谷子SSR分子图谱的构建及主要农艺性状QTL定位
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谷子新品种选育及示范基地建设


Construction of Millet Genetic Map and QTL Analysis
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    摘要:

    试验拟对谷子重要农艺性状进行数量性状位点QTL分析。以表型差异较大的沈3/晋谷20F2作图群体为材料,观测其株高、穗长等性状,选用SSR做分子标记,利用完备区间作图法(BASTEN C J)进行QTL分析。结果显示,表型数据在作图群体中呈现连续分布,表现为多基因控制的数量性状,被整合的54个SSR标记构建10个连锁群,LOD阈值设置为2.0,检测到与株高相关的主效QTL2个,联合贡献率45.9637%,穗长主效QTL1个,贡献率14.9647%,与穗重、粒重相关的主效QTL为同一位点,贡献率分别为11.9601%和10.1879%。有6组QTL位点之间存在基因互作效应,大小范围为-0.4986-16.6407,对性状的贡献率在2.2716%至6.7478%之间。谷子表型控制复杂,相关QTL的检测受环境影响较大,不同连锁群QTL间互作明显。

    Abstract:

    Objective of the study is about to detect quantitative trait loci (QTLs) for such as plant height and panicle length of millet. F2 population derived from crosses of the millet cultivars Shen3譐ingu20 respectively was used for QTL analysis. Data of trait about plant height, panicle length and others was collected and recorded. By analysis,it said the traits recorded are all quantitative traits. Using SSR as molecular markers,54 markers were divided into 10 linkage group.The presence of two main-effect QTLs which are related with plant height was declared by Conplete interval mapping(BASTEN C J) using QTL IciMapping 3.0.1.21,and the total effect was 45.9637%.One main-effect QTL which is related with panicle height was detected,and its individual effect is 14.9647%.It said that the main-effect QTL about panicle weight and the one about grain weigh was the same locus,and the effects of them were 11.9601% and 10.1879%.Gene-interaction analysis indicated that there were gene-interactions between 6 QTL pairs with additive effects ranging from -0.4986 to 16.6407 and individual effects from 2.2716% to 6.7478%.Detection of QTLs for traits of millet is sensitive to environment. QTLs of all traits spread around chromosomes, and gene-interaction occurs frequently.

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王晓宇,刁现民,王节之,等.谷子SSR分子图谱的构建及主要农艺性状QTL定位[J].植物遗传资源学报,2013,14(5):871-878.

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  • 收稿日期:2013-01-09
  • 最后修改日期:2013-01-30
  • 录用日期:2013-07-09
  • 在线发布日期: 2013-08-08
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