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利用泛基因组进行单核苷酸多态性(SNP)发现:单一参考方法是否已过时?

SNP Discovery Using a Pangenome: Has the Single Reference Approach Become Obsolete?

作者信息

Hurgobin Bhavna, Edwards David

机构信息

School of Agriculture and Food Sciences, University of Queensland, St. Lucia 4072, QLD, Australia.

School of Biological Sciences and Institute of Agriculture, University of Western Australia, Perth 6009, WA, Australia.

出版信息

Biology (Basel). 2017 Mar 11;6(1):21. doi: 10.3390/biology6010021.

Abstract

Increasing evidence suggests that a single individual is insufficient to capture the genetic diversity within a species due to gene presence absence variation. In order to understand the extent to which genomic variation occurs in a species, the construction of its pangenome is necessary. The pangenome represents the complete set of genes of a species; it is composed of core genes, which are present in all individuals, and variable genes, which are present only in some individuals. Aside from variations at the gene level, single nucleotide polymorphisms (SNPs) are also an important form of genetic variation. The advent of next-generation sequencing (NGS) coupled with the heritability of SNPs make them ideal markers for genetic analysis of human, animal, and microbial data. SNPs have also been extensively used in crop genetics for association mapping, quantitative trait loci (QTL) analysis, analysis of genetic diversity, and phylogenetic analysis. This review focuses on the use of pangenomes for SNP discovery. It highlights the advantages of using a pangenome rather than a single reference for this purpose. This review also demonstrates how extra information not captured in a single reference alone can be used to provide additional support for linking genotypic data to phenotypic data.

摘要

越来越多的证据表明,由于基因存在缺失变异,单个个体不足以捕捉一个物种内的遗传多样性。为了了解一个物种中基因组变异的程度,构建其泛基因组是必要的。泛基因组代表一个物种的完整基因集;它由所有个体中都存在的核心基因和仅在某些个体中存在的可变基因组成。除了基因水平的变异外,单核苷酸多态性(SNP)也是遗传变异的一种重要形式。下一代测序(NGS)的出现以及SNP的遗传性使其成为人类、动物和微生物数据遗传分析的理想标记。SNP也已广泛应用于作物遗传学中的关联作图、数量性状位点(QTL)分析、遗传多样性分析和系统发育分析。本综述着重于利用泛基因组进行SNP发现。它强调了为此目的使用泛基因组而非单一参考基因组的优势。本综述还展示了仅在单一参考基因组中未捕获的额外信息如何用于为将基因型数据与表型数据联系起来提供额外支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7b17/5372014/fe0771994edf/biology-06-00021-g001.jpg

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