Genome-wide identification and expression analysis of the GRAS transcription factor family and its expression profiles in Elymus sibiricus

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GRAS transcription factors play a pivotal role in regulating plant growth, development, and responses to abiotic stress. Although the GRAS gene family has been identified in various plant species, its identification and function in E. sibiricus remain largely unexplored. Result: A comprehensive genome-wide analysis Identified a total of 130 EsGRAS genes in E. sibiricus . Comprehensive analyses, including chromosomal distribution, gene structure, conserved motifs, cis-acting regulatory elements and evolutionary relationships, were conducted. Protein-protein interaction network analysis predicted that GID1, GA2OX, GA3OX, PAT1, PHYA, and NSP2 may serve as central nodes in GRAS -mediated regulatory pathways. Expression profiling revealed that most EsGRAS geneswere highly expressed in seedling tissues. Additionally, multiple EsGRAS genes showed differential expression in response to salt, drought, ABA, and GA treatments, indicating their potential involvement in abiotic stress tolerance. Conclusion: The study systematically characterized the GRAS gene family in E. sibiricus . Identifying 130 members and revealing their diverse structural features and expression patterns. Notably, EsGRAS128 , EsGRAS90 , EsGRAS95 , and EsGRAS113 genes exhibited both constitutive expression and strong responsiveness under multiple abiotic stresses, suggesting their potential regulatory roles. These findings provide a foundation for understanding the genetic evolution and biological functions of the GRAS gene family in E. sibiricus , for further functional studies and may facilitate molecular breeding strategies to enhance stress resilience in E. sibiricus and related forage species. E. sibiricus GRAS gene family evolutionary relationships gene expression abiotic stress Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 1. Introduction GRAS genes constitute a plant-specific transcription factor family that plays essential roles in regulating plant growth, development, signaling pathways, and responses to environmental stimuli [ 1 ]. The acronym GRAS is derived from the first identified members: GAI (Gibberellic Acid Insensitivity), RGA (Repressor of GA1-3 mutant), and SCR (Scarecrow), whose encoded proteins are involved in diverse physiological processed across plant species [ 2 ]. GRAS proteins typically consist of 400–770 amino acids and are characterized by a highly conserved C-terminal region containing five typical motifs: LHRI, VHIID, LHRII, PFYRE, and SAW. Among them, the VHIID domain is crucial for mediating protein-protein interactions, while the variable N-terminal region contributes to functional diversification within the family [ 3 ]. Phylogenetic analysis in Arabidopsis thaliana categorized GRAS proteins into eight subfamilies — DELLA, SCR, and HAM-with subsequent studies identifying additional groups such as DLT and SCL4/7 [ 4 ]. Functionally, GRAS transcription factors are involved in multiple developmental pathways, including gibberellin signal, root architecture formation, meristem development, and leaf patterning [ 5 – 8 ]. Of particular importance, members of the DELLA subfamily act as serve central repressors in the gibberellin signaling pathway, modulating plant growth in response to hormonal cues [ 9 ]. In A. thaliana , DELLA proteins—including GAI, RGA, and RGL1-3—function as key negative regulators of gibberellin (GA) signaling. These proteins interact with the GA receptor GID1 to form complexes that are subsequently degraded by the 26S proteasome. This degradation alleviates the repressive effects of DELLA proteins on GA-responsive genes, thereby facilitating plant growth and development [ 10 ]. Members of the PAT1 subfamily are involved in phytochrome A-mediated light signaling and contribute to growth regulation under variable light conditions. In Vitis vinifera , PAT1-type GRAS proteins also participate in cold stress responses by modulating jasmonic acid biosynthesis [ 11 ]. The SCR (Scarecrow) and SHR (Short Root) subfamilies are crucial for root radial patterning. SCR is predominantly expressed in endodermis/cortex initial cells, where it maintains stem cell homeostasis in the root apical meristem by suppressing cytokinin signaling and promoting mitotic activity [ 12 ]. Conversely, the SHR protein facilitates asymmetric cell division to establish ground tissues (endodermis and cortex) and promotes endodermis specification by regulating gene expression in asjacent cell layers. Additionally, SCL3 modulates cellular differentiation and elongation in root developmental zones [ 13 ]. Several orthologous genes— Ls (Lateral Suppressor) in tomato ( Solanum lycopersicum ), LAS (Lateral Suppressor) in A. thaliana , and MOC1 (Monoculm 1) in rice ( Oryza sativa )—collectively regulate axillary bud initiation and outgrowth [ 14 ]. In rice, OsSLR1 , a DELLA subfamily member - regulates culm elongation and tiller number by suppressing GA signaling. The osslr1 mutants displays slender culms and enhanced disease resistance. OsSLR1 also interacts with OsUDT1 to regulate tapetum-specific gene expression, which is critical for pollen wall development. In Liriodendron chinense , LcGRAS modulates plant development by regulating the expression of cell proliferation-related genes such as OsmiR396a / OsGRFs [ 15 ]. In rice, DELLA proteins govern growth and development via the GA signaling pathway [ 16 ]. Overall, DELLA proteins serve as key modulators of phytohormone signaling, contributing to the regulation of plant architecture, including height, leaf morphogenesis, and reproductive development. GRAS gene family coordinates plant growth, development, and stress resilience by integrating phytohormone signaling pathways, tissue morphogenesis, and adaptive responses to environmental stimuli [ 17 ]. Under salt stress conditions, the GRAS transcription factors modulate key hormonal pathways, particularly those involving gibberellin (GA) and abscisic acid (ABA), to enhance stress resilience. For instance, in Populus euphratica , PeSCL7 expression is induced by salt treatment, and its overexpression improves salt tolerance in transgenic A. thaliana plants [ 18 ]. In Ricinus communis (castor bean), salt stress upregulates RcGRAS14 , RcGRAS21 , and RcGRAS35 , while suppressing RcGRAS1 and RcGRAS10 expression [ 19 ]. These findings suggest that GRAS genes may confer salt tolerance by modulating root growth and development and, thereby enhancing water and nutrient acquisition. In A. thaliana , the SCL3 subfamily integrates multiple signaling cues during root cell elongation to ensure the proper functioning of the GA pathway and modulate cellular expansion [ 20 ]. Overexpression of SlGRAS40 leads toelevated accumulation of proline and soluble sugars under drought stress, contributing to osmotic homeostasismaintaining and improved stress tolerance in Solanum lycopersicum [ 21 ]. Similarly, in Liriodendron chinense , members of the LcPAT subfamily (e.g., PAT3, PAT4, PAT5) are significantly upregulated after 24 hours of drought treatment, potentially functioning through the induction of cold-regulated (COR) proteins [ 22 ]. GRAS genes also interact with broader transcriptional networks to confer drought resistance. For example, in Potato ( Solanum tuberosum ), StNAC053 enhances drought resistance by upregulating DREB (Dehydration-Responsive Element Binding) and NAC (NAM/ATAF/CUC) transcription factors [ 23 ]. In A. thaliana , and major cereal crops, DELLA proteins including GAI, RGA, RGL2, SLR1, and Rht-B1/Rht-D1 serve as central repressors within the GA signaling pathway, balancing growth with stress defense [ 24 ]. Concurrently, the SCR subfamily member OsGRAS32 in rice has been identified as a key regulator of GA metabolism and plays aa role in developmental processes under stress conditions [ 25 ]. The GRAS gene family is also implicated in ABA signaling, potentially modulates key components such as PYR/PYL/RCAR receptors, PP2C phosphatases, SnRK2 kinases, and ABF/AREB transcription factors, thereby regulating plant growth and stress responses. For example, overexpression of BrLAS in A. thaliana significantly enhances drought tolerance, likely through ABA-mediated pathways [ 26 ]. Furthermore, ABA-signaling transcription factors such as ABF/AREB bind to ABA-responsive elements (ABREs), thereby activating the activating the expression of stress-responsive genes [ 27 ]. E. sibiricus , a heterologous tetraploid plant, is widely distributed across the Eurasian continent and is characterized by remarkable genetic diversity and strong ecological adaptability [ 28 ]. It holds significant value for the establishment of high-yield artificial grasslands, especially in regions such as the Tibetan Plateau and the Northern China. Moreover, E. sibiricus significantly contributes to the restoration and improvement of natural grasslands, thereby enhancing ecological quality and increasing grassland productivity [ 29 ]. Its high yield and resilience to environmental stresses make it an ideal forage species for promoting sustainable livestock production and grassland ecological restoration. Recently, the reference genome of E. Sibiricus was published, facilitated a deeper understanding of its genetic composition and evolutionary history through comprehensive genome-wide and population genomic analyses [ 30 , 31 ]. This high-quality genomic resource provides a solid scientific foundation for future breeding programs, germplasm improvement, and practical applications, advancing the utilization and development of this important forage crop. In this study, a systematic genome-wide identification and characterization of GRAS transcription factor genes ( EsGRAS ) was conducted in E. Sibiricus based on its reference genome. A total of 130 EsGRAS genes were identified and analyzed for their chromosomal distribution, gene duplication events, cis-regulatory elements, gene structures, and conserved motifs. Phylogenetic analysis revealed evolutionary relationships between E. Sibiricus EsGRAS proteins and GRAS homologs from A. thaliana , O. sativa , Triticum aestivum , and Brachypodium distachyon . Additionally, expression profiles across various tissues in seedlings and mature plants, as well as under four abiotic stress conditions, provided insights into the functional diversity of EsGRAS genes. This systematic analysis demonstrates the potential regulatory roles of EsGRAS genes in growth, development and stress responses in E. Sibiricus , and offers a valuable genomic resource for future research on this species. 2. Material and methods 2.1 Identification and chromosomal localization of E. sibiricus GRAS genes The genomic data for E. sibiricus was obtained from Scientific Data ( https://www.nature.com/articles/s41597-024-03622-4 provided on January 6, 2025) [ 31 ]. GRAS protein sequences of A. thaliana were retrieved from the TAIR database ( http://www.arabidopsis.org/ ). To identifiy EsGRAS genes, BLASTp searches were performed in TBtools using AtGRAS sequences as queries. Additionally, conserved domain analysis was conducted using the CDD-Search database ( https://www.ncbi.nlm.nih.gov/Structure/bwrpsb/bwrpsb.cgi ), and additional domain confirmation was carried out through the InterPro database ( https://www.ebi.ac.uk/interpro/ ), allowing differentiation between GRAS-domain and non-GRAS-domain proteins. Pfam model files were downloaded from the Pfam database ( https://www.ebi.ac.uk/interpro/download/Pfam/ ) and used to further confirm the presence of GRAS domains (PF03541) within the candidate sequences using TBtools. The chromosomal positions of the identified EsGRAS genes was determained based on E. sibiricus genome annotation data. Physicochemical properties of the EsGRAS proteins, including amino acid length, molecular weight (MW), isoelectric point (PI), instability index, aliphatic index, average hydrophobicity (GRAVY), and predicted subcellular localization, were analyzed using the ExPASy protParam tool ( http://web.expasy.org/ ). 2.2 Phylogenetic analysis of the EsGRAS gene family GRAS amino acids sequences were obtained from multiple databases for A. thaliana , O. sativa , B. distachyon , and T. aestivum . These sequences were obtained from TAIR (The A. thaliana Information Resource), the Rice Genome Annotation Project, the Sol Genomics Network, and GIGADB (Genomic Data Commons for Agriculture http://www.gigadb.org .) To investigate the evolutionary relationships among the EsGRAS gene family members, a comprehensive phylogenetic tree was constructed. For further functional analysis, additional GRAS amino acid sequences from the same species were retrieves from NCBI (National Center for Biotechnology Information https://www.ncbi.nlm.nih.gov/ ), Pear MODB (a molecular database for plant sequences http://www.plantgdb.org/ ), Plant TFDB (a comprehensive database for plant transcription factors http://planttfdb.gao-lab.org/ ), and TAIR. The phylogenetic tree was generated using the Neighbor-Joining (NJ) method in MEGA 11.0 with 1,000 bootstrap replications to assess the reliability of the branches. The resulting tree was then visualized using the iTOL online platform ( http://itol.embl.de/ ) to generate a clear and interactive display of phylogenetic relationships. 2.3 Gene structure and multiple sequence alignment analysis Motif analysis of the EsGRAS proteins was conducted using the MEME tool ( http://meme-suite.org/tools/meme ) as previously described [ 32 ], resulting in the identification of 8 conserved motifs. Additionally, the gene structures, including eron-intron organization and conserved domain distribution of EsGRAS family members, were analyzed using TBtools to gain a comprehensive understanding of their structural features. 2.4 Gene duplication and synteny analysis of the EsGRAS gene family The chromosomal location and mapping information for the EsGRAS gene family members were obtained from the E. sibiricus genome annotation file (GFF3 format) using TBtools. Gene distribution across chromosomes was visualized as described by Chen et al [ 33 ]. To investigate syntenic relationships, the genonmic sequences of A. thaliana and T. aestivum were downloaded from the Phytozome database ( https://phytozome-next.jgi.doe.gov/ ). Synteny analysis was then performed using the One Step MCScanX function in TBtools, comparing E. sibiricus with A. thaliana and wheat. Analysis parameters were set to 4 blast hits with an E-value threshold of 1e-10 to ensure accuracy and reliability. 2.5 Identification of cis-acting regulatory elements in the promoters and prediction of protein-protein interactions To investigate the potential functions and expression regulation mechanisms of the EsGRAS genes, the 2000 bp upstream promoter sequences of these genes were extracted and uploaded to NCBI. The PlantCARE database (accessed on January 8, 2025, http://bioinformatics.psb.ugent.be/webtools/plantcare/html/ ) and TBtools were used for visualization [ 34 ]. Protein-protein interaction predictions were carried out using the online STRING database (accessed on January 9, 2025, https://cn.string-db.org/ ). Interaction protein information was retrieved from UniProt ( https://www.uniprot.org/ , accessed on January 10, 2025). 2.6 Growth conditions and stress treatments Plant materials of E. sibiricus used in this experiment were provided by the College of Animal Science and Veterinary Medicine at Qinghai University, China. Seedlings were cultivated under controlled condition in an artificial climate chamber at the Institute of Animal Science of the Chinese Academy of Agricultural Sciences in Beijing, China. Hydroponically grown seedlings were maintained under a 16 hours light/8 h dark photoperiod, with day/night temperature of 25°/21°C, a light intensity of 250 µmol photons·m − 2 ·s − 1 , and a relative humidity of 70%. For abiotic stress treatments, two- week- old seedlings were subjected to salt (200 mM NaCl), drought (20% PEG6000), abscisic acid (ABA, 0.1 mM), and gibberellin (GA, 0.1 mM).Samples were collected at 8 time points: 0 h, 3 h, 6 h, 12 h, 24 h, 48 h, 72 h, and 100 h. All treatments included three biological replicates. To investigate gene expression patterns across tissues, roots, stems, leaves, and spikes were collected at the heading stage. Additionally, seeds, young roots and two- weeks-old seedlings were sampled for expression analysis. All samples were collected in triplicate ensure experimental reliability. The expression data was visualized using Amazing Heat Map software to generate heatmaps illustrating expression profiles under different conditions. 2.7 Total RNA extraction and qPCR analysis Total RNA was extracted utilizing the Trizol reagent (Invitrogen, Carlsbad, CA, USA), following the manufacturer's prescribed protocol. Subsequently, genomic DNA contamination was eliminated through DNase digestion employing the services of Promega (Madison, WI, USA). The synthesis of the first-strand cDNA was accomplished using M-MLV reverse transcriptase (also provided by promega) with 1 µg of the total RNA as a template. RT-qPCR analysis was performed on the CFX96 Touch™ Real-Time PCR Detection System from Bio-Rad (Hercules, CA, USA). The PCR amplification parameters were set as: an initial denaturation at 95°C for 2 minutes, followed by 40 cycles of denaturation at 95°C for 15 seconds and annealing/extension at 60°C for 40 seconds. A final cycle consisted of denaturation at 95°C for 15 seconds and annealing/extension at 60°C for 15 seconds. The alfalfa actin gene was utilized as the internal reference, and relative gene expression was analyzed using the 2^-∆∆Ct methodology. All experimental procedures were repeated with three biological replicates and three technical replicates to ensure reliability. Primer design was done using Primer 5.0 software for accurate and consistent results. 2.8 Data analysis The statistical analysis was conducted utilizing the one-way analysis of variance (ANOVA) within the SPSS software version 23.0. The data was presented in the form of mean values accompanied by their corresponding standard deviations. Graphs were created and thoroughly analyzed using GraphPad Prism 10.1.1 software. Any observed differences were deemed statistically significant when the P-value was below 0.05. 3. Results 3.1 Genome-wide identification of the GRAS gene family in E. sibiricus Atotal of 130 candidate EsGRAS genes were identified in the E. sibiricus genome using comparative genomics techniques [ 31 ]. These genes were named according to their sequence homology with A. thaliana GRAS proteins. The key characteristics of the EsGRAS gene family —including TIGR loci, chromosomal locations, coding sequence lengths, molecular weights, theoretical isoelectric points, instability indices, aliphatic indices, and the hydrophilicity—are summarized in Table 1 . The lengths of EsGRAS proteins vary substantially, ranging from 104 to 1,457 amino acid residues, with molecular weight spanning from 12.07kD to 163.40kDa. The theoretical isoelectric points (pI) value range from 4.75 to 9.43, while instability indices vary between 30.90 and 71.21, indicating that the thermal stability range of these proteins in vitro. Furthermore, the aliphatic index ranges from 64.05 to 105.80, reflecting variation in thermostability. Most EsGRAS proteins have negative GRAVY (Grand Average of Hydropathy) scores, indicating a predominantly hydrophilic nature, However, several members (e.g., EsGRAS1, EsGRAS10, EsGRAS12, EsGRAS17, EsGRAS28, EsGRAS29, EsGRAS30, EsGRAS32, EsGRAS33, EsGRAS34, EsGRAS38, EsGRAS41, EsGRAS80, EsGRAS92, EsGRAS93 , and EsGRAS100 ) exhibit positive GRAVY scores, indicating hydrophobicity. Subcellular localization predictions revealed that the majority of EsGRAS members are localized to the nucleus, cytoplasmic, and chloroplast, while a minority are predicted to localize to theperoxisome, mitochondrial, cytoskeleton, endoplasmic reticulum, or extracellular space. Table 1 List and detailed information of identified GRAS genes in E.sibiricus . Gene Name Gene ID Chr CDS Length Pep Length Molecular Weight(kDa) Theoretical pI Instability Index Aliphatic Index Grand Average of Hydropathicity Subcellular localization prediction EsGRAS1 evm.model.Chr01.7082 1 1377 458 49,656.73 5.38 36.95 93.14 0.09 Chloroplast EsGRAS2 evm.model.Chr01.7190 1 1794 597 64,089.63 5.58 63.19 64.37 -0.41 Nuclear EsGRAS3 evm.model.Chr01.7423 1 1674 557 61,462.41 5.84 47.64 77.59 -0.35 Chloroplast EsGRAS4 evm.model.Chr01.7755 1 1311 436 47,820.45 6.16 54.79 91.61 -0.19 Nuclear EsGRAS5 evm.model.Chr01.8450 1 1713 570 64,265.05 5.94 40.42 83.53 -0.44 Cytoplasmic EsGRAS6 evm.model.Chr01.18120 1 1893 630 66,501.02 6.29 51.54 85.48 -0.14 Nuclear EsGRAS7 evm.model.Chr01.19209 1 1500 499 52,711.86 5.48 37.98 80.90 -0.25 Nuclear EsGRAS8 evm.model.Chr01.20585 1 1536 511 54,059.03 6.41 51.76 84.36 -0.15 Nuclear EsGRAS9 evm.model.Chr01.22082 1 1452 483 52,884.66 6.00 40.54 98.28 -0.05 Mitochondrial EsGRAS10 evm.model.Chr01.22106 1 1401 466 50,724.47 6.28 43.39 95.41 0.06 Chloroplast EsGRAS11 evm.model.Chr02.4465 2 2142 713 77,164.08 6.03 60.66 78.53 -0.25 Nuclear EsGRAS12 evm.model.Chr02.7906 2 1380 459 49,652.70 5.44 38.36 92.09 0.09 Chloroplast EsGRAS13 evm.model.Chr02.7979 2 1794 597 63,939.47 5.58 62.44 64.05 -0.40 Nuclear EsGRAS14 evm.model.Chr02.8105 2 1665 554 61,260.37 5.97 47.65 78.72 -0.34 Chloroplast EsGRAS15 evm.model.Chr02.8519 2 1311 436 47,604.31 6.50 50.87 93.44 -0.17 Cytoplasmic EsGRAS16 evm.model.Chr02.8983 2 1713 570 64,363.03 5.98 40.78 82.33 -0.47 Cytoplasmic EsGRAS17 evm.model.Chr02.17520 2 1251 416 45,472.07 5.93 49.23 97.04 0.02 Cytoplasmic EsGRAS18 evm.model.Chr02.19199 2 2145 714 75,247.41 6.78 53.15 88.85 -0.06 Chloroplast EsGRAS19 evm.model.Chr02.20403 2 1521 506 53,973.08 6.93 55.35 83.85 -0.16 Nuclear EsGRAS20 evm.model.Chr02.21979 2 1429 475 52,511.29 6.07 42.90 99.31 -0.02 Cytoplasmic EsGRAS21 evm.model.Chr02.21980 2 1113 370 41,061.08 6.32 47.09 95.54 -0.14 Cytoplasmic EsGRAS22 evm.model.Chr02.21995 2 1464 487 53,347.00 5.66 44.69 91.48 -0.06 Cytoplasmic EsGRAS23 evm.model.Chr02.21996 2 1464 487 53,347.00 5.66 44.69 91.48 -0.06 Cytoplasmic EsGRAS24 evm.model.Chr02.21999 2 1737 578 62,525.29 6.19 46.18 85.19 -0.11 Mitochondrial EsGRAS25 evm.model.Chr03.2227 3 2280 759 86,455.02 8.33 46.12 74.22 -0.53 Nuclear EsGRAS26 evm.model.Chr03.2230 3 1689 562 63,805.31 5.97 48.01 81.25 -0.41 Cytoplasmic EsGRAS27 evm.model.Chr03.2232 3 2373 790 89,478.48 9.43 65.35 82.01 -0.52 Nuclear EsGRAS28 evm.model.Chr03.11804 3 1866 621 65,087.02 5.96 53.43 82.05 0.02 Cytoplasmic EsGRAS29 evm.model.Chr03.14314 3 675 224 24,328.38 7.76 41.66 105.80 0.39 Cytoplasmic EsGRAS30 evm.model.Chr03.14850 3 1428 475 50,325.14 5.87 46.97 85.31 0.05 Peroxisome EsGRAS31 evm.model.Chr03.15332 3 1248 415 44,525.58 6.03 48.51 87.25 -0.11 Cytoplasmic EsGRAS32 evm.model.Chr03.17157 3 696 231 25,171.91 6.23 40.18 88.31 0.10 Chloroplast EsGRAS33 evm.model.Chr03.17158 3 943 313 32,651.78 6.10 39.87 81.69 0.00 Chloroplast EsGRAS34 evm.model.Chr03.18852 3 1461 486 51,260.26 6.06 41.36 83.93 0.08 Nuclear EsGRAS35 evm.model.Chr04.2319 4 2148 715 81,129.01 7.30 48.75 79.44 -0.48 Nuclear EsGRAS36 evm.model.Chr04.2320 4 2355 784 88,747.40 8.74 51.09 82.90 -0.38 Nuclear EsGRAS37 evm.model.Chr04.2324 4 1503 500 57,455.36 9.40 51.31 82.74 -0.41 Cytoplasmic EsGRAS38 evm.model.Chr04.11750 4 1863 620 64,885.86 5.93 52.12 80.94 0.02 Nuclear EsGRAS39 evm.model.Chr04.14998 4 1473 490 51,989.91 5.94 48.47 82.49 -0.01 Peroxisome EsGRAS40 evm.model.Chr04.15498 4 1239 412 44,196.20 6.02 46.59 87.65 -0.10 Cytoplasmic EsGRAS41 evm.model.Chr04.19365 4 1479 492 51,927.15 5.62 42.37 85.87 0.12 Nuclear EsGRAS42 evm.model.Chr05.11883 5 1500 502 52,942.52 5.16 45.91 82.21 -0.01 Nuclear EsGRAS43 evm.model.Chr05.21261 5 2175 724 81,837.56 8.92 46.24 83.77 -0.45 Nuclear EsGRAS44 evm.model.Chr05.21264 5 1584 527 60,440.33 5.38 42.12 76.57 -0.56 Nuclear EsGRAS45 evm.model.Chr05.2854 5 1353 450 48,994.71 6.22 53.11 90.84 -0.12 Nuclear EsGRAS46 evm.model.Chr05.5649 5 1659 552 61,424.07 4.75 39.69 78.17 -0.29 Nuclear EsGRAS47 evm.model.Chr05.6228 5 1551 516 56,257.77 5.62 45.15 79.50 -0.18 Cytoplasmic EsGRAS48 evm.model.Chr05.6232 5 1551 516 55,965.61 5.89 42.67 84.22 -0.12 Cytoplasmic EsGRAS49 evm.model.Chr05.7172.2 5 2688 895 97,685.54 6.01 51.46 77.37 -0.34 Nuclear EsGRAS50 evm.model.Chr06.1025 6 1440 479 54,062.67 6.56 37.50 82.92 -0.43 Cytoplasmic EsGRAS51 evm.model.Chr06.3708 6 1590 529 57,699.75 6.45 52.19 90.40 -0.13 Chloroplast EsGRAS52 evm.model.Chr06.6611 6 1659 552 61,335.92 4.75 38.69 77.81 -0.28 Nuclear EsGRAS53 evm.model.Chr06.7185 6 1551 516 56,200.88 5.70 47.19 81.76 -0.13 Nuclear EsGRAS54 evm.model.Chr06.7186 6 1548 515 55,930.49 5.90 42.85 83.05 -0.15 Cytoplasmic EsGRAS55 evm.model.Chr06.8224 6 2445 814 89,266.95 5.63 50.15 76.66 -0.32 Nuclear EsGRAS56 evm.model.Chr06.20965 6 1848 616 69,787.53 8.42 47.23 80.10 -0.49 Nuclear EsGRAS57 evm.model.Chr06.20966 6 1497 498 57,418.28 5.81 38.20 86.85 -0.52 Cytoplasmic EsGRAS58 evm.model.Chr06.20967 6 2124 707 80,343.45 7.23 42.91 83.03 -0.44 Nuclear EsGRAS59 evm.model.Chr07.301 7 492 163 17,775.59 5.71 59.82 101.23 -0.09 Extracellular EsGRAS60 evm.model.Chr07.302 7 840 279 31,555.91 6.51 38.73 90.82 -0.16 cytoskeleton EsGRAS61 evm.model.Chr07.310 7 864 287 31,435.22 5.08 54.96 78.22 -0.42 Cytoplasmic EsGRAS62 evm.model.Chr07.792 7 1629 542 57,453.04 5.83 71.21 81.66 -0.19 Chloroplast EsGRAS63 evm.model.Chr07.2436 7 1866 621 65,669.57 6.23 49.29 74.35 -0.25 Chloroplast EsGRAS64 evm.model.Chr07.6241 7 2226 741 81,381.48 5.05 41.97 72.75 -0.42 Chloroplast EsGRAS65 evm.model.Chr07.17266 7 1281 426 45,104.05 6.51 45.11 92.28 -0.01 Nuclear EsGRAS66 evm.model.Chr08.538 8 768 255 28,993.13 6.54 47.96 91.02 -0.30 Cytoplasmic EsGRAS67 evm.model.Chr08.539 8 315 104 12,074.99 7.83 30.90 88.08 -0.30 Cytoplasmic EsGRAS68 evm.model.Chr08.797 8 1626 541 56,840.37 5.97 64.64 83.84 -0.09 Chloroplast EsGRAS69 evm.model.Chr08.2682 8 1872 623 65,848.93 6.16 45.14 74.43 -0.22 Chloroplast EsGRAS70 evm.model.Chr08.6673 8 2202 733 80,848.92 5.08 43.98 73.41 -0.43 Chloroplast EsGRAS71 evm.model.Chr08.16445 8 1281 426 45,121.13 6.93 45.18 92.51 -0.02 Nuclear EsGRAS72 evm.model.Chr09.687 9 1842 613 68,589.89 6.84 33.90 78.94 -0.44 Cytoplasmic EsGRAS73 evm.model.Chr09.4174 9 2235 744 81,957.41 5.37 50.29 78.17 -0.41 Cytoplasmic EsGRAS74 evm.model.Chr09.7976 9 1688 555 61,090.27 7.34 54.21 80.13 -0.29 Mitochondrial EsGRAS75 evm.model.Chr09.8244 9 2331 776 87,199.61 6.76 50.86 79.43 -0.47 Nuclear EsGRAS76 evm.model.Chr09.8603 9 1944 647 69,098.49 6.09 57.06 89.00 -0.13 Chloroplast EsGRAS77 evm.model.Chr09.15553 9 2619 872 99,598.47 9.21 48.73 68.76 -0.80 Cytoplasmic EsGRAS78 evm.model.Chr09.15558 9 2154 717 80,081.80 6.03 40.40 100.54 -0.04 Cytoplasmic EsGRAS79 evm.model.Chr09.18506 9 1653 550 61,014.79 5.78 48.64 83.00 -0.27 Nuclear EsGRAS80 evm.model.Chr09.20602 9 762 253 26,684.72 8.81 54.37 86.48 0.15 Cytoplasmic EsGRAS81 evm.model.Chr09.21006 9 2238 745 83,316.41 8.06 55.23 74.16 -0.50 Nuclear EsGRAS82 evm.model.Chr09.23497 9 1938 645 72,684.22 6.21 52.11 78.82 -0.33 Cytoplasmic EsGRAS83 evm.model.Chr10.4059 10 2232 743 81,921.31 5.26 51.54 78.02 -0.43 Cytoplasmic EsGRAS84 evm.model.Chr10.8058 10 1533 510 55,925.26 6.75 53.32 81.47 -0.26 Nuclear EsGRAS85 evm.model.Chr10.8198 10 2332 777 87,100.55 7.06 52.21 78.58 -0.48 Nuclear EsGRAS86 evm.model.Chr10.8413 10 1947 648 69,326.70 6.12 56.99 88.84 -0.14 Chloroplast EsGRAS87 evm.model.Chr10.15554 10 3745 1247 140,279.68 7.85 43.14 94.60 -0.18 Nuclear EsGRAS88 evm.model.Chr10.15580 10 4374 1457 163,397.12 6.91 41.48 96.62 -0.09 Cytoplasmic EsGRAS89 evm.model.Chr10.18541 10 1650 549 60,790.65 5.75 48.66 84.23 -0.25 Nuclear EsGRAS90 evm.model.Chr10.21058 10 1938 645 71,993.53 6.03 53.78 77.33 -0.36 Nuclear EsGRAS91 evm.model.Chr11.13918 11 2124 707 73,958.89 5.96 48.86 85.19 -0.02 Nuclear EsGRAS92 evm.model.Chr11.7841 11 1188 395 41,432.86 5.45 48.85 91.16 0.03 Cytoplasmic EsGRAS93 evm.model.Chr12.7936 12 1194 397 41,756.17 5.51 47.25 89.72 0.00 Cytoplasmic EsGRAS94 evm.model.Chr12.14920 12 1689 562 59,783.11 5.13 43.47 76.09 -0.15 Nuclear EsGRAS95 evm.model.Chr12.17171 12 1590 529 58,652.87 5.76 51.21 79.85 -0.28 Nuclear EsGRAS96 evm.model.Chr12.20835 12 1902 633 67,251.31 6.03 50.67 85.85 -0.11 Chloroplast EsGRAS97 