SNP discovery by exome capture and resequencing in a pea genetic resource collection

Grégoire Aubert, Jonathan Kreplak, Magalie Leveugle, Hervé Duborjal, Anthony Klein, Karen Boucherot, Emilie Vieille, Marianne Chabert-Martinello, Corinne Cruaud, Virginie Bourion, Isabelle Lejeune-Hénaut, Marie-Laure Pilet-Nayel, Yanis Bouchenak-Khelladi, Nicolas Francillonne, Nadim Tayeh, Jean-Philippe Pichon, Nathalie Rivière, Judith Burstin
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Abstract

Pea is a major pulse crop in temperate regions and a model plant in genetics. Large genetic marker resources are needed to assess the genetic diversity in the species genepool and to provide selection tools for breeders. In this study, we used second-generation sequencing to perform an exome-capture protocol using a diverse pea germplasm collection, and produced a resource of over 2 million Single Nucleotide Polymorphisms. This dataset was then used to characterize the genetic diversity present in the panel and compute phylogenetic and structure analyses. The development of this resource paves the way for Genome-wide association studies and the development of powerful genotyping tools.
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通过外显子组捕获和重测序在豌豆遗传资源收集中发现SNP
豌豆是温带地区主要的豆类作物,也是遗传学上的模式植物。需要大量的遗传标记资源来评估物种基因库的遗传多样性,并为育种者提供选择工具。在这项研究中,我们使用第二代测序技术,利用不同的豌豆种质收集执行外显子组捕获协议,并产生了超过200万个单核苷酸多态性的资源。然后使用该数据集表征面板中存在的遗传多样性,并计算系统发育和结构分析。该资源的开发为全基因组关联研究和强大的基因分型工具的开发铺平了道路。
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