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[1]蔡晗,赵琳,沈颖,等.大豆抗花叶病毒SC3株系的分子标记筛选及种质抗性鉴定 [J].大豆科学,2021,40(01):1-10.[doi:10.11861/j.issn.1000-9841.2021.01.0001]
　CAI Han,ZHAO Lin,SHEN Ying,et al.Molecular Marker Screening and Resistance Identification of Soybean Germplasem to SMV Strain SC3[J].Soybean Science,2021,40(01):1-10.[doi:10.11861/j.issn.1000-9841.2021.01.0001]

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大豆抗花叶病毒SC3株系的分子标记筛选及种质抗性鉴定

《大豆科学》[ISSN:1000-9841/CN:23-1227/S] 卷: 第40卷期数: 2021年01期页码: 1-10 栏目: 出版日期: 2021-01-20

Title:: Molecular Marker Screening and Resistance Identification of Soybean Germplasem to SMV Strain SC3

文章编号:: 2021,40(1)：001-010

作者:: 蔡晗; 赵琳; 沈颖; 陈圆圆; 智海剑; 李凯; （1.南京农业大学大豆研究所/国家大豆改良中心/农业部大豆生物学与遗传育种重点实验室/作物遗传与种质创新国家重点实验室，江苏南京 210095；2.杭州市农业科学研究院农作物（生态）研究所，浙江杭州 310024）

Author(s):: CAI Han; ZHAO Lin; SHEN Ying; CHEN Yuan-yuan; ZHI Hai-jian; LI Kai; (1.Soybean Research Institute of Nanjing Agricultural University/National Center for Soybean Improvement/Key Laboratory of Biology and Genetic Improvement of Soybean, Ministry of Agriculture/State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing 210095, China;2.Institute of Crops and Ecology, Hangzhou Academy of Agricultural Sciences, Hangzhou 310024, China)

关键词:: 大豆花叶病毒; 分子标记; SSR; CH0211; 抗性鉴定; 抗病表型符合率

Keywords:: Soybean mosaic virus; Molecular markers; SSR; CH0211; Resistance identification; Coincidence rate of disease resistance phenotypic

DOI:: 10.11861/j.issn.1000-9841.2021.01.0001

文献标志码:: A

摘要:: 为进一步寻找与大豆花叶病毒(Soybean Mosaic Virus, SMV)流行株系SC3抗病基因（Rsc3）紧密连锁的分子标记，以促进SMV抗病基因挖掘及抗病品种的选育，本研究利用96份品种（系）对SMV抗性位点Rsc3附近新设计的30个SSR标记和50个已知与Rsc3连锁的SSR标记进行初筛，然后采用基因型与表型和血清学鉴定相结合的方法，对288份2016—2019年中国新育成的大豆品种（系）进行了大豆花叶病毒SC3株系的抗性鉴定。结果表明：筛选到1个新开发的SSR标记CH0211，与大豆品种抗性表型选择的符合率为87.8%；进一步利用该标记对288份大豆品种（系）进行检测和分析，结合人工接种表型和血清学联合鉴定，抗病表型与基因型符合率为80.56%。288份大豆品种（系）中共鉴定出158份对SC3表现抗病的大豆品种(系)，占参试材料总数的54.86%。鉴定出与抗病品种带型一致的材料144份，PI96983、齐黄34、汾豆104、山宁28等116份品种(系)的抗性表型与抗病分子带型一致。本研究开发和鉴定了1个与Rsc3紧密连锁的分子标记CH0211，该标记可有效用于大豆品种抗SMV SC3的种质资源筛选，加速大豆抗SMV育种进程。

Abstract:: To further search for molecular markers closely linked to the resistance genes (Rsc3) of soybean mosaic virus (SMV) prevalent strain SC3, providing an accurate and rapid method for breeding resistant cultivars and promoting the SMV resistance genes mining. In the present study, 30 SSR markers newly designed near the SMV resistance site and 50 SSR markers known to be linked to Rsc3 were preliminary screened via 96 soybean cultivars(lines), and the resistance of288 newly bred soybean varieties(lines) from 2016 to 2019 in China were identified combining with genotype, phenotype and serological identification. The result showed that, one newly developed SSR marker CH0211 was initially screened, and the coincidence rate with the resistance phenotypic selection of soybean varieties was 87.8%. Then, 288 soybean cultivars(lines) were further detected and analyzed by using this marker. With the combination of artificial inoculation phenotype and serological identification, the coincidence rate of disease resistance phenotype and genotype was 80.56%. In this study, 158 soybean cultivars with disease resistance to SC3 were identified from 288 soybean cultivars(lines), accounting for 54.86% of the total tested materials, and the molecular bands of 144 soybean cultivars(lines) were identified that were consistent with the type of disease-resistant cultivars(lines). Totally ， the phenotypes of 116 cultivars(lines) were consistent with the resistance molecular bands, including PI96983, Qihuang 34, Fendou 104, and Shanning 28. All in all, we developed and identified a molecular marker CH0211 closely linked to Rsc3. This marker can be effectively used in germplasm selection of soybean cultivars resistant to SMV SC3 and accelerate the breeding process of soybean resistance to SMV.

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备注/Memo

国家重点研发计划（ 2017YFD0101504 ）；国家自然科学基金（ 31671718 ）；现代农业产业技术体系建设专项（ CARS-04 ）；江苏省现代作物生产协同创新（ JCIC-MCP ）；现代作物生产省部共建协同创新中心（ CIC-MCP ）。

更新日期/Last Update: 2021-02-09