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Genetic Structure Linkage Disequilibrium and Association Mapping of Verticillium Wilt Resistance in Elite Cotton (Gossypium hirsutum L.) Germplasm Population

机译:棉花优良种质种群黄萎病抗性的遗传结构连锁不平衡及关联定位

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摘要

Understanding the population structure and linkage disequilibrium in an association panel can effectively avoid spurious associations and improve the accuracy in association mapping. In this study, one hundred and fifty eight elite cotton (Gossypium hirsutum L.) germplasm from all over the world, which were genotyped with 212 whole genome-wide marker loci and phenotyped with an disease nursery and greenhouse screening method, were assayed for population structure, linkage disequilibrium, and association mapping of Verticillium wilt resistance. A total of 480 alleles ranging from 2 to 4 per locus were identified from all collections. Model-based analysis identified two groups (G1 and G2) and seven subgroups (G1a–c, G2a–d), and differentiation analysis showed that subgroup having a single origin or pedigree was apt to differentiate with those having a mixed origin. Only 8.12% linked marker pairs showed significant LD (P<0.001) in this association panel. The LD level for linked markers is significantly higher than that for unlinked markers, suggesting that physical linkage strongly influences LD in this panel, and LD level was elevated when the panel was classified into groups and subgroups. The LD decay analysis for several chromosomes showed that different chromosomes showed a notable change in LD decay distances for the same gene pool. Based on the disease nursery and greenhouse environment, 42 marker loci associated with Verticillium wilt resistance were identified through association mapping, which widely were distributed among 15 chromosomes. Among which 10 marker loci were found to be consistent with previously identified QTLs and 32 were new unreported marker loci, and QTL clusters for Verticillium wilt resistanc on Chr.16 were also proved in our study, which was consistent with the strong linkage in this chromosome. Our results would contribute to association mapping and supply the marker candidates for marker-assisted selection of Verticillium wilt resistance in cotton.
机译:了解关联面板中的种群结构和连锁不平衡可以有效避免虚假关联,并提高关联映射的准确性。在这项研究中,分析了来自世界各地的一百八十八个优良棉花(Gossypium hirsutum L.)种质的种群数量,这些种质与212个全基因组标记位点进行了基因分型,并通过疾病苗圃和温室筛选方法进行了表型化。黄萎病抗性的结构,连锁不平衡及相关图谱从所有集合中鉴定出总共480个等位基因,每个基因座2至4个。基于模型的分析确定了两组(G1和G2)和七个亚组(G1a-c,G2a-d),差异分析表明,具有单一血统或血统的亚组易于与具有混合血统的亚组进行区分。在该关联面板中,只有8.12%的链接标记对显示出显着的LD(P <0.001)。连锁标志物的LD水平显着高于未连锁标志物的LD水平,这表明物理连锁强烈影响该小组中的LD,并且当将小组分为组和亚组时,LD水平升高。对多个染色体的LD衰减分析表明,对于相同的基因库,不同的染色体显示LD衰减距离有显着变化。根据病房和温室环境,通过关联图谱鉴定了与黄萎病抗性相关的42个标记位点,广泛分布在15条染色体上。其中10个标记基因座与先前鉴定的QTL一致,32个是新的未报告标记基因座,并且在我们的研究中还证明了Chr.16上黄萎病抗性的QTL簇,与该染色体上的强连锁性一致。我们的结果将有助于关联作图,并为标记辅助选择棉花黄萎病抗性提供标记候选物。

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