subject to stringent regulatory scrutiny regarding biosafety, which limits their broader application. Recent studies have identified several negative regulatory genes or transcription factors associated with seedling-stage cold tolerance in rice. For example, the HAN1 gene acts as a negative regulator of cold tolerance and is involved in regulating jasmonate (JA)-mediated cold responses, plants overexpressing HAN1 exhibit wilting during the seedling stage, while knockout enhances cold tolerance (Mao et al. 2019 ). The COLD6 and OSM1 proteins form a complex that senses cold and triggers the production of 2',3'-cyclic adenosine monophosphate (2',3'-cAMP), thus enhancing rice cold tolerance. Notably, COLD6 negatively regulates cold tolerance, and its knockout results in increased tolerance (Luo et al. 2024 ). Therefore, there is a pressing need for novel molecular marker development strategies to enable the application of negative regulatory genes or transcription factors in breeding through non-transgenic methods. With the rapid advancement of molecular biology and genomics technologies in recent years, whole-genome resequencing has facilitated the identification of favorable haplotypes associated with cold tolerance genes (Li et al. 2022 ; Shi et al. 2024 ; Wang et al. 2018 ; Yang et al. 2020 ). This study integrated whole-genome resequencing data with LD analysis, examining resequencing data from 529 rice accessions within the 3K Rice Genomic Diversity Panel. LD analysis was conducted on the CDS region of OsCTS11 and its flanking regulatory regions, identifying 3 key LD BLOCKs (LD BLOCK1-3) in the regulatory region of OsCTS11 . Favorable haplotypes, Hap4 (in LD BLOCK1), Hap3 (in LD BLOCK2), and Hap4 (in LD BLOCK3), were subsequently identified within these BLOCKs (Fig. 1 A-B-C2-D2-E2). The results indicated that accessions carrying these haplotypes exhibited significantly improved seedling survival rates under cold stress (ranging from 51.48–65.38%) (Fig. 1C2-D2-E2). Moreover, favorable haplotypes from different LD BLOCKs (LD BLOCK1-3) showed a significant additive effect. The novel germplasm line YR08, carrying the Hap4 (BLOCK1) + Hap3 (BLOCK2) + Hap4 (BLOCK3) combination, demonstrated superior seedling survival rates compared to lines with single or double haplotype combinations, indicating that genetic variations in different regulatory regions synergistically enhance cold tolerance (Fig. 6 B-C). By mining haplotypes from natural variations, this study provides novel genetic resources for rice cold tolerance breeding. Additionally, favorable haplotypes identified within the regulatory region were utilized to develop KASP molecular markers, aimed at accelerating the creation of novel cold-tolerant germplasm. This strategy offers a new direction for applying negative regulatory genes or transcription factors in breeding. 4.3 Application of molecular marker-mssisted selection in rice cold tolerance breeding and strategy optimization Cold tolerance, a quantitative trait regulated by multiple genes, has traditionally relied on phenotypic selection in breeding, which is inefficient and susceptible to environmental noise (Lv et al. 2016 ; Sandhu et al. 2022 ; VC and botany. 2003). Integrating targeted QTL or genes with molecular marker-assisted selection (MAS), alongside hybridization, backcrossing, and selfing between parents, allows for the rapid introgression of favorable alleles/QTL into elite varieties, thereby shortening breeding cycles and reducing costs(Y et al. 2025; Yang et al. 2023 ; Yu et al. 2025a ). MAS has already been successfully applied in developing parental lines with enhanced cold tolerance in rice (Li et al. 2025 ; Y et al. 2025; Yang et al. 2023 ; Yu et al. 2025a ). This study developed KASP markers based on 12 SNPs within LD BLOCKs, effectively avoiding haplotype misclassification due to genotyping errors in single SNPs, achieving a 100% genotyping accuracy rate and overcoming the limitations of insufficient precision in traditional QTL mapping (Fig. 3 , Fig. 4 ). Through marker-assisted backcrossing, favorable haplotypes or their combinations from LD BLOCK1, BLOCK2 and BLOCK3 of the OsCTS11 were introgressed into the widely cultivated indica variety Meixiangzhan 2, successfully creating four novel cold-tolerant germplasms: YR05 (Hap1 + Hap3 + Hap2, with Hap3 as the favorable haplotype), YR06 (Hap1 + Hap3 + Hap4, with Hap3 + Hap4 as favorable haplotypes), YR07 (Hap4 + Hap3 + Hap2, with Hap4 + Hap3 as favorable haplotypes), and YR08 (Hap4 + Hap3 + Hap4, all dominant haplotypes). This effectively addressed the deficiency of Meixiangzhan 2's sensitivity to low temperatures during the seedling stage (Fig. 6 A). Comparing seedling survival rates under cold stress among these novel germplasms revealed that YR08, carrying all three favorable haplotypes, exhibited significantly enhanced cold tolerance at the seedling stage compared to YR05 and YR06, and demonstrated higher tolerance than YR07, with no significant difference observed between YR06 and YR07 (Fig. 6 C). qRT-PCR analysis of OsCTS11 expression across 10 haplotype combinations validated this trend (Table 2 , Fig. 5 B). Combinations including favorable haplotypes LD BLOCK1 (Hap4), LD BLOCK2 (Hap3), and LD BLOCK3 (Hap4) (i.e., Hap1 + Hap3 + Hap2, Hap1 + Hap3 + Hap4, Hap4 + Hap3 + Hap2) showed a greater reduction in gene expression levels (28.1-64.4-fold), whereas the other 7 combinations lacking favorable haplotypes exhibited a decrease ranging from 3.4- to 8.2-fold (Table 2 , Fig. 5 B). Further validation of marker accuracy was achieved through genotype, phenotype, and transcriptome-level analyses. This study successfully developed novel cold-tolerant germplasms YR05, YR06, YR07, and YR08 by employing a stepwise hybridization strategy (one cross + one backcross + five generations of selfing) combined with MAS, effectively addressing the challenges of long breeding cycles and low efficiency associated with traditional phenotypic selection methods. 4.4 Future Directions Rice cold tolerance is a quantitative trait regulated by multiple genes, influenced by a complex interplay of genetic factors, field microclimate, and soil physicochemical properties (Andaya and Mackill 2003 ; Li et al. 2025 ; Lv et al. 2016 ). Future research should focus on systematically monitoring the dynamic performance of seedling-stage cold tolerance in YR05, YR06, YR07, and YR08 under varying field microclimatic and soil physicochemical conditions. Molecular mechanism studies should aim to elucidate the synergistic regulatory effects of OsCTS11 with other cold tolerance genes, such as OsGSTZ2 (SI et al. 2011 ), LTT7 (Liu et al. 2013 ), COLD1 (Ma et al. 2015 ), HAN1 (Mao et al. 2019 ), OsCSP1 and OsCSP2 (Chaikam and Karlson 2008 ; Morino et al. 2016 ), COLD11 (Wu et al. 2024 ; Z et al. 2023), and COG1 (Xia et al. 2023 ). A comprehensive evaluation of the developed germplasm from phenomics and molecular biology perspectives is required to determine its application potential.Furthermore, despite the identification of several rice seedling-stage cold tolerance genes, including LTT7 (Liu et al. 2013 ), COLD1 (Ma et al. 2015 ), and HAN1 (Mao et al. 2019 ), their practical application in breeding remains limited. This limitation may be due to insufficient precision in molecular marker localization or pronounced genotype-by-environment interaction effects. Therefore, it is essential to deeply mine favorable haplotypes from cloned cold tolerance genes and assess their breeding value while employing multi-gene pyramiding strategies to construct a germplasm resource pool with broad adaptability for cold tolerance. 5. Summary This study utilized the 3K Rice Core Collection to systematically characterize the natural variation of the OsCTS11 , encompassing its coding region and upstream/downstream regulatory sequences through genetic variation and LD analysis. Using an LD BLOCK analysis strategy, favorable haplotypes of the OsCTS11 were identified for the first time. This led to the development of a high-throughput KASP marker system targeting 3 LD BLOCK-specific favorable SNPs, allowing for rapid germplasm identification and targeted improvement. Consequently, novel indica rice germplasm lines YR05, YR06, YR07, and YR08 with significantly enhanced seedling-stage cold tolerance were created. This research offers precise and efficient molecular markers for rice cold tolerance breeding and introduces a new strategy for marker development, facilitating the use of negative regulatory genes or transcription factors in breeding through non-transgenic methods. Future plans include investigating synergistic regulatory effects between OsCTS11 and other cold tolerance genes such as OsGSTZ2 , LTT7, COLD1, HAN1, OsCSP1, OsCSP2, COLD11 , and COG1 , alongside conducting in-depth assessments of the breeding value of the cold-tolerant germplasm lines YR05, YR06, YR07, and YR08. These efforts aim to provide theoretical and technical support for the molecular design breeding of cold-tolerant rice varieties. Declarations Authorship contribution statement Jianghui Yu performed major experiments and write the manuscript, Shaoran Suo, Huang Zhou, Yunpeng Peng, Zhijun Wang, Huan Cao, Zhijun Wang, Yongkang Liu, Xiwen Shi, Dingyang Yuan, Ling Liu, Cheng Zheng performed the research study. Meijuan Duan and Jianghui Yu conceived and supervised the study, funding acquisition, and revised the manuscript. All authors approved the final version of the manuscript. Declaration of competing interest The author declares no competing interests. Acknowledgments This work was supported by grants from the major projects in agricultural biological breeding(2022ZD04004) and science and technology innovation program of hunan province (2023NK1010) . References Abecasis GR, Auton A, Brooks LD, DePristo MA, Durbin RM, Handsaker RE, Kang HM, Marth GT, McVean GA (2012) An integrated map of genetic variation from 1,092 human genomes. Nature 491:56–65 Andaya VC, Mackill DJ (2003) Mapping of QTLs associated with cold tolerance during the vegetative stage in rice. J Exp Bot 54:2579–2585 Barrett JC, Fry B, Maller J, Daly MJ (2005) Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics 21:263–265 C H, biology AJJMim (2014) SNP genotyping: the KASP assay. 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BMC Plant Biol 24:649 Supplementary Files TableS1.xlsx Table S1. 529 core germplasm resources from the Core Germplasm of the 3K Resequencing Project. This table lists the ID numbers and taxonomic classification information for 529 core germplasm, along with the haplotype annotations for 429 of these germplasm following filtration. Additionally, the table provides experimental data including seedling survival rates after a 7-day treatment at a constant temperature of 6°C followed by 10 days of recovery growth. It also includes haplotypes corresponding to each accession for LD BLOCKS 1-3, which consist of the coding region of the OsCTS11 and its upstream and downstream regulatory sequences. TableS2.xlsx Table S2. 3024 germplasm resources from 3K resequencing data. This table lists the ID numbers, taxonomic classifications, and geographical information for 3024 germplasm, along with their haplotype annotations after filtration. The haplotypes for each accession correspond to LD BLOCKS 1-3, which comprise the coding region of the OsCTS11 and its upstream and downstream regulatory sequences. Based on the haplotype analysis results, haplotypes are annotated for 2277 germplasm in LD BLOCK1, 2322 germplasm in LD BLOCK2, and 2300 germplasm in LD BLOCK3. TableS3.xlsx Table S3. KASP markers for SNP sites of OsCTS11 haplotypes and RT-PCR primer sequences. This table presents the primer sequences for KASP markers of SNP sites within the OsCTS11 gene. For LD BLOCK1, it includes five SNP sites: CTS11-824-KASP, CTS11-868-KASP, CTS11-167-KASP, CTS11-106-KASP, and CTS11-054-KASP. LD BLOCK2 contains three SNP sites: CTS11-461-KASP, CTS11-565-KASP, and CTS11-696-KASP. LD BLOCK3 has four SNP sites: CTS11-710-KASP, CTS11-747-KASP, CTS11-774-KASP, and CTS11-785-KASP. Additionally, the table lists the primer sequences used for RT-PCR detection, namely CTS11F/CTS11R and Actin67F/Actin67R. Cite Share Download PDF Status: Published Journal Publication published 01 Dec, 2025 Read the published version in Theoretical and Applied Genetics → Version 1 posted Reviewers agreed at journal 08 Sep, 2025 Reviewers invited by journal 08 Sep, 2025 Editor assigned by journal 12 Aug, 2025 First submitted to journal 09 Aug, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7329320","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":511795022,"identity":"581004b5-30b8-4e53-99df-b94adc18af53","order_by":0,"name":"Jianghui Yu","email":"","orcid":"","institution":"Hunan Agricultural University","correspondingAuthor":false,"prefix":"","firstName":"Jianghui","middleName":"","lastName":"Yu","suffix":""},{"id":511795023,"identity":"84f4848c-8a24-4844-88da-e87e48a028d5","order_by":1,"name":"Shaoran Suo","email":"","orcid":"","institution":"Hunan Agricultural University","correspondingAuthor":false,"prefix":"","firstName":"Shaoran","middleName":"","lastName":"Suo","suffix":""},{"id":511795024,"identity":"54f35930-59a5-4b6f-86fc-e1fd6931f2ed","order_by":2,"name":"Huang Zhou","email":"","orcid":"","institution":"Hunan Agricultural University","correspondingAuthor":false,"prefix":"","firstName":"Huang","middleName":"","lastName":"Zhou","suffix":""},{"id":511795025,"identity":"c3072a04-16bc-48ac-aa48-0d5f726ef6c8","order_by":3,"name":"Yunpeng Peng","email":"","orcid":"","institution":"Yuelu Shan laboratory","correspondingAuthor":false,"prefix":"","firstName":"Yunpeng","middleName":"","lastName":"Peng","suffix":""},{"id":511795026,"identity":"c8d4f166-b1b1-4688-b6ee-4754ff6805a9","order_by":4,"name":"Zhijun Wang","email":"","orcid":"","institution":"Hunan Agricultural University","correspondingAuthor":false,"prefix":"","firstName":"Zhijun","middleName":"","lastName":"Wang","suffix":""},{"id":511795027,"identity":"59ce26de-80ff-4116-be51-56a0ad7b02db","order_by":5,"name":"Huan Cao","email":"","orcid":"","institution":"Hunan Agricultural University","correspondingAuthor":false,"prefix":"","firstName":"Huan","middleName":"","lastName":"Cao","suffix":""},{"id":511795028,"identity":"71a8f448-a9f7-49b8-81d7-8c36674ba383","order_by":6,"name":"Yongkang Liu","email":"","orcid":"","institution":"Hunan Agricultural University","correspondingAuthor":false,"prefix":"","firstName":"Yongkang","middleName":"","lastName":"Liu","suffix":""},{"id":511795029,"identity":"22077992-22da-4326-9e71-abcc69c65ba4","order_by":7,"name":"Xiwen Shi","email":"","orcid":"","institution":"Hunan Agricultural University","correspondingAuthor":false,"prefix":"","firstName":"Xiwen","middleName":"","lastName":"Shi","suffix":""},{"id":511795030,"identity":"1bc54cb2-7986-4f2e-b938-cbf4c40fdcf3","order_by":8,"name":"Ling Liu","email":"","orcid":"","institution":"Hunan Agricultural University","correspondingAuthor":false,"prefix":"","firstName":"Ling","middleName":"","lastName":"Liu","suffix":""},{"id":511795031,"identity":"1f40993d-d7d2-4971-a8ce-b6e05a4089e9","order_by":9,"name":"Dingyang Yuan","email":"","orcid":"","institution":"Hunan Hybrid rice research Center","correspondingAuthor":false,"prefix":"","firstName":"Dingyang","middleName":"","lastName":"Yuan","suffix":""},{"id":511795032,"identity":"ccb16c95-d86d-47b7-985b-0f8cd2d32fcd","order_by":10,"name":"Cheng Zheng","email":"","orcid":"","institution":"Hunan Agricultural University","correspondingAuthor":false,"prefix":"","firstName":"Cheng","middleName":"","lastName":"Zheng","suffix":""},{"id":511795033,"identity":"de7e2bdf-08dc-4d15-884a-135f85d596cb","order_by":11,"name":"Meijuan Duan","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA1UlEQVRIiWNgGAWjYDCCA2BSghlIMD5IqKghTQuzwYMzx4jWAgZskg9bmAnr4LuR/OzRjQoLdoPjZ49VJDawMfC3dyfg1SJ5I83cOOeMBLPBmby0G4k7ZBgkzpzdgFeLwY0EM+ncNqCWAzlmNxLPsDEYSOQS0pL+TTr3H1DL+TdmBYltzMRoyQHa0gDUAmQwEKVF8sybMumcYxLMkjfeGEsknDnGQ9AvfMfTt0nn1NQl853PMfz4o6JGjr+9F78WGEiGMXiIUg4CdkSrHAWjYBSMgpEHAIcISKoIbePoAAAAAElFTkSuQmCC","orcid":"https://orcid.org/0000-0003-0325-9205","institution":"Hunan Agricultural University","correspondingAuthor":true,"prefix":"","firstName":"Meijuan","middleName":"","lastName":"Duan","suffix":""}],"badges":[],"createdAt":"2025-08-08 17:17:32","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7329320/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7329320/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s00122-025-05071-y","type":"published","date":"2025-12-01T15:57:11+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":91318679,"identity":"f4855f7c-e655-4f3c-ab91-0db504dd9dd5","added_by":"auto","created_at":"2025-09-15 08:43:07","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":742115,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eAnalysis of favorable haplotypes in three LD blocks of the \u003c/strong\u003e\u003cem\u003e\u003cstrong\u003eOsCTS11\u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003e gene. \u003c/strong\u003e(A)shows the distribution of 14 distinct SNP loci within the \u003cem\u003eOsCTS11\u003c/em\u003e gene region, including one SNP in the intron region, ten SNPs in the upstream regulatory region, and three SNPs in the downstream regulatory region. (B) presents a linkage disequilibrium (LD) heatmap based on D' values and identifies three LD blocks. The depth of color correlates positively with the strength of linkage. LD BLOCK1 is composed of downstream regulatory SNPs Chr11-24225824 (SNP340918381), Chr11-24225868 (SNP340918425), Chr11-24226167 (SNP340918724), and upstream regulatory SNPs Chr11-24228106 (SNP340920663) and Chr11-24229054 (SNP340921611). LD BLOCK2 consists of upstream regulatory SNPs Chr11-24229461 (SNP340922018), Chr11-24229565 (SNP340922122), and Chr11-24229696 (SNP340922253). Meanwhile, LD BLOCK3 is formed by upstream regulatory SNPs Chr11-24229710 (SNP340922267), Chr11-24229747 (SNP340922304), Chr11-24229774 (SNP340922331), and Chr11-24229785 (SNP340922342). (C1, D1, and E1) illustrate the distribution ratios of the four haplotypes formed by these LD blocks across subspecies such as indica and japonica rice. (C2, D2, and E2) provide the results of a one-way ANOVA, demonstrating the survival rate differences of seedlings under cold stress during the seedling stage among materials with different haplotypes. Capitals indicate extremely significant inter-group differences (\u003cem\u003eP\u003c/em\u003e\u0026lt;0.01), while lowercase letters denote significant differences (\u003cem\u003eP\u003c/em\u003e\u0026lt;0.05); the same notation applies hereafter.