Development of PCR-Based Marker for Resistance to Fusarium wilt Race 2 in Lettuce (Lactuca Sativa L.)

Development of PCR-Based Marker for Resistance to Fusarium wilt Race 2 in Lettuce (Lactuca Sativa L.) | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Development of PCR-Based Marker for Resistance to Fusarium wilt Race 2 in Lettuce (Lactuca Sativa L.) kousuke seki, kenji komatsu, masahiro hiraga, keisuke tanaka, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-284934/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 4 You are reading this latest preprint version Abstract Resistance to multiple races of Fusarium wilt is considered a critical trait for lettuce ( Lactuca sativa L.) cultivars, as it is directly related to grower profitability in Japan. We analyzed F 2 individuals obtained from a cross between ‘VI185’ (resistance to race 2) and ‘ShinanoGreen’ (susceptible to race 2), and applied a bioassay to the F 3 population using the race 2 pathogen. ddRAD-seq analysis showed that a single semi-dominant locus on LG1 ( qFOL1.2 ) controls resistance, and that the genotype of a RAD-marker designated as LG1_v8_117.181Mbp showed complete co-segregation with the resistance phenotype based on the F 2 population. Fine mapping by PCR-based markers further revealed that qFOL1.2 were located in the position of 116.468-117.974Mbp. The 42 cultivars were evaluated for the genotypes and phenotypes using the PCR-based makers designed at this region. As a result of genotyping, all of the susceptible cultivars had the same genotype in this region, but the resistant cultivars had the diversity in the genotype. Notably, the genotype of the PCR-based marker designated as LG1_v8_116.506Mbp was consistent across the 25 resistant cultivars. Thus, we reasoned that LG1_v8_116.506Mbp was a broadly useful marker for selection of race 2-resistance. Our results provide additional breeding technique for resistance to race 2, and can accelerate pyramiding of resistance loci to multiple races of fusarium wilt. Space Exploration Lettuce Fusarium wilt race 2 ddRAD-seq Marker-assisted selection PCR-based marker Figures Figure 1 Figure 2 Introduction Fusarium wilt (alias Root Rot Disease) of lettuce caused by Fusarium oxysporum f. sp. lactucae races 1, 2 and 3 presents a serious problem for lettuce production during summer in Japan (Fujinaga et al. 2001, 2003, 2005; Ogiso et al. 2002). As gradually increasing of areas that various races have been found, especially race 1 and 2, the breeding to the resistance cultivar to multiple races is an important issue. For plant breeding programs, molecular markers are powerful tools in marker-assisted selection (MAS) and gene pyramiding to develop new cultivars with the resistance to multiple races (Ashikari and Matsuoka 2006; Kumar et al. 2011). To date, we have successfully identified two loci for resistance to race 1 (Seki et al. 2020a), have attempted to develop molecular marker for race 2 following race 1. It was reported that the major resistance locus of race 2 was single, in addition, race 2 was at present only found in Japan (Shimazu et al. 2009; Aruga et al. 2012). We already developed a marker WF25-42 with random-amplified polymorphic DNA (RAPD) and amplified fragment length polymorphism (AFLP) analysis, and they indicated this marker is only detected the susceptible phenotype (Aruga et al. 2012). The objective of this study, therefore, is to develop a more useful marker tightly linked to resistance gene to race 2 for MAS. Next generation sequencing (NGS) based genotyping methods are extremely useful for designing molecular marker such as genome wide single nucleotide polymorphisms (SNPs) (Baird et al. 2008; Abe et al. 2012; Matsumura et al. 2014). Double digest restriction site-associated DNA sequencing (ddRAD-seq), high-throughput analysis of multiple samples, allowed for the rapid mapping of the resistance locus because reference genome sequence of lettuce (Reyes-Chin-Wo et al. 2017) was already provided from Lettuce Genome Resource (LGR; https://lgr.genomecenter.ucdavis.edu). We applied a ddRAD-seq to a F 2 population obtained from a cross between ‘VI185’ (resistance to race 2) and ‘ShinanoGreen’ (susceptible to race 2), and a bioassay to the F 3 population using pathogen inoculation. We tried to develop a reliable PCR-based marker in the genomic vicinity of race 2-resistance locus for MAS breeding by employing Genomic DNA-seq of parents. Materials And Methods Plant materials Plant materials and pathogen All plant material was grown at the Nagano Vegetable and Ornamental Crops Experiment Station (Shiojiri City, Nagano prefecture, Japan; 36° 10′ N, 137° 93′ E). The crisphead types ‘VI185’, ‘ShinanoGreen’ are cultivars from the Nagano Vegetable and Ornamental Crops Experiment Station lettuce breeding program. The F 2 population was derived from a cross between ‘VI185’ and ‘ShinanoGreen’. Ninety-six individuals of the F 2 progeny from the ‘VI185’ by ‘ShinanoGreen’ cross were used for linkage analysis and to produce selfed F 3 populations, which were used to evaluate genotypes of disease resistance in the F 2 individuals. For the infection assay of Fusarium oxysporum f. sp. lactucae race 2, the Japanese isolate F9501 was employed. Infection assay for disease resistance Infection assay for disease resistance was performed at greenhouse of the Nagano Vegetable and Ornamental Crops Experiment Station. Infested soils using the isolate of F9501 (race 2) were prepared by mixing bran culture medium and sterile soil at a ratio of 1:19 by volume. Seeds were sown directly into artificially inoculated soil, and seedlings were grown in the greenhouse conditions at a temperature between 15°C and 35°C under natural day length. Approximately 1 month after germination, seedlings were inoculated by F9501 and their disease indices were scored as described previously (Seki et al. 2020a). The disease severity was calculated as described by Aruga et al. (2012). DNA extraction and libraries construction Genomic DNAs were purified using the NucleoSpin Plant II (Machery-Nagel, Duren, Germany). Libraries of the ddRAD-seq and Genomic DNA-seq were prepared as described method in the previous publication (Seki et al. 2020b). Previously analyzed ddRAD-seq and whole genome sequencing data were used (Seki et al. 2020a). QTL mapping of disease resistance The disease severity of the F 3 population derived from ninety-six individuals of the F 2 progeny were evaluated according to the results of infection assay. Genetic mapping of the F. oxysporum f. sp. lactucae race 2 resistance locus in ‘VI185’ was performed using previously analyzed ddRAD-seq data from an F 2 population derived from a cross between ‘VI185’ and ‘ShinanoGreen’. Composite interval mapping (CIM) was conducted using the Haley-Knott regression in R using R/qtl package (Broman et al. 2003). The genome wide LOD threshold at 1% significance level was determined using a 10,000 permutation test. The proportion of phenotypic variance was calculated from the value at the peak indicated by CIM. A detailed script is described in CIM_script.R ( https://github.com/KousukeSEKI/RAD-seq_scripts ). The resistance phenotype was visualized graphically with the plotPXG function (Broman et al. 2003). MapChart ver. 2.3 was used to depict the linkage map and QTL (Voorrips 2002). Designing PCR-based markers and their amplification Polymorphisms between parental lines around the QTL, including insertion, deletion and SNP, were surveyed to identify the marker sites using the IGV software. Primers for amplifying the markers were designed using the Primer3 website (http://bioinfo.ut.ee/primer3-0.4.0/), and their IDs (names) was defined as (Linkage group) _ (genome version) _ (genome position). PCR was performed using 0.5 μL DNA template, 0.4 μL of each primer (50 μM), 2 μL dNTP (2 mM), 5 μL 2× PCR Buffer, 0.2 μL KOD FX (1 U/μL, TOYOBO, Japan), and distilled water (dH 2 O) to a final volume of 10 μL. PCR conditions were as follows: 94 °C for 5 min, 30 cycles of 94 °C for 30 s, and 61 °C for 30 s, followed by one cycle at 72 °C for 4 min. The amplification products were electrophoresed using capillary electrophoresis apparatus, MCE202 MultiNA (Shimadzu, Kyoto, Japan) and visualized by control and MultiNA Viewer software. Results Inheritance of resistance to F. oxysporum f. sp. lactucae race 2 Disease-resistance genotypes of the F 2 individuals from a cross between resistant ‘VI185’ and susceptible ‘ShinanoGreen’ were determined by the infection assay of the subsequent F 3 generation by F. oxysporum f. sp. lactucae race 2. Since the correlation between their disease severity of shoot and root has already been reported by Aruga et al. (2012) and Seki et al. (2020a), we focused on disease resistance in shoot tissue. Resistance to race 2 derived from ‘VI185’ was suggested to be controlled by a single semi-dominant gene, according to segregation of putative genotype of resistance gene showing 1:2:1 ratio in the F 2 population (Table 1). This result coincides to the previous studies (Shimazu et al. 2009; Aruga et al. 2012). ddRAD-seq analysis and fine mapping of resistance to race 2 Genetic mapping of the F. oxysporum f. sp. lactucae race 2 resistance derived from ‘VI185’ was performed using previously analyzed RAD-seq data and linkage map of F 2 population derived from a cross between ‘VI185’ and ‘ShinanoGreen’ (Seki et al. 2020b). CIM analysis was performed using the disease severity scores determined by race 2 pathogen infection assay and marker genotype data from the ddRAD-seq in 96 F 2 individuals. From the CIM analysis, a single locus for the resistance to the race 2 was mapped in LG1 between two markers ( LG1_v8_113.602Mbp and LG1_v8_130.852Mbp ) at a 9.55 cM interval, and designated as qFOL1.2 . Genotype of the LG1_v8_117.181Mbp marker, located in the qFOL1.2 locus, showed complete co-segregation with resistance to race 2 in the F 2 population (Table 2, Fig. 1, Fig. 2), and qFOL1.2 accounted for approximately 96.47% of the phenotypic variance (Table 2). According to the genotypes of biallelic RAD tags around qFOL1.2 and segregation of the deduced resistant locus genotype deduced in F 2 plants, qFOL1.2 was located between 116.225 to 118.058 Mbp in LG1 (Fig. 2). Furtherly, its fine mapping using PCR-based markers (Table 3) demonstrated that location of qFOL1.2 was narrowed down between LG1_v8_116.468Mbp and LG1_v8_117.974Mbp markers in LG1 (Table 3, Fig. 2). Genetic distance between these two marker loci was 1.028 cM, corresponding to 1.505Mbp as physical distance. To develop practical DNA markers for qFOL1.2 applicable to the marker assisted selection (MAS) in the breeding program, polymorphisms between parental lines were surveyed in the genome sequences within the range between 116.468–117.974Mbp in LG1. The eight PCR-based markers were identified by employing the selected polymorphisms. The marker types of the eight PCR-based markers were one ARMS marker designed using SNPs, two SSR markers, and five INDEL markers (Table 3). These selected eight PCR-based markers were applied to genotyping analysis of 25 resistant and 17 susceptible lettuce cultivars to race 2 (Table 3, Table 4, Fig. S1). In all the analyzed cultivars, all the marker genotypes represented homozygous genotypes. Genotypes of these markers demonstrated the susceptible cultivars uniformly showed the same genotype in this region, while inconsistent genotypes of most analyzed markers were observed in the resistant cultivars (Table 4). Of the 8 markers, only LG1_v8_116.506Mbp showed the consistent genotype in all the analyzed resistant cultivars. Therefore, LG1_v8_116.506Mbp was the widely available marker for MAS of race 2 resistant plants. Discussion Following the previous QTL mapping study for the resistance to fusarium wilt race 1 (Seki et al. 2020a), we succeeded in rapid genetic mapping of resistance to race 2 in lettuce, since F 2 population derived from a cross between ‘VI185’ and ‘ShinanoGreen’ with their genome-wide marker genotypes (Seki et al. 2020b) were already available for the QTL analysis. Consequently, a single