中国农业科学 ›› 2012, Vol. 45 ›› Issue (13): 2580-2591.doi: 10.3864/j.issn.0578-1752.2012.13.003

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

芝麻茎点枯病抗性关联分析及抗病载体材料挖掘

 张艳欣, 王林海, 黎冬华, 危文亮, 高媛, 张秀荣   

  1. 中国农业科学院油料作物研究所/农业部油料作物生物学与遗传育种重点实验室,武汉 430062
  • 收稿日期:2012-01-20 出版日期:2012-07-01 发布日期:2012-03-23
  • 通讯作者: 通信作者张秀荣,Tel:027-86811836;E-mail:zhangxr@oilcrops.cn
  • 作者简介:张艳欣,Tel:027-86711856;E-mail:zhyx026@yahoo.com.cn
  • 基金资助:

    国家自然科学基金(30900905)、国家重点基础研究发展计划(2011CB109304-2)

Association Mapping of Sesame (Sesamum indicum L.) Resistance to Macrophomina phaseolina and Identification of Resistant Accessions

 ZHANG  Yan-Xin, WANG  Lin-Hai, LI  Dong-Hua, WEI  Wen-Liang, GAO  Yuan, ZHANG  Xiu-Rong   

  1. 中国农业科学院油料作物研究所/农业部油料作物生物学与遗传育种重点实验室,武汉 430062
  • Received:2012-01-20 Online:2012-07-01 Published:2012-03-23

摘要: 【目的】利用自然群体进行芝麻茎点枯病抗性相关分子标记开发研究,挖掘优异抗病载体材料。【方法】利用79对EST-SSR、SRAP和AFLP引物对216份芝麻核心种质进行了基因组扫描,并于2009—2011年连续3年对供试群体抗病性进行鉴定,在此基础上采用标记-性状关联分析法进行芝麻茎点枯病抗性相关基因定位。【结果】扩增获得608条多态性条带,遗传结构分析表明该群体由2个亚群组成,利用GLM(Q)和MLM(Q+K)模型通过关联分析共检测到43个标记同时与供试群体两年或三年茎点枯病病情指数(DI)显著关联,对表型变异解释率在1.82%—9.46%,两种模型检测到的相同标记有3个,其中,标记M7E6-1连续三年均能被2种模型检测到,优选出10份对茎点枯病抗性稳定的载体材料,43个关联标记在10份载体材料中的符合率变化于60%—100%,平均符合率92.09%。【结论】供试群体由2个亚群组成,亚群的划分与材料的地理来源没有必然联系,关联分析检测到43个与DI稳定显著关联的标记,供试群体抗病性变异较丰富,从中优选出10份稳定抗病载体材料。

关键词: 芝麻, 茎点枯病, 关联分析, 抗病材料, 挖掘

Abstract: 【Objective】Developing molecular markers related with resistance to Macrophomina phaseolina from natural population, identifying elite resistant accessions. 【Method】In this study, 216 sesame core collections were scanned by 79 pairs of EST-SSR, SRAP and AFLP primers, accurate identification of their resistance to Macrophomina phaseolina was carried out from 2009 to 2011, and based on these data the genes related with resistance to M. phaseolina were located by association analysis. 【Result】A total of 608 polymorphic bands were amplified, population structure analysis indicated that it was consisted of 2 subgroups, 43 markers significantly associated with M. phaseolina disease index simultaneously in 2 or 3 years were detected by association analysis based on GLM(Q) and MLM(Q+K) model, explained 1.82% to 9.46% of phenotypic variation, 3 associated markers were detected by both of 2 models, and marker M7E6-1 was presented simultaneously in 3 years. Ten accessions with resistance to M. phaseolina were identified, the coincident rate of 43 associated markers in the 10 accessions was 60% to 100%, with an average of 92.09%. 【Conclusion】 The tested population was consisted of 2 subgroups. There was no relationship between division of subgroup and geographical origin of the material, 43 markers were detected significantly and stably associated with M. phaseolina disease index. There was a diverse variation among the resistance to M. phaseolina of the tested population, and 10 accessions with stable resistance to M. phaseolina were identified.

Key words: sesame, Macrophomina phaseolina, association mapping, resistant accession, identification