evm.model.Chr12.20909 12 3210 1069 119,747.38 5.69 50.83 70.16 -0.53 Nuclear EsGRAS98 evm.model.Chr13.1397 13 1954 617 64,950.90 5.00 51.31 78.40 -0.15 Nuclear EsGRAS99 evm.model.Chr13.1772 13 1662 553 59,140.81 4.91 51.88 84.07 -0.03 Chloroplast EsGRAS100 evm.model.Chr13.4018 13 1422 473 52,081.01 5.00 42.84 89.51 0.00 Nuclear EsGRAS101 evm.model.Chr13.4444 13 2034 677 72,099.74 5.94 58.15 89.76 -0.15 Nuclear EsGRAS102 evm.model.Chr13.4664 13 1386 461 51,964.96 6.85 49.29 95.66 -0.14 Cytoplasmic EsGRAS103 evm.model.Chr13.5327 13 2433 810 89,069.16 5.94 41.10 71.00 -0.41 Peroxisome EsGRAS104 evm.model.Chr13.5332 13 2034 677 74,745.80 6.44 53.93 81.33 -0.40 Nuclear EsGRAS105 evm.model.Chr13.5347 13 2022 673 75,059.17 5.64 49.74 82.67 -0.38 Cytoplasmic EsGRAS106 evm.model.Chr13.5348 13 1794 597 67,243.38 5.98 41.45 79.43 -0.34 Cytoplasmic EsGRAS107 evm.model.Chr13.5349 13 1764 587 66,531.60 5.92 39.33 81.62 -0.38 Chloroplast EsGRAS108 evm.model.Chr13.5350 13 1908 635 71,239.02 5.25 38.95 81.28 -0.36 Cytoplasmic EsGRAS109 evm.model.Chr13.5351 13 1938 645 72,219.26 6.13 41.10 83.21 -0.31 Endoplasmic reticulum EsGRAS110 evm.model.Chr13.5363 13 1935 644 72,383.69 6.15 50.29 79.44 -0.35 Cytoplasmic EsGRAS111 evm.model.Chr13.5364 13 1791 596 67,695.12 6.61 44.43 78.56 -0.38 Cytoplasmic EsGRAS112 evm.model.Chr13.11647 13 2094 697 73,337.31 5.96 46.54 86.96 -0.02 Nuclear EsGRAS113 evm.model.Chr14.2718 14 1857 618 64,996.03 5.06 49.81 79.05 -0.13 Nuclear EsGRAS114 evm.model.Chr14.3195 14 1650 549 59,034.80 4.88 53.80 84.99 -0.03 Chloroplast EsGRAS115 evm.model.Chr14.5637 14 1356 451 49,492.96 5.07 44.52 89.76 -0.04 Cytoplasmic EsGRAS116 evm.model.Chr14.6237 14 2043 680 72,317.85 5.97 58.87 89.66 -0.17 Nuclear EsGRAS117 evm.model.Chr14.6412 14 1341 446 50,159.74 6.32 48.85 92.98 -0.18 Cytoplasmic EsGRAS118 evm.model.Chr14.6748 14 1791 596 67,580.02 6.73 43.74 80.37 -0.34 Cytoplasmic EsGRAS119 evm.model.Chr14.6749 14 1935 644 72,265.53 6.21 48.81 80.33 -0.32 Nuclear EsGRAS120 evm.model.Chr14.6760 14 1950 649 73,000.15 5.79 45.06 82.54 -0.32 Cytoplasmic EsGRAS121 evm.model.Chr14.6761 14 1059 352 40,175.16 8.47 43.50 81.73 -0.23 Chloroplast EsGRAS122 evm.model.Chr14.6762 14 1770 589 66,718.60 6.05 37.41 81.04 -0.41 Chloroplast EsGRAS123 evm.model.Chr14.6763 14 1767 588 66,323.40 5.63 41.52 79.47 -0.33 Cytoplasmic EsGRAS124 evm.model.Chr14.6764 14 1740 579 63,438.20 5.82 55.25 80.45 -0.28 Nuclear EsGRAS125 evm.model.Chr14.6765 14 2019 672 74,731.74 6.20 53.68 80.89 -0.42 Cytoplasmic EsGRAS126 evm.model.Chr14.6766 14 2445 814 89,284.53 5.97 39.52 70.76 -0.41 Peroxisome EsGRAS127 evm.model.Chr14.13211 14 1686 561 59,870.24 5.23 42.88 76.06 -0.18 Nuclear EsGRAS128 evm.model.Chr14.15240 14 1611 536 59,488.79 6.02 50.40 78.82 -0.33 Nuclear EsGRAS129 evm.model.Chr14.17606 14 1932 643 71,926.81 5.50 46.77 82.10 -0.28 Cytoplasmic EsGRAS130 evm.model.Chr14.18646 14 1917 638 67,437.57 5.98 51.00 87.19 -0.08 Cytoplasmic 3.2 Phylogenetic tree analysis of the GRAS gene family in E. sibiricus To explore the evolutionary relationships of GRAS proteins in E. sibiricus , a comprehensive phylogenetic analysis was conducted using GRAS protein sequences from four model plants speciesincluding A. thaliana , O. sativa, B. distachyon , and T. aestivum . (Fig. 1 ). To further explore the structural complexity of GRAS gene family, a Neighbor-Joining (NJ) phylogenetic tree was constructed based on protein sequences of 130 EsGRAS , 34 AtGRAS , 60 OsGRAS , 78 BdGRAS and 121 TaGRAST. The resulting phylogenetic tree classified these GRAS proteins into eleven distinct clades, revealing conserved and divergent evolutionary patterns across species. Notably, many EsGRAS members clustered closely with TaGRAS genes from wheat, indicating a strong co-evolutionary relationship between E. sibiricus and T. aestivum . Specifically, in the DELLA subfamily, for instance, EsGRAS7 , EsGRAS82 , and EsGRAS97 exhibit high sequence similarity with wheat GRAS genes, such as TaGRAS43 , TaGRAS18 , TaGRAS99 , and TaGRAS66 , suggesting potential conservation of function and evolutionary significance. Moreover, the analysis reveals a significant expansion of the GRAS gene family from lower to higher plants, likely driven by extensive gene duplication events. This expansion may have contributed to the evolutionary success of terrestrial plants by facilitating adaptive modifications in traits such as plant height in response to diverse environmental conditions [ 35 ]. 3.3 Gene structure analysis of the GRAS gene family in E. sibiricus To further investigate the functional diversity of GRAS -associated candidate genes in E. sibiricus , conserved motifs, domains, and gene structures were analyzed (Fig. 2 ). Motif analysis using the MEME Suite enabled the identification of conserved sequence elements associated with the GRAS domain. This approach facilitated the comprehensive assessment of the sequence conservation among homologous domains s, particularly in relation to the core GRAS region. Eight conserved motifs were detected across GRAS proteins, with Motif 8 showing the highest degree conservation. The PAT1 subfamily exhibited a relatively stable motif pattern, with most members displaying minimal motif loss. In contrast, other subfamily members displayed substantial variation, including the absence of specific motifs, which may underlie functional divergence among GRAS subgroups (Fig. 2 A). All EsGRAS -encoded proteins contain the conserved core GRAS domain (Fig. 2 B). Notably, several members possess additional functional domains: EsGRAS87 and EsGRAS88 contain additional Rx-N and NB-ARC domains; EsGRAS103 and EsGRAS126 contain an extra SSP160 domain; EsGRAS27 possess a Peptidase-C48 domain; EsGRAS38 contain a PHA03378 domain; EsGRAS77 contain a PLN02983 domain, EsGRAS78 possess an Rx-N domain, EsGRAS97 contain a PMD domain, and EsGRAS98 and EsGRAS113 ( both from the DELLA subfamily) harbor additional DELLA domains. Intron-exon structure analysis revealed that the number of introns among EsGRAS genes varies from 1 to 9, with a maximum of five exons oserved (Fig. 2 C). Collectively, these findings provide critical insights into the structural conservation and functional diversification of candidate GRAS genes in E. sibiricus. The presence of both conserved and subfamily-specific domains, and gene structures suggests their involvement in diverse biological processes, highlighting their evolutionary significance and regulatory potential. 3.4 Chromosomal location and synteny analysis The chromosomal distribution of EsGRAS genes in E. sibiricus was determined by mapping the open reading frames (ORFs) of all identified EsGRAS genes to the reference genome (Fig. 3 A). The EsGRAS genes were unevenly distributed across the 14 chromosomes. Specifically, chromosome 14 harbored the highest number of GRAS genes(18), followed by chromosome 13 with 15 genes, chromosome 2 with 14 genes, chromosome 9 with 11 genes, and chromosomes 1 and 3 (10 each). Chromosome 6 contained 9 genes, chromosomes 5 and 10 each had 8 genes. Chromosomes 4 and 7 contain 7 each, chromosome 8 had 6, chromosome 12 had 5 genes, and chromosome 11 had the fewest, with only 2 genes. Intraspecific synteny analysis identified 41 collinear gene pairs within E. sibiricus (Fig. 3 B), demonstrating that a large proportion of EsGRAS genes are organized in tandem arrays. This pattern is likely attributable to the allopolyploid nature of EsGRAS , which promotes the retention of duplicated gene srgments. To further elucidate the evolutionary relationships of the EsGRAS gene family, a comparative synteny map was constructed among A. thaliana , E. sibiricus , and T. aestivum (Fig. 3 C; Supplementary Fig. S1). Interestingly, E. sibiricus shares only one orthologous gene pairs with A. thaliana , whereas shares as many as 88 orthologous gene pairs with wheat. These results indicated a closer evolutionary relationship between E. sibiricus and T. aestivum , consistent with their shared evolutionary lineage and higher sequence similarity. 3.5 Protein-protein interaction network analysis of the GRAS gene family in E. sibiricus To explore the potential functional associations of EsGRAS proteins, a protein-protein interaction (PPI) network was constructed using STRING database. The analysis revealed a complex interaction landscape, suggesting that GRAS family proteins are involved in diverse biological processes, including plant hormone signaling, environmental stress responses, and developmental regulation (Fig. 4 ). The resulting network comprised 92 highly interconnected genes within the GRAS family. Structurally, the network was organized into concentric layers: the inner two circles contained four EsGRAS genes and nine indirectly associated genes/transcription factors; the third circle included four additional EsGRAS genes and 25 interacting genes; and the outermost layer contained 14 EsGRAS genes along with 36 indirectly interacting genes or transcription factors. the first and second circles encompass Key regulatory proteins such as GID1, GA2OX, GA3OX, PAT1, PHYA, and NSP2 were centrally positioned within the network, indicating their prominent roles in GRAS -mediated pathways. Transcription factors like SOC1 and MOC1 were also integrated into the the interaction network, further supporting the regulatory diversity of EsGRAS proteins. These findings suggest that EsGRAS genes and their interacting patners may share conserved domains that facilitate functional crosstalk and coregulation. Overall, this network analysis provides valuable insights into the functional roles and interaction dynamics of the GRAS gene family in E. sibiricus , offering a comprehensive perspective on their intricate interactions and roles in biological processes, laying a foundation for future functional genomics studies. 3.6 Identification of cis-acting regulatory elements in the promoters of the GRAS gene family in E.sibiricus Using Plant CARE database, cis-acting regulatory elements in 2000 bp upstream promoter regions of EsGRAS genes were identified. A total of 3,499 cis- elements were detected across the EsGRAS promoters (Fig. 5 B). Among them, 1,565 were associated with hormone response regulation (Fig. 5 C). Six types of hormone-responsive motifs were detected: abscisic acid responsive elements (ABRE), methyl jasmonate response elements (CGTCA-motif and TGACG-motif), salicylic acid response elements (TCA-element), and gibberellin response elements (P-box and GARE-motif). Additionally, various stress-responsive elements were identified including drought-inducible elements (MBS), low-temperature response elements (LTR), anaerobic response elements (ARE), and defense and stress response elements (TC-rich repeats) etc. These cis-acting regulatory elements were classified into four major categories: (1) environmental stress response elements, (2) hormone response elements, (3) development-related elements, and (4) light response elements (Fig. 5 B). Among the environmental stress response elements, AREs were the most abundant, accounting for 33.1% of the total. Within the hormone response category, ABRE motif were dominant, comprising 46.2%, followed by CGTCA-motif and TGACG-motif at 20.4% and 20.3%, respectively. For five development-related elements, the CAT-box element, linked to meristem expression, represented 52.8%, followed by the O2-site, a cis-element involved in zein metabolism regulation, at28.9%. For light-responsive elements, the G-box was the most prevalent (51.8%), followed by the Box-4 motif (15.1%) (Fig. 5 B). Notably, the distribution of cis-acting regulatory elements was gene-specific. For instance, EsGRAS94 contains highest number of environmental stress-response motifs, whereas EsGRAS51 and EsGRAS58 were enriched with hormone-responsive elements. EsGRAS111 , EsGRAS125 , and EsGRAS87 exhibited higher proportions of development-related elements. EsGRAS10 showed a notable enrichment in light-responsive elements (Fig. 5 C). This diverse distribution suggests functional specialization of EsGRAS genes in response to various environmental cues and developmental processes. 3.7 Tissue-specific expression of GRAS candidate genes in E. sibiricus To investigate the potential biological functions of GRAS candidate genes in different tissues of E. sibiricus , and to determine whether these genes serve as general regulators or participate in tissue-specific developmental pathways regulatory mechanisms, a comprehensive tissue-specific expression analysis was performed (Fig. 6 ). The results revealed distinct spatial expression patterns among various EsGRAS genes. For example, EsGRAS104 exhibited strong expression in root tissues, suggesting a possible role in root development or nutrient uptake. EsGRAS46 and EsGRAS77 showed high transcript level in stems, while EsGRAS117 demonstrated elevated expression in leaves, indicating involvement in aerial organ differentiation or photosynthetic regulation. A number of genes, including EsGRAS6, EsGRAS12, EsGRAS24, EsGRAS34, EsGRAS56 , EsGRAS57 , EsGRAS64 , EsGRAS78 , EsGRAS103 , EsGRAS116 , EsGRAS121 , and EsGRAS130 , displayed predominant expression levels in spike tissues, implicating them in reproductive development or floral morphogenesis. Notably, several EsGRAS members ( EsGRAS8, EsGRAS16, EsGRAS50, EsGRAS72, EsGRAS75 , and EsGRAS95 ) showed predominant expression in seedlings, highlighting their potential role during early growth stages. Similarly, EsGRAS14, EsGRAS41, EsGRAS71 , and EsGRAS74 were enriched in young roots, whereas EsGRAS4 , EsGRAS13, EsGRAS15, EsGRAS36, EsGRAS49, EsGRAS107 , and EsGRAS111 were highly expressed in seeds, suggesting involvement in seed development or dormancy regulation. Notably, consistent with observations in wheat and other cereal crops, most GRAS genes exhibited elevated expression in the seedling, indicated that GRAS family genes in E. sibiricus may play a conserved and crucial regulatory roles during plant early development stages. 3.8 Expression of GRAS candidate genes in E. sibiricus in response to salt, drought, ABA, and GA stress To assess the involvement of GRAS genes in the stress response, their expression profiles were examined under salt, drought, abscisic acid (ABA), and gibberellin (GA) treatments. Two-week-old E. sibiricus plants were hydroponically treated with 200 mM NaCl (salt stress), 20% PEG6000 (drought stress), 0.1 mM abscisic acid (ABA), or 0.1 mM GA for up to 100 hours. Samples were collected at 3, 6, 12, 24, 48, 72, and 100 hours post-treatment. For each treatment and time point, three biological replicates were analyzed using qRT-PCR technology to quatify gene expression dynamics. Under salt stress condition, the majority of GRAS genes exhibited a gradual downregulation trend over time. However, a subset of genes— EsGRAS5 , EsGRAS11 , EsGRAS37 , EsGRAS98 , and EsGRAS114 —initially showed increased expression, followed by a decline. Notably, EsGRAS5 , EsGRAS11 , and EsGRAS37 , all members of the SHR subfamily, displayed a consistent expression pattern during salt stress, suggesting a shared regulatory mechanism. Among these, EsGRAS128 exhibited the most pronounced induction, with expression levels increasing up to 4.8-fold (Fig. 7 ), indicating its potential role as a positive regulator in salt stress responses and represents a promising candidate for future studies on salt adaptation mechanisms. Drought stress elicited a distinct expression pattern, with many GRAS genes displayed early upregulation followed by a progressive decline. Specifically, Genes such as EsGRAS37 , EsGRAS45 , EsGRAS80 , EsGRAS111 , EsGRAS128 , EsGRAS90 , and EsGRAS95 were significantly induced during the early stages of drought exposure. Particularly, EsGREAS90 and EsGRAS95 showed substantial expression increases, reaching 8.5-fold and 10.5-fold, respectively (Fig. 7 ). These observations demonstrated that these genes may contribute to osmotic stress adaptation and root developmental regulation under drought conditions. Together, these findings underscore the critical roles of GRAS gene family members in modulating abiotic stress responses in E. sibiricus , and highlight specific candidates such as EsGRAS128 , EsGRAS90 , and EsGRAS95 for further functional characterization in stress-resilience pathways. Under ABA treatment, multiple EsGRAS genes—including EsGRAS14 , EsGRAS45 , EsGRAS80 , EsGRAS83 , EsGRAS84 , EsGRAS93 , EsGRAS98 , EsGRAS108 , EsGRAS118 , and EsGRAS113 —displayed transient upregulation followed by a subsequent decline (Fig. 8 ). Notably, EsGRAS5 and EsGRAS120 showed significant and sustained induction, with transcription levels increasing by 4.9-fold and 9.6-fold, respectively, compared to per-treatment expression levels. Intriguingly, induction pattern of EsGRAS95 under ABA treatment was consistent with its response to drought stress, suggesting a possible role of GRAS genes in ABA-dependent stress signaling pathways. GA regulates a broad range of plant growth and developmental processes, including stem elongation, tillering, and floral organ development. Under GA treatment, several EsGRAS genes—including EsGRAS5 , EsGRAS8 , EsGRAS22 , EsGRAS24 , EsGRAS45 , EsGRAS99 , and EsGRAS100 —exhibited significant downregulation relative to pre-treatment levels. In contrast, EsGRAS113 expressed a marked upregulation,with transcription levels increasing by 2.1-fold (Fig. 8 ). These differential expression patterns indicated that GRAS family members in E. sibiricus likely play diverse roles in GA signaling transduction. Collectively, the results underscore the involvement of EsGRAS genes in gibberellin-responsive pathways, reinforcing their functional significance in regulating plant growth and stress adaptation. 4. Discussion In this study, a total of 130 GRAS transcription factor genes were identified from E. sibiricus genome and categorized into eleven distinct groups based on phylogenetic relationships. Comparative genomic analysis demonstrated that the GRAS gene family reveals exhibits substantial variation in copy number across different species, with 34 members reported in A. thaliana [ 36 ], 48 in Brachypodium distachyon [ 37 ], 55 in Melilotus albus [ 38 ], 55 in Medicago sativa [ 39 ], and 62 in Hordeum vulgare [ 40 ]. Despite species-specific differences in gene number, the overall structure features and motif compositions of of EsGRAS genes were largely conserved. All EsGRAS proteins contained the characteristic GRAS domain, and two members EsGRAS 98 and EsGRAS113 additionally possessed a DELLA domain, consistent with previous reports in monocots and dicots [ 41 ]. Gene duplication is recognized as a primary mechanism driving the expression and diversification of transcription factor families in plants [ 42 ]. In E. sibiricus , the GRAS gene family comprises both single-copy and multicopy genes. Multiple members, including EsGRAS2 , EsGRAS4 , EsGRAS5 , EsGRAS22 , EsGRAS30 , EsGRAS46 , EsGRAS51 , EsGRAS53 , EsGRAS55 , EsGRAS63 , EsGRAS91 , EsGRAS94 , EsGRAS101 , EsGRAS109 , EsGRAS110 , EsGRAS114 , and EsGRAS118 , exhibit gene duplication events and are conserved across other plant species, suggesting that they have undergone evolutionary retention due to functional significance. Chromosomal mapping of EsGRAS genes revealed a non-random distribution pattern, with multiple members located in distinct chromosomal regions (Fig. 3 ). This uneven distribution implies the occurrence of large-scale genomic events such as whole-genome duplication (WGD) and segmental duplication. Based on synteny and gene collinearity analysis, the majority of EsGRAS genes appear to have originated from WGD events, whereas a subset genes—such as EsGRAS3 , EsGRAS7 , EsGRAS12 , EsGRAS17 , EsGRAS22 , EsGRAS31 , EsGRAS35 , EsGRAS37 , EsGRAS42 , EsGRAS45 , EsGRAS47 , EsGRAS48 , EsGRAS56 , EsGRAS62 , EsGRAS66 , EsGRAS68 , EsGRAS74 , EsGRAS76 , EsGRAS83 , EsGRAS95 , EsGRAS102 , EsGRAS108 , EsGRAS113 , and EsGRAS116— likely resulted fromsegmental duplications (Fig. 3 ). These findings suggested that the expansion of GRAS gene family in E. sibiricus was predominantly driven by WGD, supplemented by localized segmental duplication. Furthermore, eight GRAS gene clusters were identified across chromosomes, which may explain the relatively high GRAS gene number observed in E. sibiricus. Cross-species collinearity analysis revealed that approximately 67.69% of EsGRAS genes exhibit orthologous relationships with GRAS genes in wheat ( T. aestivum ), whereas only 2.94% share orthology with those in A. thaliana . This sharp contrast highlighted that significant functional divergence has occurred between monocot and dicot GRAS gene lineages, possibly driven by distinct selection pressures and adaptive requirements. In plants, the exon-intron structure of GRAS genes exhibits poor conservation, with exon numbers showing notable variation. In E. sibiricus , EsGRAS genes contain 1 to 9 exons (Fig. 2 ), a pattern comparable to that observed in other species such as Hibiscus hamabo (1–4 exons) [ 43 ], Secale cereale (1–6 exons) [ 44 ], and Passiflora edulis (1–4 exons) [ 45 ]. Interestingly, even among homologous gene pairs, exon number often differs substantially. For example, Es GRAS109 possesses a single exon, whereas Es GRAS97 contains 9. This discrepancies implied exon gain or loss events have occurred during evolution, contributing to structural variation. Despite the overall conservation of motif composition and arrangement among EsGRAS proteins (Fig. 2 ), a high degree of motif diversity was observed. Most GRAS proteins contains five canonical domains in the C-terminal region: LHRⅠ, VHIID, LHRⅡ, PFYRE, and SAW. The VHIID domain, which is central and contains highly conserved histidine and aspartic acid residues, is believed to play a critical role in protein–protein interactions and functional specificity. In some cases, non-polar residues such as leucine, isoleucine, and valine substitute for the conserved amino acids within this region, possibly due to neutral mutations that do not compromise the overall structure. Notably, some SCR subfamily memebers, such as EsGRAS22 , EsGRAS23 , and EsGRAS47 , lack key residues in the VHIID domain, a feature also reported in Raphanus sativus [ 46 ], suggesting subfamily-specific structural divergence. These structural differences collectively indicated that the structural diversity among EsGRAS gene is likely correlated with their functional specialization. Cis-element analysis identified 22 distinct types of regulatory elements associated with environmental stress response, hormone regulation, developmental processes, and light response (Fig. 5 ). Universally prevalent elements include ABRE, CAT-box, MRE, and GT1-motif [ 47 ]. Among these, ABRE and CAT-box are functionally linked to meristem development and hypoxic stress responses, whereas MRE and GT1-motif operate within light-responsive regulatory pathways [ 48 ]. Weits et al. [ 49 ] and Shukla et al. [ 50 ] demonstrated that apical meristem development during hypoxia is essential for initiating new leaf formation. Under such conditions, light serves as a signaling factor that activates stem cells via cytokinin (CK) signaling and associated metabolic processes[ 51 ]. The abundance of developmental elements (ABRE, CAT-box) in GRAS promoters suggests their involvement in plant hormones signalling [ 52 , 53 ], particularly in response to GA, which influences plant height and morphology. Furthermore, key cis-acting regulatory elements (GT-1-motif, CAT–box, GATAT-motif) have been identified in E. sibiricus GRAS gene promoters [ 54 ]. Light-responsive elements such as the GT1-motif and MRE were also prevalent, reinforcing the notion that GRAS gene expression is tightly coordinated with photomorphogenic pathways. The enrichment of GA-responsive motifs, including the GARE and P-box, is consistent with the known involvement of GRAS genes—particularly those from the DELLA subfamily—in gibberellin signaling [ 55 ]. Additionally, binding motifs for other transcription factors (e.g., GTAC elements recognized by SPL proteins) were identified, suggesting complex transcriptional regulation [ 56 ]. Given the crucial role of GRAS genes in plant growth and development, future research should focus on functionally validating these cis-regulatory elements and exploring GRAS interactions to gain new insights into plant growth, morphology, and developmental processes. Gene family members often possess conserved functional domains and structural features, enabling them to participate collaboratively in complex regulatory pathways and biological functions. Proteins within the same family frequently act in concert, much like batons in a relay race, forming intricate signaling cascades that control essential biological processes such as cell division, differentiation, organogenesis and apoptosis. In this context, protein-protein interaction (PPI) network analysis serves as a powerful tool to elucidate functional relationships among family members and their associated signaling partners, In the present study, key interaction nodes were identified within the GRAS protein network in E. sibiricus , including GID1, GA2OX, GA3OX, PAT1, PHYA, and NSP2. These components are centrally involved in gibberellin (GA) and light signaling pathways, as well as developmental and stress response networks. GID1 functions as a GA receptor, initiating DELLA protein degradation and thus activating GA-responsive gene expression. Its elevated expression during early panicle development and its coordinated regulation with the F-box protein GID2 and DELLA (e.g., OsSLR1) indicate a tightly regulated GA–DELLA signaling module involved in reproductive development and grain morphology. GRAS family members such as GS6 and SCL6-IIb , which exhibit co-expression with GID1, have been implicated in the modulation of grain type and plant stature [ 56 ]. The GA oxidase genes, GA2OX and GA3OX , regulate GA homeostasis by controlling the biosynthesis and deactivation of bioactive GAs. Their manipulation has demonstrated profound phenotypic consequences. For example, overexpression of GA2OX in maize and rice results in dwarfism and increased tillering, while AtGA2OX overexpression delays A. thaliana flowering. GA3OX2 mutants exhibit impaired flowering and sterility, whereas GA3OX3 and GA1OX1 mutants affect active GA levels and grain development [ 57 , 58 ]. These findings underscore the significance of GA metabolic regulation in shaping plant architecture and reproductive success. Photoreceptor-related components such as PAT1 and PHYA also occupy central positions in the PPI network. PAT1 mediates far-red light signaling, influencing photomorphogenesis and developmental transitions, including axillary bud formation and floral induction [ 59 ]. PHYA PHYA demonstrates light quality–dependent expression, with studies in tea ( Camellia sinensis ) showing that specific wavelengths (e.g., purple or red light)markedly alter PHYA and PHYB expression profiles, thereby impacting photosynthetic and circadian regulation [ 60 ]. NSP2, a GRAS family transcriptional regulator, governs the symbiotic signaling by regulating genes associated with symbiotic and strigolactone biosynthesis and root nodule formation Its role extends beyond legumes, impacting arbuscular mycorrhizal fungal symbiosis and nutrient uptake in diverse plant species [ 61 ]. Additional GRAS network components such as SOC1 and MOC1 are also functionally relevant. MOC1, primarily expressed in axillary meristems, is indisoesable for axillary bud initiation and outgrowth. moc1 mutants display a phenotype lacking tillers and a solitary main stem, highlighting its role in shoot branching [ 62 ]. SOC1 facilitates flowering by upregulating key floral meristem genes such as LEAFY (LFY) and APETALA1 (AP1) and forms a dimer with FUL to activate LFY expression, further regulating floral organogenesis and meristem determinacy [ 63 ]. Identifying these critical hub proteins is essential for elucidating cellular signaling pathways and central metabolic regulation. Collectively, these results suggest that the GRAS protein family interacts extensively with multiple hormone and environmental signaling pathways. The identification of hub proteins such as GID1, GA2OX, PAT1, and NSP2 advances our understanding of the GRAS interactome and provides a mechanistic framework for the regulation of key developmental and adaptive processes in E. sibiricus . In living organisms, gene expression precedes and is essential for gene function, with expression patterns intricately linked to gene roles [ 22 ]. The GRAS gene family is widely involved in plant growth and development, playing a key regulatory roles across various developmental stages—from seedlings to maturity [ 1 , 32 ]. In kiwifruit, genes such as AcGRAS6 and AcGRAS21 are upregulated under salt stress. These genes, involved in metabolic and biosynthetic processes, enhance salt tolerance by positively modulating salt stress responses and mitigating salt-induced damage [ 64 ]. Under drought stress, GRAS genes can strengthen plant drought resistance by maintaining ion homeostasis. For instance, In soybean, overexpression of GmFER1 enhances drought adaptability by upregulating the Na⁺ transporter GmSOS1 , thereby promoting Na⁺ efflux and increasing intracellular K⁺ and Ca²⁺ levels to stabilize ion balance [ 65 ]. In Hibiscus hamabo , HhGRAS14 expression is significantly upregulated by drought, salt stress, and ABA treatment. Silencing HhGRAS14 reduces drought and salt tolerance, whereas its overexpression in A. thaliana enhances tolerance and decreases ABA sensitivity, underscoring its integrative role in ABA signaling in stress responses [ 43 ]. NGR5, a key component in gibberellin signaling pathway, interacts with the GA receptor GID1. GA promotes NGR5 degradation, leading to reduced H3K27me3 epigenetic modifications and activation of downstream target genes, thereby inhibiting rice tillering [ 66 ]. Overall, GRAS genes are crucial player in plant responses to abiotic stresses. This study demonstrates that EsGRAS128 was continuously upregulated under salt stress, suggesting a potential role as a key negative regulator. This makes EsGRAS128 a promising target for future exploration in salt stress adaptation and genetic improvement strategies. Similarly, in rice, OsGRAS10 is upregulated under salt stress and may contribute to early-stage salt stress response by regulating ion homeostasis and antioxidant defense systems [ 67 ]. In maize, the heterologous expression of ZmGRAS72 in A. thaliana significantly enhances drought and salt stress tolerance, increases chlorophyll content, reduces malondialdehyde levels, and boosts peroxidase activity [ 68 ]. In this study, EsGRAS90 and EsGRAS95 were significantly upregulated under drought stress. In wheat, six TaGRAS genes - TaGRAS8 , TaGRAS27 , TaGRAS53 , TaGRAS54 , TaGRAS98 , and TaGRAS122 )- showed 10-fold induction under drought indicating potential roles in enhancing drought resistance by regulating related physiological processes [ 69 ]. Notablly, EsGRAS95 was also upregulated under ABA treatment, mirroring its drought-induced xpression pattern and suggesting a possible role in ABA-mediated stress responses. In eucalyptus, 18 GRAS genes showed differential expression under ABA and GA3 treatment, with 11 upregulated. Among them, EgrGRAS68 , EgrGRAS34 , and EgrGRAS13 showed more than four-fold increases compared to controls, indicating they may be involved in ABA signaling and drought resistance [ 70 ]. In tomato, SlGRAS4 enhances drought tolerance by directly regulating the ABA signaling gene SlSnRK2.4 [ 71 ]. Similarly, in H. hamabo , HhGRAS14 mediates drought and salt tolerance through ABA signaling integration [ 43 ]. Under GA treatment, EsGRAS113 was significantly up-regulated. As a member of the DELLA subfamily, this observation is consistent with previously reported roles of DELLA proteins in GA signal transduction, plant growth, and stress adaptation [ 72 ]. In A. thaliana , DELLA subfamily members (e.g., GAI, RGA, RGL1,RGL2) act as negative regulators of GA negatively regulate GA signaling. They restrict plant growth by inhibiting GA signals, a process reversed by GA-induced degradation of DELLA proteins. For instance, RGA and GAI inhibit stem elongation and leaf expansion, while RGL1/RGL2 affect seed germination in A. thaliana [ 73 ]. Based on these fondings, we propose that the GRAS gene family plays a crucial role in abiotic stress resistance in E. sibiricus . Specifically, EsGRAS128, EsGRAS90, EsGRAS95 , and EsGRAS113 may function as key mediators of stress responses. 