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作物学报 ›› 2011, Vol. 37 ›› Issue (12): 2173-2178.doi: 10.3724/SP.J.1006.2011.02173

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

中国不同省份籼稻地方品种的遗传结构分析

张媛媛1,束爱萍1,2,张立娜1,曹桂兰1,韩龙植1,*   

  1. 1中国农业科学院作物科学研究所 / 农作物基因资源与基因改良国家重大科学工程 / 农业部作物种质资源利用重点开放实验室,北京 100081;2江西省农业科学院水稻研究所,江西南昌330200
  • 收稿日期:2011-02-22 修回日期:2011-09-16 出版日期:2011-12-12 网络出版日期:2011-10-09
  • 基金资助:

    本研究由作物种质资源保护项目(NB2010-2130135-25-01), 国家重点基础研究发展计划(973计划)项目(2010CB125904), 国家转基因专项生物新品种培育重大专项课题(2008ZX08011-001)和国家“十一五”科技支撑计划项目(2006BAD13B01)资助。

Analysis of Genetic Structure for Indica Rice Landraces from Different Provinces in China

ZHANG Yuan-Yuan1,SHU Ai-Ping1,2,ZHANG Li-Na1,CAO Gui-Lan1,HAN Long-Zhi1,*   

  1. 1 Institute of Crop Sciences, Chinese Academy of Agricultural Sciences / National Key Facility for Crop Gene Resources and Genetic Improvement / Key Laboratory of Crop Germplasm Resources and Utilization, Ministry of Agriculture, Beijing 100081 China; 2 Rice Research Institute, Jiangxi Academy of Agricultural Sciences, Nanchang 330200, China
  • Received:2011-02-22 Revised:2011-09-16 Published:2011-12-12 Published online:2011-10-09
  • Supported by:

    本研究由作物种质资源保护项目(NB2010-2130135-25-01), 国家重点基础研究发展计划(973计划)项目(2010CB125904), 国家转基因专项生物新品种培育重大专项课题(2008ZX08011-001)和国家“十一五”科技支撑计划项目(2006BAD13B01)资助。

摘要: 利用78对SSR引物,对原产于中国14个省份的280份籼稻地方品种进行遗传多样性分析。在此基础上,采用Powermarker、Structure2.2和Popgen32三种软件分析其遗传结构。基于Nei’s遗传距离的聚类结果显示,供试材料可分为6个类群,相邻省份的品种基本聚在同一类群中,且在每个类群中各省份籼稻地方品种单独形成一个小类群,说明同一省份内品种的遗传基础较相似。而陕西籼稻地方品种聚在2个类群中,台湾籼稻地方品种聚在3个类群中,这两个省的籼稻地方品种遗传背景较复杂。按Structure 2.2软件分析结果,供试材料可分为4大类群,地理位置较近的省份籼稻地方品种基本聚在同一类群中,而陕西和台湾籼稻地方品种较分散聚于不同类群,与基于Nei’s遗传距离的聚类结果类似。按Popgen 32软件分析结果,供试材料各省份也分为4大类群。除个别省份外,相隔较近的多数省份基本聚在同一小类群或大类群中。3种软件的分析结果虽有一些差异,但基本趋于一致,并互为补充。总体而言,同一个省份的籼稻地方品种基本聚在同一小类群;相隔较近省份的籼稻地方品种多数聚类在同一个类群中,聚类结果与品种所处的地理位置相关。陕西和台湾籼稻地方品种的遗传基础较复杂。

关键词: 籼稻, 地方品种, 微卫星标记, 遗传结构

Abstract: Two hundred and eighty accessions of indica rice landraces from 14 provinces in China were analyzed using 78 microsatellite markers distributed across the whole rice genome. The genetic structure of indica rice landraces was studied by Powermarker, Structure 2.2 and Popgen 32 softwares. The 280 indica rice landraces were classified into six groups based on Nei′s genetic distance, the indica rice landraces of adjacent provinces were massed in same larger groups and those of each province were clustered together in same small groups. The genetic basis of indica rice landraces in same province was similar. But the indica rice landraces of Shaanxi were clustered in two groups and those of Taiwan in three groups, indicating their genetic bases were complicated. The 280 indica rice landraces were classified into four groups by Structure 2.2, and those of the provinces with near geographical position were clustered in the same groups. But the indica rice landraces of Shaanxi and Taiwan were dispersedly clustered in to different groups, which was similar with the result analyzed by Powermarker. The result analyzed by Popgen32 showed that 280 indica rice landraces were classified in to four groups at the level of 0.27, the landraces of adjacent provinces were clustered into same small groups or big groups except these from individual province. The results analyzed by three softwares were mainly accordant except partial difference, which can complement each other. The indica rice within a province was clustered together into small same groups, the genetic structure was correlated with geographical place. The genetic bases of indica rice landraces from Shaanxi and Taiwan was complicated.

Key words: Indica, Rice landrace, SSR marker, Genetic structure

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