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作物学报 ›› 2010, Vol. 36 ›› Issue (10): 1674-1682.doi: 10.3724/SP.J.1006.2010.01674

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

大豆百粒重QTL定位

汪霞,徐宇,李广军,李河南,艮文全,章元明*   

  1. 南京农业大学作物遗传与种质创新国家重点实验室 / 国家大豆改良中心，江苏南京 210095
  • 收稿日期:2010-03-25 修回日期:2010-07-05 出版日期:2010-10-12 网络出版日期:2010-08-04
  • 通讯作者: 章元明，E-mail: soyzhang@njau.edu.cn
  • 基金资助:

    本研究由国家自然科学基金项目（30971848），江苏省自然科学基金项目（BK2008335），教育部新世纪优秀人才支持计划项目（NECT-05-0489），高等学校博士点基金项目（20060307008）和教育部“111”计划（B08025）资助。

Mapping Quantitative Trait Loci for 100-Seed Weight in Soybean (Glycine max L. Merr.)

WANG Xia,XU Yu,LI Guang-Jun,LI He-Nan,GEN Wen-Quan,ZHANG Yuan-Ming*   

  1. National Key Laboratory of Crop Genetics and Germplasm enhancement/National Center for Soybean Improvement,Nanjing Agricultural University,Nanjing 210095,China
  • Received:2010-03-25 Revised:2010-07-05 Published:2010-10-12 Published online:2010-08-04
  • Contact: ZHANG Yuan-ming，E-mail: soyzhang@njau.edu.cn

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2076

被引次数

42

摘要： 大豆百粒重是产量构成的重要因素之一，与产量呈正相关。本研究以溧水中子黄豆和南农493-1的504个F2正反交单株及其亲本间具有多态性的150个SSR标记信息构建连锁图谱，2008年分别在江苏南京和山东临沂两地种植其衍生的正反交F2:4家系，鉴定其百粒重，应用Win QTL Cartographer V. 2.5复合区间作图法和两地正反交联合分析进行QTL定位。结果表明, 复合区间作图法检测到16个主效QTL，联合分析检测到24个主效QTL、环境效应与细胞质效应、1个环境×QTL互作和12个细胞质×QTL互作。其中，两方法共同检测到10个主效QTL，正反交群体在两地中共同检测到3个主效QTL；Meta分析发现与其他研究一致的4个QTL。这些结果为大豆产量遗传与标记辅助育种实践提供理论基础。

关键词: 大豆, 百粒重, 数量性状基因座, 多标记联合分析, 质核互作, Meta分析

Abstract: 100-seed weight is an important yield component of soybean and has been positively correlated with seed yield. A genetic linkage map using 504 F2 plants from direct and reciprocal crosses between Lishuizhongzihuang and Nannong 493-1 was constructed. 100-seed weight for these F2:4 families were measured at Jiangpu experimental station of Nanjing Agricultural University and Linyi experimental station in 2008, respectively. The above information was used to detect quantitative trait locus (QTL) for 100-seed weight using composite interval mapping (CIM) in Win QTL Cartographer V. 2.5 and joint analysis under the framework of penalized maximum likelihood. The results showed that sixteen QTLs were identified by the CIM while thirty-nine QTLs, including twenty-four main-effect QTLs, one environmental effect, one cytoplasmic effect, one environmental interaction and twelve cytoplasmic interactions, were detected by joint analysis. Ten common main-effect QTLs detected by the above two methods, three common QTLs between direct and reciprocal crosses at the two environments, and four consensus QTLs from Meta analysis showed the stability of the results. These results provide a theoretical basis for genetic analysis of soybean yield and marker-assisted breeding.

Key words: Soybean, 100-seed weight, Quantitative trait loci, Multi-marker joint analysis, Cytoplasmic interaction, Meta analysis

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