欢迎访问《中国农学通报》，
中国农学通报

中国农学通报 ›› 2018, Vol. 34 ›› Issue (5): 5-11.doi: 10.11924/j.issn.1000-6850.casb17020119

所属专题： 水稻

• 农学 农业基础科学 • 上一篇    下一篇

粳稻育成品种种子耐贮性的SSR关联分析

秦芳芳,刘远铭,王洋   

  1. 黑龙江大学农业资源与环境学院,黑龙江大学农业资源与环境学院,黑龙江大学农业资源与环境学院
  • 收稿日期:2017-02-28 修回日期:2018-01-17 接受日期:2017-04-20 出版日期:2018-02-26 发布日期:2018-02-26
  • 通讯作者: 王洋
  • 基金资助:
    黑龙江省科技厅自然基金“利用连锁不平衡发掘粳稻种质资源耐冷性优异等位变异及载体材料”(C201009)；国家级大学生创新项目“粳稻 品种幼苗耐缺氧能力等位变异的分布与聚合设计”(2015102121012)。

Association Analysis of Seed Storability of Japanica Cultivars with SSR Markers

  • Received:2017-02-28 Revised:2018-01-17 Accepted:2017-04-20 Online:2018-02-26 Published:2018-02-26

摘要： 旨在发掘粳稻育成品种中与种子耐贮性相关联的优异等位变异和携带优异等位变异的载体材料。利用太湖流域和黑龙江省粳稻育成品种构成的群体为实验材料，调查了100 个品种种子耐贮性指数，利用259 对SSR标记对基因组进行扫描，采用Structure 软件进行群体分析，根据GLM(general linear model)方法对标记与耐贮藏性状进行关联分析；并以携带无效等位基因(null allele)材料的表型均值作为对照，鉴别出携带优异等位变异的载体材料。（1）太湖流域粳稻育成品种的耐贮藏能力、遗传多样性高于黑龙江省；（2）与种子耐贮性关联的标记总计有71 个，与苗高关联的SSR标记有17 个，贡献率最大的是RM6811(50.54%)，增加表型效应值最大的等位变异是RM5753-215，载体材料为‘台粳16 号选紫’；与根长关联的SSR 标记有26 个，贡献率最大的是RM5753(49.3%)，增加表型效应值最大的等位变异是RM5753-207，载体材料为‘垦稻12 号’；与干重关联的SSR 标记有28 个，贡献率最大的是RM5340(50.49%)和M24481 (50.51%)，增加表型效应值最大的等位变异是RM180-101，载体材料为‘连粳4号’。

关键词: 茄尼醇, 茄尼醇, 烟草, 检测方法, 综述

Abstract: The purpose of this study is to explore elite alleles associated with seed storability from Japanica cultivars and typical carrier genotypes of these alleles. We investigated seed storability index of 100 Japanica cultivars from Taihu Lake area and Heilongjiang Province. 259 SSR markers were used to analyze the genome. The population analysis was conducted with Structure software. The association analysis between SSR markers and seed storability was conducted with general linear model. The phenotypic mean of the material with null allele was as the control, the carrier with elite allelic variation was detected. (1) The seed storability and the genetic diversity of Taihu Lake area Japanica cultivars were higher than that of Heilongjiang Province. (2) There were 71 SSR markers associated with the seed storability at all. Seventeen SSR markers associated with seedling height were detected, RM6811 had the maximum contribution rate (50.54% ). The biggest allelic variation of the increasing phenotypic effect was RM5753-215, the carrier variety was‘Taijing16haoxuanzi’. Twenty-six SSR markers associated with root length were detected, RM5753 had the biggest contribution rate (49.3%), the biggest allelic variation of the increasing phenotypic effect was RM5753-207, the carrier variety was‘Kendao2hao’. Twenty- eight SSR markers associated with dry weight were detected, RM5340 and RM24481 had the biggest contribution rate (50.49% and 50.51%, respectively), the biggest allelic variation of the increasing phenotypic effect was RM180-101, the carrier variety was‘Lianjing4hao’.