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作物学报 ›› 2008, Vol. 34 ›› Issue (06): 952-957.doi: 10.3724/SP.J.1006.2008.00952

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

大豆油分含量相关的QTL间的上位效应和QE互作效应

单大鹏1;齐照明1;邱红梅1;单彩云1;刘春燕1,2;胡国华2,3,*;陈庆山1,*   

  1. 1 东北农业大学大豆研究所, 黑龙江哈尔滨150030; 2 黑龙江省农垦科研育种中心, 黑龙江哈尔滨150090; 3 国家大豆工程技术研究中心, 黑龙江哈尔滨150050
  • 收稿日期:2007-11-19 修回日期:1900-01-01 出版日期:2008-06-12 网络出版日期:2008-06-12
  • 通讯作者: 陈庆山

Epistatic Effects of QTLs and QE Interaction Effects on Oil Content in Soybean

SHAN Da-Peng1, QI Zhao-Ming1,QIU Hong-Mei1,SHAN Cai-Yun1,LIU Chun-Yan12,HU Guo-Hua23*,CHEN Qing-Shan1*   

  1. 1 Soybean Research Institute, Northeast Agricultural University, Harbin 150030, Heilongjiang; 2 The Crop Research and Breeding Center of Land-Re-
    clamation, Harbin 150090, Heilongjiang; 3 The National Research Center of Soybean Engineering and Technology, Harbin 150050, Heilongjiang, China
  • Received:2007-11-19 Revised:1900-01-01 Published:2008-06-12 Published online:2008-06-12
  • Contact: CHEN Qing-Shan

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年到2006年连续5年的大豆油分含量进行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11个控制油分含量的QTL, 分别位于第A1、A2、B1、C2、D1a、D1b、F、H和O连锁群上, 其中2个表现为遗传正效应, 9个表现为遗传负效应, 另检测到15对影响油分含量的加性×加性上位互作效应的QTL, 解释该性状总变异的17.84%。发现9个QTL与环境存在互作, 贡献率达到5.76%。

关键词: 大豆, 油分含量, 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., 2n=2x=40] is grown worldwide, especially in the United States, Brazil, Argentina, and China. Increasing oil content in soybean seeds is one of the main aims in soybean breeding. Oil content is quantitative traits controlled by multiple genes. Many researches have used molecular markers to map quantitative trait loci (QTL). Currently, SoyBase (2007) contains at least 68 QTL associated with oil content that have been mapped in many different populations and environments. The development of molecular tools has facilitated the task of identifying chromosomal regions related to particular traits. Song et al. (2004) developed an integrated genetic map spanning 2 523.6 cM across 20 linkage groups that contained 1 849 markers, including 1 015 SSRs, 709 RFLPs, 73 RAPDs, 24 classical traits, 6 AFLPs, 10 isozymes, and 12 others. In MAS, it would be more desirable to use confirmed QTL. For this purpose, it is necessary to conduct QTL, mapping studies in as many and as diverse environments and population as feasible. In this study, QTL of soybean oil content in five different years was analyzed with a recombination inbred lines (RIL) population derived from a cross between Charleston and Dongnong 594 by mixed linear model approach. 11 QTL with additive effects for oil content were mapped in the linkage groups A1, A2, B1, C2, D1a, D1b, F, H, and O. 15 QTL pairs with epistatic effects for oil content in the RIL were detected, and the general phenotypic variation was 17.84%. 9 QTL were detected from QTL× environment interaction, and the general contribution was 5.76%.

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

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