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作物学报 ›› 2009, Vol. 35 ›› Issue (2): 228-238.doi: 10.3724/SP.J.1006.2009.00228

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

黑龙江省大豆遗传结构及遗传多样性分析

秦君2,3;李英慧1;刘章雄1;栾维江1;闫哲1;关荣霞1;张孟臣3;常汝镇1;李广敏2,3,*;马峙英2;邱丽娟1, *   

  1. 1中国农业科学院作物科学研究所/国家农作物基因资源与遗传改良重大科学工程开放实验室/农业部作物种质资源与生物技术重点开放实验室，北京100081；2河北农业大学，河北保定071001；3河北省农林科学院，河北石家庄050031
  • 收稿日期:2008-02-29 修回日期:2008-09-10 出版日期:2009-02-12 网络出版日期:2008-12-10
  • 通讯作者: 邱丽娟
  • 基金资助:

    本研究由国家高技术研究发展计划（863计划）（2006AA100104），国家自然科学基金项目（30490250），国家科技支撑计划项目（2006BAD13B05）资助

Genetic Structure and Diversity of Soybean Germplasm in Heilongjiang in China

QIN Jun2,3;LI Ying-Hui1;LIU Zhang-Xiong1;LUAN Wei-Jiang1;YAN Zhe1;GUAN Rong-Xia1;ZHANG Meng-Chen3;CHANG Ru-Zhen1;LI Guang-Min2,3,*,   

  1. 1National Key Facility for Crop Gene Resources and Genetic Improvement, Key Laboratory of Germplasm & Biotechnology, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081,China;2 Agricultural University of Hebei, Baoding 071000,China; 3Hebei Academy of Agricultural and Foretry Science,Shijiazhuang 050031,China
  • Received:2008-02-29 Revised:2008-09-10 Published:2009-02-12 Published online:2008-12-10
  • Contact: QIU Li-Juan

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1711

被引次数

3

摘要：

利用22个表型性状和60个微卫星(simple sequence repeat, SSR)位点对黑龙江省140份代表性种质(78份地方品种和62份育成品种)进行分析, 根据UPGMA (unweighted pair group method with arithmetic mean)和Model-base对SSR数据进行遗传结构划分。结果表明, 参试品种可分为2大类群, 第II类群的各项多样性指标均高于第I类群, 2个类群遗传距离为0.2427；PCO结果显示这2个类群分布在不同区域, 这与地理来源和育成年代密切有关。依据品种类型分为育成品种和地方品种两组, 后者的各项多样性指标均高于前者, 两组间的遗传距离为0.1131。依据表型数据的PCO分析表明, 分布区域与品种类型有关, 与SSR结构分类的结果吻合度低, 两组品种主要在3个主成分的6个表型性状上有所不同。它们不是2个相对独立的遗传群体, 根据分子标记和表型分类各有特点；建议在种质遗传多样性研究中将分子数据和表型数据结合起来。

关键词: 黑龙江省;大豆;微卫星标记;遗传结构;遗传多样性

Abstract:

Heilongjiang province is the main production area for soybean (Glycine max) in China, having the high genetic diversity of cultivated soybean. It is useful for breeding and production in the region to develop and create new germplasm. The aim of this study was to reveal genetic structure and genetic diversity of spring seeding soybean germplasm from Heilongjiang, and provide a reliable strategy in soybean breeding program. A total of 140 accessions of soybean cultivars including 78 landraces and 62 developed cultivars were investigated using 60 microsatellite(simple sequence repeat, SSR) markers and 22 phenotypic traits. All accessions were grouped into two clusters based on SSR with UPGMA and Model-base. The results showed that genetic diversity of clusterII was higher than that of clusterI, Nei’s genetic distance was 0.2427 between two clusters. PCO (principlal co-ordinate) analysis revealed that two clusters distributed in different regions, which was closely related to the geographic origin and breeding years. All accessions were also divided into two groups (developed cultivars and landraces) based on variety types, genetic diversity of the landraces was higher than that of developed cultivars. Nei’s genetic distance was 0.1131 between two groups. The PCO figure based on the phenotypic genetic similarity index matrix clustered 140 cultivars into developed cultivars group and landrace group. The first principal component reflected main seed coat color; the second one mainly depended on growth period and maturity data. There were obvious differences on the three principal components, which were composed of six phenotypic characters, between developed group and landraces group, which were not independent genetic clusters. The results indicated that there was abundant genetic diversity in Heilongjiang spring sown soybeans. Thus the optimal strategy combined SSR data and agronomic traits is necessary for genetic diversity analysis of soybean germplasm.

Key words: Heilongjiang province, Soybean cultivars, SSR, Genetic structure, Genetic diversity

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