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为大山雀 Parus major 设计并跨人群应用全基因组 SNP 芯片。

The design and cross-population application of a genome-wide SNP chip for the great tit Parus major.

机构信息

Animal Breeding and Genomics Centre, Wageningen University, De Elst 1, Wageningen, 6708 WD, the Netherlands.

出版信息

Mol Ecol Resour. 2012 Jul;12(4):753-70. doi: 10.1111/j.1755-0998.2012.03141.x. Epub 2012 Apr 5.

DOI:10.1111/j.1755-0998.2012.03141.x
PMID:22487530
Abstract

The vast amount of phenotypic information collected in some wild animal populations makes them extremely valuable for unravelling the genetics of ecologically important traits and understanding how populations adapt to changes in their environment. Next generation sequencing has revolutionized the development of large marker panels in species previously lacking genomic resources. In this study, a unique genomics toolkit was developed for the great tit (Parus major), a model species in ecology and behavioural biology. This toolkit consists of nearly 100,000 SNPs, over 250 million nucleotides of assembled genomic DNA and more than 80 million nucleotides of assembled expressed sequences. A SNP chip with 9193 SNP markers expected to be spaced evenly along the great tit genome was used to genotype 4702 birds from two of the most intensively studied natural vertebrate populations [Wytham Woods/Bagley Woods (United Kingdom) and de Hoge Veluwe/Westerheide (The Netherlands)]. We show that (i) SNPs identified in either of the two populations have a high genotyping success in the other population, (ii) the minor allele frequencies of the SNPs are highly correlated between the two populations and (iii) despite this high correlation, a large number of SNPs display significant differentiation (F(ST) ) between the populations, with an overrepresentation of genes involved in cardiovascular development close to these SNPs. The developed resources provide the basis for unravelling the genetics of important traits in many long-term studies of great tits. More generally, the protocols and pitfalls encountered will be of use for those developing similar resources.

摘要

在一些野生动物群体中收集到的大量表型信息使它们在揭示对生态重要性状的遗传基础以及了解种群如何适应环境变化方面具有极高的价值。下一代测序技术为在以前缺乏基因组资源的物种中开发大型标记面板带来了革命性的变化。在这项研究中,为大山雀(Parus major)开发了一种独特的基因组学工具包,大山雀是生态学和行为生物学的模式物种。该工具包包含近 100,000 个 SNP、超过 2.5 亿个组装的基因组 DNA 核苷酸和 8000 多万个组装的表达序列核苷酸。使用包含 9193 个 SNP 标记的 SNP 芯片,预计这些 SNP 标记将均匀分布在大山雀基因组上,对来自两个研究最深入的自然脊椎动物种群(英国的威瑟姆森林/巴格利森林和荷兰的德霍格维卢韦/韦斯特海德)的 4702 只鸟进行基因分型。我们表明:(i) 在两个种群中鉴定出的 SNP 在另一个种群中的基因分型成功率很高,(ii) 两个种群之间 SNP 的次要等位基因频率高度相关,(iii) 尽管存在这种高度相关性,但大量 SNP 显示出种群间的显著分化(F(ST)),并且靠近这些 SNP 的基因涉及心血管发育的基因比例过高。所开发的资源为揭示大山雀的许多重要性状的遗传基础提供了基础,这些性状在长期的大山雀研究中得到了研究。更广泛地说,开发类似资源的人将从遇到的协议和陷阱中受益。

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