major QTL, qFOL1.2, derived from ‘VI185’ was efficiently identified in LG1. According to the genetic mapping using these ddRAD-seq and PCR-based markers, resistance to race 2 was probably determined by a single locus, and located between 116.468Mbp and 117.974Mbp in LG1 of the reference genome (Table 1, Table 4, Fig. 2). Previously, we developed a marker WF25-42 linked to the resistance locus to race 2 by RAPD and AFLP analysis (Aruga et al. 2012) and it also located at the position of 117.9Mbp in LG1 (data not shown), supporting that qFOL1.2 was the locus for the resistance to race 2. In this study, we further developed the PCR-based markers for the qFOL1.2 (Table 3, Table 4, Fig. 2, Fig. S1). Genotyping in 42 cultivars using these PCR-based markers revealed that the resistant cultivars showed divergence in this genomic region (Table 3, Table 4), except for LG1_v8_116.506Mbp . Although disease by race 2 pathogen was known to be only occurred in Japan, ‘Grand Rapids’ derived from USA, ‘Oak leaf’ derived from Europe, and ‘Celtuce’ derived from China also showed the resistance to race 2 (Table 4). Accordingly, many lettuce cultivars in the worldwide natively possessed the resistance gene to race 2, and limited cultivars like ‘Salinas’ were susceptible to race 2. This was supported by the fact that all of the susceptible cultivars had the same genotypes in this locus, implying that they were possibly derived from the same origin. The PCR-based marker, LG1_v8_116.506Mbp , can discriminate between resistant and susceptible to race 2 perfectly, suggesting that it is widely applicable to the selection of qFOL1.2 in the breeding program and suggested to be closed to the causal gene for the resistance. Notably, no disease resistance gene candidate was found in the annotation database for ‘Salinas’ genome even though this locus, between 116.468Mbp and 117.974Mbp in LG1, was located in a major resistance clusters (MRCs) (Table S1) (Christopoulou et al. 2015). Because ‘Salinas’ is a susceptible cultivar to race 2, it is possible that it may lack its disease resistance gene. Therefore, further studies, including genome resequencing analysis of the resistant cultivar, are necessary to determine the causal gene located in qFOL1.2 . Fusarium wilt frequently occurs under high-temperature environment (Tsuchiya et al. 2004), like summer season in Japan. Therefore, global warming advance was supposed to promote fusarium wilt occurrence in other countries. Three races of fusarium wilt (race 1,2, and 3) were already found in Japan (Fujinaga et al. 2001, 2003). Furthermore, its race 4 was recently identified in Europe (Gilardi et al. 2017, 2019; Claerbout et al. 2018). Considering difficulty of soil sterilization in the field, development of resistance cultivars is the most efficient strategy for avoiding disease. We already found significant QTLs in LG7 ( qFOL7.1 ) and LG8 ( qFOL8.1 ) that has major effect on race 1-resistance (Seki et al. 2020a). Marker-assisted selection of race 2-resistance in combination with QTLs for race 1-resistance provides the opportunity to develop cultivars with more durable resistance to fusarium wilt. The findings of this study will contribute to the pyramiding approach for disease resistance loci to multiple races of fusarium wilt. Declarations Acknowledgements This work was supported by Cooperative Research Grant of the Genome Research for BioResource, NODAI Genome Research Center, Tokyo University of Agriculture. We thank Rumi Ohtake of NODAI Genome Research Center, Tokyo University of Agriculture, Dr. Kazuhiro Yagasaki and Hiroaki Serizawa of the Nagano Vegetable Ornamental Crops Experiment Station, Dr. Yoshifumi Yamaguchi in University of Hokkaido and Dr. Satoshi Watanabe in University of Saga for helpful discussion and advice. We also thank Chizuru Kagami, Yoko Takahashi, Yoshie Nakayama, and especially Atsushi Tsukada and Hideaki Okazawa for technical assistance in the field experiment. Funding This work was supported by Cooperative Research Grant of the Genome Research for BioResource, NODAI Genome Research Center, Tokyo University of Agriculture. Conflicts of interest The authors declare that they have no conflict of interest. Ethics approval Not applicable Consent to participate Not applicable Consent for publication Not applicable Availability of data and material All data analyzed during this study are included in this published article and its supplementary information files. Code availability Scripts for these analyses are deposited in https://github.com/KousukeSEKI/RAD-seq_scripts as (1) Parent_script.R, (2) RAD_mapping_script_BWA_aln_script.txt, (3) Map_list_script.R, (4) Population_tagcount_script.R, (5) Genotype_script.R, (6) Convert_ABH_script.R, and (7) Post_data_correction_script.R. Author contribution statement KS, KK and HM planned the experiments. KS and MH performed the development of the mapping population. KS and MH performed bioassay for disease resistance. KS and YU performed the development of the ddRAD-seq library. KK and KT performed sequence analysis. KS and HM performed data analysis. KS wrote the manuscript. All authors read and approved the final manuscript. References Abe A, Kosugi S, Yoshida K, et al (2012) Genome sequencing reveals agronomically important loci in rice using MutMap. Nat Biotechnol 30:174–178. https://doi.org/https://doi.org/10.1038/nbt.2095 Aruga D, Tsuchiya N, Matsumura H, et al (2012) Analysis of RAPD and AFLP markers linked to resistance to Fusarium oxysporum f. sp. lactucae race 2 in lettuce ( Lactuca sativa L.). Euphytica 187:1–9. https://doi.org/10.1007/s10681-012-0665-5 Ashikari M, Matsuoka M (2006) Identification, isolation and pyramiding of quantitative trait loci for rice breeding. Trends Plant Sci. 11:344–350 Baird NA, Etter PD, Atwood TS, et al (2008) Rapid SNP Discovery and Genetic Mapping Using Sequenced RAD Markers. PLoS One 3:e3376. https://doi.org/10.1371/journal.pone.0003376 Broman KW, Wu H, Saunak Sen ´, Churchill GA (2003) R/qtl: QTL mapping in experimental crosses. 