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大豆叶片性状QTL的定位及Meta分析
引用本文:仕相林,孙亚男,王家麟,刘春燕,陈庆山,胡国华. 大豆叶片性状QTL的定位及Meta分析[J]. 作物学报, 2012, 38(2): 256-263. DOI: 10.3724/SP.J.1006.2012.00256
作者姓名:仕相林  孙亚男  王家麟  刘春燕  陈庆山  胡国华
作者单位: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
基金项目: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);黑龙江省高校青年学术骨干支持计划项目(1152G007)资助
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
收稿时间:2011-04-25

Mapping and Meta-analysis of QTLs for Leaf Traits in Soybean
SHI Xiang-Lin,SUN Ya-Nan,WANG Jia-Lin,LIU Chun-Yan,CHEN Qing-Shan,and HU Guo-Hua. Mapping and Meta-analysis of QTLs for Leaf Traits in Soybean[J]. Acta Agronomica Sinica, 2012, 38(2): 256-263. DOI: 10.3724/SP.J.1006.2012.00256
Authors:SHI Xiang-Lin  SUN Ya-Nan  WANG Jia-Lin  LIU Chun-Yan  CHEN Qing-Shan  and HU Guo-Hua
Affiliation: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
Abstract:Leaf length,width,and leafstalk length affect the photosynthetic capability of plant,and 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 leaf-stalk length from 2006 to 2010 with 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 chromo-somes Gm01,Gm02,Gm05,Gm11,Gm18 by software WinQTLCartographer Ver.2.5,nine QTLs were identified for leaf width(LW) on the chromosomes Gm01,Gm03,Gm05,Gm06,Gm11,Gm12,Gm16;eight QTLs were identified for leafstalk length(LSL) on Gm01,Gm03,Gm05,Gm06,Gm11,Gm17,Gm18.QTLs qLL5a,qLL5b,qLL1a,and qLL18 for LL,qLW5a,qLW11a,qLW11b,and qLW12 for LW,and qLSL11b for LSL were identified 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.The minimum confidence interval of leaf length was shrunk to 5.66 cM.These results would provide a basis for fine mapping of QTL and cloning genes in soybean.
Keywords:Soybean [Glycine max(L.) Merr.]  Leaf traits  QTL mapping  Meta-analysis
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