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作物学报 ›› 2009, Vol. 35 ›› Issue (1): 41-47.doi: 10.3724/SP.J.1006.2009.00041

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

大豆蛋白质含量相关QTL间的上位效应和QE互作效应

单大鹏1,2,4,朱荣胜5**,陈立君6,齐照明2,刘春燕1,2,胡国华1,3,*,陈庆山2，*   

  1. 1黑龙江农垦科研育种中心，黑龙江哈尔滨 150090；2东北农业大学大豆研究所，黑龙江哈尔滨150030；3国家大豆工程技术研究中心，黑龙江哈尔滨150050；4 黑龙江省农科院绥化分院，黑龙江绥化152052；5 东北农业大学理学院，黑龙江哈尔滨150030；6 黑龙江省农业科学作物育种研究所，黑龙江哈尔滨 150086
  • 收稿日期:2008-04-20 修回日期:2008-07-14 出版日期:2009-01-12 网络出版日期:2008-11-17
  • 通讯作者: 陈庆山
  • 基金资助:

    本研究由国家重点基础研究发展计划（973计划）项目（2004CB117203-5），国家高技术研究发展计划（863计划）项目（2006AA10Z1F4），黑龙江省教育厅科技研究项目（10551029），黑龙江省博士后科研启动金（LHK-04014），黑龙江省博士后项目（LRB06-126）资助

Epistatic Effects and QE Interaction Effects of QTLs for Protein Content in Soybean

SHAN Da-Peng1,2,4,ZHU Rong-Seng5,*,CHEN Li-Jun6,QI Zhao-Ming2,HU Guo-Hua1,3,*,CHEN Qing-Shan2,*   

  1. 1Crop Research and Breeding Center of Land-Reclamation,Harbin 150090,China;2 Soybean Research Institute, Northeast Agricultural Universtity,Harbin 150030,China;3The National Research Center of Soybean Engine ering and Technology,Harbin 150050,China; 4Heilongjiang Academy of Agricultural Sciences,Suihua Institute,Suihua 152052,China;5College of Science,Northeast Agricultural University,Harbin 150030,China;6 Heilongjiang Academy of Agricultural Sciences Crop Breeding Institute, Harbin 150086,China
  • Received:2008-04-20 Revised:2008-07-14 Published:2009-01-12 Published online:2008-11-17
  • Contact: CHEN Qing-Shan

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被引次数

51

摘要：

利用Charleston×东农594重组自交系构建的SSR遗传图谱及混合线性模型方法对2002—2006连续5年的大豆蛋白质含量进行QTL定位，并作加性效应，加性×加性上位互作效应及环境互作效应分析。共检测到10个控制蛋白质含量的QTL，分别位于第B2、C2、D1a、E和N连锁群，其中1个表现为遗传正效应,9个表现为遗传负效应，另检测到15对影响蛋白质含量的加性×加性上位互作效应的QTL，解释该性状总变异的13.75%。环境互作检测中，发现9个QTL与环境存在互作，贡献率达到4.47%。

关键词: 大豆, 蛋白质含量, 混合线性模型, QTL与环境互作效应, 上位互作效应

Abstract:

Soybean [Glycine max (L). Merr.], widely grown in United States, Brazil, Argentina, and China, is one of the plant protein source. Protein content in soybean is a quantitative trait controlled by multiple genes, and Currently, SoyBase (2007) documented at least 76 QTL associated with protein content that have been mapped in many different populations and environments. The objective of the paper was to investigate epistatic effects and QE interaction effects of QTLs for protein content by mixed linear model. QTLs for soybean protein content were detected in a five-year experiment with the recombination inbred lines (RIL) population derived from a cross between Charleston and Dongnong 594. Ten QTLs with additive effects for protein content were mapped in the linkage groups B2, C2, D1a, E and N, one of which was the positive effect contributed by Charleston, the others of which were the negative effects donated by Dongnong 94. Fifteen QTLs pairs with epistatic effects for protein content in the RIL were detected, accounting for 13.57% of the general phenotypic variation. There existed interaction between 9 QTLs and environment, and the general contribution to protein content was 4.47%.

Key words: Soybean, Protein content, Mixed linear model, QTL×environment interaction, Epistatic effects

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