Open AccessArtificial selection for cattle based on high-density SNP markers
Author(s) -
Xi-Dong Liu,
Zhipeng Wang,
Huizhong Fan,
Junya Li,
Huijiang Gao
Publication year - 2012
Publication title -
yichuan
Language(s) - English
Resource type - Journals
ISSN - 0253-9772
DOI - 10.3724/sp.j.1005.2012.01304
Subject(s) - selection (genetic algorithm) , biology , snp , genome , bovine genome , beef cattle , candidate gene , genetics , breed , snp genotyping , gene , computational biology , single nucleotide polymorphism , computer science , artificial intelligence , genotype
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 processes and molecular functions of genes were analyzed through gene annotation.The results of this study established a genome-wide map of selection footprints in beef cattle genome and a clue for in-depth study of artificial selection and understanding of biological evolution.Our results indicate that artificial selection has played an important role in cattle breed genetic improvement.