\u003c/p\u003e","description":"","filename":"Fig1.png","url":"https://assets-eu.researchsquare.com/files/rs-7329320/v1/51a1251b2a87ec7d389f5289.png"},{"id":91318678,"identity":"2ca9a80c-9a2f-468f-af1b-13b56ad6f013","added_by":"auto","created_at":"2025-09-15 08:43:07","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":496008,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eGeographic distribution characteristics of \u003c/strong\u003e\u003cem\u003e\u003cstrong\u003eOsCTS11\u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003ehaplotypes in 3K germplasm. \u003c/strong\u003e(A1, B1, and C1) illustrate the frequency distribution of the four haplotypes within LD BLOCK1, LD BLOCK2, and LD BLOCK3 in the 3K germplasm collection, respectively. (A2, B2, and C2) use haplotype-subspecies association analysis to reveal the proportions of indica (Indica I-III), japonica (TEJ/TRJ), and ecotypes (Aus/Aro) present in each haplotype. (A3, B3, and C3) display global distribution maps of the haplotypes based on geographical coordinates, where the size of the dot positively correlates with the number of germplasms.\u003c/p\u003e","description":"","filename":"Fig2.png","url":"https://assets-eu.researchsquare.com/files/rs-7329320/v1/b69483eb766d478feefe99c4.png"},{"id":91320485,"identity":"69e8a215-db6c-4c80-b17a-ee43e20dcec0","added_by":"auto","created_at":"2025-09-15 09:07:07","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":1907643,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eDevelopment of molecular markers for haplotype-specific SNP loci in the \u003c/strong\u003e\u003cem\u003e\u003cstrong\u003eOsCTS11\u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003e gene. \u003c/strong\u003e(A1) illustrates the design of KASP primers for CTS11-824-KASP targeting the SNP340918381 locus. (A2) shows the KASP primer design for CTS11-868-KASP at the SNP340918425 locus. (A3) presents the primer design for CTS11-167-KASP targeting the SNP340918724 locus. (A4) details the design for CTS11-106-KASP at the SNP340920663 locus. (A5) outlines the primer design for CTS11-054-KASP targeting the SNP340921611 locus. (B1) outlines the design of KASP primers for CTS11-461-KASP at the SNP340922018 locus. (B2) shows the primer design for CTS11-565-KASP targeting the SNP340922122 locus. (B3) highlights the primer design for CTS11-696-KASP at the SNP340922253 locus. (C1) demonstrates the design of KASP primers for CTS11-710-KASP at the SNP340922267 locus. (C2) outlining the primer design for CTS11-747-KASP targeting the SNP340922304 locus. (C3) provides the design for CTS11-774-KASP at the SNP340922331 locus. (C4) concludes with the primer design for CTS11-785-KASP at the SNP340922342 locus.\u003c/p\u003e","description":"","filename":"Fig3.png","url":"https://assets-eu.researchsquare.com/files/rs-7329320/v1/d23eaf2784833d012795b35b.png"},{"id":91318684,"identity":"ff3ccd78-908e-4414-aa6b-edb8874d00c3","added_by":"auto","created_at":"2025-09-15 08:43:07","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":572682,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eKASP molecular analysis of haplotype-specific SNP loci in the\u003c/strong\u003e\u003cem\u003e\u003cstrong\u003e OsCTS11\u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003e gene. \u003c/strong\u003e(A1) shows the CTS11-824-KASP assay results: 824FAM corresponds to the GG genotype allele marked with FAM orange fluorescent dye, 824HEX corresponds to the AA genotype allele marked with HEX blue fluorescent dye, and green indicates the GA heterozygous genotype. (A2) presents the CTS11-868-KASP assay results: 868FAM for the CC genotype allele, 868HEX for the GG genotype allele, with green indicating the CG heterozygous genotype. (A3) details the CTS11-167-KASP assay outcomes: 167FAM for the AA genotype allele, 167HEX for the GG genotype allele, and green represents the AG heterozygous genotype. (A4) illustrates the CTS11-106-KASP assay results: 106FAM for the CC genotype allele, 106HEX for the AA genotype allele, with green indicating the CA heterozygous genotype. (A5) shows the CTS11-054-KASP detection outcomes: 054FAM for the TT genotype allele, 054HEX for the AA genotype allele, and green denotes the TA heterozygous genotype. (B1) displays the CTS11-461-KASP assay results: 461FAM for the GG genotype allele, 461HEX for the AA genotype allele, with green indicating the GA heterozygous genotype. (B2) presents the CTS11-565-KASP assay results: 565FAM for the AA genotype allele, 565HEX for the GG genotype allele, with green indicating the AG heterozygous genotype. (B3) outlines the CTS11-696-KASP assay results: 696FAM for the AA genotype allele, 565HEX for the CC genotype allele, and green signifies the AC heterozygous genotype. (C1) exhibits the CTS11-710-KASP assay findings: 710FAM for the CC genotype allele, 710HEX for the TT genotype allele, with green representing the CT heterozygous genotype. (C2) shows the CTS11-747-KASP assay results: 747FAM for the GG genotype allele, 747HEX for the AA genotype allele, with green denoting the GA heterozygous genotype. (C3) presents the CTS11-774-KASP assay findings: 774FAM for the CC genotype allele, 774HEX for the TT genotype allele, with green denoting the CT heterozygous genotype. (C4) displays the CTS11-785-KASP assay results: 785FAM for the GG genotype allele, 785HEX for the AA genotype allele, with green indicating the GA heterozygous genotype.\u003c/p\u003e","description":"","filename":"Fig4.png","url":"https://assets-eu.researchsquare.com/files/rs-7329320/v1/16537746194dccb9bc698176.png"},{"id":91320062,"identity":"38ce839c-6ff5-46a8-857a-92799aad29e1","added_by":"auto","created_at":"2025-09-15 08:59:07","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":153033,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eExpression analysis of the \u003c/strong\u003e\u003cem\u003e\u003cstrong\u003eOsCTS11\u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003e gene in different materials. \u003c/strong\u003e(A) illustrates the significant differences in the expression levels of the\u003cem\u003eOsCTS11\u003c/em\u003e gene in cold-sensitive germplasm IRIS_313-10275 and cold-tolerant germplasm IRIS_313-11725 during cold stress at day 0 (CTSS 0 d) and day 7 (CTSS 7 d), analyzed through transcriptomic analysis. (B) presents the significant differences in expression levels of the \u003cem\u003eOsCTS11\u003c/em\u003e gene among ten haplotype combinations from LD Block1 to LD Block3 (each comprising eight germplasms) under room temperature at the seedling stage (CTSS 0 d) and after a 7-day low-temperature treatment (CTSS 7 d).\u003c/p\u003e","description":"","filename":"Fig5.png","url":"https://assets-eu.researchsquare.com/files/rs-7329320/v1/f900655ce51cf61c6b520b5d.png"},{"id":91318686,"identity":"f98b7a12-1e6b-4cf9-b095-a29fe1b219ef","added_by":"auto","created_at":"2025-09-15 08:43:07","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":2626501,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eDevelopment of cold-tolerant germplasm resources at the seedling stage utilizing favorable haplotype molecular markers of the \u003c/strong\u003e\u003cem\u003e\u003cstrong\u003eOsCTS11\u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003e gene. \u003c/strong\u003e(A) outlines the strategy for developing new cold-tolerant germplasms YR05, YR06, YR07, and YR08. Meixiangzhan2 (cold-sensitive at the seedling stage) serves as the female parent, while various favorable haplotype combinations B046, IRIS_313-11929, IRIS_313-9771, and IRIS_313-12217 (cold-tolerant at the seedling stage) are utilized as male parents. Molecular markers are employed to detect and track favorable haplotype SNP loci. (B) illustrates the recovery and normal growth of Meixiangzhan2, YR05, YR06, YR07, and YR08 seedlings following a 7-day exposure to low-temperature stress at 6°C and a subsequent 10-day recovery period at room temperature. (C) presents the one-way ANOVA analysis results of seedling survival rates for Meixiangzhan2, YR05, YR06, YR07, and YR08.\u003c/p\u003e","description":"","filename":"Fig6.png","url":"https://assets-eu.researchsquare.com/files/rs-7329320/v1/b7a551d849cc88a790362391.png"},{"id":97723791,"identity":"b1bb843e-e7a5-4247-b129-9433b817a478","added_by":"auto","created_at":"2025-12-08 16:06:25","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":9294845,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7329320/v1/eee29184-9279-4dfb-8540-127b434a2d35.pdf"},{"id":91318992,"identity":"9bc40c8b-c05f-4dc2-9bee-6520a054efee","added_by":"auto","created_at":"2025-09-15 08:51:07","extension":"xlsx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":51183,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eTable S1. 529 core germplasm resources from the Core Germplasm of the 3K Resequencing Project.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis table lists the ID numbers and taxonomic classification information for 529 core germplasm, along with the haplotype annotations for 429 of these germplasm following filtration. Additionally, the table provides experimental data including seedling survival rates after a 7-day treatment at a constant temperature of 6°C followed by 10 days of recovery growth. It also includes haplotypes corresponding to each accession for LD BLOCKS 1-3, which consist of the coding region of the \u003cem\u003eOsCTS11\u003c/em\u003e and its upstream and downstream regulatory sequences.\u003c/p\u003e","description":"","filename":"TableS1.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-7329320/v1/f470b427a39ef0174125c3f7.xlsx"},{"id":91318692,"identity":"847b3c67-a1bf-4580-b479-eb8be9e733b1","added_by":"auto","created_at":"2025-09-15 08:43:08","extension":"xlsx","order_by":2,"title":"","display":"","copyAsset":false,"role":"supplement","size":187589,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eTable S2. 3024 germplasm resources from 3K resequencing data.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis table lists the ID numbers, taxonomic classifications, and geographical information for 3024 germplasm, along with their haplotype annotations after filtration. The haplotypes for each accession correspond to LD BLOCKS 1-3, which comprise the coding region of the \u003cem\u003eOsCTS11\u003c/em\u003e and its upstream and downstream regulatory sequences. Based on the haplotype analysis results, haplotypes are annotated for 2277 germplasm in LD BLOCK1, 2322 germplasm in LD BLOCK2, and 2300 germplasm in LD BLOCK3.\u003c/p\u003e","description":"","filename":"TableS2.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-7329320/v1/b169f9b40058e1a5f3751e6b.xlsx"},{"id":91318685,"identity":"722bc8b3-f2cf-4920-8e86-2075b81a4f6c","added_by":"auto","created_at":"2025-09-15 08:43:07","extension":"xlsx","order_by":3,"title":"","display":"","copyAsset":false,"role":"supplement","size":11815,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eTable S3. KASP markers for SNP sites of \u003c/strong\u003e\u003cem\u003e\u003cstrong\u003eOsCTS11\u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003e haplotypes and RT-PCR primer sequences.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis table presents the primer sequences for KASP markers of SNP sites within the \u003cem\u003eOsCTS11\u003c/em\u003egene. For LD BLOCK1, it includes five SNP sites: CTS11-824-KASP, CTS11-868-KASP, CTS11-167-KASP, CTS11-106-KASP, and CTS11-054-KASP. LD BLOCK2 contains three SNP sites: CTS11-461-KASP, CTS11-565-KASP, and CTS11-696-KASP. LD BLOCK3 has four SNP sites: CTS11-710-KASP, CTS11-747-KASP, CTS11-774-KASP, and CTS11-785-KASP. Additionally, the table lists the primer sequences used for RT-PCR detection, namely CTS11F/CTS11R and Actin67F/Actin67R.\u003c/p\u003e","description":"","filename":"TableS3.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-7329320/v1/d40a21a12a800f89a693a1e3.xlsx"}],"financialInterests":"","formattedTitle":"Haplotype analysis and molecular marker development for the cold tolerance gene OsCTS11 at the seedling stage of rice","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eRice (\u003cem\u003eOryza sativa\u003c/em\u003e L.), a vital staple food crop worldwide, originates from tropical and subtropical regions and displays significant sensitivity to low-temperature environments common in temperate zones. Low temperatures during the early seedling stage and reproductive phase can severely impact rice growth and development, potentially causing yield losses of up to 30\u0026ndash;40% (Andaya and Mackill \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2003\u003c/span\u003e; Li et al. \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Shahzad et al. \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Shi et al. \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Song et al. \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e2025\u003c/span\u003e). Studies have shown that cold stress at the seedling stage disrupts photosynthesis by impairing chloroplast structure and function, reducing chlorophyll content, and increasing membrane lipid peroxidation along with the accumulation of reactive oxygen species (ROS). Additionally, cold stress affects antioxidant enzyme activity, energy metabolism, and hormonal balance, thereby intensifying physiological damage(Nawaz et al. \u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Shi et al. \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e2016\u003c/span\u003e; Xiang et al. \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e2025\u003c/span\u003e). In China, key rice-growing areas such as the middle and lower reaches of the Yangtze River (for early-season rice), the Northeast and Northwest regions, the Sichuan double-cropping early rice area, and the single-cropping rice regions on the Yunnan-Guizhou Plateau frequently experience low-temperature damage. \"Late spring cold snaps\" in southern China often result in severe issues like seedling rot and death in early rice. Furthermore, advancing seedling raising periods in some regions increases the likelihood of early-season rice encountering low-temperature stress during this critical stage(Yu et al. \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2025a\u003c/span\u003e; Zhang et al. \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e2017\u003c/span\u003e). Thus, breeding and cultivating rice varieties with enhanced cold tolerance is considered one of the most economically feasible and effective approaches to mitigate these issues, playing a crucial role in ensuring food security (Li et al. \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2022\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eIn recent years, the study of rice seedling-stage cold tolerance genes has made significant strides thanks to advances in molecular biology and genomics technologies. Over 250 quantitative trait loci (QTLs) associated with cold tolerance have been identified, with approximately 90 specifically mapped during the seedling stage. Japonica rice varieties, typically grown at higher latitudes and altitudes, generally demonstrate superior cold tolerance compared to indica varieties. Consequently, most identified QTLs derive from japonica germplasm, though some have been sourced from indica and a few from wild rice accessions (Jo et al. \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Li et al. \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Zhou et al. \u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Despite these advancements, only a limited number of genes related to seedling-stage cold tolerance have been successfully cloned and functionally validated. Notable examples include \u003cem\u003eOsGSTZ2\u003c/em\u003e (SI et al. \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2011\u003c/span\u003e), \u003cem\u003eLTT7\u003c/em\u003e (Liu et