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使用全基因组SNP芯片评估八个牛品种的群体结构。

An assessment of population structure in eight breeds of cattle using a whole genome SNP panel.

作者信息

McKay Stephanie D, Schnabel Robert D, Murdoch Brenda M, Matukumalli Lakshmi K, Aerts Jan, Coppieters Wouter, Crews Denny, Dias Neto Emmanuel, Gill Clare A, Gao Chuan, Mannen Hideyuki, Wang Zhiquan, Van Tassell Curt P, Williams John L, Taylor Jeremy F, Moore Stephen S

机构信息

Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada.

出版信息

BMC Genet. 2008 May 20;9:37. doi: 10.1186/1471-2156-9-37.

Abstract

BACKGROUND

Analyses of population structure and breed diversity have provided insight into the origin and evolution of cattle. Previously, these studies have used a low density of microsatellite markers, however, with the large number of single nucleotide polymorphism markers that are now available, it is possible to perform genome wide population genetic analyses in cattle. In this study, we used a high-density panel of SNP markers to examine population structure and diversity among eight cattle breeds sampled from Bos indicus and Bos taurus.

RESULTS

Two thousand six hundred and forty one single nucleotide polymorphisms (SNPs) spanning all of the bovine autosomal genome were genotyped in Angus, Brahman, Charolais, Dutch Black and White Dairy, Holstein, Japanese Black, Limousin and Nelore cattle. Population structure was examined using the linkage model in the program STRUCTURE and Fst estimates were used to construct a neighbor-joining tree to represent the phylogenetic relationship among these breeds.

CONCLUSION

The whole-genome SNP panel identified several levels of population substructure in the set of examined cattle breeds. The greatest level of genetic differentiation was detected between the Bos taurus and Bos indicus breeds. When the Bos indicus breeds were excluded from the analysis, genetic differences among beef versus dairy and European versus Asian breeds were detected among the Bos taurus breeds. Exploration of the number of SNP loci required to differentiate between breeds showed that for 100 SNP loci, individuals could only be correctly clustered into breeds 50% of the time, thus a large number of SNP markers are required to replace the 30 microsatellite markers that are currently commonly used in genetic diversity studies.

摘要

背景

对种群结构和品种多样性的分析为牛的起源和进化提供了见解。此前,这些研究使用的是低密度微卫星标记,然而,鉴于现在有大量的单核苷酸多态性标记可用,在牛中进行全基因组群体遗传分析成为可能。在本研究中,我们使用高密度单核苷酸多态性标记面板来研究从印度瘤牛和普通牛中采样的八个牛品种的种群结构和多样性。

结果

对安格斯牛、婆罗门牛、夏洛来牛、荷兰黑白花奶牛、荷斯坦奶牛、日本黑牛、利木赞牛和内洛尔牛进行了基因分型,检测了跨越所有牛常染色体基因组的2641个单核苷酸多态性(SNP)。使用STRUCTURE程序中的连锁模型检查种群结构,并使用Fst估计值构建邻接树来表示这些品种之间的系统发育关系。

结论

全基因组SNP面板在一组被检测的牛品种中识别出了几个种群亚结构水平。在普通牛和印度瘤牛品种之间检测到了最大程度的遗传分化。当印度瘤牛品种被排除在分析之外时,在普通牛品种中检测到了肉牛与奶牛以及欧洲品种与亚洲品种之间的遗传差异。对区分品种所需的SNP位点数量的探索表明,对于100个SNP位点,个体只能在50%的时间内被正确聚类到品种中,因此需要大量的SNP标记来替代目前在遗传多样性研究中常用的30个微卫星标记。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7bbc/2408608/0f835d80f9a0/1471-2156-9-37-1.jpg

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