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日本基因库NBRP-小麦异地保存的六倍体种质核心收集品的群体结构及关联分析

Population structure and association analyses of the core collection of hexaploid accessions conserved ex situ in the Japanese gene bank NBRP-Wheat.

作者信息

Takenaka Shotaro, Nitta Miyuki, Nasuda Shuhei

机构信息

Laboratory of Plant Genetics, Graduate School of Agriculture, Kyoto University.

Department of Plant Life Science, Faculty of Agriculture, Ryukoku University.

出版信息

Genes Genet Syst. 2019 Jan 19;93(6):237-254. doi: 10.1266/ggs.18-00041. Epub 2018 Dec 15.

Abstract

In this study, we investigated the genetic diversity and population structure of the core collection of hexaploid wheat accessions in the Japanese wheat gene bank NBRP-Wheat. The core collection, consisting of 188 accessions of Triticum aestivum, T. spelta, T. compactum, T. sphaerococcum, T. macha and T. vavilovii, was intensively genotyped by DArTseq markers and consisted of 20,186 SNPs and 60,077 present and absent variations (PAVs). Polymorphic markers were distributed in all chromosomes, with a tendency for smaller numbers on the D-genome chromosomes. We examined the population structure by Bayesian clustering and principal component analysis with a general linear model. Overall, the core collection was divided into seven clusters. Non-admixture accessions in each cluster indicated that the clusters reflect the geographic distribution of the accessions. Both structure analyses strongly suggested that the cluster consisting of T. spelta and T. macha is out-grouped from other hexaploid wheat accessions. We performed genome-wide association analysis pilot studies for nine quantitative and seven qualitative traits and found marker-trait associations for all traits but one, indicating that the current core collection will be useful for detecting uncharacterized QTLs associated with phenotypes of interest.

摘要

在本研究中,我们调查了日本小麦基因库NBRP-小麦中六倍体小麦种质核心收集品的遗传多样性和群体结构。该核心收集品由188份普通小麦、斯卑尔脱小麦、密穗小麦、印度圆粒小麦、马卡小麦和瓦维洛夫小麦组成,通过DArTseq标记进行了密集基因分型,包含20186个单核苷酸多态性(SNP)和60077个存在/缺失变异(PAV)。多态性标记分布于所有染色体上,D基因组染色体上的数量有较少的趋势。我们通过贝叶斯聚类和使用一般线性模型的主成分分析来研究群体结构。总体而言,核心收集品被分为七个簇。每个簇中的非混合种质表明这些簇反映了种质的地理分布。两种结构分析都强烈表明,由斯卑尔脱小麦和马卡小麦组成的簇与其他六倍体小麦种质不同。我们对9个数量性状和7个质量性状进行了全基因组关联分析试点研究,发现除一个性状外所有性状均存在标记-性状关联,这表明当前的核心收集品将有助于检测与感兴趣表型相关的未表征数量性状基因座(QTL)。

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