al. \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2013\u003c/span\u003e), \u003cem\u003eCOLD1\u003c/em\u003e(Ma et al. \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2015\u003c/span\u003e), \u003cem\u003eHAN1\u003c/em\u003e (Mao et al. \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2019\u003c/span\u003e), \u003cem\u003eOsCSP1\u003c/em\u003e and \u003cem\u003eOsCSP2\u003c/em\u003e (Chaikam and Karlson \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2008\u003c/span\u003e; Morino et al. \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2016\u003c/span\u003e), \u003cem\u003eCOLD11\u003c/em\u003e (Wu et al. \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Z et al. 2023), \u003cem\u003eCOG1\u003c/em\u003e (Xia et al. \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2023\u003c/span\u003e) and \u003cem\u003eOsCTS11\u003c/em\u003e (Wu et al. \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). These genes employ various mechanisms to confer cold tolerance. \u003cem\u003eOsGSTZ2\u003c/em\u003e, a major QTL candidate, features two single nucleotide polymorphisms (SNPs) between different varieties that lead to amino acid changes impacting cold tolerance(SI et al. \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2011\u003c/span\u003e). \u003cem\u003eLTT7\u003c/em\u003e enhances cold tolerance by mediating the DREB/CBF pathway(Liu et al. \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2013\u003c/span\u003e). \u003cem\u003eCOLD1\u003c/em\u003e improves cold tolerance through regulation of G-protein signaling pathways, with reduced expression or absence rendering rice sensitive to low temperatures (Ma et al. \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2015\u003c/span\u003e). \u003cem\u003eHAN1\u003c/em\u003e acts as a negative regulator by modulating jasmonic acid (JA)-mediated cold responses; overexpression leads to wilting under cold stress while knockout enhances tolerance (Mao et al. \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). \u003cem\u003eOsCSP1\u003c/em\u003e and \u003cem\u003eOsCSP2\u003c/em\u003e encode glycine-rich proteins with zinc finger domains, temporarily upregulated under cold stress (Chaikam and Karlson \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2008\u003c/span\u003e; Morino et al. \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2016\u003c/span\u003e). \u003cem\u003eCOLD11\u003c/em\u003e mutations affect cold tolerance; GCG repeat number in its first exon has been selected for during northward rice expansion, influencing DNA repair protein activity under cold stress (Wu et al. \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Z et al. 2023). \u003cem\u003eOsCTS11\u003c/em\u003e, encoding a stress-enhanced protein induced under cold conditions, localizes to chloroplasts and the nucleus, with knockouts showing improved tolerance (Wu et al. \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). \u003cem\u003eCOG1\u003c/em\u003e, a membrane-localized receptor-like protein, boosts japonica cold tolerance by activating OsSERK2 kinase upon cold induction, with mutant lines showing reduced tolerance (Xia et al. \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). While these discoveries offer valuable candidate genes for breeding cold-tolerant rice, practical application in breeding programs remains constrained by challenges such as insufficient precision in molecular marker localization and significant genotype-by-environment interaction effects.\u003c/p\u003e\u003cp\u003eTraditional breeding techniques continue to be the dominant approach for developing new rice varieties in China, relying heavily on breeders' accumulated experience over time. These methods are often slow and resource-intensive, focusing predominantly on key genes such as blast resistance (\u003cem\u003ePi2/Pi9\u003c/em\u003e), bacterial blight resistance (\u003cem\u003eXa23\u003c/em\u003e), and fragrance (\u003cem\u003ebadh2\u003c/em\u003e) while frequently overlooking genes beneficial for abiotic stress tolerance. This oversight leads to cultivars with reduced adaptability and a significant decline in genetic diversity concerning abiotic stress tolerance (Huang et al. \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Yu et al. \u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e2025b\u003c/span\u003e). Hence, developing effective molecular markers for seedling-stage low-temperature tolerance genes is vital for practical breeding applications. Previous research identified the \u003cem\u003eOsCTS11\u003c/em\u003e gene as a cold-related gene during the seedling stage using bulked segregant analysis (BSA) alongside transcriptome and expression analyses of a cold-tolerant japonica variety (NIP) and a cold-sensitive indica variety (WD16343). \u003cem\u003eOsCTS11\u003c/em\u003e is induced by cold stress, with expression significantly higher in WD16343 than in NIP. Mutant lines with edited genes exhibit enhanced cold tolerance, whereas overexpression lines show reduced tolerance, indicating that \u003cem\u003eOsCTS11\u003c/em\u003e functions as a cold-sensitive gene (Wu et al. \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Traditionally, applying \u003cem\u003eOsCTS11\u003c/em\u003e has involved generating gene-edited mutants or downregulated expression lines through transgenic methods. However, regulatory concerns over the safety of transgenic materials pose challenges for further application. This study advanced the use of the 3K Rice Genomes Project's 529 core germplasm resources and their resequencing data (Wang et al. \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e2018\u003c/span\u003e) to explore genetic variation in \u003cem\u003eOsCTS11\u003c/em\u003e concerning seedling-stage cold tolerance systematically. By subjecting these accessions to low-temperature stress during the seedling stage, and analyzing SNPs within the coding sequence and flanking regions of \u003cem\u003eOsCTS11\u003c/em\u003e, genetic variation and linkage disequilibrium (LD) analyses were conducted. This process discovered favorable haplotypes within three LD BLOCKs of \u003cem\u003eOsCTS11\u003c/em\u003e that significantly decrease its expression under cold stress, thereby enhancing cold tolerance. Molecular markers targeting these haplotypes were developed for efficient breeding of cold-tolerant seedlings. The markers were validated with 42 commercially available rice germplasms/hybrids, leading to the creation of four new cold-tolerant seedling-stage germplasm lines (YR05, YR06, YR07, and YR08). This study confirms the efficacy of these molecular markers in screening and creating breeding materials with improved seedling-stage cold tolerance, demonstrating the practical application of molecular breeding. Compared to traditional phenotypic screening, marker-assisted selection (MAS) offers notable advantages, including time savings, labor efficiency, cost-effectiveness, and increased breeding efficiency. The research provides a new perspective on utilizing negative regulatory genes or transcription factors for improving rice breeding practices.\u003c/p\u003e"},{"header":"2. Materials and methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\u003ch2\u003e2.1 Experimental materials\u003c/h2\u003e\u003cp\u003eIn this study, we leveraged a comprehensive collection of 529 core germplasm resources sourced from the 3K resequencing panel (Table S1), systematically categorized in accordance with the International Rice Research Institute (IRRI) classification system. Building upon previous research findings, the materials comprised: 154 japonica accessions, further subdivided into TrjA subgroup (comprising 65 accessions), TrjB subgroup (28 accessions), and Tej subgroup (61 accessions); 317 indica accessions, stratified into Indica I subgroup (55 accessions), Indica II subgroup (44 accessions), Indica III subgroup (117 accessions), and Indadx subgroup (101 accessions). Additionally, the collection included 40 accessions of the Aus rice ecotype, known for its unique characteristics, alongside 12 Aro rice accessions and 6 Adx rice accessions (Yu et al. \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2025a\u003c/span\u003e). Furthermore, the study incorporated 42 germplasm resources reflecting both indica and japonica varieties, alongside indica hybrid rice varieties currently deployed in agricultural production. This subset consisted of 13 conventional indica varieties, 18 conventional japonica varieties, and 11 indica hybrid varieties (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e), complemented by four newly developed germplasm lines, specifically YR05, YR06, YR07, and YR08.\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eMolecular detection and haplotype classification results for 42 production applications of indica, japonica germplasm, and hybrid indica rice varieties.\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"20\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c12\" colnum=\"12\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c13\" colnum=\"13\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c14\" colnum=\"14\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c15\" colnum=\"15\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c16\" colnum=\"16\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c17\" colnum=\"17\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c18\" colnum=\"18\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c19\" colnum=\"19\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c20\" colnum=\"20\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003eCultivar\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003eRice type\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"6\" nameend=\"c8\" namest=\"c3\"\u003e\u003cp\u003eCTS11 BLOCK1\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colspan=\"4\" nameend=\"c13\" namest=\"c10\"\u003e\u003cp\u003eCTS11 BLOCK2\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colspan=\"5\" nameend=\"c19\" namest=\"c15\"\u003e\u003cp\u003eCTS11 BLOCK3\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c20\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003eSeedling survival rate %\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eSNP1\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eSNP2\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003eSNP3\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSNP5\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u003cp\u003eSNP6\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e\u003cp\u003eSNP8\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c11\"\u003e\u003cp\u003eSNP9\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c12\"\u003e\u003cp\u003eSNP10\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c15\"\u003e\u003cp\u003eSNP11\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c16\"\u003e\u003cp\u003eSNP12\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c17\"\u003e\u003cp\u003eSNP13\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c18\"\u003e\u003cp\u003eSNP14\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eFengliangyou Xiang 1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eHybrid rice\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eAC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eAT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e0.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eYuanliangyou 968\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eHybrid rice\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eTT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eAG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e0.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003ePing liangyou Simiao\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eHybrid rice\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e0.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eGong liangyou Simiao\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eHybrid rice\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e0.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eZhenyou Jinggui Zhan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eHybrid rice\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e0.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eZhenyou Yuennong Simiao\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eHybrid rice\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e0.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eWufengyou 619\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eHybrid rice\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e0.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eXinliangyou jinggui Zhan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eHybrid rice\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e0.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eYuanyou jinggui Zhan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eHybrid rice\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e0.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eTaoyou Yuennong Simiao\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eHybrid rice\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e0.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eGongliangyou 892\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eHybrid rice\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e0.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eJinggui Zhan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIndica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e0.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eHua Zhan\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIndica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e0.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eR9311\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIndica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e0.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eMinghui 86\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIndica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eTT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e0.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eR8612\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIndica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eTT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e0.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eZhenhui 084\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIndica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eTT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e0.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eYuennong Simiao\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIndica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e0.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eShaoxiang 100\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIndica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e0.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eGuanghui 398\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIndica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eTT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e0.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eXiangzaoxian 45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIndica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eTT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e0.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eMeixiangzhan 2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIndica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eTT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e0.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eShuhui 527\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIndica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eTT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e0.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eR676\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eIndica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e69.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eYungeng 15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eJaponica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e4.9\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSuigeng 18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eJaponica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eTT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e13.7\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eNangeng 5055\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eJaponica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eTT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e1.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eJiahexiang 1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eJaponica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eTT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e9.