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Hortic Res 7:1–14. https://doi.org/10.1038/s41438-020-0241-4 Shimazu J, Yamauchi N, Shirakawa T (2009) Heredity of resistance to race 2 of Fusarium oxysporum f. sp. lactucae in a lettuce ( Lactuca sativa ) cultivar “Celtuce.” Breed Res 11:155–158 Tsuchiya N, Fujinaga M, Ogiso H, Usui T (2004) Resistance tests and genetic resources for breeding fusarium root rot resistant lettuce. J Japan Soc Hort Sci 73:105–113 Voorrips RE (2002) MapChart: Software for the Graphical Presentation of Linkage Maps and QTLs. J Hered 93:77–78. https://doi.org/10.1093/jhered/93.1.77 Tables Table 1. Segregation of the resistance to Fusarium wilt race 2 in F 2 population derived from ‘VI185’ and ‘ShinanoGreen’ Table 2. Identified QTL for disease resistance to Fusarium wilt race 2 by composite interval mapping and genetic effects. Table 3. Primers for the PCR-based markers in qFOL1.2 Table 4. Resistance to Fusarium wilt race 2 and the genotype of PCR-based markers at qFOL1.2 in 42 lettuce cultivars. Supplementary Files tableS1FigureS1.docx Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Major revisions 03 May, 2021 Reviews received at journal 08 Mar, 2021 Editor assigned by journal 02 Mar, 2021 First submitted to journal 27 Feb, 2021 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-284934","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":15208940,"identity":"4b262e51-38c9-4bf3-8b19-6f67af17aa4f","order_by":0,"name":"kousuke seki","email":"data:image/png;base64,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","orcid":"https://orcid.org/0000-0002-5420-838X","institution":"Nagano vegetable and ornamental crops experiment station","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"kousuke","middleName":"","lastName":"seki","suffix":""},{"id":15208941,"identity":"c451a552-e584-4f45-8d72-3e5e369956fd","order_by":1,"name":"kenji komatsu","email":"","orcid":"","institution":"Tokyo Nogyo Daigaku - Atsugi Campus","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"kenji","middleName":"","lastName":"komatsu","suffix":""},{"id":15208942,"identity":"80c4c3f2-bb6e-44f2-be12-551da00b11b8","order_by":2,"name":"masahiro hiraga","email":"","orcid":"","institution":"Nagano fruit tree experiment station","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"masahiro","middleName":"","lastName":"hiraga","suffix":""},{"id":15208943,"identity":"6f89e7a9-9cd3-43b6-b299-e53d6bc05c81","order_by":3,"name":"keisuke tanaka","email":"","orcid":"","institution":"Tokyo Nogyo Daigaku - Setagaya Campus: Tokyo Nogyo Daigaku","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"keisuke","middleName":"","lastName":"tanaka","suffix":""},{"id":15208944,"identity":"b6875d19-a4ff-45c8-ba8e-91269e8885fe","order_by":4,"name":"yuichi uno","email":"","orcid":"","institution":"Kobe University: Kobe Daigaku","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"yuichi","middleName":"","lastName":"uno","suffix":""},{"id":15208945,"identity":"a8894a7f-bd43-47e0-86cb-68b55a384d8c","order_by":5,"name":"hideo matsumura","email":"","orcid":"","institution":"Shinshu University - Ueda Campus: Shinshu Daigaku - Ueda Campus","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"hideo","middleName":"","lastName":"matsumura","suffix":""}],"badges":[],"createdAt":"2021-02-28 06:18:47","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-284934/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-284934/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":6992422,"identity":"315f0051-db4b-40ac-9b48-6276f64a8ebe","added_by":"auto","created_at":"2021-03-15 21:48:56","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":53436,"visible":true,"origin":"","legend":"Correlation between the genotypes of LG1_v8_116.506Mbp and phenotypes (disease severity to Fusarium wilt). \nTwenty individuals of each of F2:3 plants derived from a cross ‘VI185 (resistant)’ and ‘ShinanoGreen (susceptible)’ were applied to genotyping and phenotype scoring. In genotype, “A’” or “B” allele was derived from ‘VI185’ or ‘ShinanoGreen’, respectively.\n","description":"","filename":"1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-284934/v1/f4190037b177b990091fdbfa.jpg"},{"id":6993375,"identity":"c4ba9bc0-79f1-463f-bc17-dcdc9f9080cb","added_by":"auto","created_at":"2021-03-15 21:54:56","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":75010,"visible":true,"origin":"","legend":"Fine genetic map of qFOL1.2 on LG1. \nGenetic distances (cM) were shown between the markers. “(RAD)” and “(PCRbased)” in the marker name indicated RAD-seq markers and PCR-based markers, respectively. “FW2-LG1 (Fusarium Wilt resistance to race 2 on LG1)” indicated the position of the causal gene for resistance to Fusarium wilt race 2.\n","description":"","filename":"2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-284934/v1/66f56a7059848d78acc79562.jpg"},{"id":13679356,"identity":"a8b13654-e987-4a34-bd39-fb87326b3121","added_by":"auto","created_at":"2021-09-17 11:43:29","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":642178,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-284934/v1/38530183-0349-4408-9ce0-424359273ff8.pdf"},{"id":6992881,"identity":"8accbeb1-58ea-4eb5-9896-b0d67a7d4402","added_by":"auto","created_at":"2021-03-15 21:51:56","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":134745,"visible":true,"origin":"","legend":"","description":"","filename":"tableS1FigureS1.docx","url":"https://assets-eu.researchsquare.com/files/rs-284934/v1/b089dc34e9c4ff26e07c9e29.docx"}],"financialInterests":"","formattedTitle":"\u003cp\u003eDevelopment of PCR-Based Marker for Resistance to Fusarium wilt Race 2 in Lettuce (Lactuca Sativa L.)