5. conclusion This study represents the first genome-wide investigation of the GRAS gene family in E. sibiricus , identifying 130 EsGRAS members primarily expanded through segmental duplications. Bioinformatic analyses revealed fundamental genetic characteristics, including conserved protein sequences and structures, hormone/stress-responsive cis-elements in EsGRAS promoters, and regulatory interactions through protein-protein networks with phytohormone regulators (GID1, GA2OX, GA3OX), light sensors (PAT1, PHYA), and symbiosis factor NSP2. Expression profiling under four abiotic stresses demonstrated significant induction of EsGRAS90 , EsGRAS95 , EsGRAS128 , and EsGRAS113 . Collectively, this study elucidates the genetic evolution and biological functions of EsGRAS genes, establishing a foundation for future functional characterization and stress-adaptation applications. Abbreviations GRAS GAI RGA SCR GAI Gibberellic Acid Insensitivity RGA Repressor of GA1-3 mutant SCR Scarecrow MW Molecular weight PI isoelectric point ABA abscisic acid GA gibberellin Declarations Ethics approval and consent to participate This article does not contain any studies involving human participants or animals performed by the authors. These methods were carried out by relevant guidelines and regulations. E. sibiricus used in this study is a prevalent wild species in the Qinghai area. Based on international standards, all the experimental research and field studies on plants, including the collection of plant material were approved by Institute of Animal Sciences. These materials are stored in Institute of Animal Sciences of Chinese Academy of Agricultural Sciences. Consent for publication Not applicable. Availability of data and materials The genome sequences of A. thaliana, O. sativa, B. distachyon, and T. aestivum were downloaded from phytozome database (https://phytozome-next.jgi.doe.gov/). The datasets supporting the results of this article are included in the article and Additional files. Funding This work was supported by the National Key Research and Development Program of China (2023YFD1200303), the earmarked fund for China Agriculture Research System (CARS-34), the Aricultural Germplasm Conservation Services (22250241), the Key Research and Development Pro gram of the Xinjiang Uygur Autonomous Region (2023B02031), and the Xinjiang Graduate Student Scientific Research Innovation Program (XJ2025G108). Authors' contributions performed the experiments with the help of D.Y., L.M., X.M., J.T., X.M., K.X., and W.L. analyzed the sequencing data; X.W., J.T., D.Y., Z.J., W.L., M.H., and W.L. designed the experiments, interpreted the results, and wrote the manuscript. 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Multiple sequence alignment of GRAS genes in E. sibiricus Cite Share Download PDF Status: Published Journal Publication published 10 Jan, 2026 Read the published version in BMC Genomics → Version 1 posted Editorial decision: Revision requested 13 Oct, 2025 Reviews received at journal 13 Oct, 2025 Reviews received at journal 11 Oct, 2025 Reviewers agreed at journal 27 Sep, 2025 Reviewers agreed at journal 26 Sep, 2025 Reviewers invited by journal 26 Sep, 2025 Editor invited by journal 14 Aug, 2025 Editor assigned by journal 12 Aug, 2025 Submission checks completed at journal 12 Aug, 2025 First submitted to journal 12 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. 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17:01:03","extension":"png","order_by":38,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":1976761,"visible":true,"origin":"","legend":"","description":"","filename":"OnlineFig.8.png","url":"https://assets-eu.researchsquare.com/files/rs-7355432/v1/b5d813aec96636c0e50b1699.png"},{"id":93066441,"identity":"0508b680-e423-44fa-ad1b-7dd4ef877c03","added_by":"auto","created_at":"2025-10-08 16:53:03","extension":"png","order_by":39,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":2697684,"visible":true,"origin":"","legend":"","description":"","filename":"OnlineSupplementaryFig1.png","url":"https://assets-eu.researchsquare.com/files/rs-7355432/v1/241cb4cae84e2096ab505146.png"},{"id":93066444,"identity":"691a40bd-8a70-4712-b5a3-98cb0137c487","added_by":"auto","created_at":"2025-10-08 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17:01:03","extension":"png","order_by":46,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":93474,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage7.png","url":"https://assets-eu.researchsquare.com/files/rs-7355432/v1/ba88d47f7177e7d47e424e86.png"},{"id":93066438,"identity":"12f94125-bd98-4f44-a5dc-634698a62404","added_by":"auto","created_at":"2025-10-08 16:53:02","extension":"png","order_by":47,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":76769,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage8.png","url":"https://assets-eu.researchsquare.com/files/rs-7355432/v1/c94283fc02f365c96166b2e6.png"},{"id":93067331,"identity":"9dc70bca-6ff4-4b25-9514-6d413b6d1ba3","added_by":"auto","created_at":"2025-10-08 17:01:02","extension":"png","order_by":48,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":165035,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage9.png","url":"https://assets-eu.researchsquare.com/files/rs-7355432/v1/1cfef4b331ef8c0d60bc1b36.png"},{"id":93066430,"identity":"314c459c-0cef-4f27-8107-d26d9fa36097","added_by":"auto","created_at":"2025-10-08 16:53:02","extension":"xml","order_by":49,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":367408,"visible":true,"origin":"","legend":"","description":"","filename":"ca523e74acb84cc1b29131e786bfa9d71structuring.xml","url":"https://assets-eu.researchsquare.com/files/rs-7355432/v1/9d597e0dc43fff34cbcc4d28.xml"},{"id":93066429,"identity":"da5673d5-fcd5-4be2-98e1-60343e5e140a","added_by":"auto","created_at":"2025-10-08 16:53:02","extension":"html","order_by":50,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":391906,"visible":true,"origin":"","legend":"","description":"","filename":"earlyproof.html","url":"https://assets-eu.researchsquare.com/files/rs-7355432/v1/3c7e92248369c0a21136d334.html"},{"id":93067312,"identity":"35dc725b-6733-4309-b5ca-8f345de38f80","added_by":"auto","created_at":"2025-10-08 17:01:01","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":459746,"visible":true,"origin":"","legend":"\u003cp\u003eEvolutionary analysis of the \u003cem\u003eGRAS\u003c/em\u003e candidate genes in \u003cem\u003eE.sibiricus.\u003c/em\u003e\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-7355432/v1/9fa454d548dec04ea4ea20dd.png"},{"id":93066392,"identity":"708eb9ee-c474-414e-818a-232f0de341d2","added_by":"auto","created_at":"2025-10-08 16:53:01","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":350425,"visible":true,"origin":"","legend":"\u003cp\u003eDetailed information on the conserved motifs, functional domains, and exon-intron organization of \u003cem\u003eGRAS\u003c/em\u003e candidate genes in \u003cem\u003eE.sibiricus\u003c/em\u003ewhere (A) represents conserved motifs, (B) represents functional domains, and (C) represents exon-intron organization.\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-7355432/v1/ea22958debcad225db439aba.png"},{"id":93067313,"identity":"7a50fb72-f1a6-4b06-aa37-434cbdbebf7d","added_by":"auto","created_at":"2025-10-08 17:01:01","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":571031,"visible":true,"origin":"","legend":"\u003cp\u003eChromosomal distribution and synteny analysis of \u003cem\u003eGRAS\u003c/em\u003e candidate genes in \u003cem\u003eE.sibiricus\u003c/em\u003e. (A) Spatial distribution of \u003cem\u003eGRAS\u003c/em\u003e candidate genes on the chromosomes of \u003cem\u003eE.sibiricus\u003c/em\u003e. (B) Intra-species synteny analysis describing the chromosomal localization of \u003cem\u003eGRAS\u003c/em\u003ecandidate genes. (C) Inter-species synteny analysis illustrating the relationship of \u003cem\u003eGRAS\u003c/em\u003e candidate genes among \u003cem\u003eA. thaliana\u003c/em\u003e, \u003cem\u003eE.sibiricus\u003c/em\u003eand wheat. Colored lines represent the syntenic relationships of \u003cem\u003eGRAS\u003c/em\u003ecandidate genes between\u003cem\u003e E.sibiricus\u003c/em\u003e and other plant species.\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-7355432/v1/c57bf60eefdd1aae9a022bb1.png"},{"id":93067317,"identity":"0e159fb1-7bb1-42dc-9493-0ff3a1ce6d3f","added_by":"auto","created_at":"2025-10-08 17:01:02","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":592715,"visible":true,"origin":"","legend":"\u003cp\u003ePredicted regulatory network of \u003cem\u003eGRAS\u003c/em\u003e and its interacting proteins. Sky blue lines represent data from selected databases; purple lines are experimentally validated interactions; dark blue lines indicate gene co-occurrence; green lines represent text mining results; black lines denote co-expression; light blue lines indicate protein homology.\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-7355432/v1/75ad471454e29f5925ceeeca.png"},{"id":93067314,"identity":"2c5d4650-77d9-441b-9160-3ccf2e611467","added_by":"auto","created_at":"2025-10-08 17:01:02","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":516367,"visible":true,"origin":"","legend":"\u003cp\u003eQuantitative analysis of the number of cis-acting regulatory elements in \u003cem\u003eGRAS\u003c/em\u003e candidate genes. Different color shades and corresponding grid numbers represent the number of distinct promoter elements identified in the \u003cem\u003eGRAS\u003c/em\u003e candidate genes. The multicolored histogram shows the total number of cis-acting regulatory elements in each functional category: blue represents environment stress-related elements, orange represents hormone response elements, yellow represents growth and development-related elements, and green represents light response elements.\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-7355432/v1/002084bb5bb5a719050349af.png"},{"id":93066399,"identity":"21a15888-c1de-408a-a077-01273ad6745f","added_by":"auto","created_at":"2025-10-08 16:53:02","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":490856,"visible":true,"origin":"","legend":"\u003cp\u003eExpression levels of \u003cem\u003eGRAS\u003c/em\u003e candidate genes in different tissues.\u003c/p\u003e","description":"","filename":"7.png","url":"https://assets-eu.researchsquare.com/files/rs-7355432/v1/b257c86c2177f75dd70bdcea.png"},{"id":93066397,"identity":"e89a6b9e-056c-4c90-b4d7-064dcfda135b","added_by":"auto","created_at":"2025-10-08 16:53:01","extension":"png","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":436781,"visible":true,"origin":"","legend":"\u003cp\u003eExpression of \u003cem\u003eGRAS\u003c/em\u003e candidate genes under salt and drought stress treatments. The relative expression levels of these genes were quantified at specific time points: 0, 3, 6, 12, 24, 48, 72, and 100 hours for each treatment. The data presented are means ± standard deviation (SD) calculated from three independent biological replicates. To determine statistical significance, a one-way analysis of variance was conducted, and the results are indicated as follows: \"*\" denotes \u003cem\u003eP\u003c/em\u003e \u0026lt; 0.05 and \"**\" denotes \u003cem\u003eP\u003c/em\u003e \u0026lt; 0.01, n=6.\u003c/p\u003e","description":"","filename":"8.png","url":"https://assets-eu.researchsquare.com/files/rs-7355432/v1/86e41df1ff522fdea39fa1c3.png"},{"id":100071018,"identity":"13a8af9c-c483-4051-843c-5191726dc1ee","added_by":"auto","created_at":"2026-01-12 16:19:00","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":5980307,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7355432/v1/0b53448c-a388-4978-bf52-4a40efb28972.pdf"},{"id":93068388,"identity":"21e1c2a2-e2d2-4085-aedd-0ec95e016e0a","added_by":"auto","created_at":"2025-10-08 17:09:01","extension":"xlsx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":85204,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eSupplementary Information\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSupplementary Material 1: Supplementary table 1.\u003c/strong\u003e Classification of promoter cis-elements\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSupplementary Material 2: Supplementary table 2.\u003c/strong\u003e Organization of promoter cis-elements\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSupplementary Material 3: Supplementary table 3.\u003c/strong\u003e Primer design for \u003cem\u003eGRAS\u003c/em\u003e gene family\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSupplementary Material 4: Supplementary table 4. \u003c/strong\u003eStatistics of promoter cis-elements\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSupplementary Material 5: Supplementary table 5. \u003c/strong\u003eList and detailed information of identified\u003cem\u003e GRAS \u003c/em\u003egenes in\u003cem\u003e E. sibiricus\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e","description":"","filename":"Supplementarytable.xlsx","url":"https://assets-eu.researchsquare.com/files/rs-7355432/v1/4f75135a2a0ba37aacc9085f.xlsx"},{"id":93066396,"identity":"f4714cce-96da-43c4-8153-de9a008c2f41","added_by":"auto","created_at":"2025-10-08 16:53:01","extension":"docx","order_by":2,"title":"","display":"","copyAsset":false,"role":"supplement","size":535528,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eSupplementary Material 6:Supplementary Fig 1. \u003c/strong\u003eMultiple sequence alignment of \u003cem\u003eGRAS\u003c/em\u003e genes in \u003cem\u003eE. sibiricus\u003c/em\u003e\u003c/p\u003e","description":"","filename":"SupplementaryFig.docx","url":"https://assets-eu.researchsquare.com/files/rs-7355432/v1/c28dd8a3835f12be288e6bf2.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Genome-wide identification and expression analysis of the GRAS transcription factor family and its expression profiles in Elymus sibiricus","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003e\u003cem\u003eGRAS\u003c/em\u003e genes constitute a plant-specific transcription factor family that plays essential roles in regulating plant growth, development, signaling pathways, and responses to environmental stimuli [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. The acronym \u003cem\u003eGRAS\u003c/em\u003e is derived from the first identified members: \u003cem\u003eGAI\u003c/em\u003e (Gibberellic Acid Insensitivity), \u003cem\u003eRGA\u003c/em\u003e (Repressor of GA1-3 mutant), and \u003cem\u003eSCR\u003c/em\u003e (Scarecrow), whose encoded proteins are involved in diverse physiological processed across plant species [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. GRAS proteins typically consist of 400\u0026ndash;770 amino acids and are characterized by a highly conserved C-terminal region containing five typical motifs: LHRI, VHIID, LHRII, PFYRE, and SAW. Among them, the VHIID domain is crucial for mediating protein-protein interactions, while the variable N-terminal region contributes to functional diversification within the family [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. Phylogenetic analysis in \u003cem\u003eArabidopsis thaliana\u003c/em\u003e categorized GRAS proteins into eight subfamilies\u003cem\u003e\u0026mdash;\u003c/em\u003eDELLA, SCR, and HAM-with subsequent studies identifying additional groups such as DLT and SCL4/7 [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. Functionally, \u003cem\u003eGRAS\u003c/em\u003e transcription factors are involved in multiple developmental pathways, including gibberellin signal, root architecture formation, meristem development, and leaf patterning [\u003cspan additionalcitationids=\"CR6 CR7\" citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. Of particular importance, members of the DELLA subfamily act as serve central repressors in the gibberellin signaling pathway, modulating plant growth in response to hormonal cues [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eIn \u003cem\u003eA. thaliana\u003c/em\u003e, DELLA proteins\u0026mdash;including GAI, RGA, and RGL1-3\u0026mdash;function as key negative regulators of gibberellin (GA) signaling. These proteins interact with the GA receptor GID1 to form complexes that are subsequently degraded by the 26S proteasome. This degradation alleviates the repressive effects of DELLA proteins on GA-responsive genes, thereby facilitating plant growth and development [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. Members of the PAT1 subfamily are involved in phytochrome A-mediated light signaling and contribute to growth regulation under variable light conditions. In \u003cem\u003eVitis vinifera\u003c/em\u003e, PAT1-type GRAS proteins also participate in cold stress responses by modulating jasmonic acid biosynthesis [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. The SCR (Scarecrow) and SHR (Short Root) subfamilies are crucial for root radial patterning. SCR is predominantly expressed in endodermis/cortex initial cells, where it maintains stem cell homeostasis in the root apical meristem by suppressing cytokinin signaling and promoting mitotic activity [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. Conversely, the SHR protein facilitates asymmetric cell division to establish ground tissues (endodermis and cortex) and promotes endodermis specification by regulating gene expression in asjacent cell layers. Additionally, SCL3 modulates cellular differentiation and elongation in root developmental zones [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. Several orthologous genes\u0026mdash;\u003cem\u003eLs\u003c/em\u003e (Lateral Suppressor) in tomato (\u003cem\u003eSolanum lycopersicum\u003c/em\u003e), \u003cem\u003eLAS\u003c/em\u003e (Lateral Suppressor) in \u003cem\u003eA. thaliana\u003c/em\u003e, and \u003cem\u003eMOC1\u003c/em\u003e (Monoculm 1) in rice (\u003cem\u003eOryza sativa\u003c/em\u003e)\u0026mdash;collectively regulate axillary bud initiation and outgrowth [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]. In rice, \u003cem\u003eOsSLR1\u003c/em\u003e, a DELLA subfamily member - regulates culm elongation and tiller number by suppressing GA signaling. The \u003cem\u003eosslr1\u003c/em\u003e mutants displays slender culms and enhanced disease resistance. \u003cem\u003eOsSLR1\u003c/em\u003e also interacts with \u003cem\u003eOsUDT1\u003c/em\u003e to regulate tapetum-specific gene expression, which is critical for pollen wall development. In \u003cem\u003eLiriodendron chinense\u003c/em\u003e, \u003cem\u003eLcGRAS\u003c/em\u003e modulates plant development by regulating the expression of cell proliferation-related genes such as \u003cem\u003eOsmiR396a\u003c/em\u003e/\u003cem\u003eOsGRFs\u003c/em\u003e [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. In rice, DELLA proteins govern growth and development via the GA signaling pathway [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e]. Overall, DELLA proteins serve as key modulators of phytohormone signaling, contributing to the regulation of plant architecture, including height, leaf morphogenesis, and reproductive development.\u003c/p\u003e\u003cp\u003e\u003cem\u003eGRAS\u003c/em\u003e gene family coordinates plant growth, development, and stress resilience by integrating phytohormone signaling pathways, tissue morphogenesis, and adaptive responses to environmental stimuli [\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]. Under salt stress conditions, the \u003cem\u003eGRAS\u003c/em\u003e transcription factors modulate key hormonal pathways, particularly those involving gibberellin (GA) and abscisic acid (ABA), to enhance stress resilience. For instance, in \u003cem\u003ePopulus euphratica\u003c/em\u003e, \u003cem\u003ePeSCL7\u003c/em\u003e expression is induced by salt treatment, and its overexpression improves salt tolerance in transgenic \u003cem\u003eA. thaliana\u003c/em\u003e plants [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e]. In \u003cem\u003eRicinus communis\u003c/em\u003e (castor bean), salt stress upregulates \u003cem\u003eRcGRAS14\u003c/em\u003e, \u003cem\u003eRcGRAS21\u003c/em\u003e, and \u003cem\u003eRcGRAS35\u003c/em\u003e, while suppressing \u003cem\u003eRcGRAS1\u003c/em\u003e and \u003cem\u003eRcGRAS10\u003c/em\u003eexpression [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e]. These findings suggest that \u003cem\u003eGRAS\u003c/em\u003e genes may confer salt tolerance by modulating root growth and development and, thereby enhancing water and nutrient acquisition. In \u003cem\u003eA. thaliana\u003c/em\u003e, the \u003cem\u003eSCL3\u003c/em\u003e subfamily integrates multiple signaling cues during root cell elongation to ensure the proper functioning of the GA pathway and modulate cellular expansion [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]. Overexpression of \u003cem\u003eSlGRAS40\u003c/em\u003e leads toelevated accumulation of proline and soluble sugars under drought stress, contributing to osmotic homeostasismaintaining and improved stress tolerance in \u003cem\u003eSolanum lycopersicum\u003c/em\u003e [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. Similarly, in \u003cem\u003eLiriodendron chinense\u003c/em\u003e, members of the \u003cem\u003eLcPAT\u003c/em\u003e subfamily (e.g., PAT3, PAT4, PAT5) are significantly upregulated after 24 hours of drought treatment, potentially functioning through the induction of cold-regulated (COR) proteins [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e].\u003c/p\u003e\u003cp\u003e\u003cem\u003eGRAS\u003c/em\u003e genes also interact with broader transcriptional networks to confer drought resistance. For example, in Potato (\u003cem\u003eSolanum tuberosum\u003c/em\u003e), \u003cem\u003eStNAC053\u003c/em\u003e enhances drought resistance by upregulating \u003cem\u003eDREB\u003c/em\u003e (Dehydration-Responsive Element Binding) and \u003cem\u003eNAC\u003c/em\u003e (NAM/ATAF/CUC) transcription factors [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]. In \u003cem\u003eA. thaliana\u003c/em\u003e, and major cereal crops, DELLA proteins including GAI, RGA, RGL2, SLR1, and Rht-B1/Rht-D1 serve as central repressors within the GA signaling pathway, balancing growth with stress defense [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e]. Concurrently, the SCR subfamily member \u003cem\u003eOsGRAS32\u003c/em\u003e in rice has been identified as a key regulator of GA metabolism and plays aa role in developmental processes under stress conditions [\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]. The \u003cem\u003eGRAS\u003c/em\u003e gene family is also implicated in ABA signaling, potentially modulates key components such as PYR/PYL/RCAR receptors, PP2C phosphatases, SnRK2 kinases, and ABF/AREB transcription factors, thereby regulating plant growth and stress responses. For example, overexpression of \u003cem\u003eBrLAS\u003c/em\u003e in \u003cem\u003eA. thaliana\u003c/em\u003e significantly enhances drought tolerance, likely through ABA-mediated pathways [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e]. Furthermore, ABA-signaling transcription factors such as ABF/AREB bind to ABA-responsive elements (ABREs), thereby activating the activating the expression of stress-responsive genes [\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e].\u003c/p\u003e\u003cp\u003e\u003cem\u003eE. sibiricus\u003c/em\u003e, a heterologous tetraploid plant, is widely distributed across the Eurasian continent and is characterized by remarkable genetic diversity and strong ecological adaptability [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e]. It holds significant value for the establishment of high-yield artificial grasslands, especially in regions such as the Tibetan Plateau and the Northern China. Moreover, \u003cem\u003eE. sibiricus\u003c/em\u003e significantly contributes to the restoration and improvement of natural grasslands, thereby enhancing ecological quality and increasing grassland productivity [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e]. Its high yield and resilience to environmental stresses make it an ideal forage species for promoting sustainable livestock production and grassland ecological restoration. Recently, the reference genome of \u003cem\u003eE. Sibiricus\u003c/em\u003e was published, facilitated a deeper understanding of its genetic composition and evolutionary history through comprehensive genome-wide and population genomic analyses [\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e, \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e]. This high-quality genomic resource provides a solid scientific foundation for future breeding programs, germplasm improvement, and practical applications, advancing the utilization and development of this important forage crop.