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSongzaoxiang 1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eJaponica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eTT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e6.3\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSongxianggeng 1018\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eJaponica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eTT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e4.4\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eLongken 2021\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eJaponica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eTT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e9.6\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eNangengjinggu\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eJaponica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eTT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e15.9\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eNangeng 3908\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eJaponica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eTT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e8.4\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSidao 17\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eJaponica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eTT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e1.1\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eZhendao 28\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eJaponica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eTT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e0.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eHuaidao 5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eJaponica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eTT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e0.9\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eNangeng 9108\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eJaponica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eTT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e0.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSuxianggeng 100\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eJaponica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eTT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e18.6\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eJingeng 818\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eJaponica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eTT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eCT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e0.0\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eNingxianggeng 9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eJaponica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eTT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e13.1\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eNangeng 5718\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eJaponica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eTT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e46.6\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eDongdao 275\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eJaponica\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003eTT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003eAA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003eHap1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eCC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eGG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c20\"\u003e\u003cp\u003e18.9\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003ctfoot\u003e\u003ctr\u003e\u003ctd colspan=\"20\"\u003eThis table provides classification information for 42 rice germplasm used in production applications, comprising 13 indica, 18 japonica, and 11 hybrid indica rice varieties. Using molecular markers such as CTS11-824-KASP, CTS11-565-KASP, CTS11-785-KASP, among others (as listed in Supplementary Table S3), we assessed the genotype information at specific SNP loci and determined the haplotype classification results across three LD blocks. For LD BLOCK1, five SNP loci were identified: SNP1 corresponds to SNP340918381, SNP2 to SNP340918425, SNP3 to SNP340918724, SNP5 to SNP340920663, and SNP6 to SNP340921611. In LD BLOCK2, three SNP loci were examined: SNP8 corresponds to SNP340922018, SNP9 to SNP340922122, and SNP10 to SNP340922253. In LD BLOCK3, four SNP loci relationships are provided: SNP11 corresponds to SNP340922267, SNP12 to SNP340922304, SNP13 to SNP340922331, and SNP14 to SNP340922342, consistent with Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e. Seedling survival rates were assessed following an initial constant temperature treatment at 6℃ for seven days during the seedling stage, followed by a recovery growth period of ten days.\u003c/td\u003e\u003c/tr\u003e\u003c/tfoot\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec4\" class=\"Section2\"\u003e\u003ch2\u003e2.2 Experimental design\u003c/h2\u003e\u003cdiv id=\"Sec5\" class=\"Section3\"\u003e\u003ch2\u003e2.2.1 Cold treatment of tested materials at seedling stage\u003c/h2\u003e\u003cp\u003eThe experimental materials were subjected to a controlled thermal treatment at 45\u0026deg;C for a duration of 48 hours to effectively decrease moisture content and induce dormancy release. A set of 500 seeds from each material underwent surface sterilization utilizing a 1.5% (v/v) sodium hypochlorite solution for 20 minutes, followed by comprehensive rinsing with ultrapure water to ensure the removal of residual sterilant. Subsequent to sterilization, the seeds were immersed in water for a period of two days and then germinated in a constant temperature chamber maintained at 32\u0026deg;C for approximately 24 hours. Upon attaining a radicle length of around 5 mm, uniformly germinated seeds were planted into 96-well germination plates, with each experimental replicate comprising 32 seeds, and three replicates were conducted per material. Nutrient solution was applied to the plates, which were cultivated under ambient light conditions at 28\u0026deg;C for a fortnight. Subsequently, the seedlings were relocated to a phytotron, exposed to a constant temperature of 6\u0026deg;C for 7 days. Following this cold treatment, samples were returned to room temperature conditions (28\u0026deg;C) under normal photoperiod for a subsequent growth period of 10 days. Post-recovery, the survival count of seedlings was documented, and the percentage of successful seedling establishment was computed.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec6\" class=\"Section3\"\u003e\u003ch2\u003e2.2.2 Extraction of SNP information for the \u003cem\u003eOsCTS11\u003c/em\u003e gene\u003c/h2\u003e\u003cp\u003eThe sequence information for the \u003cem\u003eOsCTS11\u003c/em\u003e gene, identified as \u003cem\u003eLOC_Os11g40600\u003c/em\u003e, was obtained from the Rice Genome Annotation Project specific to the Nipponbare variety. The coding sequence (CDS) region of \u003cem\u003eOsCTS11\u003c/em\u003e resides on the positive strand, spanning nucleotide positions 24,226,246 to 24,227,813. Genomic single nucleotide polymorphism (SNP) data for the 3K rice panel, encompassing 3,024 accessions, was sourced from snp-seek.irri.org/_download.zul. Utilizing PLINK (v1.9) software, SNPs located within the CDS region of the \u003cem\u003eOsCTS11\u003c/em\u003e, including 2 kb upstream and 1 kb downstream (position range: 24,225,245 to 24,228,813 bp), were extracted and filtered for the 529 core accessions evaluated in this study. The filtration process involved excluding SNPs and samples with missing rates greater than 0.2, and SNPs with a minor allele frequency (MAF) below 0.05. Subsequent analysis of linkage disequilibrium (LD) and LD BLOCK was conducted using Haploview software (Barrett et al. \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2005\u003c/span\u003e; Slatkin \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e2008\u003c/span\u003e; Wu et al. \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). Following filtration, 429 germplasm accessions were classified into haplotypes as detailed in Table S1. Similarly, the full 3K rice panel accessions underwent identical SNP filtering criteria, resulting in the LD and haplotype analysis via Haploview. Post-filtering, 2,322 germplasm accessions were categorized into haplotypes (Table S2).\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec7\" class=\"Section3\"\u003e\u003ch2\u003e2.2.3 Haplotype analysis of SNP information for the \u003cem\u003eOsCTS11\u003c/em\u003e gene\u003c/h2\u003e\u003cp\u003eGenomic and phenotypic datasets were standardized using established bioinformatics tools including PLINK (v1.9), TASSEL5 (v5.2.81), and R (v4.2.1) (Yu et al. \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2025a\u003c/span\u003e). For the 429 core accessions from the 3K rice panel, haplotype resolution was conducted within LD BLOCK1, LD BLOCK2, and LD BLOCK3 situated in the \u003cem\u003eOsCTS11\u003c/em\u003e genomic interval (Chr11: 24,225,245\u0026thinsp;\u0026minus;\u0026thinsp;24,229,813). This analysis utilized the geneHapR package in R (Table S1) (Zhang et al. \u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). To explore haplotype-phenotype relationships, phenotypic data were integrated, followed by one-way ANOVA using IBM SPSS Statistics 27 to identify haplotypes demonstrating significant phenotypic variation (\u003cem\u003eP\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05). Visualization of haplotype distribution patterns across subspecies, including indica and japonica, was achieved through GraphPad Prism 9. Additionally, haplotype analysis for the full set of 3,024 accessions from the 3K rice panel was performed focusing on homologous segments analogous to LD BLOCK1, LD BLOCK2, and LD BLOCK3 of \u003cem\u003eOsCTS11\u003c/em\u003e. Geospatial visualizations of global haplotype distributions were constructed using R, with the objective of elucidating specific geographic population structures tied to distinct haplotypes. All statistical analyses incorporated Bonferroni correction for multiple comparisons, establishing a significance threshold at α\u0026thinsp;=\u0026thinsp;0.01 (Table S2).\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e\u003ch2\u003e2.3 Primer sequences for molecular markers targeting the beneficial haplotype of the \u003cem\u003eOsCTS11\u003c/em\u003e\u003c/h2\u003e\u003cp\u003eDNA was extracted from both the 3K panel resources and commercially utilized rice germplasm using the CTAB method. KASP (Kompetitive Allele Specific PCR) primers were meticulously designed using Primer5 software to target 12 SNP loci within the \u003cem\u003eOsCTS11\u003c/em\u003e gene (C et al. 2014; Yu et al. \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2025a\u003c/span\u003e). This included 12 pairs of molecular markers, such as CTS11-824-KASP, CTS11-868-KASP, and CTS11-106-KASP etc, each consisting of two allele-specific primers alongside a universal primer (Table S3). The first allele-specific primer was labeled with the FAM fluorophore at its 5\u0026prime; end (sequence: GAAGGTGACCAAGTTCATGCT). Following PCR amplification, products containing the FAM sequence exhibited a circular orange fluorescence under illumination, indicative of either wild-type homozygous or mutant homozygous genotypes. The second allele-specific primer was tagged with the HEX fluorophore at its 5\u0026prime; end (sequence: GAAGGTCGGAGTCAACGGATT). Post-amplification, products containing the HEX sequence displayed square blue fluorescence, signifying either mutant homozygous or wild-type homozygous genotypes. Heterozygous genotypes were represented by a triangular green fluorescence.\u003c/p\u003e\u003cp\u003ePCR amplification was performed in a 10 \u0026micro;L reaction volume comprising 5 \u0026micro;L PARMS 2X Master Mix (Wuhan, China), 0.15 \u0026micro;L of each 10 \u0026micro;mol\u0026middot;L\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e FAM and HEX primers, 0.4 \u0026micro;L C primer, 1 \u0026micro;L DNA at a concentration range of 10\u0026ndash;100 ng, and 3.3 \u0026micro;L ddH\u003csub\u003e2\u003c/sub\u003eO. Real-time fluorescent quantitative PCR amplification and fluorescence capture were executed using the CFX Real-Time System (Bio-Rad, USA). The thermal cycling protocol was structured as follows: initial denaturation at 94\u0026deg;C for 15 minutes, succeeded by a touchdown phase of 10 cycles, consisting of 94\u0026deg;C for 20 seconds and 65\u0026deg;C, decreasing by 0.8\u0026deg;C per cycle, for 1 minute. This was followed by an amplification phase comprising 30 cycles at 94\u0026deg;C for 20 seconds and 57\u0026deg;C for 1 minute. Finally, fluorescence signal acquisition took place at 37\u0026deg;C for 1 minute (Yu et al. \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2025a\u003c/span\u003e).\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec9\" class=\"Section2\"\u003e\u003ch2\u003e2.4 Transcriptional profiling and RT-qPCR expression analysis\u003c/h2\u003e\u003cp\u003eSeedling leaves were collected from the cold-sensitive germplasm IRIS_313-10275 and the cold-tolerant germplasm IRIS_313-11725, obtained from both control and cold stress treatment groups, where seedlings were incubated at a constant 6\u0026deg;C for 7 days in a growth chamber (Table S1). Transcriptome sequencing was contracted to Tsingke Biological Technology Co., Ltd. (Beijing, China). Utilizing the Nipponbare reference genome (Oryza_sativa.IRGSP-1.0.58), changes in the expression levels of the \u003cem\u003eOsCTS11\u003c/em\u003e before and after cold stress were analyzed using a t-test in IBM SPSS Statistics 27.\u003c/p\u003e\u003cp\u003eFor the 10 haplotype combinations within LD BLOCK1 to LD BLOCK3, eight accessions representing each combination were selected from the 429 core 3K rice germplasm resources, totaling 80 samples (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). RT-qPCR was utilized to analyze the expression of the \u003cem\u003eOsCTS11\u003c/em\u003e in seedling leaves from both control and cold-stressed groups of these 80 accessions. Total RNA was extracted using TRIzol\u0026trade; Reagent (Thermo Fisher Scientific, USA). Genomic DNA removal and reverse transcription were performed using a gDNA Eraser Kit (Vazyme, China). qPCR was subsequently conducted on a CFX Real-Time System (Bio-Rad, USA) with SYBR\u0026reg; Green Premix Ex Taq II (Takara, RR820A). \u003cem\u003eActin\u003c/em\u003e (\u003cem\u003eLOC_Os03g50885\u003c/em\u003e) served as the internal reference gene, and relative quantification was carried out using the 2\u003csup\u003e\u0026minus;ΔΔCt\u003c/sup\u003e method. All reactions included three biological replicates and no-template negative controls. The sequences of the RT-qPCR primers for \u003cem\u003eOsCTS11\u003c/em\u003e (CTS11F/CTS11R) and \u003cem\u003eActin\u003c/em\u003e (Actin67F/Actin67R) are provided in Table S4.\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eKASP genotyping results of SNP loci within LD BLOCKS 1\u0026ndash;3 of the \u003cem\u003eOsCTS11\u003c/em\u003e in 80 samples from the 3K Germplasm collection.