\u003c/p\u003e","fulltext":[{"header":"Introduction","content":"\u003cp\u003eFusarium wilt (alias Root Rot Disease) of lettuce caused by \u003cem\u003eFusarium oxysporum\u003c/em\u003e f. sp. \u003cem\u003elactucae \u003c/em\u003eraces 1, 2 and 3 presents a serious problem for lettuce production during summer in Japan (Fujinaga et al. 2001, 2003, 2005; Ogiso et al. 2002). As gradually increasing of areas that various races have been found, especially race 1 and 2, the breeding to the resistance cultivar to multiple races is an important issue. For plant breeding programs, molecular markers are powerful tools in marker-assisted selection (MAS) and gene pyramiding to develop new cultivars with the resistance to multiple races (Ashikari and Matsuoka 2006; Kumar et al. 2011). To date, we have successfully identified two loci for resistance to race 1 (Seki et al. 2020a), have attempted to develop molecular marker for race 2 following race 1. It was reported that the major resistance locus of race 2 was single, in addition, race 2 was at present only found in Japan (Shimazu et al. 2009; Aruga et al. 2012). We already developed a marker WF25-42 with random-amplified polymorphic DNA (RAPD) and amplified fragment length polymorphism (AFLP) analysis, and they indicated this marker is only detected the susceptible phenotype (Aruga et al. 2012). The objective of this study, therefore, is to develop a more useful marker tightly linked to resistance gene to race 2 for MAS.\u003c/p\u003e\n\u003cp\u003eNext generation sequencing (NGS) based genotyping methods are extremely useful for designing molecular marker such as genome wide single nucleotide polymorphisms (SNPs) (Baird et al. 2008; Abe et al. 2012; Matsumura et al. 2014). Double digest restriction site-associated DNA sequencing (ddRAD-seq), high-throughput analysis of multiple samples, allowed for the rapid mapping of the resistance locus because reference genome sequence of lettuce (Reyes-Chin-Wo et al. 2017) was already provided from Lettuce Genome Resource (LGR; https://lgr.genomecenter.ucdavis.edu). We applied a ddRAD-seq to a F\u003csub\u003e2\u003c/sub\u003e population obtained from a cross between \u0026lsquo;VI185\u0026rsquo; (resistance to race 2) and \u0026lsquo;ShinanoGreen\u0026rsquo; (susceptible to race 2), and a bioassay to the F\u003csub\u003e3\u003c/sub\u003e population using pathogen inoculation. We tried to develop a reliable PCR-based marker in the genomic vicinity of race 2-resistance locus for MAS breeding by employing Genomic DNA-seq of parents.\u003c/p\u003e"},{"header":"Materials And Methods","content":"\u003cp\u003ePlant materials\u003c/p\u003e\n\u003cp\u003ePlant materials and pathogen\u003c/p\u003e\n\u003cp\u003eAll plant material was grown at the Nagano Vegetable and Ornamental Crops Experiment Station (Shiojiri City, Nagano prefecture, Japan; 36\u0026deg; 10\u0026prime; N, 137\u0026deg; 93\u0026prime; E). The crisphead types \u0026lsquo;VI185\u0026rsquo;, \u0026lsquo;ShinanoGreen\u0026rsquo; are cultivars from the Nagano Vegetable and Ornamental Crops Experiment Station lettuce breeding program. The F\u003csub\u003e2\u003c/sub\u003e population was derived from a cross between \u0026lsquo;VI185\u0026rsquo; and \u0026lsquo;ShinanoGreen\u0026rsquo;. Ninety-six individuals of the F\u003csub\u003e2\u003c/sub\u003e progeny from the \u0026lsquo;VI185\u0026rsquo; by \u0026lsquo;ShinanoGreen\u0026rsquo; cross were used for linkage analysis and to produce selfed F\u003csub\u003e3\u003c/sub\u003e populations, which were used to evaluate genotypes of disease resistance in the F\u003csub\u003e2\u003c/sub\u003e individuals. For the infection assay of \u003cem\u003eFusarium oxysporum \u003c/em\u003ef. sp.\u003cem\u003e lactucae \u003c/em\u003erace 2, the Japanese isolate F9501 was employed.\u003c/p\u003e\n\u003cp\u003eInfection assay for disease resistance\u003c/p\u003e\n\u003cp\u003eInfection assay for disease resistance was performed at greenhouse of the Nagano Vegetable and Ornamental Crops Experiment Station. Infested soils using the isolate of F9501 (race 2) were prepared by mixing bran culture medium and sterile soil at a ratio of 1:19 by volume. Seeds were sown directly into artificially inoculated soil, and seedlings were grown in the greenhouse conditions at a temperature between 15\u0026deg;C and 35\u0026deg;C under natural day length. Approximately 1 month after germination, seedlings were inoculated by F9501 and their disease indices were scored as described previously (Seki et al. 2020a). The disease severity was calculated as described by Aruga et al. (2012).\u003c/p\u003e\n\u003cp\u003eDNA extraction and libraries construction\u003c/p\u003e\n\u003cp\u003eGenomic DNAs were purified using the NucleoSpin Plant II (Machery-Nagel, Duren, Germany). Libraries of the ddRAD-seq and Genomic DNA-seq were prepared as described method in the previous publication (Seki et al. 2020b). Previously analyzed ddRAD-seq and whole genome sequencing data were used (Seki et al. 2020a).\u003c/p\u003e\n\u003cp\u003eQTL mapping of disease resistance\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;The disease severity of the F\u003csub\u003e3\u003c/sub\u003e population derived from ninety-six individuals of the F\u003csub\u003e2\u003c/sub\u003e progeny were evaluated according to the results of infection assay. Genetic mapping of the \u003cem\u003eF. oxysporum\u003c/em\u003e f. sp. \u003cem\u003elactucae\u003c/em\u003e race 2 resistance locus in \u0026lsquo;VI185\u0026rsquo; was performed using previously analyzed ddRAD-seq data from an F\u003csub\u003e2\u003c/sub\u003e population derived from a cross between \u0026lsquo;VI185\u0026rsquo; and \u0026lsquo;ShinanoGreen\u0026rsquo;. Composite interval mapping (CIM) was conducted using the Haley-Knott regression in R using R/qtl package (Broman et al. 2003). The genome wide LOD threshold at 1% significance level was determined using a 10,000 permutation test. The proportion of phenotypic variance was calculated from the value at the peak indicated by CIM. A detailed script is described in CIM_script.R (\u003ca href=\"https://github.com/KousukeSEKI/RAD-seq_scripts\"\u003ehttps://github.com/KousukeSEKI/RAD-seq_scripts\u003c/a\u003e). The resistance phenotype was visualized graphically with the plotPXG function (Broman et al. 2003). MapChart ver. 2.3 was used to depict the linkage map and QTL (Voorrips 2002).