\u003c/p\u003e\u003cp\u003eIn this study, a systematic genome-wide identification and characterization of \u003cem\u003eGRAS\u003c/em\u003e transcription factor genes (\u003cem\u003eEsGRAS\u003c/em\u003e) was conducted in \u003cem\u003eE. Sibiricus\u003c/em\u003e based on its reference genome. A total of 130 \u003cem\u003eEsGRAS\u003c/em\u003e genes were identified and analyzed for their chromosomal distribution, gene duplication events, cis-regulatory elements, gene structures, and conserved motifs. Phylogenetic analysis revealed evolutionary relationships between \u003cem\u003eE. Sibiricus\u003c/em\u003e EsGRAS proteins and \u003cem\u003eGRAS\u003c/em\u003e homologs from \u003cem\u003eA. thaliana\u003c/em\u003e, \u003cem\u003eO. sativa\u003c/em\u003e, \u003cem\u003eTriticum aestivum\u003c/em\u003e, and \u003cem\u003eBrachypodium distachyon\u003c/em\u003e. Additionally, expression profiles across various tissues in seedlings and mature plants, as well as under four abiotic stress conditions, provided insights into the functional diversity of \u003cem\u003eEsGRAS\u003c/em\u003e genes. This systematic analysis demonstrates the potential regulatory roles of \u003cem\u003eEsGRAS\u003c/em\u003e genes in growth, development and stress responses in \u003cem\u003eE. Sibiricus\u003c/em\u003e, and offers a valuable genomic resource for future research on this species.\u003c/p\u003e"},{"header":"2. Material and methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\u003ch2\u003e2.1 Identification and chromosomal localization of \u003cem\u003eE. sibiricus GRAS\u003c/em\u003e genes\u003c/h2\u003e\u003cp\u003eThe genomic data for \u003cem\u003eE. sibiricus\u003c/em\u003e was obtained from Scientific Data (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://www.nature.com/articles/s41597-024-03622-4\u003c/span\u003e\u003cspan address=\"https://www.nature.com/articles/s41597-024-03622-4\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e provided on January 6, 2025) [\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e]. GRAS protein sequences of \u003cem\u003eA. thaliana\u003c/em\u003e were retrieved from the TAIR database (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://www.arabidopsis.org/\u003c/span\u003e\u003cspan address=\"http://www.arabidopsis.org/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e). To identifiy \u003cem\u003eEsGRAS\u003c/em\u003e genes, BLASTp searches were performed in TBtools using \u003cem\u003eAtGRAS\u003c/em\u003e sequences as queries. Additionally, conserved domain analysis was conducted using the CDD-Search database (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://www.ncbi.nlm.nih.gov/Structure/bwrpsb/bwrpsb.cgi\u003c/span\u003e\u003cspan address=\"https://www.ncbi.nlm.nih.gov/Structure/bwrpsb/bwrpsb.cgi\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e), and additional domain confirmation was carried out through the InterPro database (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://www.ebi.ac.uk/interpro/\u003c/span\u003e\u003cspan address=\"https://www.ebi.ac.uk/interpro/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e), allowing differentiation between GRAS-domain and non-GRAS-domain proteins. Pfam model files were downloaded from the Pfam database (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://www.ebi.ac.uk/interpro/download/Pfam/\u003c/span\u003e\u003cspan address=\"https://www.ebi.ac.uk/interpro/download/Pfam/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e) and used to further confirm the presence of \u003cem\u003eGRAS\u003c/em\u003e domains (PF03541) within the candidate sequences using TBtools. The chromosomal positions of the identified \u003cem\u003eEsGRAS\u003c/em\u003e genes was determained based on \u003cem\u003eE. sibiricus\u003c/em\u003e genome annotation data. Physicochemical properties of the \u003cem\u003eEsGRAS\u003c/em\u003e proteins, including amino acid length, molecular weight (MW), isoelectric point (PI), instability index, aliphatic index, average hydrophobicity (GRAVY), and predicted subcellular localization, were analyzed using the ExPASy protParam tool (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://web.expasy.org/\u003c/span\u003e\u003cspan address=\"http://web.expasy.org/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e).\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec4\" class=\"Section2\"\u003e\u003ch2\u003e2.2 Phylogenetic analysis of the \u003cem\u003eEsGRAS\u003c/em\u003e gene family\u003c/h2\u003e\u003cp\u003e\u003cem\u003eGRAS\u003c/em\u003e amino acids sequences were obtained from multiple databases for \u003cem\u003eA. thaliana\u003c/em\u003e, \u003cem\u003eO. sativa\u003c/em\u003e, \u003cem\u003eB. distachyon\u003c/em\u003e, and \u003cem\u003eT. aestivum\u003c/em\u003e. These sequences were obtained from TAIR (The \u003cem\u003eA. thaliana\u003c/em\u003e Information Resource), the Rice Genome Annotation Project, the Sol Genomics Network, and GIGADB (Genomic Data Commons for Agriculture \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://www.gigadb.org\u003c/span\u003e\u003cspan address=\"http://www.gigadb.org\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.) To investigate the evolutionary relationships among the \u003cem\u003eEsGRAS\u003c/em\u003e gene family members, a comprehensive phylogenetic tree was constructed. For further functional analysis, additional \u003cem\u003eGRAS\u003c/em\u003e amino acid sequences from the same species were retrieves from NCBI (National Center for Biotechnology Information \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://www.ncbi.nlm.nih.gov/\u003c/span\u003e\u003cspan address=\"https://www.ncbi.nlm.nih.gov/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e), Pear MODB (a molecular database for plant sequences \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://www.plantgdb.org/\u003c/span\u003e\u003cspan address=\"http://www.plantgdb.org/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e), Plant TFDB (a comprehensive database for plant transcription factors \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://planttfdb.gao-lab.org/\u003c/span\u003e\u003cspan address=\"http://planttfdb.gao-lab.org/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e), and TAIR. The phylogenetic tree was generated using the Neighbor-Joining (NJ) method in MEGA 11.0 with 1,000 bootstrap replications to assess the reliability of the branches. The resulting tree was then visualized using the iTOL online platform (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://itol.embl.de/\u003c/span\u003e\u003cspan address=\"http://itol.embl.de/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e) to generate a clear and interactive display of phylogenetic relationships.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec5\" class=\"Section2\"\u003e\u003ch2\u003e2.3 Gene structure and multiple sequence alignment analysis\u003c/h2\u003e\u003cp\u003eMotif analysis of the EsGRAS proteins was conducted using the MEME tool (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://meme-suite.org/tools/meme\u003c/span\u003e\u003cspan address=\"http://meme-suite.org/tools/meme\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e) as previously described [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e], resulting in the identification of 8 conserved motifs. Additionally, the gene structures, including eron-intron organization and conserved domain distribution of \u003cem\u003eEsGRAS\u003c/em\u003e family members, were analyzed using TBtools to gain a comprehensive understanding of their structural features.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec6\" class=\"Section2\"\u003e\u003ch2\u003e2.4 Gene duplication and synteny analysis of the \u003cem\u003eEsGRAS\u003c/em\u003e gene family\u003c/h2\u003e\u003cp\u003eThe chromosomal location and mapping information for the \u003cem\u003eEsGRAS\u003c/em\u003e gene family members were obtained from the \u003cem\u003eE. sibiricus\u003c/em\u003e genome annotation file (GFF3 format) using TBtools. Gene distribution across chromosomes was visualized as described by Chen et al [\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e]. To investigate syntenic relationships, the genonmic sequences of \u003cem\u003eA. thaliana\u003c/em\u003e and \u003cem\u003eT. aestivum\u003c/em\u003e were downloaded from the Phytozome database (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://phytozome-next.jgi.doe.gov/\u003c/span\u003e\u003cspan address=\"https://phytozome-next.jgi.doe.gov/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e). Synteny analysis was then performed using the One Step MCScanX function in TBtools, comparing \u003cem\u003eE. sibiricus\u003c/em\u003e with \u003cem\u003eA. thaliana\u003c/em\u003e and wheat. Analysis parameters were set to 4 blast hits with an E-value threshold of 1e-10 to ensure accuracy and reliability.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec7\" class=\"Section2\"\u003e\u003ch2\u003e2.5 Identification of cis-acting regulatory elements in the promoters and prediction of protein-protein interactions\u003c/h2\u003e\u003cp\u003eTo investigate the potential functions and expression regulation mechanisms of the \u003cem\u003eEsGRAS\u003c/em\u003e genes, the 2000 bp upstream promoter sequences of these genes were extracted and uploaded to NCBI. The PlantCARE database (accessed on January 8, 2025, \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttp://bioinformatics.psb.ugent.be/webtools/plantcare/html/\u003c/span\u003e\u003cspan address=\"http://bioinformatics.psb.ugent.be/webtools/plantcare/html/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e) and TBtools were used for visualization [\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e]. Protein-protein interaction predictions were carried out using the online STRING database (accessed on January 9, 2025, \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://cn.string-db.org/\u003c/span\u003e\u003cspan address=\"https://cn.string-db.org/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e). Interaction protein information was retrieved from UniProt (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://www.uniprot.org/\u003c/span\u003e\u003cspan address=\"https://www.uniprot.org/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e, accessed on January 10, 2025).\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e\u003ch2\u003e2.6 Growth conditions and stress treatments\u003c/h2\u003e\u003cp\u003ePlant materials of \u003cem\u003eE. sibiricus\u003c/em\u003e used in this experiment were provided by the College of Animal Science and Veterinary Medicine at Qinghai University, China. Seedlings were cultivated under controlled condition in an artificial climate chamber at the Institute of Animal Science of the Chinese Academy of Agricultural Sciences in Beijing, China. Hydroponically grown seedlings were maintained under a 16 hours light/8 h dark photoperiod, with day/night temperature of 25\u0026deg;/21\u0026deg;C, a light intensity of 250 \u0026micro;mol photons\u0026middot;m\u003csup\u003e\u0026minus;\u0026thinsp;2\u003c/sup\u003e\u0026middot;s\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e, and a relative humidity of 70%. For abiotic stress treatments, two- week- old seedlings were subjected to salt (200 mM NaCl), drought (20% PEG6000), abscisic acid (ABA, 0.1 mM), and gibberellin (GA, 0.1 mM).Samples were collected at 8 time points: 0 h, 3 h, 6 h, 12 h, 24 h, 48 h, 72 h, and 100 h. All treatments included three biological replicates.\u003c/p\u003e\u003cp\u003eTo investigate gene expression patterns across tissues, roots, stems, leaves, and spikes were collected at the heading stage. Additionally, seeds, young roots and two- weeks-old seedlings were sampled for expression analysis. All samples were collected in triplicate ensure experimental reliability. The expression data was visualized using Amazing Heat Map software to generate heatmaps illustrating expression profiles under different conditions.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec9\" class=\"Section2\"\u003e\u003ch2\u003e2.7 Total RNA extraction and qPCR analysis\u003c/h2\u003e\u003cp\u003eTotal RNA was extracted utilizing the Trizol reagent (Invitrogen, Carlsbad, CA, USA), following the manufacturer's prescribed protocol. Subsequently, genomic DNA contamination was eliminated through DNase digestion employing the services of Promega (Madison, WI, USA). The synthesis of the first-strand cDNA was accomplished using M-MLV reverse transcriptase (also provided by promega) with 1 \u0026micro;g of the total RNA as a template. RT-qPCR analysis was performed on the CFX96 Touch\u0026trade; Real-Time PCR Detection System from Bio-Rad (Hercules, CA, USA). The PCR amplification parameters were set as: an initial denaturation at 95\u0026deg;C for 2 minutes, followed by 40 cycles of denaturation at 95\u0026deg;C for 15 seconds and annealing/extension at 60\u0026deg;C for 40 seconds. A final cycle consisted of denaturation at 95\u0026deg;C for 15 seconds and annealing/extension at 60\u0026deg;C for 15 seconds. The alfalfa actin gene was utilized as the internal reference, and relative gene expression was analyzed using the 2^-∆∆Ct methodology. All experimental procedures were repeated with three biological replicates and three technical replicates to ensure reliability. Primer design was done using Primer 5.0 software for accurate and consistent results.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec10\" class=\"Section2\"\u003e\u003ch2\u003e2.8 Data analysis\u003c/h2\u003e\u003cp\u003eThe statistical analysis was conducted utilizing the one-way analysis of variance (ANOVA) within the SPSS software version 23.0. The data was presented in the form of mean values accompanied by their corresponding standard deviations. Graphs were created and thoroughly analyzed using GraphPad Prism 10.1.1 software. Any observed differences were deemed statistically significant when the P-value was below 0.05.\u003c/p\u003e\u003c/div\u003e"},{"header":"3. Results","content":"\u003cdiv id=\"Sec12\" class=\"Section2\"\u003e\u003ch2\u003e3.1 Genome-wide identification of the \u003cem\u003eGRAS\u003c/em\u003e gene family in \u003cem\u003eE. sibiricus\u003c/em\u003e\u003c/h2\u003e\u003cp\u003eAtotal of 130 candidate \u003cem\u003eEsGRAS\u003c/em\u003e genes were identified in the \u003cem\u003eE. sibiricus\u003c/em\u003e genome using comparative genomics techniques [\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e]. These genes were named according to their sequence homology with \u003cem\u003eA. thaliana\u003c/em\u003e GRAS proteins. The key characteristics of the \u003cem\u003eEsGRAS\u003c/em\u003e gene family \u0026mdash;including TIGR loci, chromosomal locations, coding sequence lengths, molecular weights, theoretical isoelectric points, instability indices, aliphatic indices, and the hydrophilicity\u0026mdash;are summarized in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e. The lengths of EsGRAS proteins vary substantially, ranging from 104 to 1,457 amino acid residues, with molecular weight spanning from 12.07kD to 163.40kDa. The theoretical isoelectric points (pI) value range from 4.75 to 9.43, while instability indices vary between 30.90 and 71.21, indicating that the thermal stability range of these proteins in vitro. Furthermore, the aliphatic index ranges from 64.05 to 105.80, reflecting variation in thermostability. Most EsGRAS proteins have negative GRAVY (Grand Average of Hydropathy) scores, indicating a predominantly hydrophilic nature, However, several members (e.g., \u003cem\u003eEsGRAS1, EsGRAS10, EsGRAS12, EsGRAS17, EsGRAS28, EsGRAS29, EsGRAS30, EsGRAS32, EsGRAS33, EsGRAS34, EsGRAS38, EsGRAS41, EsGRAS80, EsGRAS92, EsGRAS93\u003c/em\u003e, and \u003cem\u003eEsGRAS100\u003c/em\u003e) exhibit positive GRAVY scores, indicating hydrophobicity. Subcellular localization predictions revealed that the majority of \u003cem\u003eEsGRAS\u003c/em\u003e members are localized to the nucleus, cytoplasmic, and chloroplast, while a minority are predicted to localize to theperoxisome, mitochondrial, cytoskeleton, endoplasmic reticulum, or extracellular space.\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\u003eList and detailed information of identified \u003cem\u003eGRAS\u003c/em\u003e genes in \u003cem\u003eE.sibiricus\u003c/em\u003e.\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"11\"\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=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eGene Name\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eGene ID\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eChr\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCDS Length\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003ePep Length\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003eMolecular Weight(kDa)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u003cp\u003eTheoretical pI\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u003cp\u003eInstability Index\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e\u003cp\u003eAliphatic Index\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGrand Average of Hydropathicity\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c11\"\u003e\u003cp\u003eSubcellular localization prediction\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS1\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr01.7082\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1377\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e458\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e49,656.73\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e36.95\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e93.14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e0.09\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eChloroplast\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS2\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr01.7190\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1794\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e597\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e64,089.63\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.58\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e63.19\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e64.37\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.41\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS3\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr01.7423\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1674\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e557\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e61,462.41\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.84\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e47.64\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e77.59\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.35\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eChloroplast\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS4\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr01.7755\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1311\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e436\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e47,820.45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e54.79\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e91.61\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.19\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS5\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr01.8450\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1713\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e570\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e64,265.05\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.94\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e40.42\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e83.53\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.44\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS6\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr01.18120\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1893\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e630\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e66,501.02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e51.54\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e85.48\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.14\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS7\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr01.19209\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1500\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e499\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e52,711.86\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.48\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e37.98\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e80.90\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.25\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS8\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr01.20585\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1536\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e511\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e54,059.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.41\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e51.76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e84.36\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.15\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS9\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr01.22082\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1452\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e483\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e52,884.66\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.00\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e40.54\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e98.28\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.05\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eMitochondrial\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS10\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr01.22106\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1401\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e466\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e50,724.47\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.28\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e43.39\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e95.41\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e0.06\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eChloroplast\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS11\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr02.4465\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2142\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e713\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e77,164.08\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e60.66\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e78.53\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.25\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS12\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr02.7906\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1380\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e459\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e49,652.70\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.44\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e38.36\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e92.09\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e0.09\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eChloroplast\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS13\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr02.7979\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1794\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e597\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e63,939.47\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.58\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e62.44\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e64.05\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.40\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS14\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr02.8105\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1665\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e554\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e61,260.37\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.97\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e47.65\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e78.72\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.34\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eChloroplast\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS15\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr02.8519\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1311\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e436\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e47,604.31\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.50\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e50.87\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e93.44\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.17\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS16\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr02.8983\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1713\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e570\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e64,363.