\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"20\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c12\" colnum=\"12\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c13\" colnum=\"13\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c14\" colnum=\"14\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c15\" colnum=\"15\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c16\" colnum=\"16\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c17\" colnum=\"17\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c18\" colnum=\"18\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c19\" colnum=\"19\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c20\" colnum=\"20\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\" morerows=\"2\" rowspan=\"3\"\u003e\u003cp\u003eCultivar ID\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"16\" nameend=\"c17\" namest=\"c2\"\u003e\u003cp\u003eKASP genotyping results\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"3\" morerows=\"1\" nameend=\"c20\" namest=\"c18\" rowspan=\"2\"\u003e\u003cp\u003e3K haplotype\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003ctr\u003e\u003cth align=\"left\" colspan=\"5\" nameend=\"c6\" namest=\"c2\"\u003e\u003cp\u003eCTS11 BLOCK1\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colspan=\"3\" nameend=\"c10\" namest=\"c8\"\u003e\u003cp\u003eCTS11 BLOCK2\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"2\" nameend=\"c12\" namest=\"c11\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colspan=\"5\" nameend=\"c17\" namest=\"c13\"\u003e\u003cp\u003eCTS11 BLOCK3\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eSNP1\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eSNP2\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eSNP3\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003eSNP5\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003eSNP6\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u003cp\u003eSNP8\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e\u003cp\u003eSNP9\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eSNP10\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c14\"\u003e\u003cp\u003eSNP11\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c15\"\u003e\u003cp\u003eSNP12\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c16\"\u003e\u003cp\u003eSNP13\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c17\"\u003e\u003cp\u003eSNP14\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c18\"\u003e\u003cp\u003eCTS11 BLOCK1\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c19\"\u003e\u003cp\u003eCTS11 BLOCK2\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c20\"\u003e\u003cp\u003eCTS11 BLOCK3\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eB006\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1(GGA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap1(ACCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eB011\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1(GGA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap1(ACCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eB015\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1(GGA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap1(ACCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eB016\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1(GGA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap1(ACCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eB032\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1(GGA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap1(ACCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eB040\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1(GGA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap1(ACCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eB090\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1(GGA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap1(ACCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eB094\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1(GGA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap1(ACCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCX106\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1(GGA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap3(GCCA)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCX111\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1(GGA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap3(GCCA)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCX380\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1(GGA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap3(GCCA)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCX397\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1(GGA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap3(GCCA)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.10552\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1(GGA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap3(GCCA)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.10582\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1(GGA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap3(GCCA)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.10710\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1(GGA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap3(GCCA)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.10827\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap1(GGA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap3(GCCA)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCX150\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap1(ACCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCX364\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap1(ACCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.10609\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap1(ACCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.11266\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap1(ACCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.11491\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap1(ACCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.11648\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap1(ACCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.11722\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap1(ACCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.11747\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap1(ACCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eB049\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCX143\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCX160\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.10605\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.10875\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.10877\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.10878\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.10884\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eB046\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap3(GAA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eB167\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap3(GAA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eB183\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap3(GAA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eB263\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap3(GAA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.10570\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap3(GAA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.12061\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap3(GAA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eB018\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap3(GAA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap4(GTTG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.10829\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap3(GAA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap4(GTTG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.10832\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap3(GAA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap4(GTTG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.10866\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap3(GAA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap4(GTTG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.11077\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap3(GAA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap4(GTTG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.11155\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap3(GAA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap4(GTTG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.11495\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap3(GAA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap4(GTTG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.11617\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap3(GAA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap4(GTTG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCX158\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap4(AGA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap3(GCCA)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCX342\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap4(AGA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap3(GCCA)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCX64\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap4(AGA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap3(GCCA)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCX90\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap4(AGA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap3(GCCA)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.10050\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap4(AGA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap3(GCCA)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.10509\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap4(AGA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap3(GCCA)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.10518\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap4(AGA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap3(GCCA)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.10544\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap1(CGACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap4(AGA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap3(GCCA)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eB003\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap2(GCACT)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCX142\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap2(GCACT)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCX262\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap2(GCACT)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCX285\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap2(GCACT)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCX344\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap2(GCACT)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCX359\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap2(GCACT)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.10065\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap2(GCACT)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eIRIS_313.10080\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eT\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap2(GCACT)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eB027\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap3(CGGCA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap1(ACCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eB180\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap3(CGGCA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap1(ACCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCX120\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap3(CGGCA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap1(ACCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCX124\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap3(CGGCA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap1(ACCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCX226\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap3(CGGCA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap1(ACCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCX240\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap3(CGGCA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap1(ACCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCX303\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap3(CGGCA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap1(ACCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eCX305\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap3(CGGCA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap2(GGC)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap1(ACCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eB001\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap4(GCACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap3(GAA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eB004\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap4(GCACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap3(GAA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eB045\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap4(GCACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap3(GAA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eB103\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap4(GCACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap3(GAA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eB152\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap4(GCACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap3(GAA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eB160\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap4(GCACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap3(GAA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eB162\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap4(GCACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap3(GAA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eB182\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c11\" namest=\"c10\"\u003e\u003cp\u003eA\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c13\" namest=\"c12\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c16\"\u003e\u003cp\u003eC\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c17\"\u003e\u003cp\u003eG\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c18\"\u003e\u003cp\u003eHap4(GCACA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c19\"\u003e\u003cp\u003eHap3(GAA)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c20\"\u003e\u003cp\u003eHap2(GCCG)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003ctfoot\u003e\u003ctr\u003e\u003ctd colspan=\"20\"\u003eThis table presents the KASP genotyping results for 80 samples from the 3K germplasm, utilizing 12 molecular markers including CTS11-824-KASP, CTS11-565-KASP, and CTS11-785-KASP (as detailed in Table S3). Additionally, it displays the 3K haplotypes from the IRRI-SNP database. The correspondence of the 12 SNP loci within LD BLOCKS 1\u0026ndash;3 follows the same relationships as described in Table \u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e.\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd colspan=\"20\"\u003e\u003cb\u003eSupplementary Tables\u003c/b\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tfoot\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003c/div\u003e"},{"header":"3. Results and analysis","content":"\u003cdiv id=\"Sec11\" class=\"Section2\"\u003e\u003ch2\u003e3.1 Analysis of favorable haplotypes for the \u003cem\u003eOsCTS11\u003c/em\u003e\u003c/h2\u003e\u003cp\u003eUsing PLINK software, SNP screening was conducted on the coding sequence (CDS) of the \u003cem\u003eOsCTS11\u003c/em\u003e and its flanking regulatory regions (2 kb upstream and 1 kb downstream) in the filtered 429 core germplasm accessions from the 3K rice core collection. A total of 14 polymorphic SNPs loci were identified in introns and regulatory regions, comprising 1 SNP in an intron, 10 SNPs in the upstream regulatory region, and 3 SNPs in the downstream regulatory region (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eA).LDanalysis revealed that 3 SNPs in the downstream regulatory region (Chr11-24225824 (SNP340918381, C/G), Chr11-24225868 (SNP340918425, G/C), Chr11-24226167 (SNP340918724, A/G)) and 2 SNPs in the upstream regulatory region (Chr11-24228106 (SNP340920663, C/A), Chr11-24229054 (SNP340921611, A/T)) formed a significant LD BLOCK (LD BLOCK1) (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eB). The pairwise LD strength indicator D' values ranged from 0.86 to 1.00 between these SNPs, indicating strong linkage disequilibrium (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eB). Haplotype analysis demonstrated that these 5 SNPs could be categorized into 4 primary haplotypes. Hap1 (CGACA) was predominantly found in indica rice (67%), Hap2 (GCACT) was prevalent in japonica rice (54.3%), Hap3 (CGGAA) was predominant in indica rice (97.4%), and Hap4 (GCACA) was prevalent in japonica rice (97.1%) (Fig.\u0026nbsp;1C1). Following cold stress treatment, Hap4 exhibited the highest seedling survival rate (65.38%), significantly surpassing those of Hap1 (22.26%), Hap2 (36.07%), and Hap3 (16.19%) (Fig.\u0026nbsp;1C2). Consequently, Hap4 was identified as the favorable haplotype for seedling-stage cold tolerance within the LD BLOCK1 region of the \u003cem\u003eOsCTS11\u003c/em\u003e.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eThe SNPs located in the upstream regulatory region at Chr11-24229461 (SNP340922018, G/A), Chr11-24229565 (SNP340922122, G/A), and Chr11-24229696 (SNP340922253, A/C) formed a significant linkage disequilibrium LD BLOCK (LD BLOCK2) (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eB). Haplotype analysis demonstrated that these 3 SNPs could be classified into four primary haplotypes. Hap1 (GGA) was predominantly found in indica rice (74.3%), Hap2 (GGC) accounted for 48.8% in indica rice, Hap3 (GAA) was primarily present in japonica rice (96.6%), and Hap4 (AGA) was mainly observed in indica rice (92.7%) (Fig.\u0026nbsp;1D1). Under seedling-stage cold stress, Hap3 showed the highest seedling survival rate (58.41%), significantly exceeding those of Hap1 (22.38%), Hap2 (23.32%), and Hap4 (10.24%) (Fig.\u0026nbsp;1D2). Thus, Hap3 was identified as the favorable haplotype for seedling-stage cold tolerance within the LD BLOCK2 region of the \u003cem\u003eOsCTS11\u003c/em\u003e.\u003c/p\u003e\u003cp\u003eThe SNPs located in the upstream regulatory region at Chr11-24229710 (SNP340922267, A/G), Chr11-24229747 (SNP340922304, C/T), Chr11-24229774 (SNP340922331, C/T), and Chr11-24229785 (SNP340922342, G/A) constituted a significant linkage disequilibrium LD BLOCK (LD BLOCK3) (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eB). Haplotype analysis indicated that these 4 SNPs could be classified into four primary haplotypes. Hap1 (ACCG) was predominantly present in indica rice (85.7%), Hap2 (GCCG) was primarily found in japonica rice (56.1%), Hap3 (GCCA) was mainly observed in indica rice (59.4%), and Hap4 (GTTG) was largely distributed in japonica rice (95.2%) (Fig.