\u003c/p\u003e\n\u003cp\u003eDesigning PCR-based markers and their amplification\u003c/p\u003e\n\u003cp\u003ePolymorphisms between parental lines around the QTL, including insertion, deletion and SNP, were surveyed to identify the marker sites using the IGV software. Primers for amplifying the markers were designed using the Primer3 website (http://bioinfo.ut.ee/primer3-0.4.0/), and their IDs (names) was defined as (Linkage group) _ (genome version) _ (genome position). PCR was performed using 0.5\u0026thinsp;\u0026mu;L DNA template, 0.4\u0026thinsp;\u0026mu;L of each primer (50\u0026thinsp;\u0026mu;M), 2\u0026thinsp;\u0026mu;L dNTP (2\u0026thinsp;mM), 5\u0026thinsp;\u0026mu;L 2\u0026times; PCR Buffer, 0.2\u0026thinsp;\u0026mu;L KOD FX (1\u0026thinsp;U/\u0026mu;L, TOYOBO, Japan), and distilled water (dH\u003csub\u003e2\u003c/sub\u003eO) to a final volume of 10\u0026thinsp;\u0026mu;L. PCR conditions were as follows: 94\u0026thinsp;\u0026deg;C for 5\u0026thinsp;min, 30 cycles of 94\u0026thinsp;\u0026deg;C for 30\u0026thinsp;s, and 61\u0026thinsp;\u0026deg;C for 30\u0026thinsp;s, followed by one cycle at 72\u0026thinsp;\u0026deg;C for 4\u0026thinsp;min. The amplification products were electrophoresed using capillary electrophoresis apparatus, MCE202 MultiNA (Shimadzu, Kyoto, Japan) and visualized by control and MultiNA Viewer software.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003eInheritance of resistance to \u003cem\u003eF. oxysporum\u003c/em\u003e f. sp. \u003cem\u003elactucae\u003c/em\u003e race 2\u003c/p\u003e\n\u003cp\u003eDisease-resistance genotypes of the F\u003csub\u003e2\u003c/sub\u003e individuals from a cross between resistant \u0026lsquo;VI185\u0026rsquo; and susceptible \u0026lsquo;ShinanoGreen\u0026rsquo; were determined by the infection assay of the subsequent F\u003csub\u003e3\u003c/sub\u003e generation by \u003cem\u003eF. oxysporum\u003c/em\u003e f. sp. \u003cem\u003elactucae\u003c/em\u003e race 2. Since the correlation between their disease severity of shoot and root has already been reported by Aruga et al. (2012) and Seki et al. (2020a), we focused on disease resistance in shoot tissue. Resistance to race 2 derived from \u0026lsquo;VI185\u0026rsquo; was suggested to be controlled by a single semi-dominant gene, according to segregation of putative genotype of resistance gene showing 1:2:1 ratio in the F\u003csub\u003e2\u003c/sub\u003e population (Table 1). This result coincides to the previous studies (Shimazu et al. 2009; Aruga et al. 2012).\u003c/p\u003e\n\u003cp\u003eddRAD-seq analysis and fine mapping of resistance to race 2\u003c/p\u003e\n\u003cp\u003eGenetic mapping of the \u003cem\u003eF. \u003c/em\u003e\u003cem\u003eoxysporum\u003c/em\u003e f. sp. \u003cem\u003elactucae\u003c/em\u003e race 2 resistance derived from \u0026lsquo;VI185\u0026rsquo; was performed using previously analyzed RAD-seq data and linkage map of F\u003csub\u003e2\u003c/sub\u003e population derived from a cross between \u0026lsquo;VI185\u0026rsquo; and \u0026lsquo;ShinanoGreen\u0026rsquo; (Seki et al. 2020b). CIM analysis was performed using the disease severity scores determined by race 2 pathogen infection assay and marker genotype data from the ddRAD-seq in 96 F\u003csub\u003e2\u003c/sub\u003e individuals. From the CIM analysis, a single locus for the resistance to the race 2 was mapped in LG1 between two markers (\u003cem\u003eLG1_v8_113.602Mbp\u003c/em\u003e and \u003cem\u003eLG1_v8_130.852Mbp\u003c/em\u003e) at a 9.55\u0026thinsp;cM interval, and designated as \u003cem\u003eqFOL1.2\u003c/em\u003e. Genotype of the \u003cem\u003eLG1_v8_117.181Mbp \u003c/em\u003emarker, located in the \u003cem\u003eqFOL1.2\u003c/em\u003e locus, showed complete co-segregation with resistance to race 2 in the F\u003csub\u003e2\u003c/sub\u003e population (Table 2, Fig. 1, Fig. 2), and \u003cem\u003eqFOL1.2\u003c/em\u003e accounted for approximately 96.47% of the phenotypic variance (Table 2). According to the genotypes of biallelic RAD tags around\u003cem\u003e qFOL1.2\u003c/em\u003e and segregation of the deduced resistant locus genotype deduced in F\u003csub\u003e2\u003c/sub\u003e plants, \u003cem\u003eqFOL1.2\u003c/em\u003e was located between 116.225 to 118.058\u0026thinsp;Mbp in LG1 (Fig. 2). Furtherly, its fine mapping using PCR-based markers (Table 3) demonstrated that location of \u003cem\u003eqFOL1.2\u003c/em\u003e was narrowed down between \u003cem\u003eLG1_v8_116.468Mbp\u003c/em\u003e and \u003cem\u003eLG1_v8_117.974Mbp\u003c/em\u003e markers in LG1 (Table 3, Fig. 2). Genetic distance between these two marker loci was 1.028 cM, corresponding to 1.505Mbp as physical distance. To develop practical DNA markers for \u003cem\u003eqFOL1.2\u003c/em\u003e applicable to the marker assisted selection (MAS) in the breeding program, polymorphisms between parental lines were surveyed in the genome sequences within the range between 116.468\u0026ndash;117.974Mbp in LG1. The eight PCR-based markers were identified by employing the selected polymorphisms. The marker types of the eight PCR-based markers were one ARMS marker designed using SNPs, two SSR markers, and five INDEL markers (Table 3). These selected eight PCR-based markers were applied to genotyping analysis of 25 resistant and 17 susceptible lettuce cultivars to race 2 (Table 3, Table 4, Fig. S1). In all the analyzed cultivars, all the marker genotypes represented homozygous genotypes. Genotypes of these markers demonstrated the susceptible cultivars uniformly showed the same genotype in this region, while inconsistent genotypes of most analyzed markers were observed in the resistant cultivars (Table 4). Of the 8 markers, only \u003cem\u003eLG1_v8_116.506Mbp\u003c/em\u003e showed the consistent genotype in all the analyzed resistant cultivars. Therefore, \u003cem\u003eLG1_v8_116.506Mbp\u003c/em\u003e was the widely available marker for MAS of race 2 resistant plants.