作者: Minhui Chen , Dunfei Pan , Hongyan Ren , Jinluan Fu , Junya Li
DOI: 10.1186/S12711-016-0254-5
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摘要: The identification of signals left by recent positive selection provides a feasible approach for targeting genomic variants that underlie complex traits and fitness. A better understanding the mechanisms occurred during evolution species can also be gained. In this study, we simultaneously detected genome-wide footprints within between Chinese Holstein Simmental populations, which have been subjected to artificial distinct purposes. We conducted analyses using various complementary approaches, including LRH, XP-EHH FST, based on Illumina 770K high-density single nucleotide polymorphism (SNP) array, enable more comprehensive detection. successfully constructed profiles selective in both cattle populations. To further annotate these regions, identified set novel functional genes related growth, reproduction, immune response milk production. There were no overlapping candidate windows two breeds. Finally, investigated distribution SNPs had low FST values across five regions genome. low-minor allele frequency bin, found higher proportion low-FST exons bovine genome, indicates strong purifying exons. signatures populations demonstrated pressure important with potential functions are involved many biological processes. under selection. Our findings provide insight into will facilitate follow-up studies economically cattle.