\u0026nbsp;1E1). Regarding seedling survival rate, Hap4 demonstrated superior performance (51.48%), significantly surpassing those of Hap1 (19.02%) and Hap3 (22.64%), and exceeding that of Hap2 (39.92%) (Fig.\u0026nbsp;1E2). Consequently, Hap4 was identified as the favorable haplotype for seedling-stage cold tolerance within the LD BLOCK3 region of the \u003cem\u003eOsCTS11\u003c/em\u003e.\u003c/p\u003e\u003cp\u003eThe results above indicate that Hap4 within LD BLOCK1, Hap3 within LD BLOCK2, and Hap4 within LD BLOCK3 of the \u003cem\u003eOsCTS11\u003c/em\u003e are dominant haplotypes, predominantly present in japonica rice. These haplotypes represent significant genetic markers for molecular breeding initiatives aimed at improving seedling-stage cold tolerance in rice.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec12\" class=\"Section2\"\u003e\u003ch2\u003e3.2 Haplotype distribution of 3K germplasms\u003c/h2\u003e\u003cp\u003eUsing the geneHapR analysis tool in R, haplotype resolution was conducted on 5 critical SNP sites within LD BLOCK1 of the \u003cem\u003eOsCTS11\u003c/em\u003e across 2,277 filtered rice accessions from the 3K germplasm panel. The analysis revealed significant variations in the frequency distribution of the four major haplotypes: Hap1 (79.19%), Hap3 (10.92%), Hap2 (10.37%), and Hap4 (8.00%) (Fig.\u0026nbsp;2A1). Further examination elucidated the subpopulation composition characteristics for each haplotype. Hap1 was predominantly composed of indica rice (Indica I-III, Indadx, 52.98%), with a substantial contribution from japonica rice (Japadx, TEJ, TRJ, 36.66%), while other types were less represented. Hap2 primarily consisted of indica rice (Indica II, Indica III, Indadx, 94.26%), with smaller contributions from Indica I, TRJ, and Intermediate types. Similarly, Hap3 was mainly constituted by indica rice (Indica II, Indica III, Indadx, 92.31%), with lower frequencies in Indica I, TRJ, and Intermediate types. The dominant haplotype Hap4 comprised 74.57% japonica types, specifically Japadx, temperate japonica (TEJ), and tropical japonica (TRJ), accounting for 13.29%, 10.98%, and 50.29% respectively, while indica (Indica I, Indica II), intermediate (Admix), and Aro types were less prevalent (Fig.\u0026nbsp;2A2).\u003c/p\u003e\u003cp\u003eA systematic analysis of global haplotype distribution patterns revealed distinct geographical and climatic associations for each haplotype. Hap1 exhibited a pronounced latitudinal gradient, with its core distribution (40\u0026deg;N-55\u0026deg;N) encompassing the temperate continental climate zones of North America and Europe. In contrast, Hap2 was confined to the tropical monsoon climate belt between 0\u0026deg;-15\u0026deg;N, where its distribution frequency correlated significantly with annual accumulated temperatures exceeding 6500\u0026deg;C. Hap3 displayed a belt-like distribution along the subtropical monsoon belt (10\u0026deg;-22\u0026deg;N), showing specific adaptation to transitional monsoon periods characterized by alternating dry and wet seasons. Hap4 demonstrated a unique complementarity between the Northern Hemisphere temperate core zone (30\u0026deg;-40\u0026deg;N) and the Southern Hemisphere tropical marginal zone (5\u0026deg;S-10\u0026deg;N). This trans-latitude distribution illustrated the adaptive expansion of japonica cultivation systems from temperate plains to tropical mountainous regions at elevations between 800\u0026ndash;1500 meters, fostering the evolution of cold-tolerant rice varieties. The spatial differentiation among the four haplotypes collectively reflected adaptive responses of rice cultivation systems to climatic zones, elevation gradients, and agricultural practices. Notably, the latitudinal range from Hap1 to Hap4 spanned 85 degrees, with an annual precipitation gradient of 800\u0026ndash;4000 mm, emphasizing crop genetic diversity's response mechanisms to environmental heterogeneity (Fig.\u0026nbsp;2A3).\u003c/p\u003e\u003cp\u003eUtilizing the geneHapR analysis tool in R, haplotype resolution was conducted on 3 key SNP sites within LD BLOCK2 of the \u003cem\u003eOsCTS11\u003c/em\u003e across 2,322 rice accessions from the 3K germplasm panel. The analysis unveiled notable differences in the frequency distribution of the 4 main haplotypes: Hap1 (43.96%), Hap2 (31.78%), Hap3 (15.28%), and Hap4 (9.02%) (Fig.\u0026nbsp;2B1). Further examination revealed the subpopulation composition characteristics of each haplotype. Hap1 predominantly comprised indica rice (Indica I-III, Indadx, 73.73%), with contributions from japonica rice (Japadx, TEJ, 36.66%) and AUS rice (11.76%), whereas other types were less prevalent. Hap2 was primarily constituted by japonica rice (TRJ, TEJ, Japadx, 52.82%), supplemented by indica rice (Indica II, Indica III, Indadx, 34.45%), with Indica I, Admix, and AUS being less frequent. Hap3 consisted of both indica (41.34%) and japonica (44.44%) rice, where Indica III, Indadx, Indica II, TRJ, TEJ, Japadx, and Aro types were relatively abundant. In Hap4, indica types accounted for 87.98%, while AUS rice constituted 12.02%, with Indica III and Indadx being particularly prominent (Fig.\u0026nbsp;2B2).\u003c/p\u003e\u003cp\u003eA systematic analysis of global haplotype distribution patterns revealed distinct geographical and climatic associations for each haplotype. Hap1 was primarily distributed across Europe and North Africa, with minor occurrences in certain parts of Asia, predominantly situated within temperate maritime and Mediterranean climate zones. Hap2 was mainly found in sub-Saharan Africa, with additional distributions in South Asia and the Middle East, largely located in tropical grassland and tropical desert climate zones. Hap3 was chiefly distributed in East Asia, with detectable presence also in Southeast Asia and some Pacific islands, centered in subtropical monsoon and temperate monsoon climate zones. Hap4 exhibited a widespread distribution across the American continents, encompassing North, Central, and South America, and extending to certain islands. This haplotype was characterized by climates featuring either consistently high temperatures with abundant year-round rainfall or distinct seasons with significant temperature variations (Fig.\u0026nbsp;2B3).\u003c/p\u003e\u003cp\u003eUsing the geneHapR analysis tool in R, haplotype resolution was conducted on 4 key SNP sites within LD BLOCK3 of the \u003cem\u003eOsCTS11\u003c/em\u003e across 2,300 rice accessions from the 3K germplasm panel. The analysis revealed significant differences in the frequency distribution of the 4 primary haplotypes: Hap1 (51.41%), Hap2 (25.57%), Hap3 (15.53%), and Hap4 (7.49%) (Fig.\u0026nbsp;2C1). Further examination highlighted the subpopulation composition characteristics of each haplotype. Hap1 was predominantly composed of indica rice (Indica I-III, Indadx, 71.76%), with japonica rice accounting for 16.30% (mainly Japadx, TEJ) and AUS rice constituting 10.67%, while other types were less prevalent. Hap2 mainly comprised japonica rice (TRJ, TEJ, 67.86%), supplemented by indica rice (Indica II, Indica III, 26.15%), followed by Aro rice (4.27%) and AUS rice (1.71%), with other types being less common. Hap3 was primarily formed by indica rice (Indica III, Indadx, 88.76%), with AUS rice accounting for 8.43%, and other types being scarce. Hap4 was chiefly constituted by japonica rice (TRJ, TEJ, Japadx, 77.38%), with indica rice making up only 7.14%, Aro rice at 11.31%, and other types being less frequent (Fig.\u0026nbsp;2C2).\u003c/p\u003e\u003cp\u003eA systematic analysis of global haplotype distribution patterns showed that Hap1 was predominantly concentrated between 20\u0026deg;N and 40\u0026deg;N, encompassing temperate regions in North America, Europe, Asia (including East and Central Asia), and North Africa (such as the North African coast and the Sahel zone), primarily defined by temperate climates. In contrast, Hap2 was widely distributed across humid and semi-arid tropical regions between the equator and 30\u0026deg;S, including South America, Central/Southern Africa (e.g., the Congo Basin, the South African highlands), Eastern/Southern Australia, and tropical Asia (e.g., Southeast Asia, South Asia), predominantly featuring tropical and subtropical climates. Hap3 was concentrated in high-humidity, high-temperature areas near the equator (within 10\u0026deg; latitude north and south), found across Central/Southern Africa (e.g., the Congo Basin, South Africa), Northern South America (e.g., the Amazon rainforest), Northern Australia, and tropical lowlands of Asia (e.g., Indonesia, the Philippines), representing typical tropical climate types. Conversely, Hap4 displayed a distribution complementary to Hap1, present in higher-latitude temperate arid/semi-arid regions, including temperate zones of North America, Europe, and Asia, as well as North Africa (e.g., the Nile Valley), also classified under the temperate climate category. Consequently, Hap1 was associated with coastal temperate maritime climates, whereas Hap4 was prevalent in inland temperate continental climates, indicating Hap4's potential role in the evolution of cold-tolerant rice materials (Fig.\u0026nbsp;2C3).\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec13\" class=\"Section2\"\u003e\u003ch2\u003e3.3 Development of favorable haplotype molecular markers for the \u003cem\u003eOsCTS11\u003c/em\u003e\u003c/h2\u003e\u003cp\u003eKASP markers were developed utilizing Primer5 software to detect five SNP sites within LD BLOCK1 of the \u003cem\u003eOsCTS11\u003c/em\u003e: Chr11-24225824 (SNP340918381, C/G), Chr11-24225868 (SNP340918425, G/C), Chr11-24226167 (SNP340918724, A/G), Chr11-24228106 (SNP340920663, C/A), and Chr11-24229054 (SNP340921611, A/T). The marker for SNP340918381, termed CTS11-824-KASP, consisted of 3 primers: 824FAM, 824HEX, and 824C, designed to distinguish between C or G at Chr11-24225824. The 824FAM primer featured an FAM fluorescent label at its 5' end, terminating with a G at the 3' end, while the 824HEX primer had an HEX fluorescent label at the 5' end, ending with a C at the 3' end. After PCR amplification, fluorescence detection yielded results for Chr11-24225824 as follows: orange circles (FAM) representing the GG genotype, blue squares (HEX) indicating the CC genotype, and green triangles signifying the GC heterozygote (Fig.\u0026nbsp;3A1, Fig.\u0026nbsp;4A1). Similarly, the marker for SNP340918425 was CTS11-868-KASP, with results interpreted as: orange (FAM) for CC genotype, blue (HEX) for GG genotype, and green for CG heterozygote (Fig.\u0026nbsp;3A2, Fig.\u0026nbsp;4A2). The marker for SNP340918724 was CTS11-167-KASP, showing results where orange (FAM) denoted AA genotype, blue (HEX) GG genotype, and green AG heterozygote (Fig.\u0026nbsp;3A3, Fig.\u0026nbsp;4A3). The marker for SNP340920663 was CTS11-106-KASP, with results: orange (FAM) for CC genotype, blue (HEX) for AA genotype, and green for CA heterozygote (Fig.\u0026nbsp;3A4, Fig.\u0026nbsp;4A4). For SNP340921611, the marker CTS11-054-KASP displayed results of orange (FAM) indicating TT genotype, blue (HEX) AA genotype, and green TA heterozygote (Fig.\u0026nbsp;3A5, Fig.\u0026nbsp;4A5). Genotyping using these KASP markers enabled haplotype classification: CGACA was attributed to Hap1, GCACT to Hap2, CGGCA to Hap3, and GCACA identified as Hap4. Notably, Hap4 is the favorable haplotype for seedling-stage cold tolerance within LD BLOCK1 of the \u003cem\u003eOsCTS11\u003c/em\u003e.\u003c/p\u003e\u003cp\u003eFor the three SNP sites within LD BLOCK2\u0026mdash;Chr11-24229461 (SNP340922018, G/A), Chr11-24229565 (SNP340922122, G/A), and Chr11-24229696 (SNP340922253, A/C)\u0026mdash;corresponding KASP detection markers were developed. The marker for SNP340922018, termed CTS11-461-KASP, targeted Chr11-24229461. Its genotyping results were as follows: orange (FAM) indicated the GG genotype, blue (HEX) signified the AA genotype, and green represented the GA heterozygote (Fig.\u0026nbsp;3B1, Fig.\u0026nbsp;4B1). The marker for SNP340922122 was named CTS11-565-KASP, targeting Chr11-24229565, with results showing: orange (FAM) for the AA genotype, blue (HEX) for the GG genotype, and green for the AG heterozygote (Fig.\u0026nbsp;3B2, Fig.\u0026nbsp;4B2). The marker for SNP340922253, termed CTS11-696-KASP, targeted Chr11-24229696, presenting results where orange (FAM) indicated the AA genotype, blue (HEX) represented the CC genotype, and green denoted the AC heterozygote (Fig.\u0026nbsp;3B3, Fig.\u0026nbsp;4B3). Using these markers for genotyping, the following combinations were assigned to haplotypes: GGA was classified as Hap1, GGC was identified as Hap2, GAA belonged to Hap3, and AGA was assigned to Hap4. Among these, Hap3 is the favorable haplotype for seedling-stage cold tolerance within LD BLOCK2 of the \u003cem\u003eOsCTS11\u003c/em\u003e.\u003c/p\u003e\u003cp\u003eFor the four SNP sites within LD BLOCK3, Chr11-24229710 (SNP340922267, A/G), Chr11-24229747 (SNP340922304, C/T), Chr11-24229774 (SNP340922331, C/T), and Chr11-24229785 (SNP340922342, G/A), specific KASP detection markers were developed. The marker CTS11-710-KASP was employed for SNP340922267 at Chr11-24229710, with results interpreted as follows: orange (FAM) indicating the CC genotype, blue (HEX) indicating the TT genotype, and green indicating the CT heterozygote (Fig.\u0026nbsp;3C1, Fig.\u0026nbsp;4C1). For SNP340922304, the CTS11-747-KASP marker targeted Chr11-24229747, yielding results of orange (FAM) for GG genotype, blue (HEX) for AA genotype, and green for GA heterozygote (Fig.\u0026nbsp;3C2, Fig.\u0026nbsp;4C2). The CTS11-774-KASP marker was used for SNP340922331, presenting results as: orange (FAM) for CC genotype, blue (HEX) for TT genotype, and green for CT heterozygote (Fig.\u0026nbsp;3C3, Fig.\u0026nbsp;4C3). For SNP340922342, the CTS11-785-KASP marker targeted Chr11-24229785, with results indicating orange (FAM) for GG genotype, blue (HEX) for AA genotype, and green for GA heterozygote (Fig.\u0026nbsp;3C4, Fig.\u0026nbsp;4C4). Genotyping sample materials using these four KASP markers led to the assignment of genotype combinations to haplotypes: ACCG was identified as Hap1, GCCG was classified as Hap2, GCCA was assigned to Hap3. Importantly, Hap4 is recognized as the favorable haplotype for seedling-stage cold tolerance within LD BLOCK3 of the \u003cem\u003eOsCTS11\u003c/em\u003e.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec14\" class=\"Section2\"\u003e\u003ch2\u003e3.4 Validation of haplotype-specific molecular markers for the \u003cem\u003eOsCTS11\u003c/em\u003e\u003c/h2\u003e\u003cp\u003eTo validate the developed molecular markers, 80 accessions were selected from the 529 germplasm accessions assessed for cold tolerance within the 3K Rice Core Collection. These accessions represented the 10 distinct haplotype combinations across LD BLOCK1 to LD BLOCK3 of the \u003cem\u003eOsCTS11\u003c/em\u003e, with 8 accessions corresponding to each haplotype type (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). The KASP technology was utilized employing 12 developed markers, including CTS11-824-KASP, CTS11-565-KASP, and CTS11-785-KASP etc, to genotype the selected 80 core collection accessions. The results were compared against the IRRI-SNP database (snp-seek.irri.org/_download.zul). Complete concordance was observed between all KASP genotyping results and the original SNP information, confirming that the 12 molecular markers, including CTS11-824-KASP, CTS11-565-KASP, and CTS11-785-KASP etc, effectively distinguish genetic variations at the 12 key SNP loci of the Os\u003cem\u003eCTS11\u003c/em\u003e (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eTo investigate the response mechanisms to low-temperature stress among different germplasms and haplotype combinations, transcriptome analysis was conducted on the seedling-stage cold-sensitive accession IRIS_313-10275 (seedling survival rate of 0.00% under seedling-stage cold stress, Table S1) and the cold-tolerant accession IRIS_313-11725 (seedling survival rate of 92.54% under seedling-stage cold stress, Table S1), comparing control and cold stress groups. The results demonstrated that following seedling-stage low-temperature stress, the expression levels of the \u003cem\u003eOsCTS11\u003c/em\u003e were significantly reduced in both cold-sensitive and cold-tolerant germplasms. Specifically, the expression level in cold-sensitive IRIS_313-10275 decreased by 7.6-fold, whereas in cold-tolerant IRIS_313-11725, it decreased by approximately 23.8-fold. These findings suggest that the \u003cem\u003eOsCTS11\u003c/em\u003e gene plays a negative regulatory role under low-temperature stress, indicating that lower expression levels of \u003cem\u003eOsCTS11\u003c/em\u003e are associated with enhanced low-temperature tolerance (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e5\u003c/span\u003eA).