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.98\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e40.78\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e82.33\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.47\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS17\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr02.17520\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1251\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e416\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e45,472.07\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.93\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e49.23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e97.04\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e0.02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS18\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr02.19199\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2145\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e714\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e75,247.41\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.78\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e53.15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e88.85\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.06\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eChloroplast\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS19\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr02.20403\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1521\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e506\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e53,973.08\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.93\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e55.35\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e83.85\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.16\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS20\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr02.21979\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1429\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e475\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e52,511.29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.07\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e42.90\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e99.31\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.02\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS21\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr02.21980\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1113\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e370\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e41,061.08\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.32\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e47.09\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e95.54\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.14\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS22\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr02.21995\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1464\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e487\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e53,347.00\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.66\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e44.69\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e91.48\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.06\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS23\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr02.21996\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1464\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e487\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e53,347.00\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.66\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e44.69\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e91.48\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.06\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS24\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr02.21999\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1737\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e578\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e62,525.29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.19\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e46.18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e85.19\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.11\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eMitochondrial\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS25\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr03.2227\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2280\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e759\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e86,455.02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e8.33\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e46.12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e74.22\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.53\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS26\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr03.2230\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1689\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e562\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e63,805.31\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.97\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e48.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e81.25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.41\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS27\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr03.2232\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2373\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e790\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e89,478.48\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e9.43\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e65.35\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e82.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.52\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS28\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr03.11804\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1866\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e621\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e65,087.02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.96\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e53.43\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e82.05\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e0.02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS29\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr03.14314\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e675\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e224\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e24,328.38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e7.76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e41.66\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e105.80\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e0.39\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS30\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr03.14850\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1428\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e475\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e50,325.14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.87\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e46.97\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e85.31\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e0.05\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003ePeroxisome\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS31\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr03.15332\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1248\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e415\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e44,525.58\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e48.51\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e87.25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.11\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS32\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr03.17157\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e696\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e231\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e25,171.91\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e40.18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e88.31\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e0.10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eChloroplast\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS33\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr03.17158\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e943\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e313\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e32,651.78\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e39.87\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e81.69\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e0.00\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eChloroplast\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS34\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr03.18852\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1461\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e486\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e51,260.26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.06\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e41.36\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e83.93\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e0.08\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS35\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr04.2319\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2148\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e715\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e81,129.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e7.30\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e48.75\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e79.44\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.48\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS36\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr04.2320\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2355\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e784\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e88,747.40\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e8.74\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e51.09\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e82.90\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.38\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS37\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr04.2324\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1503\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e500\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e57,455.36\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e9.40\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e51.31\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e82.74\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.41\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS38\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr04.11750\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1863\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e620\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e64,885.86\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.93\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e52.12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e80.94\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e0.02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS39\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr04.14998\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1473\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e490\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e51,989.91\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.94\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e48.47\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e82.49\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003ePeroxisome\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS40\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr04.15498\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1239\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e412\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e44,196.20\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e46.59\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e87.65\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.10\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS41\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr04.19365\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1479\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e492\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e51,927.15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.62\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e42.37\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e85.87\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e0.12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS42\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr05.11883\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1500\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e502\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e52,942.52\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e45.91\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e82.21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS43\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr05.21261\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2175\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e724\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e81,837.56\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e8.92\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e46.24\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e83.77\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.45\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS44\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr05.21264\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1584\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e527\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e60,440.33\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e42.12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e76.57\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.56\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS45\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr05.2854\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1353\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e450\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e48,994.71\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.22\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e53.11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e90.84\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.12\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS46\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr05.5649\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1659\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e552\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e61,424.07\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e4.75\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e39.69\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e78.17\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.29\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS47\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr05.6228\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1551\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e516\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e56,257.77\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.62\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e45.15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e79.50\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.18\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS48\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr05.6232\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1551\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e516\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e55,965.61\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.89\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e42.67\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e84.22\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.12\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS49\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr05.7172.2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2688\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e895\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e97,685.54\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e51.46\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e77.37\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.34\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS50\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr06.1025\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1440\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e479\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e54,062.67\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.56\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e37.50\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e82.92\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.43\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS51\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr06.3708\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1590\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e529\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e57,699.75\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e52.19\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e90.40\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.13\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eChloroplast\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS52\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr06.6611\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1659\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e552\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e61,335.92\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e4.75\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e38.69\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e77.81\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.28\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS53\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr06.7185\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1551\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e516\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e56,200.88\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.70\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e47.19\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e81.76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.13\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS54\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr06.7186\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1548\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e515\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e55,930.49\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.90\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e42.85\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e83.05\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.15\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS55\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr06.8224\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2445\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e814\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e89,266.95\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.63\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e50.15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e76.66\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.32\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS56\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr06.20965\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1848\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e616\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e69,787.53\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e8.42\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e47.23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e80.10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.49\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS57\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr06.20966\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1497\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e498\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e57,418.28\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.81\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e38.20\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e86.85\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.52\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS58\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr06.20967\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2124\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e707\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e80,343.45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e7.23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e42.91\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e83.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.44\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS59\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr07.301\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e492\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e163\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e17,775.59\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.71\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e59.82\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e101.23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.09\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eExtracellular\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS60\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr07.302\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e840\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e279\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e31,555.91\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.51\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e38.73\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e90.82\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.16\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003ecytoskeleton\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS61\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr07.310\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e864\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e287\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e31,435.22\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.08\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e54.96\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e78.22\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS62\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr07.792\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1629\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e542\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e57,453.04\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.83\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e71.21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e81.66\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.19\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eChloroplast\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS63\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr07.2436\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1866\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e621\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e65,669.57\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e49.29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e74.35\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.25\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eChloroplast\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS64\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr07.6241\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2226\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e741\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e81,381.48\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.05\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e41.97\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e72.75\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eChloroplast\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS65\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr07.17266\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1281\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e426\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e45,104.05\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.51\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e45.11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e92.28\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.01\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS66\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr08.538\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e8\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e768\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e255\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e28,993.13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.54\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e47.96\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e91.02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.30\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS67\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr08.539\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e8\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e315\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e104\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e12,074.99\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e7.83\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e30.90\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e88.08\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.30\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS68\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr08.797\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e8\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1626\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e541\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e56,840.37\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.97\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e64.64\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e83.84\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.09\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eChloroplast\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS69\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr08.2682\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e8\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1872\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e623\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e65,848.93\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e45.14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e74.43\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.22\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eChloroplast\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS70\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr08.6673\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e8\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2202\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e733\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e80,848.92\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.08\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e43.98\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e73.41\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.43\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eChloroplast\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS71\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr08.16445\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e8\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1281\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e426\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e45,121.13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.93\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e45.18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e92.51\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.02\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS72\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr09.687\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1842\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e613\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e68,589.89\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.84\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e33.90\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e78.94\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.44\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS73\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr09.4174\