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作物学报 ›› 2012, Vol. 38 ›› Issue (02): 256-263.doi: 10.3724/SP.J.1006.2012.00256

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

大豆叶片性状QTL的定位及Meta分析

仕相林1，孙亚男1，王家麟1，刘春燕1,2，陈庆山1,*，胡国华2,3,*   

  1. 1 东北农业大学研究生学院, 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:2011-04-25 修回日期:2011-10-12 出版日期:2012-02-12 网络出版日期:2011-12-01
  • 通讯作者: 胡国华, E-mail: Hugh757@vip.163.com, 0451-55199475; 陈庆山, E-mail: qshchen@126.com, 0451-55191945
  • 基金资助:

    本研究由国家现代农业产业体系(CARS-04-02A)，国家公益性行业(农业)科研专项(200903003)，黑龙江省重大科技攻关项目(GA09B103)和黑龙江省高校青年学术骨干支持计划项目(1152G007)资助。

Mapping and Meta-Analysis of QTLs for Leaf Traits in Soybean

SHI Xiang-Lin1,SUN Ya-Nan1,WANG Jia-Lin1,LIU Chun-Yan1,2,CHEN Qing-Shan1,*,HU Guo-Hua2,3,*   

  1. 1 Graduate College of Northeast Agricultural University, Harbin 150030, China; 2 The Crop Research and Breeding Center of Land-Reclamation, Harbin 150090, China; 3 The National Research Center of Soybean Engineering and Technology, Harbin 150050, China
  • Received:2011-04-25 Revised:2011-10-12 Published:2012-02-12 Published online:2011-12-01
  • Contact: 胡国华, E-mail: Hugh757@vip.163.com, 0451-55199475; 陈庆山, E-mail: qshchen@126.com, 0451-55191945

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摘要： 利用Charleston×东农594重组自交系构建SSR遗传图谱，采用WinQTLCartographer Ver. 2.5软件的CIM和MIM分析方法对2006—2010年(F2:14~F2:18)连续5年的大豆叶长、叶宽以及叶柄长数据进行QTL定位，检测到8个与叶长有关的QTL，位于染色体Gm01、02、05、11和18上；9个与叶宽有关的QTL，位于染色体Gm01、03、05、06、11、12和16上；8个与有关叶柄长的QTL，位于染色体Gm01、03、05、06、11、17和18上。2年以上均检测到的叶长QTL为qLL5a、qLL5b、qLL1a和qLL18；叶宽QTL为qLW5a、qLW11a、qLW11b和qLW12；叶柄长QTL为qLSL11b。另外，利用BioMercator2.1的映射功能将国内外常用的大豆图谱上的叶长、叶宽QTL通过公共标记映射整合到大豆公共遗传连锁图谱Soymap2上，将搜集到的35个叶长QTL、37个叶宽QTL和本研究得到的QTL整合分析，最终得到5个大豆叶长的“通用”QTL，位于Gm09、18和19，其置信区间最小可达5.66 cM；4个大豆叶宽的“通用”QTL，位于Gm07、Gm18和Gm19，其置信区间最小可达5.67 cM，为今后对大豆叶片性状QTL精细定位, 提供了有利科学信息。

关键词: 大豆, 叶片性状, QTL定位, 整合分析

Abstract: Leaf length, width and leafstalk length affect the photosynthetic capability of plant and so increasing photosynthetic rate per unit leaf area may improve seed yield in soybean. In this study, we analyzed QTLs data of soybean leaf length, width and leafstalk length from 2006 to 2010with a F2:14–F2:18 of recombination inbred lines (RIL) population derived from a cross between Charleston and Dongnong 594 by mixed linear model approach. Eight QTLs for leaf length(LL) were mapped on the chromosomes Gm01, Gm02, Gm05, Gm11, Gm18 by software WinQTLCartographer Ver. 2.5, nine QTLs were identi?ed for leaf width (LW) on the chromosomes Gm01, Gm03, Gm05, Gm06, Gm11, Gm12, Gm16; eight QTLs were identi?ed for leafstalk length (LSL) on Gm01, Gm03, Gm05, Gm06, Gm11, Gm17, Gm18. qLL5a, qLL5b, qLL1a, and qLL18 for LL, qLW5a, qLW11a, qLW11b, and qLW12 for LW, and qLSL11b for LSL were identi?ed in more than two years. Furthermore, not only 72 QTLs of leaf traits that have been mapped in many different populations and environments were collected but also QTL mapped by WinQTLCartographer Ver. 2.5 were projected and integrated in the reference map with the software BioMercator2.1. In total, the consensus QTLs of five for leaf length and four for leaf width were obtained in soybean, respectively. The minimum confidence interval of leaf length was shrunk to 5.66 cM. These results would provide a basis for fine mapping QTL and cloning genes in soybean.

Key words: Soybean [Glycine max (L.) Merr.], Leaf traits, QTL mapping, Meta-analysis

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