\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eTo further investigate the expression changes of \u003cem\u003eOsCTS11\u003c/em\u003e under cold stress associated with different haplotype combinations across LD BLOCK1 to LD BLOCK3, qRT-PCR analysis was conducted on 8 accessions per haplotype combination (totaling ten combinations) under seedling-stage room temperature conditions (CTSS 0 d) and after seven days of low-temperature treatment (CTSS 7 d) (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). The results demonstrated that following seedling-stage cold stress, the expression levels of all haplotype combinations significantly decreased, with fold-changes ranging from 3.4 to 64.4. Notably, combinations Hap1\u0026thinsp;+\u0026thinsp;Hap3\u0026thinsp;+\u0026thinsp;Hap2, Hap1\u0026thinsp;+\u0026thinsp;Hap3\u0026thinsp;+\u0026thinsp;Hap4, and Hap4\u0026thinsp;+\u0026thinsp;Hap3\u0026thinsp;+\u0026thinsp;Hap2, which included favorable haplotypes Hap4 from LD BLOCK1, Hap3 from LD BLOCK2, and Hap4 from LD BLOCK3, respectively, exhibited greater reductions of 28.1-fold, 39.9-fold, and 64.4-fold. In contrast, the remaining 7 combinations lacking these favorable haplotypes showed fold-changes between 3.4- and 8.2-fold (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e5\u003c/span\u003eB). These findings suggest that under the influence of favorable haplotypes, the expression level of the \u003cem\u003eOsCTS11\u003c/em\u003e decreases more markedly, thereby enhancing seedling-stage cold tolerance.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec15\" class=\"Section2\"\u003e\u003ch2\u003e3.5 Haplotype analysis of the \u003cem\u003eOsCTS11\u003c/em\u003e gene in 42 rice accessions\u003c/h2\u003e\u003cp\u003eKASP genotyping technology was employed to detect and determine the haplotypes of 12 key SNP loci (SNP340918381, SNP340918425, SNP340918724, etc.) within BLOCK 1, BLOCK 2, and BLOCK 3 of the \u003cem\u003eOsCTS11\u003c/em\u003e in 42 rice accessions, including commercially utilized germplasm and hybrid rice varieties. The results indicated that 9 hybrid rice varieties, such as Pingliang You Mingyue Simiao, exhibited a haplotype combination of Hap1\u0026thinsp;+\u0026thinsp;Hap1\u0026thinsp;+\u0026thinsp;Hap1 across BLOCK 1, BLOCK 2, and BLOCK 3. Gongliangyou 892 had a combination of Hap1\u0026thinsp;+\u0026thinsp;Hap1\u0026thinsp;+\u0026thinsp;Hap3, while Fengliangyou Xiang 1 showed Hap1\u0026thinsp;+\u0026thinsp;Hap1 for BLOCK 1 and BLOCK 2. 11 hybrid rice varieties lacked the favorable haplotypes in BLOCK 1, BLOCK 2, and BLOCK 3, and all exhibited a 0% seedling survival rate under low-temperature conditions. Among the indica rice materials, Jingguizhan, Yueong Si Miao, and Shaoxiang 100 had a haplotype combination of Hap1\u0026thinsp;+\u0026thinsp;Hap1\u0026thinsp;+\u0026thinsp;Hap1 for BLOCK 1, BLOCK 2, and BLOCK 3. Minghui 86, R8612, Guanghui 398, Xiangzaoshan 45, and Meixiangzhan 2 showed a combination of Hap2\u0026thinsp;+\u0026thinsp;Hap1\u0026thinsp;+\u0026thinsp;Hap1, while Zhenhui 084 and Shuhui 527 had Hap2\u0026thinsp;+\u0026thinsp;Hap1\u0026thinsp;+\u0026thinsp;Hap3. Huazhan presented Hap1\u0026thinsp;+\u0026thinsp;Hap1\u0026thinsp;+\u0026thinsp;Hap2, and R9311 had Hap1\u0026thinsp;+\u0026thinsp;Hap2\u0026thinsp;+\u0026thinsp;Hap1. These indica rice accessions did not carry the favorable haplotypes, and their seedling survival rates under low-temperature conditions were also 0%. In contrast, the indica rice variety R676 displayed the favorable haplotype Hap4 in BLOCK 1, along with Hap1 and Hap3 in BLOCK 2 and BLOCK 3, resulting in a haplotype combination of Hap4\u0026thinsp;+\u0026thinsp;Hap1\u0026thinsp;+\u0026thinsp;Hap3. This variety achieved a seedling survival rate of 69.0% under low-temperature stress, demonstrating exceptional cold tolerance. Suigeng 18 and Nangeng 5055 had haplotypes Hap2, Hap1, and Hap1 for BLOCK 1, BLOCK 2, and BLOCK 3, respectively. 12 japonica rice varieties, including Jiahe Xiang 1, Songzao Xiang 1, and Songxianggeng 1018, showed a combination of Hap2\u0026thinsp;+\u0026thinsp;Hap1\u0026thinsp;+\u0026thinsp;Hap2. Ningxianggeng 9, Nangeng 5718, and Dongdao 275 had Hap2\u0026thinsp;+\u0026thinsp;Hap3\u0026thinsp;+\u0026thinsp;Hap2. Yungeng 15 exhibited Hap1\u0026thinsp;+\u0026thinsp;Hap2\u0026thinsp;+\u0026thinsp;Hap1, Suxianggeng 100 had Hap2\u0026thinsp;+\u0026thinsp;Hap1\u0026thinsp;+\u0026thinsp;Hap3, and Jingeng 818 showed Hap2\u0026thinsp;+\u0026thinsp;Hap2\u0026thinsp;+\u0026thinsp;Hap3. These japonica rice materials did not carry the favorable haplotypes, and their seedling survival rates under low-temperature conditions ranged from 0.0\u0026ndash;18.9%. Notably, the japonica rice variety Nangeng 5718 carried the favorable haplotype Hap3 in BLOCK 2, with Hap2 haplotypes in BLOCK 1 and BLOCK3, resulting in a combination of Hap2\u0026thinsp;+\u0026thinsp;Hap3\u0026thinsp;+\u0026thinsp;Hap2. This variety achieved a seedling survival rate of 46.6% under low-temperature stress, exhibiting strong cold tolerance (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e).\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec16\" class=\"Section2\"\u003e\u003ch2\u003e3.6 Development of seedlings with enhanced cold tolerance\u003c/h2\u003e\u003cp\u003eUsing the cold-sensitive indica rice variety Meixiangzhan 2 (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e) as the recurrent parent, 4 donor parents were selected from the 3K core collection: B046 (carrying the Hap1\u0026thinsp;+\u0026thinsp;Hap3\u0026thinsp;+\u0026thinsp;Hap2 haplotype combination, with Hap3 as the favorable haplotype; seedling survival rate under cold stress: 90.32%; rice type: Tej; Table S1), IRIS_313-11929 (Hap1\u0026thinsp;+\u0026thinsp;Hap3\u0026thinsp;+\u0026thinsp;Hap4, with Hap3 and Hap4 as favorable haplotypes; survival rate: 95.35%; rice type: TrjA; Table S1), IRIS_313\u0026ndash;9771 (Hap4\u0026thinsp;+\u0026thinsp;Hap3\u0026thinsp;+\u0026thinsp;Hap2, with Hap4 and Hap3 as favorable haplotypes; survival rate: 86.32%; rice type: Tej; Table S1), and IRIS_313-12217 (Hap4\u0026thinsp;+\u0026thinsp;Hap3\u0026thinsp;+\u0026thinsp;Hap4, with Hap4, Hap3, and Hap4 as favorable haplotypes; survival rate: 87.23%; rice type: Tej; Table S1). Through a stepwise crossing strategy involving one cross, one backcross, and five generations of selfing, combined with marker-assisted selection, new cold-tolerant germplasm lines YR05, YR06, YR07, and YR08 were successfully developed (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e6\u003c/span\u003eA). Cold tolerance assessment at the seedling stage revealed that during the recovery growth phase after 7 days of cold stress, the seedling survival rates of YR05 to YR08 were significantly higher than those of the recurrent parent Meixiangzhan 2, demonstrating a 2.9- to 4.4-fold improvement in cold tolerance compared to Meixiangzhan 2. Furthermore, germplasm line YR08 (Hap4\u0026thinsp;+\u0026thinsp;Hap3\u0026thinsp;+\u0026thinsp;Hap4, carrying 3 favorable haplotypes) exhibited significantly higher seedling-stage cold tolerance than YR05 (Hap1\u0026thinsp;+\u0026thinsp;Hap3\u0026thinsp;+\u0026thinsp;Hap2, with Hap3 as the favorable haplotype) and YR06 (Hap1\u0026thinsp;+\u0026thinsp;Hap3\u0026thinsp;+\u0026thinsp;Hap4, with Hap3 and Hap4 as favorable haplotypes), and significantly higher tolerance than YR07 (Hap4\u0026thinsp;+\u0026thinsp;Hap3\u0026thinsp;+\u0026thinsp;Hap2, with Hap4 and Hap3 as favorable haplotypes). In contrast, no significant difference in seedling-stage cold tolerance was observed between YR06 and YR07 (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e6\u003c/span\u003eB-C).\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eThese findings further substantiate the pivotal role of the favorable haplotypes Hap4 in LD BLOCK1, Hap3 in LD BLOCK2, and Hap4 in LD BLOCK3 of the \u003cem\u003eOsCTS11\u003c/em\u003e, along with their combinations, in the development of novel germplasm exhibiting enhanced seedling-stage cold tolerance. Additionally, this research offers valuable germplasm resources for breeding cold-tolerant rice varieties.\u003c/p\u003e\u003c/div\u003e"},{"header":"4. Discussion","content":"\u003cdiv id=\"Sec18\" class=\"Section2\"\u003e\u003ch2\u003e4.1 Genetic mechanisms and breeding value of LD BLOCK haplotype analysis\u003c/h2\u003e\u003cp\u003eIn population genetics research, Linkage Disequilibrium Blocks (LD BLOCK) denote contiguous genomic regions where adjacent genetic markers exhibit significant linkage disequilibrium. The formation and evolutionary mechanisms of these BLOCKs offer valuable insights into genomic evolution (Wu et al. \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e2022\u003c/span\u003e). The structural features of LD BLOCKs are influenced by multiple evolutionary forces: firstly, recombination hotspots maintain haplotype integrity by suppressing crossover recombination within the region (Abecasis et al. \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2012\u003c/span\u003e); secondly, the founder effect during population expansion can result in the high-frequency retention of specific haplotypes (Hamazaki and Iwata \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2020\u003c/span\u003e); additionally, under positive selection pressure, the rapid spread of favorable haplotypes can produce distinct selection signals (Havrilla et al. \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). These evolutionary processes lead to haplotype structures within LD BLOCKs exhibiting significant population genetic differentiation, providing molecular markers for tracking natural selection (Hamazaki and Iwata \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Sivabharathi et al. \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). In molecular breeding, LD BLOCK analysis offers dual application value: one aspect involves utilizing tightly linked SNP loci within a BLOCK to develop high-density molecular markers, thus overcoming the temporal and spatial limitations of phenotypic assessment and enabling indirect selection for target traits (Della Coletta et al. \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Eltahawy et al. \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e2020\u003c/span\u003e; Liu et al. \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e2025\u003c/span\u003e; Liu et al. \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e2023\u003c/span\u003e); another aspect involves significant associations between specific LD BLOCK and phenotypes that furnish physical coordinates for gene mapping, thereby substantially improving the efficiency of screening for coding region missense mutations or regulatory element variations (Cao et al. \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2025\u003c/span\u003e; Lee et al. \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2025\u003c/span\u003e; Sivabharathi et al. \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Despite low-temperature stress being a critical abiotic factor limiting rice growth, prior studies have primarily concentrated on identifying cold tolerance genes and QTLs (Chaikam and Karlson \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2008\u003c/span\u003e; Liu et al. \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2013\u003c/span\u003e; Ma et al. \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2015\u003c/span\u003e; Mao et al. \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2019\u003c/span\u003e; Morino et al. \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2016\u003c/span\u003e; SI et al. \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2011\u003c/span\u003e; Wu et al. \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Xia et al. \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Z et al. 2023), with limited exploration into haplotype evolutionary patterns and molecular marker applications. This study, utilizing materials from the 3K Rice Genomic Diversity Panel, systematically analyzed genetic variations in coding and regulatory regions of the \u003cem\u003eOsCTS11\u003c/em\u003e gene. The findings revealed three characteristic LD BLOCKs (BLOCK1-3) in the regulatory region, where haplotype combinations within each BLOCK influence seedling-stage cold tolerance by regulating \u003cem\u003eOsCTS11\u003c/em\u003e expression levels (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eB, Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e5\u003c/span\u003eA-B). Notably, haplotype combinations containing favorable haplotypes Hap4 in LD BLOCK1, Hap3 in LD BLOCK2, and Hap4 in LD BLOCK3 (specifically, Hap1\u0026thinsp;+\u0026thinsp;Hap3\u0026thinsp;+\u0026thinsp;Hap2, Hap1\u0026thinsp;+\u0026thinsp;Hap3\u0026thinsp;+\u0026thinsp;Hap4, and Hap4\u0026thinsp;+\u0026thinsp;Hap3\u0026thinsp;+\u0026thinsp;Hap2) exhibited a markedly greater decrease in expression levels following cold stress. This indicates that this haplotype module enhances the low-temperature adaptation capacity of rice seedlings through a negative regulatory mechanism, offering a novel target system for marker-assisted cold tolerance breeding (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e5\u003c/span\u003eB, Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). Crucially, the strategy of mining favorable haplotype combinations based on LD BLOCKs of candidate genes has not been systematically reported. This study provides a new perspective for identifying favorable haplotypes in target genes for molecular breeding.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec19\" class=\"Section2\"\u003e\u003ch2\u003e4.2 Haplotype module mining and molecular marker technology for enhancing cold tolerance breeding in rice\u003c/h2\u003e\u003cp\u003eStudies have demonstrated a negative correlation between the expression level of the \u003cem\u003eOsCTS11\u003c/em\u003e and cold tolerance phenotype, classifying \u003cem\u003eOsCTS11\u003c/em\u003e as a cold-sensitive gene. Employing the CRISPR/Cas9 system to edit the second exon of \u003cem\u003eOsCTS11\u003c/em\u003e in the Nipponbare (NIP) background resulted in 2 mutant lines, \u003cem\u003eoscts11-1\u003c/em\u003e and \u003cem\u003eoscts11-2\u003c/em\u003e, which exhibited significantly improved seedling survival rates compared to the wild-type NIP, suggesting that reduced expression of \u003cem\u003eOsCTS11\u003c/em\u003e enhances seedling-stage cold tolerance (Wu et al. \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Consequently, applications involving the \u003cem\u003eOsCTS11\u003c/em\u003e typically necessitate the development of gene-edited mutants or expression-suppressed lines. However, these materials are classified as genetically modified organisms (GMOs), subject to stringent regulatory scrutiny regarding biosafety, which limits their broader application. Recent studies have identified several negative regulatory genes or transcription factors associated with seedling-stage cold tolerance in rice. For example, the \u003cem\u003eHAN1\u003c/em\u003e gene acts as a negative regulator of cold tolerance and is involved in regulating jasmonate (JA)-mediated cold responses, plants overexpressing \u003cem\u003eHAN1\u003c/em\u003e exhibit wilting during the seedling stage, while knockout enhances cold tolerance (Mao et al. \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2019\u003c/span\u003e). The COLD6 and OSM1 proteins form a complex that senses cold and triggers the production of 2',3'-cyclic adenosine monophosphate (2',3'-cAMP), thus enhancing rice cold tolerance. Notably, \u003cem\u003eCOLD6\u003c/em\u003e negatively regulates cold tolerance, and its knockout results in increased tolerance (Luo et al. \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e2024\u003c/span\u003e). Therefore, there is a pressing need for novel molecular marker development strategies to enable the application of negative regulatory genes or transcription factors in breeding through non-transgenic methods.\u003c/p\u003e\u003cp\u003eWith the rapid advancement of molecular biology and genomics technologies in recent years, whole-genome resequencing has facilitated the identification of favorable haplotypes associated with cold tolerance genes (Li et al. \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; Shi et al. \u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Wang et al. \u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e2018\u003c/span\u003e; Yang et al. \u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e2020\u003c/span\u003e). This study integrated whole-genome resequencing data with LD analysis, examining resequencing data from 529 rice accessions within the 3K Rice Genomic Diversity Panel. LD analysis was conducted on the CDS region of \u003cem\u003eOsCTS11\u003c/em\u003e and its flanking regulatory regions, identifying 3 key LD BLOCKs (LD BLOCK1-3) in the regulatory region of \u003cem\u003eOsCTS11\u003c/em\u003e. Favorable haplotypes, Hap4 (in LD BLOCK1), Hap3 (in LD BLOCK2), and Hap4 (in LD BLOCK3), were subsequently identified within these BLOCKs (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eA-B-C2-D2-E2). The results indicated that accessions carrying these haplotypes exhibited significantly improved seedling survival rates under cold stress (ranging from 51.48\u0026ndash;65.38%) (Fig.