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2235\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e744\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e81,957.41\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.37\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e50.29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e78.17\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.41\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS74\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr09.7976\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1688\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e555\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e61,090.27\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e7.34\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e54.21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e80.13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.29\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eMitochondrial\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS75\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr09.8244\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2331\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e776\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e87,199.61\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e50.86\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e79.43\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.47\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS76\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr09.8603\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1944\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e647\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e69,098.49\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.09\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e57.06\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e89.00\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.13\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eChloroplast\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS77\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr09.15553\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2619\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e872\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e99,598.47\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e9.21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e48.73\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e68.76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.80\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS78\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr09.15558\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2154\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e717\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e80,081.80\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e40.40\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e100.54\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.04\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS79\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr09.18506\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1653\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e550\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e61,014.79\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.78\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e48.64\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e83.00\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.27\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS80\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr09.20602\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e762\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e253\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e26,684.72\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e8.81\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e54.37\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e86.48\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e0.15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS81\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr09.21006\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2238\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e745\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e83,316.41\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e8.06\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e55.23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e74.16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.50\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS82\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr09.23497\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1938\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e645\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e72,684.22\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e52.11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e78.82\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.33\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS83\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr10.4059\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2232\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e743\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e81,921.31\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e51.54\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e78.02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.43\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS84\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr10.8058\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1533\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e510\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e55,925.26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.75\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e53.32\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e81.47\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.26\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS85\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr10.8198\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2332\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e777\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e87,100.55\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e7.06\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e52.21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e78.58\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.48\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS86\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr10.8413\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1947\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e648\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e69,326.70\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e56.99\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e88.84\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.14\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eChloroplast\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS87\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr10.15554\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e3745\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e1247\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e140,279.68\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e7.85\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e43.14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e94.60\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.18\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS88\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr10.15580\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e4374\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e1457\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e163,397.12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.91\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e41.48\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e96.62\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.09\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS89\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr10.18541\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1650\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e549\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e60,790.65\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.75\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e48.66\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e84.23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.25\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS90\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr10.21058\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1938\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e645\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e71,993.53\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e53.78\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e77.33\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.36\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS91\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr11.13918\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2124\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e707\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e73,958.89\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.96\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e48.86\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e85.19\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.02\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS92\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr11.7841\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1188\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e395\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e41,432.86\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e48.85\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e91.16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e0.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS93\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr12.7936\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1194\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e397\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e41,756.17\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.51\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e47.25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e89.72\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e0.00\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS94\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr12.14920\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1689\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e562\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e59,783.11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e43.47\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e76.09\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.15\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS95\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr12.17171\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1590\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e529\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e58,652.87\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e51.21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e79.85\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.28\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS96\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr12.20835\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1902\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e633\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e67,251.31\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e50.67\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e85.85\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.11\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eChloroplast\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS97\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr12.20909\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e3210\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e1069\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e119,747.38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.69\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e50.83\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e70.16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.53\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS98\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr13.1397\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1954\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e617\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e64,950.90\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.00\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e51.31\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e78.40\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.15\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS99\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr13.1772\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1662\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e553\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e59,140.81\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e4.91\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e51.88\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e84.07\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.03\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eChloroplast\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS100\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr13.4018\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1422\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e473\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e52,081.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.00\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e42.84\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e89.51\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e0.00\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS101\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr13.4444\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2034\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e677\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e72,099.74\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.94\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e58.15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e89.76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.15\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS102\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr13.4664\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1386\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e461\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e51,964.96\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.85\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e49.29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e95.66\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.14\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS103\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr13.5327\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2433\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e810\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e89,069.16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.94\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e41.10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e71.00\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.41\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003ePeroxisome\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS104\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr13.5332\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2034\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e677\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e74,745.80\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.44\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e53.93\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e81.33\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.40\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS105\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr13.5347\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2022\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e673\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e75,059.17\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.64\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e49.74\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e82.67\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.38\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS106\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr13.5348\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1794\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e597\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e67,243.38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.98\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e41.45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e79.43\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.34\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS107\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr13.5349\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1764\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e587\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e66,531.60\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.92\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e39.33\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e81.62\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.38\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eChloroplast\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS108\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr13.5350\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1908\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e635\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e71,239.02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e38.95\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e81.28\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.36\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS109\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr13.5351\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1938\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e645\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e72,219.26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e41.10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e83.21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.31\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eEndoplasmic reticulum\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS110\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr13.5363\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1935\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e644\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e72,383.69\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e50.29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e79.44\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.35\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS111\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr13.5364\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1791\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e596\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e67,695.12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.61\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e44.43\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e78.56\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.38\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS112\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr13.11647\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2094\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e697\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e73,337.31\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.96\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e46.54\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e86.96\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.02\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS113\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr14.2718\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1857\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e618\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e64,996.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.06\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e49.81\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e79.05\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.13\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS114\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr14.3195\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1650\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e549\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e59,034.80\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e4.88\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e53.80\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e84.99\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.03\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eChloroplast\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS115\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr14.5637\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1356\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e451\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e49,492.96\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.07\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e44.52\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e89.76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.04\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS116\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr14.6237\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2043\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e680\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e72,317.85\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.97\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e58.87\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e89.66\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.17\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS117\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr14.6412\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1341\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e446\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e50,159.74\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.32\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e48.85\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e92.98\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.18\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS118\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr14.6748\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1791\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e596\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e67,580.02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.73\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e43.74\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e80.37\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.34\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS119\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr14.6749\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1935\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e644\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e72,265.53\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e48.81\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e80.33\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.32\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS120\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr14.6760\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1950\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e649\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e73,000.15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.79\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e45.06\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e82.54\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.32\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS121\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr14.6761\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1059\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e352\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e40,175.16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e8.47\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e43.50\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e81.73\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.23\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eChloroplast\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS122\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr14.6762\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1770\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e589\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e66,718.60\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.05\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e37.41\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e81.04\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.41\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eChloroplast\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS123\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr14.6763\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1767\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e588\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e66,323.40\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.63\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e41.52\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e79.47\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.33\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS124\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr14.6764\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1740\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e579\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e63,438.20\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.82\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e55.25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e80.45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.28\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS125\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr14.6765\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2019\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e672\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e74,731.74\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.20\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e53.68\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e80.89\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.42\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS126\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr14.6766\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e2445\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e814\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e89,284.53\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.97\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e39.52\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e70.76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.41\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003ePeroxisome\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS127\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr14.13211\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1686\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e561\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e59,870.24\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e42.88\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e76.06\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.18\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS128\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr14.15240\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1611\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e536\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e59,488.79\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e6.02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e50.40\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e78.82\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.33\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eNuclear\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS129\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr14.17606\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1932\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e643\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e71,926.81\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.50\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e46.77\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e82.10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.28\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cem\u003eEsGRAS130\u003c/em\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eevm.model.Chr14.18646\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e1917\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e638\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e67,437.57\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e5.98\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e51.00\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c9\"\u003e\u003cp\u003e87.19\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c10\"\u003e\u003cp\u003e-0.08\u003c/p\u003e \u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCytoplasmic\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec13\" class=\"Section2\"\u003e\u003ch2\u003e3.2 Phylogenetic tree analysis of the \u003cem\u003eGRAS\u003c/em\u003e gene family in \u003cem\u003eE. sibiricus\u003c/em\u003e\u003c/h2\u003e\u003cp\u003eTo explore the evolutionary relationships of GRAS proteins in \u003cem\u003eE. sibiricus\u003c/em\u003e, a comprehensive phylogenetic analysis was conducted using GRAS protein sequences from four model plants speciesincluding \u003cem\u003eA. thaliana\u003c/em\u003e, \u003cem\u003eO. sativa, B. distachyon\u003c/em\u003e, and \u003cem\u003eT. aestivum\u003c/em\u003e. (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e1\u003c/span\u003e). To further explore the structural complexity of \u003cem\u003eGRAS\u003c/em\u003e gene family, a Neighbor-Joining (NJ) phylogenetic tree was constructed based on protein sequences of 130 \u003cem\u003eEsGRAS\u003c/em\u003e, 34\u003cem\u003eAtGRAS\u003c/em\u003e, 60 \u003cem\u003eOsGRAS\u003c/em\u003e, 78 \u003cem\u003eBdGRAS\u003c/em\u003e and 121 \u003cem\u003eTaGRAST.