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作物学报 ›› 2015, Vol. 41 ›› Issue (03): 349-358.doi: 10.3724/SP.J.1006.2015.00349

• 作物遗传育种·种质资源·分子遗传学 •    下一篇

燕大1817/北农6号重组自交系群体穗部性状的QTL定位

吴秋红1,**，陈娇娇1,**，陈永兴1，周升辉1，傅琳1，张德云1，肖尧1，王国鑫1，王振忠1，王立新2，韩俊3，袁成国4，尤明山1，刘志勇1,*   

  1. 1中国农业大学植物遗传育种系，北京100193；2北京市农林科学院，北京100197；3北京农学院，北京102206；4河北省高邑县原种场，河北高邑051330
  • 收稿日期:2014-09-09 修回日期:2014-12-19 出版日期:2015-03-12 网络出版日期:2014-12-19
  • 通讯作者: 刘志勇, E-mail: zhiyongliu@cau.edu.cn
  • 基金资助:

    本研究由国家自然科学基金项目(31271710, 31301312)和国家重点基础研究计划(973计划)项目(2011CB100104)资助。

Mapping Quantitative Trait Loci Related to Spike Traits Using a RILs Population of Yanda 1817 × Beinong 6 in Wheat (Triticum aestivum L.)

WU Qiu-Hong1,**,CHEN Jiao-Jiao1,**,CHEN Yong-Xing1,ZHOU Sheng-Hui1,FU Lin1,ZHANG De-Yun1,XIAO Yao1，WANG Guo-Xin1,WANG Zhen-Zhong1, WANG Li-Xin2,HAN Jun3,YUAN Cheng-Guo4,YOU Ming-Shan1,LIU Zhi-Yong1,*   

  1. 1 Department of Plant Genetics & Breeding, China Agricultural University, Beijing 100193, China; 2 Beijing Academy of Agriculture and Forestry Sciences, Beijing 100197, China; 3 Beijing University of Agriculture, Beijing 102206, China; 4 Gaoyi Stock Seed Farm, Gaoyi 051330, Hebei, China
  • Received:2014-09-09 Revised:2014-12-19 Published:2015-03-12 Published online:2014-12-19
  • Contact: 刘志勇, E-mail: zhiyongliu@cau.edu.cn

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被引次数

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摘要：

小麦穗部性状与单株产量密切相关。本研究以小麦骨干亲本燕大1817与优良品系北农6号衍生的269个重组自交系为材料，通过在北京和河北石家庄的2年田间试验数据，利用本实验室已构建的高密度SNP和SSR遗传连锁图谱进行穗长、穗粒数和穗粒重QTL定位。采用完备复合区间作图法共检测到29个穗部性状加性效应QTL，其中10个穗长QTL分布于1B、2D、3A、3B、4A、5A、5B、6A和7D染色体上，解释的表型变异率为2.96%~9.63%，QSl.cau-4A.2在所有5个环境中均能被检测到，解释的表型变异为5.89%~9.62%，另有7个QTL能在2个或2个以上环境中被检测到；8个穗粒数相关QTL分布于1A、3A、3D、4A和5B染色体上，解释的表型变异为4.06%~11.17%，为单个环境QTL。11个与穗粒重相关QTL分布于1A、1B、2A、2D、3A、4D、5A、5B和6B染色体上，解释的表型变异为2.79%~16.12%，其中QGws.cau-1B、QGws.cau-3A和QGws.cau-6B.2在2个或者2个以上环境中能被检测到。另外，鉴定出6个分布于1A、2D、3A、4A和5B染色体上的QTL富集区段。

关键词: 小麦, 重组自交系, 穗部性状, QTL

Abstract:

 Spike length (SL), grain number per spike (GNS), and grain weight per spike (GWS) are important spike traits associated with yield in wheat. In this study, quantitative trait loci (QTLs) for spike traits were mapped using an available high-density SNP and SSR genetic linkage map developed from a recombinant inbred line (RIL) population of Yanda 1817 × Beinong 6. Using phenotypic data on two locations (Beijing and Shijiazhuang) in two years (2011–2012 and 2012–2013 growing seasons), 29 QTLs for SL, GNS and GWS were detected by inclusive composite interval mapping (ICIM) (LOD ≥ 2.5). Among which, 10 QTLs for spike length were mapped on chromosomes 1B, 2D, 3A, 3B, 4A, 5A, 5B, 6A, and 7D with phenotypic variations ranging from 2.96% to 9.63%. A stable and major QTL associated with SL, QSl.cau-4A.2, was detected in all the environments with phenotypic variations ranging from 5.89% to 9.62%. Eight QTLs for GNS were found on chromosomes 1A, 3A, 3D, 4A, and 5B with phenotypic variations from 4.06% to 11.17%. However, they were all environments sensitive and detected in a single environment. Eleven QTLs for GWS were mapped on chromosomes 1A, 1B, 2A, 2D, 3A, 4D, 5A, 5B, and 6B with phenotypic variations ranging from 2.79% to 16.12%. The QTL QGws.cau-6B.2 was identified in three environments and the favorable allele was contributed by Beinong 6. The stable QTLs on chromosomes 3A, 4A, 6B, and 7D identified in this study may serve as target sites in marker-assisted selection of spike related traits in wheat breeding program.

Key words: Wheat, RILs, Spike trait, QTL

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