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利用DArTseq技术的遗传变异与群体结构及微型核心种质库的构建

Genetic Variation and Population Structure of and Development of a Mini-Core Collection Using DArTseq.

作者信息

Ndjiondjop Marie-Noelle, Semagn Kassa, Gouda Arnaud C, Kpeki Sèdjro B, Dro Tia Daniel, Sow Mounirou, Goungoulou Alphonse, Sie Moussa, Perrier Xavier, Ghesquiere Alain, Warburton Marilyn L

机构信息

Africa Rice Center (AfricaRice), Bouake, Cote d'Ivoire.

Department of Agriculture, Forestry and Nutrition Science, University of Alberta, Edmonton, Canada.

出版信息

Front Plant Sci. 2017 Oct 17;8:1748. doi: 10.3389/fpls.2017.01748. eCollection 2017.

Abstract

The sequence variation present in accessions conserved in genebanks can best be used in plant improvement when it is properly characterized and published. Using low cost and high density single nucleotide polymorphism (SNP) assays, the genetic diversity, population structure, and relatedness between pairs of accessions can be quickly assessed. This information is relevant for different purposes, including creating core and mini-core sets that represent the maximum possible genetic variation contained in the whole collection. Here, we studied the genetic variation and population structure of 2,179 Steud. accessions conserved at the AfricaRice genebank using 27,560 DArTseq-based SNPs. Only 14% (3,834 of 27,560) of the SNPs were polymorphic across the 2,179 accessions, which is much lower than diversity reported in other species. Genetic distance between pairs of accessions varied from 0.005 to 0.306, with 1.5% of the pairs nearly identical, 8.0% of the pairs similar, 78.1% of the pairs moderately distant, and 12.4% of the pairs very distant. The number of redundant accessions that contribute little or no new genetic variation to the collection was very low. Using the maximum length sub-tree method, we propose a subset of 1,330 and 350 accessions to represent a core and mini-core collection, respectively. The core and mini-core sets accounted for ~61 and 16%, respectively, of the whole collection, and captured 97-99% of the SNP polymorphism and nearly all allele and genotype frequencies observed in the whole collection available at the AfricaRice genebank. Cluster, principal component and model-based population structure analyses all divided the 2,179 accessions into five groups, based roughly on country of origin but less so on ecology. The first, third and fourth groups consisted of accessions primarily from Liberia, Nigeria, and Mali, respectively; the second group consisted primarily of accessions from Togo and Nigeria; and the fifth and smallest group was a mixture of accessions from multiple countries. Analysis of molecular variance showed between 10.8 and 28.9% of the variation among groups with the remaining 71.1-89.2% attributable to differences within groups.

摘要

当基因库中保存的种质资源的序列变异得到恰当表征和公布时,它在植物改良中能得到最佳利用。利用低成本且高密度的单核苷酸多态性(SNP)分析,可以快速评估种质资源对之间的遗传多样性、群体结构和相关性。这些信息适用于不同目的,包括创建代表整个收集品中最大可能遗传变异的核心集和微型核心集。在此,我们使用基于27560个DArTseq标记的SNP研究了保存在非洲水稻基因库中的2179份施图德种质资源的遗传变异和群体结构。在这2179份种质资源中,只有14%(27560个中的3834个)的SNP具有多态性,这远低于其他物种报道的多样性。种质资源对之间的遗传距离在0.005至0.306之间,其中1.5%的种质资源对几乎相同,8.0%的种质资源对相似,78.1%的种质资源对中度远缘,12.4%的种质资源对非常远缘。对收集品几乎没有贡献或没有贡献新遗传变异的冗余种质资源数量非常少。使用最大长度子树法,我们分别提出了一个包含1330份和350份种质资源的子集,以代表核心集和微型核心集。核心集和微型核心集分别占整个收集品的约61%和16%,并捕获了非洲水稻基因库中整个收集品中观察到的97 - 99%的SNP多态性以及几乎所有等位基因和基因型频率。聚类分析、主成分分析和基于模型的群体结构分析均将这2179份种质资源大致分为五组,大致基于原产国,但与生态的相关性较小。第一组、第三组和第四组分别主要由来自利比里亚、尼日利亚和马里的种质资源组成;第二组主要由来自多哥和尼日利亚的种质资源组成;第五组也是最小的一组是来自多个国家的种质资源的混合。分子方差分析表明组间变异占10.8%至28.9%,其余71.1 - 89.2%归因于组内差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7056/5651524/76ec95d67164/fpls-08-01748-g0001.jpg

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