摘要:大豆是起源于中国的重要粮油兼用作物,大豆的产量较其他作物较低,提升大豆产量是目前育种的主要方向,大豆的产量构成因素有单株荚数,每荚粒数和百粒重等,而粒长、粒宽和粒高是关系到百粒重的重要性状,因此对大豆粒形的研究具有重要理论价值。粒形性状是一类数量性状,通过连锁分析和关联分析对其进行染色体定位是有效的研究方法。为了挖掘控制大豆粒形性状的功能位点,筛选优异的等位基因及优良的种质资源,本试验利用自然群体以全基因组208715个SNP标记对大豆粒形性状进行关联分析,利用GAPIT软件MLM模型对大豆粒形性状与208715个SNP标记进行全基因组的关联分析。将显著性阈值设为-LogP≥4.5(P≤3.16E-05),共检测到32个籽粒性状相关SNP标记。在186个重组自交家系(科丰1号x南农1138-2)组成的分离群体中,将阈值设为LOD>2.5,一共检测到10个籽粒性状相关QTL。40961
关键词:大豆粒形;连锁分析;关联分析。
Linkage and Association Analysis for Seed Shape Traits in Soybean
Abstract: Soybean is a important crop for grain and oil which originated from China. Comparing with other crops, the production of soybean is quite lower made it the main item for breeders to increase.The number of pods per plant; the number of seeds per pod and the weight of one hundred seeds are included in the factors for soybean yield. The seed length; the seed width and the seed height are important to the weight of one hundred seeds,so the study of seed shape is a meaningful topic. Seed shape traits are a quantitative traits, doing chromosomal location through linkage analysis and association analysis are effective way to learn it. In this experiment, natural soybean groups have been used for soybean seed shape tratis association analysis based on genome wide totally 208715 SNP markers. The Q+K model;GAPIT software and MLM model was used to analyze soybean seed shape traits with 208715 genome wide SNP markers. When the significant threshold is set as -LogP≥4.5(P≤3.16E-05), 32 SNP markers have been detected. In recombinant inbred lines (Kefeng1 x Nannong1138-2), after set the threshold as LOD>2.5, 10 QTL have been detected which are related to seed shape traits.
Key words: Seed Shape;Linkage Analysis;Association Analysis.
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