遗传 ›› 2010, Vol. 32 ›› Issue (6): 625-631.

• 研究报告 • 上一篇    下一篇

玉米SSR连锁图谱构建及叶面积的QTL定位

刘建超1,褚群2,蔡红光2,李建生2,米国华2,陈范骏1   

  1. 1. 中国农业大学资源与环境学院
    2.
  • 收稿日期:2009-11-04 修回日期:2010-03-25 出版日期:2010-06-20 发布日期:2010-05-24
  • 通讯作者: 陈范骏 E-mail:caucfj@cau.edu.cn
  • 基金资助:

    国家自然科学基金;公益性行业科研专项

SSR linkage map construction and QTL mapping for leaf area in maize

  • Received:2009-11-04 Revised:2010-03-25 Online:2010-06-20 Published:2010-05-24

摘要:

叶片是玉米进行光合作用的主要器官,叶面积的大小(尤其是穗三叶面积)对于玉米干物质的积累及产量形成起着至关重要的作用。研究玉米叶面积的遗传基础对于指导玉米高产育种具有理论意义。本研究以两个叶面积差异显著的亲本478×武312为基础材料所构建的218个F8代的重组自交系为作图群体,构建了一张包含184个SSR标记的遗传连锁图谱,图谱总长度为2084.1 cM,平均图距为11.3 cM。通过两年的田间试验对玉米叶面积(穗三叶)进行了QTL定位分析。两年共定位到7个和叶面积相关的QTL位点, 2006年定位到4个QTL位点; 2007年定位到3个QTL位点。在第2染色体umc1542-umc1518标记区间发现一个主效QTL位点,该位点可以在两年同时检测到,两年分别解释12.5%和17.3%的表型变异。该位点能稳定地检测到且具有较大的贡献率,可能会在玉米叶面积分子标记辅助选择上有所应用。

关键词: 玉米, 叶面积, 微卫星标记, 数量性状基因

Abstract:

Maize leaf is the main organ for photosynthesis. The area of leaves (especially the ear-leaf and the two leaves above and below the ear-leaf) plays a vital role in dry matter accumulation and grain yield. Therefore, genetic information about leaf area has a theoretical significance for breeding maize with high yield. In this study, a genetic linkage map composing 184 simple sequence repeat (SSR) markers was constructed based on an F8 recombinant inbred line (RIL) population, derived from a cross between 478 and W312. The parents show a significant differences in leaf area. The map covers 2084.1 cM with an average interval of 11.3 cM. QTLs for leaf area were identified under two-year’s field experiments. Totally 7 QTLs were detected in two years, among which 4 QTLs were detected in 2006 and 3 QTLs in 2007. A major QTL on chromosome 2 (between umc1542 and umc1518) were detected both in 2006 and 2007. It explains 12.5% and 17.3% of the phenotypic variation, respectively. This locus may be used as a potental marker for improving maize leaf growth through marker assisted selection (MAS) approach.

Key words: Maize, leaf area, Simple sequence repeats (SSR), Quantitative trait locus (QTL)