\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eFollowing the previous QTL mapping study for the resistance to fusarium wilt race 1 (Seki et al. 2020a), we succeeded in rapid genetic mapping of resistance to race 2 in lettuce, since F\u003csub\u003e2\u003c/sub\u003e population derived from a cross between \u0026lsquo;VI185\u0026rsquo; and \u0026lsquo;ShinanoGreen\u0026rsquo; with their genome-wide marker genotypes (Seki et al. 2020b) were already available for the QTL analysis. Consequently, a single major QTL, \u003cem\u003eqFOL1.2,\u003c/em\u003e derived from \u0026lsquo;VI185\u0026rsquo; was efficiently identified in LG1. According to the genetic mapping using these ddRAD-seq and PCR-based markers, resistance to race 2 was probably determined by a single locus, and located between 116.468Mbp and 117.974Mbp in LG1 of the reference genome (Table 1, Table 4, Fig. 2). Previously, we developed a marker WF25-42 linked to the resistance locus to race 2 by RAPD and AFLP analysis (Aruga et al. 2012) and it also located at the position of 117.9Mbp in LG1 (data not shown), supporting that \u003cem\u003eqFOL1.2 \u003c/em\u003ewas the locus for the resistance to race 2.\u003c/p\u003e\n\u003cp\u003eIn this study, we further developed the PCR-based markers for the \u003cem\u003eqFOL1.2\u003c/em\u003e (Table 3, Table 4, Fig. 2, Fig. S1). Genotyping in 42 cultivars using these PCR-based markers revealed that the resistant cultivars showed divergence in this genomic region (Table 3, Table 4), except for \u003cem\u003eLG1_v8_116.506Mbp\u003c/em\u003e. Although disease by race 2 pathogen was known to be only occurred in Japan, \u0026lsquo;Grand Rapids\u0026rsquo; derived from USA, \u0026lsquo;Oak leaf\u0026rsquo; derived from Europe, and \u0026lsquo;Celtuce\u0026rsquo; derived from China also showed the resistance to race 2 (Table 4). Accordingly, many lettuce cultivars in the worldwide natively possessed the resistance gene to race 2, and limited cultivars like \u0026lsquo;Salinas\u0026rsquo; were susceptible to race 2. This was supported by the fact that all of the susceptible cultivars had the same genotypes in this locus, implying that they were possibly derived from the same origin. The PCR-based marker, \u003cem\u003eLG1_v8_116.506Mbp\u003c/em\u003e, can discriminate between resistant and susceptible to race 2 perfectly, suggesting that it is widely applicable to the selection of \u003cem\u003eqFOL1.2\u003c/em\u003e in the breeding program and suggested to be closed to the causal gene for the resistance.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;Notably, no disease resistance gene candidate was found in the annotation database for \u0026lsquo;Salinas\u0026rsquo; genome even though this locus, between 116.468Mbp and 117.974Mbp in LG1, was located in a major resistance clusters (MRCs) (Table S1) (Christopoulou et al. 2015). Because \u0026lsquo;Salinas\u0026rsquo; is a susceptible cultivar to race 2, it is possible that it may lack its disease resistance gene. Therefore, further studies, including genome resequencing analysis of the resistant cultivar, are necessary to determine the causal gene located in \u003cem\u003eqFOL1.2\u003c/em\u003e.\u003c/p\u003e\n\u003cp\u003eFusarium wilt frequently occurs under high-temperature environment (Tsuchiya et al. 2004), like summer season in Japan. Therefore, global warming advance was supposed to promote fusarium wilt occurrence in other countries. Three races of fusarium wilt (race 1,2, and 3) were already found in Japan (Fujinaga et al. 2001, 2003). Furthermore, its race 4 was recently identified in Europe (Gilardi et al. 2017, 2019; Claerbout et al. 2018). Considering difficulty of soil sterilization in the field, development of resistance cultivars is the most efficient strategy for avoiding disease. We already found significant QTLs in LG7 (\u003cem\u003eqFOL7.1\u003c/em\u003e) and LG8 (\u003cem\u003eqFOL8.1\u003c/em\u003e) that has major effect on race 1-resistance (Seki et al. 2020a). Marker-assisted selection of race 2-resistance in combination with QTLs for race 1-resistance provides the opportunity to develop cultivars with more durable resistance to fusarium wilt. The findings of this study will contribute to the pyramiding approach for disease resistance loci to multiple races of fusarium wilt.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis work was supported by Cooperative Research Grant of the Genome Research for BioResource, NODAI Genome Research Center, Tokyo University of Agriculture. We thank Rumi Ohtake of NODAI Genome Research Center, Tokyo University of Agriculture, Dr. Kazuhiro Yagasaki and Hiroaki Serizawa of the Nagano Vegetable Ornamental Crops Experiment Station, Dr. Yoshifumi Yamaguchi in University of Hokkaido and Dr. Satoshi Watanabe in University of Saga for helpful discussion and advice. We also thank Chizuru Kagami, Yoko Takahashi, Yoshie Nakayama, and especially Atsushi Tsukada and Hideaki Okazawa for technical assistance in the field experiment.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis work was supported by Cooperative Research Grant of the Genome Research for BioResource, NODAI Genome Research Center, Tokyo University of Agriculture.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflicts of interest\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no conflict of interest.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable\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 material\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll data analyzed during this study are included in this published article and its supplementary information files.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCode availability\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eScripts for these analyses are deposited in https://github.com/KousukeSEKI/RAD-seq_scripts as (1) Parent_script.R, (2) RAD_mapping_script_BWA_aln_script.txt, (3) Map_list_script.R, (4) Population_tagcount_script.R, (5) Genotype_script.R, (6) Convert_ABH_script.R, and (7) Post_data_correction_script.R.