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The USDA Barley Core Collection: Genetic Diversity Population Structure and Potential for Genome-Wide Association Studies

机译:美国农业部大麦核心收藏:遗传多样性种群结构和全基因组关联研究潜力

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摘要

New sources of genetic diversity must be incorporated into plant breeding programs if they are to continue increasing grain yield and quality, and tolerance to abiotic and biotic stresses. Germplasm collections provide a source of genetic and phenotypic diversity, but characterization of these resources is required to increase their utility for breeding programs. We used a barley SNP iSelect platform with 7,842 SNPs to genotype 2,417 barley accessions sampled from the USDA National Small Grains Collection of 33,176 accessions. Most of the accessions in this core collection are categorized as landraces or cultivars/breeding lines and were obtained from more than 100 countries. Both STRUCTURE and principal component analysis identified five major subpopulations within the core collection, mainly differentiated by geographical origin and spike row number (an inflorescence architecture trait). Different patterns of linkage disequilibrium (LD) were found across the barley genome and many regions of high LD contained traits involved in domestication and breeding selection. The genotype data were used to define ‘mini-core’ sets of accessions capturing the majority of the allelic diversity present in the core collection. These ‘mini-core’ sets can be used for evaluating traits that are difficult or expensive to score. Genome-wide association studies (GWAS) of ‘hull cover’, ‘spike row number’, and ‘heading date’ demonstrate the utility of the core collection for locating genetic factors determining important phenotypes. The GWAS results were referenced to a new barley consensus map containing 5,665 SNPs. Our results demonstrate that GWAS and high-density SNP genotyping are effective tools for plant breeders interested in accessing genetic diversity in large germplasm collections.
机译:如果要继续增加谷物产量和质量以及对非生物和生物胁迫的耐受性,必须将新的遗传多样性资源纳入植物育种计划。种质资源提供了遗传和表型多样性的来源,但是必须对这些资源进行表征,以提高其在育种计划中的效用。我们使用具有7,842个SNP的大麦SNP iSelect平台对从美国农业部国家小粒收藏品33,176份中提取的2,417份大麦基因型进行了基因型分析。该核心收藏品中的大多数材料都归类为地方品种或品种/育种系,它们来自100多个国家。结构和主成分分析都确定了核心集合中的五个主要亚群,主要由地理起源和穗排数(花序结构特征)区分。在大麦基因组中发现了不同的连锁不平衡(LD)模式,许多高LD区域包含与驯化和育种选择有关的性状。基因型数据被用来定义“迷你核心”种质集,捕获核心种质中存在的大多数等位基因多样性。这些“迷你核心”组合可用于评估难以得分或昂贵的特征。 “船体覆盖”,“穗行号”和“标题日期”的全基因组关联研究(GWAS)证明了核心集合可用于定位确定重要表型的遗传因素。 GWAS结果参考了包含5665个SNP的新大麦共识图谱。我们的结果表明,GWAS和高密度SNP基因分型是对有兴趣获取大型种质资源遗传多样性的植物育种者的有效工具。

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