\u003c/em\u003e The resulting phylogenetic tree classified these GRAS proteins into eleven distinct clades, revealing conserved and divergent evolutionary patterns across species. Notably, many \u003cem\u003eEsGRAS\u003c/em\u003e members clustered closely with \u003cem\u003eTaGRAS\u003c/em\u003e genes from wheat, indicating a strong co-evolutionary relationship between \u003cem\u003eE. sibiricus\u003c/em\u003e and \u003cem\u003eT. aestivum\u003c/em\u003e. Specifically, in the DELLA subfamily, for instance, \u003cem\u003eEsGRAS7\u003c/em\u003e, \u003cem\u003eEsGRAS82\u003c/em\u003e, and \u003cem\u003eEsGRAS97\u003c/em\u003e exhibit high sequence similarity with wheat \u003cem\u003eGRAS\u003c/em\u003e genes, such as \u003cem\u003eTaGRAS43\u003c/em\u003e, \u003cem\u003eTaGRAS18\u003c/em\u003e, \u003cem\u003eTaGRAS99\u003c/em\u003e, and \u003cem\u003eTaGRAS66\u003c/em\u003e, suggesting potential conservation of function and evolutionary significance. Moreover, the analysis reveals a significant expansion of the \u003cem\u003eGRAS\u003c/em\u003e gene family from lower to higher plants, likely driven by extensive gene duplication events. This expansion may have contributed to the evolutionary success of terrestrial plants by facilitating adaptive modifications in traits such as plant height in response to diverse environmental conditions [\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e].\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec14\" class=\"Section2\"\u003e\u003ch2\u003e3.3 Gene structure analysis of the \u003cem\u003eGRAS\u003c/em\u003e gene family in \u003cem\u003eE. sibiricus\u003c/em\u003e\u003c/h2\u003e\u003cp\u003eTo further investigate the functional diversity of \u003cem\u003eGRAS\u003c/em\u003e-associated candidate genes in \u003cem\u003eE. sibiricus\u003c/em\u003e, conserved motifs, domains, and gene structures were analyzed (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e2\u003c/span\u003e). Motif analysis using the MEME Suite enabled the identification of conserved sequence elements associated with the \u003cem\u003eGRAS\u003c/em\u003e domain. This approach facilitated the comprehensive assessment of the sequence conservation among homologous domains s, particularly in relation to the core \u003cem\u003eGRAS\u003c/em\u003e region. Eight conserved motifs were detected across GRAS proteins, with Motif 8 showing the highest degree conservation. The PAT1 subfamily exhibited a relatively stable motif pattern, with most members displaying minimal motif loss. In contrast, other subfamily members displayed substantial variation, including the absence of specific motifs, which may underlie functional divergence among \u003cem\u003eGRAS\u003c/em\u003e subgroups (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e2\u003c/span\u003eA). All \u003cem\u003eEsGRAS\u003c/em\u003e-encoded proteins contain the conserved core \u003cem\u003eGRAS\u003c/em\u003e domain (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e2\u003c/span\u003eB). Notably, several members possess additional functional domains: \u003cem\u003eEsGRAS87\u003c/em\u003e and \u003cem\u003eEsGRAS88\u003c/em\u003e contain additional Rx-N and NB-ARC domains; \u003cem\u003eEsGRAS103\u003c/em\u003e and \u003cem\u003eEsGRAS126\u003c/em\u003e contain an extra SSP160 domain; \u003cem\u003eEsGRAS27\u003c/em\u003e possess a Peptidase-C48 domain; \u003cem\u003eEsGRAS38\u003c/em\u003e contain a PHA03378 domain; \u003cem\u003eEsGRAS77\u003c/em\u003e contain a PLN02983 domain, \u003cem\u003eEsGRAS78\u003c/em\u003e possess an Rx-N domain, \u003cem\u003eEsGRAS97\u003c/em\u003e contain a PMD domain, and\u003cem\u003eEsGRAS98\u003c/em\u003e and \u003cem\u003eEsGRAS113\u003c/em\u003e ( both from the DELLA subfamily) harbor additional DELLA domains. Intron-exon structure analysis revealed that the number of introns among \u003cem\u003eEsGRAS\u003c/em\u003e genes varies from 1 to 9, with a maximum of five exons oserved (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e2\u003c/span\u003eC). Collectively, these findings provide critical insights into the structural conservation and functional diversification of candidate \u003cem\u003eGRAS\u003c/em\u003e genes in \u003cem\u003eE. sibiricus.\u003c/em\u003e The presence of both conserved and subfamily-specific domains, and gene structures suggests their involvement in diverse biological processes, highlighting their evolutionary significance and regulatory potential.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec15\" class=\"Section2\"\u003e\u003ch2\u003e3.4 Chromosomal location and synteny analysis\u003c/h2\u003e\u003cp\u003eThe chromosomal distribution of \u003cem\u003eEsGRAS\u003c/em\u003e genes in \u003cem\u003eE. sibiricus\u003c/em\u003e was determined by mapping the open reading frames (ORFs) of all identified \u003cem\u003eEsGRAS\u003c/em\u003e genes to the reference genome (Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e3\u003c/span\u003eA). The \u003cem\u003eEsGRAS\u003c/em\u003e genes were unevenly distributed across the 14 chromosomes. Specifically, chromosome 14 harbored the highest number of \u003cem\u003eGRAS\u003c/em\u003e genes(18), followed by chromosome 13 with 15 genes, chromosome 2 with 14 genes, chromosome 9 with 11 genes, and chromosomes 1 and 3 (10 each). Chromosome 6 contained 9 genes, chromosomes 5 and 10 each had 8 genes. Chromosomes 4 and 7 contain 7 each, chromosome 8 had 6, chromosome 12 had 5 genes, and chromosome 11 had the fewest, with only 2 genes. Intraspecific synteny analysis identified 41 collinear gene pairs within \u003cem\u003eE. sibiricus\u003c/em\u003e (Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e3\u003c/span\u003eB), demonstrating that a large proportion of \u003cem\u003eEsGRAS\u003c/em\u003e genes are organized in tandem arrays. This pattern is likely attributable to the allopolyploid nature of \u003cem\u003eEsGRAS\u003c/em\u003e, which promotes the retention of duplicated gene srgments. To further elucidate the evolutionary relationships of the \u003cem\u003eEsGRAS\u003c/em\u003e gene family, a comparative synteny map was constructed among \u003cem\u003eA. thaliana\u003c/em\u003e, \u003cem\u003eE. sibiricus\u003c/em\u003e, and \u003cem\u003eT. aestivum\u003c/em\u003e (Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e3\u003c/span\u003eC; Supplementary Fig. S1). Interestingly, \u003cem\u003eE. sibiricus\u003c/em\u003e shares only one orthologous gene pairs with \u003cem\u003eA. thaliana\u003c/em\u003e, whereas shares as many as 88 orthologous gene pairs with wheat. These results indicated a closer evolutionary relationship between \u003cem\u003eE. sibiricus\u003c/em\u003e and \u003cem\u003eT. aestivum\u003c/em\u003e, consistent with their shared evolutionary lineage and higher sequence similarity.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec16\" class=\"Section2\"\u003e\u003ch2\u003e3.5 Protein-protein interaction network analysis of the \u003cem\u003eGRAS\u003c/em\u003e gene family in \u003cem\u003eE. sibiricus\u003c/em\u003e\u003c/h2\u003e\u003cp\u003eTo explore the potential functional associations of EsGRAS proteins, a protein-protein interaction (PPI) network was constructed using STRING database. The analysis revealed a complex interaction landscape, suggesting that \u003cem\u003eGRAS\u003c/em\u003e family proteins are involved in diverse biological processes, including plant hormone signaling, environmental stress responses, and developmental regulation (Fig.\u0026nbsp;\u003cspan refid=\"Fig7\" class=\"InternalRef\"\u003e4\u003c/span\u003e). The resulting network comprised 92 highly interconnected genes within the \u003cem\u003eGRAS\u003c/em\u003e family. Structurally, the network was organized into concentric layers: the inner two circles contained four \u003cem\u003eEsGRAS\u003c/em\u003e genes and nine indirectly associated genes/transcription factors; the third circle included four additional \u003cem\u003eEsGRAS\u003c/em\u003e genes and 25 interacting genes; and the outermost layer contained 14 \u003cem\u003eEsGRAS\u003c/em\u003e genes along with 36 indirectly interacting genes or transcription factors. the first and second circles encompass Key regulatory proteins such as GID1, GA2OX, GA3OX, PAT1, PHYA, and NSP2 were centrally positioned within the network, indicating their prominent roles in \u003cem\u003eGRAS\u003c/em\u003e-mediated pathways. Transcription factors like SOC1 and MOC1 were also integrated into the the interaction network, further supporting the regulatory diversity of EsGRAS proteins. These findings suggest that \u003cem\u003eEsGRAS\u003c/em\u003e genes and their interacting patners may share conserved domains that facilitate functional crosstalk and coregulation. Overall, this network analysis provides valuable insights into the functional roles and interaction dynamics of the \u003cem\u003eGRAS\u003c/em\u003e gene family in \u003cem\u003eE. sibiricus\u003c/em\u003e, offering a comprehensive perspective on their intricate interactions and roles in biological processes, laying a foundation for future functional genomics studies.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec17\" class=\"Section2\"\u003e\u003ch2\u003e3.6 Identification of cis-acting regulatory elements in the promoters of the \u003cem\u003eGRAS\u003c/em\u003e gene family in \u003cem\u003eE.sibiricus\u003c/em\u003e\u003c/h2\u003e\u003cp\u003eUsing Plant CARE database, cis-acting regulatory elements in 2000 bp upstream promoter regions of \u003cem\u003eEsGRAS\u003c/em\u003e genes were identified. A total of 3,499 cis- elements were detected across the \u003cem\u003eEsGRAS\u003c/em\u003e promoters (Fig.\u0026nbsp;\u003cspan refid=\"Fig8\" class=\"InternalRef\"\u003e5\u003c/span\u003eB). Among them, 1,565 were associated with hormone response regulation (Fig.\u0026nbsp;\u003cspan refid=\"Fig8\" class=\"InternalRef\"\u003e5\u003c/span\u003eC). Six types of hormone-responsive motifs were detected: abscisic acid responsive elements (ABRE), methyl jasmonate response elements (CGTCA-motif and TGACG-motif), salicylic acid response elements (TCA-element), and gibberellin response elements (P-box and GARE-motif). Additionally, various stress-responsive elements were identified including drought-inducible elements (MBS), low-temperature response elements (LTR), anaerobic response elements (ARE), and defense and stress response elements (TC-rich repeats) etc. These cis-acting regulatory elements were classified into four major categories: (1) environmental stress response elements, (2) hormone response elements, (3) development-related elements, and (4) light response elements (Fig.\u0026nbsp;\u003cspan refid=\"Fig8\" class=\"InternalRef\"\u003e5\u003c/span\u003eB). Among the environmental stress response elements, AREs were the most abundant, accounting for 33.1% of the total. Within the hormone response category, ABRE motif were dominant, comprising 46.2%, followed by CGTCA-motif and TGACG-motif at 20.4% and 20.3%, respectively. For five development-related elements, the CAT-box element, linked to meristem expression, represented 52.8%, followed by the O2-site, a cis-element involved in zein metabolism regulation, at28.9%. For light-responsive elements, the G-box was the most prevalent (51.8%), followed by the Box-4 motif (15.1%) (Fig.\u0026nbsp;\u003cspan refid=\"Fig8\" class=\"InternalRef\"\u003e5\u003c/span\u003eB). Notably, the distribution of cis-acting regulatory elements was gene-specific. For instance, \u003cem\u003eEsGRAS94\u003c/em\u003e contains highest number of environmental stress-response motifs, whereas \u003cem\u003eEsGRAS51\u003c/em\u003e and \u003cem\u003eEsGRAS58\u003c/em\u003e were enriched with hormone-responsive elements. \u003cem\u003eEsGRAS111\u003c/em\u003e, \u003cem\u003eEsGRAS125\u003c/em\u003e, and \u003cem\u003eEsGRAS87\u003c/em\u003e exhibited higher proportions of development-related elements. \u003cem\u003eEsGRAS10\u003c/em\u003e showed a notable enrichment in light-responsive elements (Fig.\u0026nbsp;\u003cspan refid=\"Fig8\" class=\"InternalRef\"\u003e5\u003c/span\u003eC). This diverse distribution suggests functional specialization of \u003cem\u003eEsGRAS\u003c/em\u003e genes in response to various environmental cues and developmental processes.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec18\" class=\"Section2\"\u003e\u003ch2\u003e3.7 Tissue-specific expression of \u003cem\u003eGRAS\u003c/em\u003e candidate genes in \u003cem\u003eE. sibiricus\u003c/em\u003e\u003c/h2\u003e\u003cp\u003eTo investigate the potential biological functions of \u003cem\u003eGRAS\u003c/em\u003e candidate genes in different tissues of \u003cem\u003eE. sibiricus\u003c/em\u003e, and to determine whether these genes serve as general regulators or participate in tissue-specific developmental pathways regulatory mechanisms, a comprehensive tissue-specific expression analysis was performed (Fig.\u0026nbsp;\u003cspan refid=\"Fig9\" class=\"InternalRef\"\u003e6\u003c/span\u003e). The results revealed distinct spatial expression patterns among various \u003cem\u003eEsGRAS\u003c/em\u003e genes. For example, \u003cem\u003eEsGRAS104\u003c/em\u003e exhibited strong expression in root tissues, suggesting a possible role in root development or nutrient uptake. \u003cem\u003eEsGRAS46\u003c/em\u003e and \u003cem\u003eEsGRAS77\u003c/em\u003e showed high transcript level in stems, while \u003cem\u003eEsGRAS117\u003c/em\u003e demonstrated elevated expression in leaves, indicating involvement in aerial organ differentiation or photosynthetic regulation. A number of genes, including \u003cem\u003eEsGRAS6, EsGRAS12, EsGRAS24, EsGRAS34, EsGRAS56\u003c/em\u003e, \u003cem\u003eEsGRAS57\u003c/em\u003e, \u003cem\u003eEsGRAS64\u003c/em\u003e, \u003cem\u003eEsGRAS78\u003c/em\u003e, \u003cem\u003eEsGRAS103\u003c/em\u003e, \u003cem\u003eEsGRAS116\u003c/em\u003e, \u003cem\u003eEsGRAS121\u003c/em\u003e, and \u003cem\u003eEsGRAS130\u003c/em\u003e, displayed predominant expression levels in spike tissues, implicating them in reproductive development or floral morphogenesis. Notably, several \u003cem\u003eEsGRAS\u003c/em\u003e members (\u003cem\u003eEsGRAS8, EsGRAS16, EsGRAS50, EsGRAS72, EsGRAS75\u003c/em\u003e, and \u003cem\u003eEsGRAS95\u003c/em\u003e) showed predominant expression in seedlings, highlighting their potential role during early growth stages. Similarly, \u003cem\u003eEsGRAS14, EsGRAS41, EsGRAS71\u003c/em\u003e, and \u003cem\u003eEsGRAS74\u003c/em\u003e were enriched in young roots, whereas \u003cem\u003eEsGRAS4\u003c/em\u003e, \u003cem\u003eEsGRAS13, EsGRAS15, EsGRAS36, EsGRAS49, EsGRAS107\u003c/em\u003e, and \u003cem\u003eEsGRAS111\u003c/em\u003e were highly expressed in seeds, suggesting involvement in seed development or dormancy regulation. Notably, consistent with observations in wheat and other cereal crops, most \u003cem\u003eGRAS\u003c/em\u003e genes exhibited elevated expression in the seedling, indicated that \u003cem\u003eGRAS\u003c/em\u003e family genes in \u003cem\u003eE. sibiricus\u003c/em\u003e may play a conserved and crucial regulatory roles during plant early development stages.\u003c/p\u003e\u003cp\u003e\u003cb\u003e3.8 Expression of\u003c/b\u003e \u003cb\u003eGRAS\u003c/b\u003e \u003cb\u003ecandidate genes in\u003c/b\u003e \u003cb\u003eE. sibiricus\u003c/b\u003e \u003cb\u003ein response to salt, drought, ABA, and GA stress\u003c/b\u003e\u003c/p\u003e\u003cp\u003eTo assess the involvement of \u003cem\u003eGRAS\u003c/em\u003e genes in the stress response, their expression profiles were examined under salt, drought, abscisic acid (ABA), and gibberellin (GA) treatments. Two-week-old \u003cem\u003eE. sibiricus\u003c/em\u003e plants were hydroponically treated with 200 mM NaCl (salt stress), 20% PEG6000 (drought stress), 0.1 mM abscisic acid (ABA), or 0.1 mM GA for up to 100 hours. Samples were collected at 3, 6, 12, 24, 48, 72, and 100 hours post-treatment. For each treatment and time point, three biological replicates were analyzed using qRT-PCR technology to quatify gene expression dynamics. Under salt stress condition, the majority of \u003cem\u003eGRAS\u003c/em\u003e genes exhibited a gradual downregulation trend over time. However, a subset of genes\u0026mdash;\u003cem\u003eEsGRAS5\u003c/em\u003e, \u003cem\u003eEsGRAS11\u003c/em\u003e, \u003cem\u003eEsGRAS37\u003c/em\u003e, \u003cem\u003eEsGRAS98\u003c/em\u003e, and \u003cem\u003eEsGRAS114\u003c/em\u003e\u0026mdash;initially showed increased expression, followed by a decline. Notably, \u003cem\u003eEsGRAS5\u003c/em\u003e, \u003cem\u003eEsGRAS11\u003c/em\u003e, and \u003cem\u003eEsGRAS37\u003c/em\u003e, all members of the SHR subfamily, displayed a consistent expression pattern during salt stress, suggesting a shared regulatory mechanism. Among these, \u003cem\u003eEsGRAS128\u003c/em\u003e exhibited the most pronounced induction, with expression levels increasing up to 4.8-fold (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e7\u003c/span\u003e), indicating its potential role as a positive regulator in salt stress responses and represents a promising candidate for future studies on salt adaptation mechanisms. Drought stress elicited a distinct expression pattern, with many \u003cem\u003eGRAS\u003c/em\u003e genes displayed early upregulation followed by a progressive decline. Specifically, Genes such as \u003cem\u003eEsGRAS37\u003c/em\u003e, \u003cem\u003eEsGRAS45\u003c/em\u003e, \u003cem\u003eEsGRAS80\u003c/em\u003e, \u003cem\u003eEsGRAS111\u003c/em\u003e, \u003cem\u003eEsGRAS128\u003c/em\u003e, \u003cem\u003eEsGRAS90\u003c/em\u003e, and \u003cem\u003eEsGRAS95\u003c/em\u003e were significantly induced during the early stages of drought exposure. Particularly, \u003cem\u003eEsGREAS90\u003c/em\u003e and \u003cem\u003eEsGRAS95\u003c/em\u003e showed substantial expression increases, reaching 8.5-fold and 10.5-fold, respectively (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e7\u003c/span\u003e). These observations demonstrated that these genes may contribute to osmotic stress adaptation and root developmental regulation under drought conditions.\u003c/p\u003e\u003cp\u003eTogether, these findings underscore the critical roles of \u003cem\u003eGRAS\u003c/em\u003e gene family members in modulating abiotic stress responses in \u003cem\u003eE. sibiricus\u003c/em\u003e, and highlight specific candidates such as \u003cem\u003eEsGRAS128\u003c/em\u003e, \u003cem\u003eEsGRAS90\u003c/em\u003e, and \u003cem\u003eEsGRAS95\u003c/em\u003e for further functional characterization in stress-resilience pathways.\u003c/p\u003e\u003cp\u003eUnder ABA treatment, multiple \u003cem\u003eEsGRAS\u003c/em\u003e genes\u0026mdash;including \u003cem\u003eEsGRAS14\u003c/em\u003e, \u003cem\u003eEsGRAS45\u003c/em\u003e, \u003cem\u003eEsGRAS80\u003c/em\u003e, \u003cem\u003eEsGRAS83\u003c/em\u003e, \u003cem\u003eEsGRAS84\u003c/em\u003e, \u003cem\u003eEsGRAS93\u003c/em\u003e, \u003cem\u003eEsGRAS98\u003c/em\u003e, \u003cem\u003eEsGRAS108\u003c/em\u003e, \u003cem\u003eEsGRAS118\u003c/em\u003e, and \u003cem\u003eEsGRAS113\u003c/em\u003e\u0026mdash;displayed transient upregulation followed by a subsequent decline (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e8\u003c/span\u003e). Notably, \u003cem\u003eEsGRAS5\u003c/em\u003e and \u003cem\u003eEsGRAS120\u003c/em\u003e showed significant and sustained induction, with transcription levels increasing by 4.9-fold and 9.6-fold, respectively, compared to per-treatment expression levels. Intriguingly, induction pattern of \u003cem\u003eEsGRAS95\u003c/em\u003e under ABA treatment was consistent with its response to drought stress, suggesting a possible role of \u003cem\u003eGRAS\u003c/em\u003e genes in ABA-dependent stress signaling pathways. GA regulates a broad range of plant growth and developmental processes, including stem elongation, tillering, and floral organ development. Under GA treatment, several \u003cem\u003eEsGRAS\u003c/em\u003e genes\u0026mdash;including \u003cem\u003eEsGRAS5\u003c/em\u003e, \u003cem\u003eEsGRAS8\u003c/em\u003e, \u003cem\u003eEsGRAS22\u003c/em\u003e, \u003cem\u003eEsGRAS24\u003c/em\u003e, \u003cem\u003eEsGRAS45\u003c/em\u003e, \u003cem\u003eEsGRAS99\u003c/em\u003e, and \u003cem\u003eEsGRAS100\u003c/em\u003e\u0026mdash;exhibited significant downregulation relative to pre-treatment levels. In contrast, \u003cem\u003eEsGRAS113\u003c/em\u003e expressed a marked upregulation,with transcription levels increasing by 2.1-fold (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e8\u003c/span\u003e). These differential expression patterns indicated that \u003cem\u003eGRAS\u003c/em\u003e family members in \u003cem\u003eE. sibiricus\u003c/em\u003e likely play diverse roles in GA signaling transduction. Collectively, the results underscore the involvement of \u003cem\u003eEsGRAS\u003c/em\u003e genes in gibberellin-responsive pathways, reinforcing their functional significance in regulating plant growth and stress adaptation.\u003c/p\u003e\u003c/div\u003e"},{"header":"4. Discussion","content":"\u003cp\u003eIn this study, a total of 130 \u003cem\u003eGRAS\u003c/em\u003e transcription factor genes were identified from \u003cem\u003eE. sibiricus\u003c/em\u003e genome and categorized into eleven distinct groups based on phylogenetic relationships. Comparative genomic analysis demonstrated that the \u003cem\u003eGRAS\u003c/em\u003e gene family reveals exhibits substantial variation in copy number across different species, with 34 members reported in \u003cem\u003eA. thaliana\u003c/em\u003e [\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e], 48 in \u003cem\u003eBrachypodium distachyon\u003c/em\u003e [\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e], 55 in \u003cem\u003eMelilotus albus\u003c/em\u003e [\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e], 55 in \u003cem\u003eMedicago sativa\u003c/em\u003e [\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e], and 62 in \u003cem\u003eHordeum vulgare\u003c/em\u003e [\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e]. Despite species-specific differences in gene number, the overall structure features and motif compositions of of \u003cem\u003eEsGRAS\u003c/em\u003e genes were largely conserved. All \u003cem\u003eEsGRAS\u003c/em\u003e proteins contained the characteristic \u003cem\u003eGRAS\u003c/em\u003e domain, and two members \u003cem\u003eEsGRAS\u003c/em\u003e98 and \u003cem\u003eEsGRAS113\u003c/em\u003e additionally possessed a DELLA domain, consistent with previous reports in monocots and dicots [\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eGene duplication is recognized as a primary mechanism driving the expression and diversification of transcription factor families in plants [\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e]. In \u003cem\u003eE. sibiricus\u003c/em\u003e, the \u003cem\u003eGRAS\u003c/em\u003e gene family comprises both single-copy and multicopy genes. Multiple members, including \u003cem\u003eEsGRAS2\u003c/em\u003e, \u003cem\u003eEsGRAS4\u003c/em\u003e, \u003cem\u003eEsGRAS5\u003c/em\u003e, \u003cem\u003eEsGRAS22\u003c/em\u003e, \u003cem\u003eEsGRAS30\u003c/em\u003e, \u003cem\u003eEsGRAS46\u003c/em\u003e, \u003cem\u003eEsGRAS51\u003c/em\u003e, \u003cem\u003eEsGRAS53\u003c/em\u003e, \u003cem\u003eEsGRAS55\u003c/em\u003e, \u003cem\u003eEsGRAS63\u003c/em\u003e, \u003cem\u003eEsGRAS91\u003c/em\u003e, \u003cem\u003eEsGRAS94\u003c/em\u003e, \u003cem\u003eEsGRAS101\u003c/em\u003e, \u003cem\u003eEsGRAS109\u003c/em\u003e, \u003cem\u003eEsGRAS110\u003c/em\u003e, \u003cem\u003eEsGRAS114\u003c/em\u003e, and \u003cem\u003eEsGRAS118\u003c/em\u003e, exhibit gene duplication events and are conserved across other plant species, suggesting that they have undergone evolutionary retention due to functional significance. Chromosomal mapping of \u003cem\u003eEsGRAS\u003c/em\u003e genes revealed a non-random distribution pattern, with multiple members located in distinct chromosomal regions (Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e3\u003c/span\u003e). This uneven distribution implies the occurrence of large-scale genomic events such as whole-genome duplication (WGD) and segmental duplication. Based on synteny and gene collinearity analysis, the majority of \u003cem\u003eEsGRAS\u003c/em\u003e genes appear to have originated from WGD events, whereas a subset genes\u0026mdash;such as \u003cem\u003eEsGRAS3\u003c/em\u003e, \u003cem\u003eEsGRAS7\u003c/em\u003e, \u003cem\u003eEsGRAS12\u003c/em\u003e, \u003cem\u003eEsGRAS17\u003c/em\u003e, \u003cem\u003eEsGRAS22\u003c/em\u003e, \u003cem\u003eEsGRAS31\u003c/em\u003e, \u003cem\u003eEsGRAS35\u003c/em\u003e, \u003cem\u003eEsGRAS37\u003c/em\u003e, \u003cem\u003eEsGRAS42\u003c/em\u003e, \u003cem\u003eEsGRAS45\u003c/em\u003e, \u003cem\u003eEsGRAS47\u003c/em\u003e, \u003cem\u003eEsGRAS48\u003c/em\u003e, \u003cem\u003eEsGRAS56\u003c/em\u003e, \u003cem\u003eEsGRAS62\u003c/em\u003e, \u003cem\u003eEsGRAS66\u003c/em\u003e, \u003cem\u003eEsGRAS68\u003c/em\u003e, \u003cem\u003eEsGRAS74\u003c/em\u003e, \u003cem\u003eEsGRAS76\u003c/em\u003e, \u003cem\u003eEsGRAS83\u003c/em\u003e, \u003cem\u003eEsGRAS95\u003c/em\u003e, \u003cem\u003eEsGRAS102\u003c/em\u003e, \u003cem\u003eEsGRAS108\u003c/em\u003e, \u003cem\u003eEsGRAS113\u003c/em\u003e, and \u003cem\u003eEsGRAS116\u0026mdash;\u003c/em\u003elikely resulted fromsegmental duplications (Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e3\u003c/span\u003e). These findings suggested that the expansion of \u003cem\u003eGRAS\u003c/em\u003e gene family in \u003cem\u003eE. sibiricus\u003c/em\u003e was predominantly driven by WGD, supplemented by localized segmental duplication. Furthermore, eight \u003cem\u003eGRAS\u003c/em\u003e gene clusters were identified across chromosomes, which may explain the relatively high \u003cem\u003eGRAS\u003c/em\u003e gene number observed in \u003cem\u003eE. sibiricus.