\u0026nbsp;1C2-D2-E2). Moreover, favorable haplotypes from different LD BLOCKs (LD BLOCK1-3) showed a significant additive effect. The novel germplasm line YR08, carrying the Hap4 (BLOCK1)\u0026thinsp;+\u0026thinsp;Hap3 (BLOCK2)\u0026thinsp;+\u0026thinsp;Hap4 (BLOCK3) combination, demonstrated superior seedling survival rates compared to lines with single or double haplotype combinations, indicating that genetic variations in different regulatory regions synergistically enhance cold tolerance (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e6\u003c/span\u003eB-C). By mining haplotypes from natural variations, this study provides novel genetic resources for rice cold tolerance breeding. Additionally, favorable haplotypes identified within the regulatory region were utilized to develop KASP molecular markers, aimed at accelerating the creation of novel cold-tolerant germplasm. This strategy offers a new direction for applying negative regulatory genes or transcription factors in breeding.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec20\" class=\"Section2\"\u003e\u003ch2\u003e4.3 Application of molecular marker-mssisted selection in rice cold tolerance breeding and strategy optimization\u003c/h2\u003e\u003cp\u003eCold tolerance, a quantitative trait regulated by multiple genes, has traditionally relied on phenotypic selection in breeding, which is inefficient and susceptible to environmental noise (Lv et al. \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2016\u003c/span\u003e; Sandhu et al. \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e2022\u003c/span\u003e; VC and botany. 2003). Integrating targeted QTL or genes with molecular marker-assisted selection (MAS), alongside hybridization, backcrossing, and selfing between parents, allows for the rapid introgression of favorable alleles/QTL into elite varieties, thereby shortening breeding cycles and reducing costs(Y et al. 2025; Yang et al. \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Yu et al. \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2025a\u003c/span\u003e). MAS has already been successfully applied in developing parental lines with enhanced cold tolerance in rice (Li et al. \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2025\u003c/span\u003e; Y et al. 2025; Yang et al. \u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e2023\u003c/span\u003e; Yu et al. \u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e2025a\u003c/span\u003e). This study developed KASP markers based on 12 SNPs within LD BLOCKs, effectively avoiding haplotype misclassification due to genotyping errors in single SNPs, achieving a 100% genotyping accuracy rate and overcoming the limitations of insufficient precision in traditional QTL mapping (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e3\u003c/span\u003e, Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e4\u003c/span\u003e). Through marker-assisted backcrossing, favorable haplotypes or their combinations from LD BLOCK1, BLOCK2 and BLOCK3 of the \u003cem\u003eOsCTS11\u003c/em\u003e were introgressed into the widely cultivated indica variety Meixiangzhan 2, successfully creating four novel cold-tolerant germplasms: YR05 (Hap1\u0026thinsp;+\u0026thinsp;Hap3\u0026thinsp;+\u0026thinsp;Hap2, with Hap3 as the favorable haplotype), YR06 (Hap1\u0026thinsp;+\u0026thinsp;Hap3\u0026thinsp;+\u0026thinsp;Hap4, with Hap3\u0026thinsp;+\u0026thinsp;Hap4 as favorable haplotypes), YR07 (Hap4\u0026thinsp;+\u0026thinsp;Hap3\u0026thinsp;+\u0026thinsp;Hap2, with Hap4\u0026thinsp;+\u0026thinsp;Hap3 as favorable haplotypes), and YR08 (Hap4\u0026thinsp;+\u0026thinsp;Hap3\u0026thinsp;+\u0026thinsp;Hap4, all dominant haplotypes). This effectively addressed the deficiency of Meixiangzhan 2's sensitivity to low temperatures during the seedling stage (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e6\u003c/span\u003eA). Comparing seedling survival rates under cold stress among these novel germplasms revealed that YR08, carrying all three favorable haplotypes, exhibited significantly enhanced cold tolerance at the seedling stage compared to YR05 and YR06, and demonstrated higher tolerance than YR07, with no significant difference observed between YR06 and YR07 (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e6\u003c/span\u003eC). qRT-PCR analysis of \u003cem\u003eOsCTS11\u003c/em\u003e expression across 10 haplotype combinations validated this trend (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e, Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e5\u003c/span\u003eB). Combinations including favorable haplotypes LD BLOCK1 (Hap4), LD BLOCK2 (Hap3), and LD BLOCK3 (Hap4) (i.e., Hap1\u0026thinsp;+\u0026thinsp;Hap3\u0026thinsp;+\u0026thinsp;Hap2, Hap1\u0026thinsp;+\u0026thinsp;Hap3\u0026thinsp;+\u0026thinsp;Hap4, Hap4\u0026thinsp;+\u0026thinsp;Hap3\u0026thinsp;+\u0026thinsp;Hap2) showed a greater reduction in gene expression levels (28.1-64.4-fold), whereas the other 7 combinations lacking favorable haplotypes exhibited a decrease ranging from 3.4- to 8.2-fold (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e, Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e5\u003c/span\u003eB). Further validation of marker accuracy was achieved through genotype, phenotype, and transcriptome-level analyses. This study successfully developed novel cold-tolerant germplasms YR05, YR06, YR07, and YR08 by employing a stepwise hybridization strategy (one cross\u0026thinsp;+\u0026thinsp;one backcross\u0026thinsp;+\u0026thinsp;five generations of selfing) combined with MAS, effectively addressing the challenges of long breeding cycles and low efficiency associated with traditional phenotypic selection methods.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec21\" class=\"Section2\"\u003e\u003ch2\u003e4.4 Future Directions\u003c/h2\u003e\u003cp\u003eRice cold tolerance is a quantitative trait regulated by multiple genes, influenced by a complex interplay of genetic factors, field microclimate, and soil physicochemical properties (Andaya and Mackill \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2003\u003c/span\u003e; Li et al. \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2025\u003c/span\u003e; Lv et al. \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e2016\u003c/span\u003e). Future research should focus on systematically monitoring the dynamic performance of seedling-stage cold tolerance in YR05, YR06, YR07, and YR08 under varying field microclimatic and soil physicochemical conditions. Molecular mechanism studies should aim to elucidate the synergistic regulatory effects of \u003cem\u003eOsCTS11\u003c/em\u003e with other cold tolerance genes, such as \u003cem\u003eOsGSTZ2\u003c/em\u003e (SI et al. \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e2011\u003c/span\u003e), \u003cem\u003eLTT7\u003c/em\u003e (Liu et al. \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2013\u003c/span\u003e), \u003cem\u003eCOLD1\u003c/em\u003e (Ma et al. \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2015\u003c/span\u003e), \u003cem\u003eHAN1\u003c/em\u003e (Mao et al. \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2019\u003c/span\u003e), \u003cem\u003eOsCSP1\u003c/em\u003e and \u003cem\u003eOsCSP2\u003c/em\u003e (Chaikam and Karlson \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e2008\u003c/span\u003e; Morino et al. \u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e2016\u003c/span\u003e), \u003cem\u003eCOLD11\u003c/em\u003e (Wu et al. \u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e2024\u003c/span\u003e; Z et al. 2023), and \u003cem\u003eCOG1\u003c/em\u003e (Xia et al. \u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e2023\u003c/span\u003e). A comprehensive evaluation of the developed germplasm from phenomics and molecular biology perspectives is required to determine its application potential.Furthermore, despite the identification of several rice seedling-stage cold tolerance genes, including \u003cem\u003eLTT7\u003c/em\u003e (Liu et al. \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e2013\u003c/span\u003e), \u003cem\u003eCOLD1\u003c/em\u003e (Ma et al. \u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e2015\u003c/span\u003e), and \u003cem\u003eHAN1\u003c/em\u003e (Mao et al. \u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e2019\u003c/span\u003e), their practical application in breeding remains limited. This limitation may be due to insufficient precision in molecular marker localization or pronounced genotype-by-environment interaction effects. Therefore, it is essential to deeply mine favorable haplotypes from cloned cold tolerance genes and assess their breeding value while employing multi-gene pyramiding strategies to construct a germplasm resource pool with broad adaptability for cold tolerance.\u003c/p\u003e\u003c/div\u003e"},{"header":"5. Summary","content":"\u003cp\u003eThis study utilized the 3K Rice Core Collection to systematically characterize the natural variation of the \u003cem\u003eOsCTS11\u003c/em\u003e, encompassing its coding region and upstream/downstream regulatory sequences through genetic variation and LD analysis. Using an LD BLOCK analysis strategy, favorable haplotypes of the \u003cem\u003eOsCTS11\u003c/em\u003e were identified for the first time. This led to the development of a high-throughput KASP marker system targeting 3 LD BLOCK-specific favorable SNPs, allowing for rapid germplasm identification and targeted improvement. Consequently, novel indica rice germplasm lines YR05, YR06, YR07, and YR08 with significantly enhanced seedling-stage cold tolerance were created. This research offers precise and efficient molecular markers for rice cold tolerance breeding and introduces a new strategy for marker development, facilitating the use of negative regulatory genes or transcription factors in breeding through non-transgenic methods. Future plans include investigating synergistic regulatory effects between \u003cem\u003eOsCTS11\u003c/em\u003e and other cold tolerance genes such as \u003cem\u003eOsGSTZ2\u003c/em\u003e, \u003cem\u003eLTT7, COLD1, HAN1, OsCSP1, OsCSP2, COLD11\u003c/em\u003e, and \u003cem\u003eCOG1\u003c/em\u003e, alongside conducting in-depth assessments of the breeding value of the cold-tolerant germplasm lines YR05, YR06, YR07, and YR08. These efforts aim to provide theoretical and technical support for the molecular design breeding of cold-tolerant rice varieties.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAuthorship contribution statement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eJianghui Yu performed major experiments and write the manuscript, Shaoran Suo, Huang Zhou, Yunpeng Peng, Zhijun Wang, Huan Cao, Zhijun Wang, Yongkang Liu, Xiwen Shi, Dingyang Yuan, Ling Liu, Cheng Zheng performed the research study. Meijuan Duan and Jianghui Yu conceived and supervised the study, funding acquisition, and revised the manuscript. All authors approved the final version of the manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDeclaration of competing interest\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe author declares no competing interests.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgments\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis work was supported by grants from the major projects in agricultural biological breeding(2022ZD04004) and science and technology innovation program of hunan province (2023NK1010) .\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eAbecasis GR, Auton A, Brooks LD, DePristo MA, Durbin RM, Handsaker RE, Kang HM, Marth GT, McVean GA (2012) An integrated map of genetic variation from 1,092 human genomes. Nature 491:56\u0026ndash;65\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eAndaya VC, Mackill DJ (2003) Mapping of QTLs associated with cold tolerance during the vegetative stage in rice. J Exp Bot 54:2579\u0026ndash;2585\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eBarrett JC, Fry B, Maller J, Daly MJ (2005) Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics 21:263\u0026ndash;265\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eC H, biology AJJMim (2014) SNP genotyping: the KASP assay. Methods Mol Biol 1145:75\u0026ndash;86\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eCao FY, Lee GH, Zeng Y, Lee AR, Park SY, Jang SG, Cho LH, Kim ST, Lee J, Kwon SW (2025) Genome-Wide identification and functional characterization of brown spot resistance genes in rice (\u003cem\u003eOryza sativa\u003c/em\u003e L). J Agric Food Chem 73:14089\u0026ndash;14098\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eChaikam V, Karlson D (2008) Functional characterization of two cold shock domain proteins from \u003cem\u003eOryza sativa\u003c/em\u003e. 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BMC Plant Biol 24:649\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":true,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"theoretical-and-applied-genetics","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"taag","sideBox":"Learn more about [Theoretical and Applied Genetics](https://www.springer.com/journal/122)","snPcode":"122","submissionUrl":"https://submission.nature.com/new-submission/122/3","title":"Theoretical and Applied Genetics","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Rice, Seedling stage cold tolerance, Haplotype, Molecular marker, Negative regulation, OsCTS11","lastPublishedDoi":"10.21203/rs.3.rs-7329320/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7329320/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eLow-temperature stress poses a significant challenge to the growth and yield of rice seedlings. Although quantitative trait loci (QTLs) have been mapped and underlying genes for cold tolerance identified, breeding efforts remain constrained by the lack of precise molecular markers. In this study, we analyzed 529 accessions from the 3K Rice Genomic Diversity Panel to investigate genetic variations in OsCTS11, a known negative regulator of cold tolerance in rice seedlings. Linkage disequilibrium (LD) analysis identified three critical LD blocks (BLOCK1-3) within OsCTS11, each containing four distinct haplotypes. Association analysis revealed that Hap4 in BLOCK1, Hap3 in BLOCK2, and Hap4 in BLOCK3 significantly increased seedling survival rates to 65.38%, 58.41%, and 51.48% respectively, predominantly in japonica subspecies. These beneficial haplotypes demonstrated adaptation to temperate zones (30\u0026deg;-40\u0026deg;N) and tropical highlands (800\u0026ndash;1500 m elevation), consistent with the evolutionary progression of cold tolerance in japonica rice. The utility of KASP molecular markers based on SNP sites was validated through this study. Among 42 rice varieties screened, indica R676 and japonica Nangeng 5718, both possessing dominant haplotypes, exhibited higher survival rates compared to varieties lacking these haplotypes. Marker-assisted backcrossing facilitated the development of four novel cold-tolerant germplasms (YR05-YR08) incorporating advantageous OsCTS11 haplotypes. Notably, YR08 (Hap4\u0026thinsp;+\u0026thinsp;Hap3\u0026thinsp;+\u0026thinsp;Hap4) showed significantly improved seedling establishment under cold stress, illustrating the synergistic benefits of stacked haplotypes. This research underscores the potential of leveraging natural variation haplotypes to create precise molecular markers for identifying beneficial OsCTS11 haplotypes, providing a novel approach to exploiting negative regulatory genes in rice breeding programs.\u003c/p\u003e","manuscriptTitle":"Haplotype analysis and molecular marker development for the cold tolerance gene OsCTS11 at the seedling stage of rice","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-09-15 08:43:03","doi":"10.21203/rs.3.rs-7329320/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"reviewerAgreed","content":"","date":"2025-09-08T13:31:03+00:00","index":0,"fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-09-08T09:23:11+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-08-12T14:54:56+00:00","index":"","fulltext":""},{"type":"submitted","content":"Theoretical and Applied Genetics","date":"2025-08-09T04:21:45+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"theoretical-and-applied-genetics","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"taag","sideBox":"Learn more about [Theoretical and Applied Genetics](https://www.springer.com/journal/122)","snPcode":"122","submissionUrl":"https://submission.nature.com/new-submission/122/3","title":"Theoretical and Applied Genetics","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"f5be42e3-b5a6-4b03-bb4c-ac564c278cb5","owner":[],"postedDate":"September 15th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2025-12-08T15:59:49+00:00","versionOfRecord":{"articleIdentity":"rs-7329320","link":"https://doi.org/10.1007/s00122-025-05071-y","journal":{"identity":"theoretical-and-applied-genetics","isVorOnly":false,"title":"Theoretical and Applied Genetics"},"publishedOn":"2025-12-01 15:57:11","publishedOnDateReadable":"December 1st, 2025"},"versionCreatedAt":"2025-09-15 08:43:03","video":"","vorDoi":"10.1007/s00122-025-05071-y","vorDoiUrl":"https://doi.org/10.1007/s00122-025-05071-y","workflowStages":[]},"version":"v1","identity":"rs-7329320","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7329320","identity":"rs-7329320","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}