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5.66cM;4个大豆叶宽的"通用"QTL,位于Gm07、Gm18和Gm19上,其置信区间最小可达5.67cM,为今后对大豆叶片性状QTL精细定位提供了信息。
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.
出处
《作物学报》
CAS
CSCD
北大核心
2012年第2期256-263,共8页
Acta Agronomica Sinica
基金
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
关键词
大豆
叶片性状
QTL定位
整合分析
Soybean [Glycine max（L.） Merr.]
Leaf traits
QTL mapping
Meta-analysis