\u003c/em\u003e Cross-species collinearity analysis revealed that approximately 67.69% of \u003cem\u003eEsGRAS\u003c/em\u003e genes exhibit orthologous relationships with \u003cem\u003eGRAS\u003c/em\u003e genes in wheat (\u003cem\u003eT. aestivum\u003c/em\u003e), whereas only 2.94% share orthology with those in \u003cem\u003eA. thaliana\u003c/em\u003e. This sharp contrast highlighted that significant functional divergence has occurred between monocot and dicot \u003cem\u003eGRAS\u003c/em\u003e gene lineages, possibly driven by distinct selection pressures and adaptive requirements.\u003c/p\u003e\u003cp\u003eIn plants, the exon-intron structure of \u003cem\u003eGRAS\u003c/em\u003e genes exhibits poor conservation, with exon numbers showing notable variation. In \u003cem\u003eE. sibiricus\u003c/em\u003e, \u003cem\u003eEsGRAS\u003c/em\u003e genes contain 1 to 9 exons (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e2\u003c/span\u003e), a pattern comparable to that observed in other species such as \u003cem\u003eHibiscus hamabo\u003c/em\u003e (1\u0026ndash;4 exons) [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e], \u003cem\u003eSecale cereale\u003c/em\u003e (1\u0026ndash;6 exons) [\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e], and \u003cem\u003ePassiflora edulis\u003c/em\u003e (1\u0026ndash;4 exons) [\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e]. Interestingly, even among homologous gene pairs, exon number often differs substantially. For example, Es\u003cem\u003eGRAS109\u003c/em\u003e possesses a single exon, whereas Es\u003cem\u003eGRAS97\u003c/em\u003e contains 9. This discrepancies implied exon gain or loss events have occurred during evolution, contributing to structural variation. Despite the overall conservation of motif composition and arrangement among \u003cem\u003eEsGRAS\u003c/em\u003e proteins (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e2\u003c/span\u003e), a high degree of motif diversity was observed. Most \u003cem\u003eGRAS\u003c/em\u003e proteins contains five canonical domains in the C-terminal region: LHRⅠ, VHIID, LHRⅡ, PFYRE, and SAW. The VHIID domain, which is central and contains highly conserved histidine and aspartic acid residues, is believed to play a critical role in protein\u0026ndash;protein interactions and functional specificity. In some cases, non-polar residues such as leucine, isoleucine, and valine substitute for the conserved amino acids within this region, possibly due to neutral mutations that do not compromise the overall structure. Notably, some SCR subfamily memebers, such as \u003cem\u003eEsGRAS22\u003c/em\u003e, \u003cem\u003eEsGRAS23\u003c/em\u003e, and \u003cem\u003eEsGRAS47\u003c/em\u003e, lack key residues in the VHIID domain, a feature also reported in \u003cem\u003eRaphanus sativus\u003c/em\u003e[\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e], suggesting subfamily-specific structural divergence. These structural differences collectively indicated that the structural diversity among \u003cem\u003eEsGRAS\u003c/em\u003e gene is likely correlated with their functional specialization.\u003c/p\u003e\u003cp\u003eCis-element analysis identified 22 distinct types of regulatory elements associated with environmental stress response, hormone regulation, developmental processes, and light response (Fig.\u0026nbsp;\u003cspan refid=\"Fig8\" class=\"InternalRef\"\u003e5\u003c/span\u003e). Universally prevalent elements include ABRE, CAT-box, MRE, and GT1-motif [\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e]. Among these, ABRE and CAT-box are functionally linked to meristem development and hypoxic stress responses, whereas MRE and GT1-motif operate within light-responsive regulatory pathways [\u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e]. Weits et al. [\u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e] and Shukla et al. [\u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e] demonstrated that apical meristem development during hypoxia is essential for initiating new leaf formation. Under such conditions, light serves as a signaling factor that activates stem cells via cytokinin (CK) signaling and associated metabolic processes[\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e]. The abundance of developmental elements (ABRE, CAT-box) in \u003cem\u003eGRAS\u003c/em\u003e promoters suggests their involvement in plant hormones signalling [\u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e52\u003c/span\u003e, \u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e], particularly in response to GA, which influences plant height and morphology. Furthermore, key cis-acting regulatory elements (GT-1-motif, CAT\u0026ndash;box, GATAT-motif) have been identified in \u003cem\u003eE. sibiricus GRAS\u003c/em\u003e gene promoters [\u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e54\u003c/span\u003e]. Light-responsive elements such as the GT1-motif and MRE were also prevalent, reinforcing the notion that \u003cem\u003eGRAS\u003c/em\u003e gene expression is tightly coordinated with photomorphogenic pathways. The enrichment of GA-responsive motifs, including the GARE and P-box, is consistent with the known involvement of \u003cem\u003eGRAS\u003c/em\u003e genes\u0026mdash;particularly those from the DELLA subfamily\u0026mdash;in gibberellin signaling [\u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e55\u003c/span\u003e]. Additionally, binding motifs for other transcription factors (e.g., GTAC elements recognized by SPL proteins) were identified, suggesting complex transcriptional regulation [\u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e56\u003c/span\u003e]. Given the crucial role of \u003cem\u003eGRAS\u003c/em\u003e genes in plant growth and development, future research should focus on functionally validating these cis-regulatory elements and exploring \u003cem\u003eGRAS\u003c/em\u003e interactions to gain new insights into plant growth, morphology, and developmental processes.\u003c/p\u003e\u003cp\u003eGene family members often possess conserved functional domains and structural features, enabling them to participate collaboratively in complex regulatory pathways and biological functions. Proteins within the same family frequently act in concert, much like batons in a relay race, forming intricate signaling cascades that control essential biological processes such as cell division, differentiation, organogenesis and apoptosis. In this context, protein-protein interaction (PPI) network analysis serves as a powerful tool to elucidate functional relationships among family members and their associated signaling partners, In the present study, key interaction nodes were identified within the GRAS protein network in \u003cem\u003eE. sibiricus\u003c/em\u003e, including GID1, GA2OX, GA3OX, PAT1, PHYA, and NSP2. These components are centrally involved in gibberellin (GA) and light signaling pathways, as well as developmental and stress response networks. GID1 functions as a GA receptor, initiating DELLA protein degradation and thus activating GA-responsive gene expression. Its elevated expression during early panicle development and its coordinated regulation with the F-box protein GID2 and DELLA (e.g., OsSLR1) indicate a tightly regulated GA\u0026ndash;DELLA signaling module involved in reproductive development and grain morphology. \u003cem\u003eGRAS\u003c/em\u003e family members such as \u003cem\u003eGS6\u003c/em\u003e and \u003cem\u003eSCL6-IIb\u003c/em\u003e, which exhibit co-expression with GID1, have been implicated in the modulation of grain type and plant stature [\u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e56\u003c/span\u003e]. The GA oxidase genes, \u003cem\u003eGA2OX\u003c/em\u003e and \u003cem\u003eGA3OX\u003c/em\u003e, regulate GA homeostasis by controlling the biosynthesis and deactivation of bioactive GAs. Their manipulation has demonstrated profound phenotypic consequences. For example, overexpression of \u003cem\u003eGA2OX\u003c/em\u003e in maize and rice results in dwarfism and increased tillering, while \u003cem\u003eAtGA2OX\u003c/em\u003e overexpression delays \u003cem\u003eA. thaliana\u003c/em\u003e flowering. \u003cem\u003eGA3OX2\u003c/em\u003e mutants exhibit impaired flowering and sterility, whereas \u003cem\u003eGA3OX3\u003c/em\u003e and \u003cem\u003eGA1OX1\u003c/em\u003e mutants affect active GA levels and grain development [\u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e57\u003c/span\u003e, \u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e58\u003c/span\u003e]. These findings underscore the significance of GA metabolic regulation in shaping plant architecture and reproductive success. Photoreceptor-related components such as PAT1 and PHYA also occupy central positions in the PPI network. PAT1 mediates far-red light signaling, influencing photomorphogenesis and developmental transitions, including axillary bud formation and floral induction [\u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e59\u003c/span\u003e]. PHYA PHYA demonstrates light quality\u0026ndash;dependent expression, with studies in tea (\u003cem\u003eCamellia sinensis\u003c/em\u003e ) showing that specific wavelengths (e.g., purple or red light)markedly alter PHYA and PHYB expression profiles, thereby impacting photosynthetic and circadian regulation [\u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e60\u003c/span\u003e]. NSP2, a \u003cem\u003eGRAS\u003c/em\u003e family transcriptional regulator, governs the symbiotic signaling by regulating genes associated with symbiotic and strigolactone biosynthesis and root nodule formation Its role extends beyond legumes, impacting arbuscular mycorrhizal fungal symbiosis and nutrient uptake in diverse plant species [\u003cspan citationid=\"CR61\" class=\"CitationRef\"\u003e61\u003c/span\u003e]. Additional \u003cem\u003eGRAS\u003c/em\u003e network components such as SOC1 and MOC1 are also functionally relevant. MOC1, primarily expressed in axillary meristems, is indisoesable for axillary bud initiation and outgrowth. \u003cem\u003emoc1\u003c/em\u003e mutants display a phenotype lacking tillers and a solitary main stem, highlighting its role in shoot branching [\u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e62\u003c/span\u003e]. SOC1 facilitates flowering by upregulating key floral meristem genes such as \u003cem\u003eLEAFY (LFY)\u003c/em\u003e and \u003cem\u003eAPETALA1 (AP1)\u003c/em\u003e and forms a dimer with FUL to activate LFY expression, further regulating floral organogenesis and meristem determinacy [\u003cspan citationid=\"CR63\" class=\"CitationRef\"\u003e63\u003c/span\u003e]. Identifying these critical hub proteins is essential for elucidating cellular signaling pathways and central metabolic regulation. Collectively, these results suggest that the \u003cem\u003eGRAS\u003c/em\u003e protein family interacts extensively with multiple hormone and environmental signaling pathways. The identification of hub proteins such as GID1, GA2OX, PAT1, and NSP2 advances our understanding of the \u003cem\u003eGRAS\u003c/em\u003e interactome and provides a mechanistic framework for the regulation of key developmental and adaptive processes in \u003cem\u003eE. sibiricus\u003c/em\u003e.\u003c/p\u003e\u003cp\u003eIn living organisms, gene expression precedes and is essential for gene function, with expression patterns intricately linked to gene roles [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. The \u003cem\u003eGRAS\u003c/em\u003e gene family is widely involved in plant growth and development, playing a key regulatory roles across various developmental stages\u0026mdash;from seedlings to maturity [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e, \u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e]. In kiwifruit, genes such as \u003cem\u003eAcGRAS6\u003c/em\u003e and \u003cem\u003eAcGRAS21\u003c/em\u003e are upregulated under salt stress. These genes, involved in metabolic and biosynthetic processes, enhance salt tolerance by positively modulating salt stress responses and mitigating salt-induced damage [\u003cspan citationid=\"CR64\" class=\"CitationRef\"\u003e64\u003c/span\u003e]. Under drought stress, \u003cem\u003eGRAS\u003c/em\u003e genes can strengthen plant drought resistance by maintaining ion homeostasis. For instance, In soybean, overexpression of \u003cem\u003eGmFER1\u003c/em\u003e enhances drought adaptability by upregulating the Na⁺ transporter \u003cem\u003eGmSOS1\u003c/em\u003e, thereby promoting Na⁺ efflux and increasing intracellular K⁺ and Ca\u0026sup2;⁺ levels to stabilize ion balance [\u003cspan citationid=\"CR65\" class=\"CitationRef\"\u003e65\u003c/span\u003e]. In \u003cem\u003eHibiscus hamabo\u003c/em\u003e, \u003cem\u003eHhGRAS14\u003c/em\u003e expression is significantly upregulated by drought, salt stress, and ABA treatment. Silencing \u003cem\u003eHhGRAS14\u003c/em\u003e reduces drought and salt tolerance, whereas its overexpression in \u003cem\u003eA. thaliana\u003c/em\u003e enhances tolerance and decreases ABA sensitivity, underscoring its integrative role in ABA signaling in stress responses [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e]. NGR5, a key component in gibberellin signaling pathway, interacts with the GA receptor GID1. GA promotes NGR5 degradation, leading to reduced H3K27me3 epigenetic modifications and activation of downstream target genes, thereby inhibiting rice tillering [\u003cspan citationid=\"CR66\" class=\"CitationRef\"\u003e66\u003c/span\u003e]. Overall, \u003cem\u003eGRAS\u003c/em\u003e genes are crucial player in plant responses to abiotic stresses. This study demonstrates that \u003cem\u003eEsGRAS128\u003c/em\u003e was continuously upregulated under salt stress, suggesting a potential role as a key negative regulator. This makes \u003cem\u003eEsGRAS128\u003c/em\u003e a promising target for future exploration in salt stress adaptation and genetic improvement strategies. Similarly, in rice, \u003cem\u003eOsGRAS10\u003c/em\u003e is upregulated under salt stress and may contribute to early-stage salt stress response by regulating ion homeostasis and antioxidant defense systems [\u003cspan citationid=\"CR67\" class=\"CitationRef\"\u003e67\u003c/span\u003e]. In maize, the heterologous expression of \u003cem\u003eZmGRAS72\u003c/em\u003e in \u003cem\u003eA. thaliana\u003c/em\u003e significantly enhances drought and salt stress tolerance, increases chlorophyll content, reduces malondialdehyde levels, and boosts peroxidase activity [\u003cspan citationid=\"CR68\" class=\"CitationRef\"\u003e68\u003c/span\u003e]. In this study, \u003cem\u003eEsGRAS90\u003c/em\u003e and \u003cem\u003eEsGRAS95\u003c/em\u003e were significantly upregulated under drought stress. In wheat, six \u003cem\u003eTaGRAS\u003c/em\u003e genes -\u003cem\u003eTaGRAS8\u003c/em\u003e, \u003cem\u003eTaGRAS27\u003c/em\u003e, \u003cem\u003eTaGRAS53\u003c/em\u003e, \u003cem\u003eTaGRAS54\u003c/em\u003e, \u003cem\u003eTaGRAS98\u003c/em\u003e, and \u003cem\u003eTaGRAS122\u003c/em\u003e)- showed 10-fold induction under drought indicating potential roles in enhancing drought resistance by regulating related physiological processes [\u003cspan citationid=\"CR69\" class=\"CitationRef\"\u003e69\u003c/span\u003e]. Notablly, \u003cem\u003eEsGRAS95\u003c/em\u003e was also upregulated under ABA treatment, mirroring its drought-induced xpression pattern and suggesting a possible role in ABA-mediated stress responses. In eucalyptus, 18 \u003cem\u003eGRAS\u003c/em\u003e genes showed differential expression under ABA and GA3 treatment, with 11 upregulated. Among them, \u003cem\u003eEgrGRAS68\u003c/em\u003e, \u003cem\u003eEgrGRAS34\u003c/em\u003e, and \u003cem\u003eEgrGRAS13\u003c/em\u003e showed more than four-fold increases compared to controls, indicating they may be involved in ABA signaling and drought resistance [\u003cspan citationid=\"CR70\" class=\"CitationRef\"\u003e70\u003c/span\u003e]. In tomato, \u003cem\u003eSlGRAS4\u003c/em\u003e enhances drought tolerance by directly regulating the ABA signaling gene \u003cem\u003eSlSnRK2.4\u003c/em\u003e [\u003cspan citationid=\"CR71\" class=\"CitationRef\"\u003e71\u003c/span\u003e]. Similarly, in \u003cem\u003eH. hamabo\u003c/em\u003e, \u003cem\u003eHhGRAS14\u003c/em\u003e mediates drought and salt tolerance through ABA signaling integration [\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e]. Under GA treatment, \u003cem\u003eEsGRAS113\u003c/em\u003e was significantly up-regulated. As a member of the DELLA subfamily, this observation is consistent with previously reported roles of DELLA proteins in GA signal transduction, plant growth, and stress adaptation [\u003cspan citationid=\"CR72\" class=\"CitationRef\"\u003e72\u003c/span\u003e]. In \u003cem\u003eA. thaliana\u003c/em\u003e, DELLA subfamily members (e.g., GAI, RGA, RGL1,RGL2) act as negative regulators of GA negatively regulate GA signaling. They restrict plant growth by inhibiting GA signals, a process reversed by GA-induced degradation of DELLA proteins. For instance, RGA and GAI inhibit stem elongation and leaf expansion, while \u003cem\u003eRGL1/RGL2\u003c/em\u003e affect seed germination in \u003cem\u003eA. thaliana\u003c/em\u003e [\u003cspan citationid=\"CR73\" class=\"CitationRef\"\u003e73\u003c/span\u003e]. Based on these fondings, we propose that the \u003cem\u003eGRAS\u003c/em\u003e gene family plays a crucial role in abiotic stress resistance in \u003cem\u003eE. sibiricus\u003c/em\u003e. Specifically, \u003cem\u003eEsGRAS128, EsGRAS90, EsGRAS95\u003c/em\u003e, and \u003cem\u003eEsGRAS113\u003c/em\u003e may function as key mediators of stress responses.\u003c/p\u003e"},{"header":"5. conclusion","content":"\u003cp\u003eThis study represents the first genome-wide investigation of the \u003cem\u003eGRAS\u003c/em\u003e gene family in \u003cem\u003eE. sibiricus\u003c/em\u003e, identifying 130 \u003cem\u003eEsGRAS\u003c/em\u003e members primarily expanded through segmental duplications. Bioinformatic analyses revealed fundamental genetic characteristics, including conserved protein sequences and structures, hormone/stress-responsive cis-elements in \u003cem\u003eEsGRAS\u003c/em\u003e promoters, and regulatory interactions through protein-protein networks with phytohormone regulators (GID1, GA2OX, GA3OX), light sensors (PAT1, PHYA), and symbiosis factor NSP2. Expression profiling under four abiotic stresses demonstrated significant induction of \u003cem\u003eEsGRAS90\u003c/em\u003e, \u003cem\u003eEsGRAS95\u003c/em\u003e, \u003cem\u003eEsGRAS128\u003c/em\u003e, and \u003cem\u003eEsGRAS113\u003c/em\u003e. Collectively, this study elucidates the genetic evolution and biological functions of \u003cem\u003eEsGRAS\u003c/em\u003e genes, establishing a foundation for future functional characterization and stress-adaptation applications.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cp\u003e\u003cem\u003eGRAS\u003c/em\u003e\u0026nbsp; \u0026nbsp;GAI \u0026nbsp; \u0026nbsp;RGA \u0026nbsp; SCR\u003c/p\u003e\n\u003cp\u003eGAI \u0026nbsp; Gibberellic Acid Insensitivity\u003c/p\u003e\n\u003cp\u003eRGA \u0026nbsp; Repressor of GA1-3 mutant\u003c/p\u003e\n\u003cp\u003eSCR \u0026nbsp; Scarecrow\u003c/p\u003e\n\u003cp\u003eMW \u0026nbsp; Molecular weight\u003c/p\u003e\n\u003cp\u003ePI \u0026nbsp; isoelectric point\u003c/p\u003e\n\u003cp\u003eABA \u0026nbsp; abscisic acid\u003c/p\u003e\n\u003cp\u003eGA \u0026nbsp; gibberellin\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis article does not contain any studies involving human participants or animals performed by the authors. These methods were carried out by relevant guidelines and regulations. \u003cem\u003eE. sibiricus\u003c/em\u003e used in this study is a prevalent wild species in the Qinghai area. Based on international standards, all the experimental research and field studies on plants, including the collection of plant material were approved by Institute of Animal Sciences. These materials are stored in Institute of Animal Sciences of Chinese Academy of Agricultural Sciences.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and materials\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe genome sequences of \u003cem\u003eA. thaliana, O. sativa, B. distachyon, and T. aestivum\u003c/em\u003e were downloaded from phytozome database (https://phytozome-next.jgi.doe.gov/). The datasets supporting the results of this article are included in the article and Additional files.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis work was supported by the National Key Research and Development Program of China (2023YFD1200303), the earmarked fund for China Agriculture Research System (CARS-34), the Aricultural Germplasm Conservation Services (22250241), the Key Research and Development Pro gram of the Xinjiang Uygur Autonomous Region (2023B02031), and the Xinjiang Graduate Student Scientific Research Innovation Program (XJ2025G108).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors' contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eperformed the experiments with the help of D.Y., L.M., X.M., J.T., X.M., K.X., and W.L. analyzed the sequencing data; X.W., J.T., D.Y., Z.J., W.L., M.H., and W.L. designed the experiments, interpreted the results, and wrote the manuscript. All authors read and approved of the final manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe thank all our colleagues for providing useful discussions and technical assistance. We are very grateful to the editor and reviewers for critically evaluating the manuscript and providing constructive comments for its improvement.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting Interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no conflict of interest.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eLin J, Wu J, Zhang D, Cai X, Du L, Lu L, Liu C, Chen S, Yao Q, Xie S, Xu X, Wang X, Liu R, Qin Y, Zheng P. 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24(3):404-416.\u003c/li\u003e\n\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":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"bmc-genomics","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"gics","sideBox":"Learn more about [BMC Genomics](http://bmcgenomics.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/gics","title":"BMC Genomics","twitterHandle":"#BMCGenomics","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"E. sibiricus, GRAS gene family, evolutionary relationships, gene expression, abiotic stress","lastPublishedDoi":"10.21203/rs.3.rs-7355432/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7355432/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground: \u003c/strong\u003e\u003cem\u003eElymus sibiricus\u003c/em\u003e is widely utilized for establishing of high-yield artificial grasslands due to its remarkable productivity and strong resistance to environmental stresses, making it an excellent forage species. \u003cem\u003eGRAS\u003c/em\u003e transcription factors play a pivotal role in regulating plant growth, development, and responses to abiotic stress. Although the \u003cem\u003eGRAS\u003c/em\u003e gene family has been identified in various plant species, its identification and function in \u003cem\u003eE. sibiricus\u003c/em\u003e remain largely unexplored.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResult: \u003c/strong\u003eA comprehensive genome-wide analysis Identified a total of 130 \u003cem\u003eEsGRAS\u003c/em\u003e genes in \u003cem\u003eE. sibiricus\u003c/em\u003e. Comprehensive analyses, including chromosomal distribution, gene structure, conserved motifs, cis-acting regulatory elements and evolutionary relationships, were conducted. Protein-protein interaction network analysis predicted that GID1, GA2OX, GA3OX, PAT1, PHYA, and NSP2 may serve as central nodes in \u003cem\u003eGRAS\u003c/em\u003e-mediated regulatory pathways. Expression profiling revealed that most \u003cem\u003eEsGRAS\u003c/em\u003e geneswere highly expressed in seedling tissues. Additionally, multiple \u003cem\u003eEsGRAS\u003c/em\u003e genes showed differential expression in response to salt, drought, ABA, and GA treatments, indicating their potential involvement in abiotic stress tolerance.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusion: \u003c/strong\u003eThe study systematically characterized the GRAS gene family in \u003cem\u003eE. sibiricus\u003c/em\u003e. Identifying 130 members and revealing their diverse structural features and expression patterns. Notably, \u003cem\u003eEsGRAS128\u003c/em\u003e, \u003cem\u003eEsGRAS90\u003c/em\u003e, \u003cem\u003eEsGRAS95\u003c/em\u003e, and \u003cem\u003eEsGRAS113\u003c/em\u003egenes exhibited both constitutive expression and strong responsiveness under multiple abiotic stresses, suggesting their potential regulatory roles. These findings provide a foundation for understanding the genetic evolution and biological functions of the \u003cem\u003eGRAS\u003c/em\u003egene family in \u003cem\u003eE.\u003c/em\u003e \u003cem\u003esibiricus\u003c/em\u003e, for further functional studies and may facilitate molecular breeding strategies to enhance stress resilience in \u003cem\u003eE.\u003c/em\u003e \u003cem\u003esibiricus\u003c/em\u003e and related forage species.\u003c/p\u003e","manuscriptTitle":"Genome-wide identification and expression analysis of the GRAS transcription factor family and its expression profiles in Elymus sibiricus","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-10-08 16:52:56","doi":"10.21203/rs.3.rs-7355432/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2025-10-13T07:27:21+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-10-13T05:29:58+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-10-12T01:49:49+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"77682032658361469029141980045693929903","date":"2025-09-27T08:38:25+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"265787652824298240815275371257263563079","date":"2025-09-26T09:56:09+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-09-26T09:30:05+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2025-08-14T22:44:48+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-08-13T01:51:01+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-08-13T01:50:17+00:00","index":"","fulltext":""},{"type":"submitted","content":"BMC Genomics","date":"2025-08-12T11:47:02+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"bmc-genomics","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"gics","sideBox":"Learn more about [BMC Genomics](http://bmcgenomics.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/gics","title":"BMC Genomics","twitterHandle":"#BMCGenomics","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"em","reportingPortfolio":"BMC Series","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"9ede35e8-450d-4778-8b85-6332725311b7","owner":[],"postedDate":"October 8th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2026-01-12T16:17:22+00:00","versionOfRecord":{"articleIdentity":"rs-7355432","link":"https://doi.org/10.1186/s12864-025-12349-4","journal":{"identity":"bmc-genomics","isVorOnly":false,"title":"BMC Genomics"},"publishedOn":"2026-01-10 15:58:19","publishedOnDateReadable":"January 10th, 2026"},"versionCreatedAt":"2025-10-08 16:52:56","video":"","vorDoi":"10.1186/s12864-025-12349-4","vorDoiUrl":"https://doi.org/10.1186/s12864-025-12349-4","workflowStages":[]},"version":"v1","identity":"rs-7355432","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7355432","identity":"rs-7355432","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}