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor contribution statement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eKS, KK and HM planned the experiments. KS and MH performed the development of the mapping population. KS and MH performed bioassay for disease resistance. KS and YU performed the development of the ddRAD-seq library. KK and KT performed sequence analysis. KS and HM performed data analysis. KS wrote the manuscript. All authors read and approved the final manuscript.\u003c/p\u003e"},{"header":"References","content":"\u003cp\u003eAbe A, Kosugi S, Yoshida K, et al (2012) Genome sequencing reveals agronomically important loci in rice using MutMap. Nat Biotechnol 30:174\u0026ndash;178. https://doi.org/https://doi.org/10.1038/nbt.2095\u003c/p\u003e\n\u003cp\u003eAruga D, Tsuchiya N, Matsumura H, et al (2012) Analysis of RAPD and AFLP markers linked to resistance to \u003cem\u003eFusarium oxysporum \u003c/em\u003ef. sp. \u003cem\u003elactucae \u003c/em\u003erace 2 in lettuce (\u003cem\u003eLactuca sativa\u003c/em\u003e L.). 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J Japan Soc Hort Sci 73:105\u0026ndash;113\u003c/p\u003e\n\u003cp\u003eVoorrips RE (2002) MapChart: Software for the Graphical Presentation of Linkage Maps and QTLs. J Hered 93:77\u0026ndash;78. https://doi.org/10.1093/jhered/93.1.77\u003c/p\u003e"},{"header":"Tables","content":"\u003cp\u003e\u003cstrong\u003eTable 1. Segregation of the resistance to Fusarium wilt race 2 in F\u003csub\u003e2\u003c/sub\u003e population derived from \u0026lsquo;VI185\u0026rsquo; and \u0026lsquo;ShinanoGreen\u0026rsquo;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" alt=\"\" /\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2. Identified QTL for disease resistance to Fusarium wilt race 2 by composite interval mapping and genetic effects.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" alt=\"\" /\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3. Primers for the PCR-based markers in \u003cem\u003eqFOL1.2\u003c/em\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" alt=\"\" /\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 4. Resistance to Fusarium wilt race 2 and the genotype of PCR-based markers at\u0026nbsp;\u003cem\u003eqFOL1.2\u003c/em\u003e\u0026nbsp;in 42 lettuce cultivars.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" alt=\"\" /\u003e\u003c/p\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":"euphytica","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"euph","sideBox":"Learn more about [Euphytica](https://www.springer.com/journal/10681)","snPcode":"10681","submissionUrl":"https://submission.springernature.com/new-submission/10681/3","title":"Euphytica","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Lettuce, Fusarium wilt race 2, ddRAD-seq, Marker-assisted selection, PCR-based marker","lastPublishedDoi":"10.21203/rs.3.rs-284934/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-284934/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eResistance to multiple races of Fusarium wilt is considered a critical trait for lettuce (\u003cem\u003eLactuca sativa\u003c/em\u003e L.) cultivars, as it is directly related to grower profitability in Japan. We analyzed F\u003csub\u003e2\u003c/sub\u003e individuals obtained from a cross between ‘VI185’ (resistance to race 2) and ‘ShinanoGreen’ (susceptible to race 2), and applied a bioassay to the F\u003csub\u003e3\u003c/sub\u003e population using the race 2 pathogen. ddRAD-seq analysis showed that a single semi-dominant locus on LG1 (\u003cem\u003eqFOL1.2\u003c/em\u003e) controls resistance, and that the genotype of a RAD-marker designated as\u003cem\u003e LG1_v8_117.181Mbp\u003c/em\u003e showed complete co-segregation with the resistance phenotype based on the F\u003csub\u003e2\u003c/sub\u003e population. Fine mapping by PCR-based markers further revealed that \u003cem\u003eqFOL1.2\u003c/em\u003e were located in the position of 116.468-117.974Mbp. The 42 cultivars were evaluated for the genotypes and phenotypes using the PCR-based makers designed at this region. As a result of genotyping, all of the susceptible cultivars had the same genotype in this region, but the resistant cultivars had the diversity in the genotype. Notably, the genotype of the PCR-based marker designated as\u003cem\u003e LG1_v8_116.506Mbp\u003c/em\u003e was consistent across the 25 resistant cultivars. Thus, we reasoned that \u003cem\u003eLG1_v8_116.506Mbp\u003c/em\u003e was a broadly useful marker for selection of race 2-resistance. Our results provide additional breeding technique for resistance to race 2, and can accelerate pyramiding of resistance loci to multiple races of fusarium wilt.\u003c/p\u003e","manuscriptTitle":"Development of PCR-Based Marker for Resistance to Fusarium wilt Race 2 in Lettuce (Lactuca Sativa L.)","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2021-03-15 21:48:54","doi":"10.21203/rs.3.rs-284934/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Major revisions","date":"2021-05-03T05:29:26+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2021-03-09T00:00:00+00:00","index":0,"fulltext":""},{"type":"editorAssigned","content":"","date":"2021-03-03T00:00:00+00:00","index":"","fulltext":""},{"type":"submitted","content":"Euphytica","date":"2021-02-28T01:18:41+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"euphytica","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"euph","sideBox":"Learn more about [Euphytica](https://www.springer.com/journal/10681)","snPcode":"10681","submissionUrl":"https://submission.springernature.com/new-submission/10681/3","title":"Euphytica","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"f8a051e4-6be3-4c02-85b8-e6d4697269f0","owner":[],"postedDate":"March 15th, 2021","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[{"id":2949837,"name":"Space Exploration"}],"tags":[],"updatedAt":"2021-05-12T23:53:53+00:00","versionOfRecord":[],"versionCreatedAt":"2021-03-15 21:48:54","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-284934","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-284934","identity":"rs-284934","version":["v1"]},"buildId":"FbvkV6FR0MCFSLy54lSbu","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}