A genome-wide scan for selection signatures in Nellore cattle

被引:16
|
作者
Somavilla, A. L. [1 ]
Sonstegard, T. S. [2 ]
Higa, R. H. [3 ]
Rosa, A. N. [4 ]
Siqueira, F. [4 ]
Silva, L. O. C. [4 ]
Torres Junior, R. A. A. [4 ]
Coutinho, L. L. [5 ,7 ]
Mudadu, M. A. [6 ]
Alencar, M. M. [6 ,7 ]
Regitano, L. C. A. [6 ,7 ]
机构
[1] UNESP, FCAV, Programa Posgrad Genet & Melhoramento Anim, Jaboticabal, Brazil
[2] USDA ARS, Bovine Funct Genom Lab, ANRI, Beltsville, MD USA
[3] Embrapa Informat Agr, Campinas, SP, Brazil
[4] Embrapa Gado Corte, Campo Grande, Brazil
[5] Univ Sao Paulo, Escola Super Agr Luiz de Queiroz Esalq, Piracicaba, Brazil
[6] Embrapa Pecuaria Sudeste, Sao Carlos, SP, Brazil
[7] CNPq, Brasilia, DF, Brazil
关键词
beef cattle; Bos indicus; genotyping; linkage disequilibrium; relative extended haplotype homozygosity; single nucleotide polymorphisms; LINKAGE DISEQUILIBRIUM; ASSOCIATION; GROWTH; GENE; TRAITS; EXPRESSION; MARKERS; IDENTIFICATION; POLYMORPHISMS; PROFILES;
D O I
10.1111/age.12210
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Brazilian Nellore cattle (Bos indicus) have been selected for growth traits for over more than four decades. In recent years, reproductive and meat quality traits have become more important because of increasing consumption, exports and consumer demand. The identification of genome regions altered by artificial selection can potentially permit a better understanding of the biology of specific phenotypes that are useful for the development of tools designed to increase selection efficiency. Therefore, the aims of this study were to detect evidence of recent selection signatures in Nellore cattle using extended haplotype homozygosity methodology and BovineHD marker genotypes (>777000 single nucleotide polymorphisms) as well as to identify corresponding genes underlying these signals. Thirty-one significant regions (P<0.0001) of possible recent selection signatures were detected, and 19 of these overlapped quantitative trait loci related to reproductive traits, growth, feed efficiency, meat quality, fatty acid profiles and immunity. In addition, 545 genes were identified in regions harboring selection signatures. Within this group, 58 genes were associated with growth, muscle and adipose tissue metabolism, reproductive traits or the immune system. Using relative extended haplotype homozygosity to analyze high-density single nucleotide polymorphism marker data allowed for the identification of regions potentially under artificial selection pressure in the Nellore genome, which might be used to better understand autozygosity and the effects of selection on the Nellore genome.
引用
收藏
页码:771 / 781
页数:11
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