研究报告

基于高密度SNP标记的肉牛人工选择痕迹筛查

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  • 1. 中国农业科学院北京畜牧兽医研究所, 中国农业科学院肉牛研究中心, 农业部畜禽遗传资源与利用重点开放实验室, 北京 100193 2. 东北农业大学动物科学技术学院, 哈尔滨 150030

收稿日期: 2012-05-25

  修回日期: 2012-08-13

  网络出版日期: 2012-10-25

基金资助

优质肉牛新品种(系)选育与关键技术研究及示范项目(编号:2011BAD28B04), 基于高密度SNP建立中国肉牛群体全基因组选择优化方案(编号:2010jc-2)和现代农业(肉牛)产业技术体系岗位科学家项目(编号:CARS-38)资助

Artificial selection for cattle based on high-density SNP markers

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  • 1. Key Laboratory of Farm Animal Genetic Resources and Utilization of Ministry of Agriculture, Beef Cattle Research Center, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China 2. College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China

Received date: 2012-05-25

  Revised date: 2012-08-13

  Online published: 2012-10-25

摘要

近年来随着遗传改良工作的实施, 人工选择大大提高了肉牛的生产性能并使其遗传基础发生巨大改变。文章基于Illumina BovineSNP50(54K)和BovineHD(770K)两款芯片数据, 采用FST检验方法分析牛群的遗传分化, 并筛查人工选择在牛的基因组留下的印记。通过全基因组范围内的扫描, 共发现47 104个“离群”位点和3064个群体特异的人工选择“候选基因”, 如CLIC5、TG、CACNA2D1、FSHR等。通过基因注释对基因的生物学过程和分子功能进行富集分析。文章构建了我国肉牛的全基因组的选择信号图谱, 为深入研究人工选择和理解生物进化提供线索, 且研究结果也显示人工选择对基因组的影响在牛品种遗传改良中发挥了重要作用。

本文引用格式

刘喜冬,王志鹏,樊惠中,李俊雅,高会江 . 基于高密度SNP标记的肉牛人工选择痕迹筛查[J]. 遗传, 2012 , 34(10) : 1304 -1313 . DOI: 10.3724/SP.J.1005.2012.01304

Abstract

With the implementation of genetic improvement in recent years, artificial selection has greatly improved beef cattle production performance and its genetic basis has been dramatically changed. In this study, based on the Illumina BovineSNP50 (54K) and BovineHD (770K) BeadChip and the FST value, we analyzed the genetic differentiation of cattle and screened the imprints of selection in bovine genome. Finally, we found 47104 OUTLIER SNP loci and 3064 candidate genes, for example, CLIC5, TG, CACNA2D1, and FSHR etc. The biological proc-esses and molecular functions of genes were analyzed through gene annotation.The results of this study established a ge-nome-wide map of selection footprints in beef cattle genome and a clue for in-depth study of artificial selection and under-standing of biological evolution.Our results indicate that artificial selection has played an important role in cattle breed genetic improvement.

参考文献

[1] Bradley DG, Cunningham EP. Genetic aspects of domes-tication. In: Fries R, Ruvinsky A, eds. The Genetics of Cattle. Wallingford: CABI Publishing, 1999: 15-31.
[2] Thornton KR, Jensen JD. Controlling the false-positive rate in multilocus genome scans for selection. Genetics, 2007, 175(2): 737-750.
[3] Weir BS, Cockerham CC. Estimating F-statistics for the analysis of population structure. Evolution, 1984, 38(6): 1358-1370.
[4] Akey JM, Zhang G, Zhang K, Jin L, Shriver MD. Interro-gating a high-density SNP map for signatures of natural selection. Genome Res, 2002, 12(12): 1805-1814.
[5] Hayes BJ, Chamberlain AJ, Maceachern S, Savin K, McPartlan H, MacLeod I, Sethuraman L, Goddard ME. A genome map of divergent artificial selection between Bos taurus dairy cattle and Bos taurus beef cattle. Anim Genet, 2009, 40(2): 176-184.
[6] Pei YF, Li J, Zhang L, Papasian CJ, Deng HW, Heutink P. Analyses and comparison of accuracy of different geno-type imputation methods. PLoS One, 2008, 3(10): e3551.
[7] Weir BS. Population substructure: Genetic data analysis II. Sunderland, MA: Sinauer Associates, 1996: 161-173.
[8] McGill R, Tukey JW, Larsen WA. Variations of box plots. Am Stat, 1978, 32(1): 12-16.
[9] Huang DW, Sherman BT, Lempicki RA. Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists. Nucleic Acids Res, 2009, 37(1): 1-13.
[10] Qanbari S, Pimentel EC, Tetens J, Thaller G, Lichtner P, Sharifi AR, Simianer H. A genome-wide scan for signa-tures of recent selection in Holstein cattle. Anim Genet, 2010, 41(4): 377-389.
[11] Barandse WJ. Assessing lipid metabolism. Patent, International Publication Number: WO 99/23248. World Interna-tional Property Organization, 1999.
[12] Baud S, Donaldson N. The TG5 thyroglobulin gene test for amarbling quantitative trait loci evaluated in feedlot cattle. Aust J Exp Agric, 2004, 44(7): 669-674.
[13] Cohen-Zinder M, Seroussi E, Larkin DM, Loor JJ, van der Wind-Everts A, Lee JH, Drackley JK, Band MR, Hernan-dez AG, Shani M, Lewin HA, Weller JI, Ron M. Identification of a missense mutation in the bovine ABCG2 gene with a major effect on the QTL on chromosome 6 affecting milk yield and composition in Holstein cattle. Genome Res, 2005, 15(7): 936-944.
[14] MacEachern S, Hayes B, McEwan J, Goddard M. An ex-amination of positive selection and changing effective population size in Angus and Holstein cattle populations (Bos taurus)using a high density SNP genotyping platform and the contribution of ancient polymorphism to genomic diversity in domesticcattle. BMC Genom-ics, 2009, 10(1): 181.
[15] Prasad A, Schnabel RD, McKay SD, Murdoch B, Stothard P, Kolbehdari D, Wang Z, Taylor JF, Moore SS. Linkage disequilibrium and signatures of selection on chromosomes 19 and 29 in beef and dairy cattle. Anim Genet, 2008, 39(6): 597-605.
[16] Qanbari S, Pimentel EC, Tetens J, Thaller G, Lichtner P, Sharifi AR, Simianer H. A genome-wide scan for signa-tures of recent selection inHolsteincattle. Anim Genet, 2010, 41(4): 377-389.
[17] Flori L, Fritz S, Jaffrézic F, Boussaha M, Gut I, Heath S, Foulley JL, Gautier M. The genome response to artificial selection: a case study in dairy cattle. PLoS One, 2009, 4(8): e6595.
[18] Qanbari S, Gianola D, Hayes B, Schenkel F, Miller S, Moore S, Thaller G, Simianer H. Application of site and haplotype-frequency based approaches for detecting selection signatures in cattle. BMC Genomics, 2011, 12(1): 318.
[19] Black WC 4th, Baer CF, Antolin MF, DuTeauNM. Popula-tion genomics: genome-wide sampling of insect popula-tions. Annu Rev Entomol, 2001, 46(4): 441-469.
[20] Cavalli-Sforza LL. Population structure and human evolution. Proc R Soc Lond B Biol Sci, 1966, 164(995): 362-379.
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