Identifying artificial selection signals in the chicken genome.
作者： Yunlong Ma , Lantao Gu , Liubin Yang , Chenghao Sun , Shengsong Xie
DOI: 10.1371/JOURNAL.PONE.0196215
关键词: Genetic variation 、 Genetic structure 、 Gene 、 Selection (genetic algorithm) 、 Functional genomics 、 Genomics 、 Biology 、 Population genetics 、 Population 、 Genetics
摘要: Identifying the signals of artificial selection can contribute to further shaping economically important traits. Here, a chicken 600k SNP-array was employed detect using 331 individuals from 9 breeds, including Jingfen (JF), Jinghong (JH), Araucanas (AR), White Leghorn (WL), Pekin-Bantam (PB), Shamo (SH), Gallus-Gallus-Spadiceus (GA), Rheinlander (RH) and Vorwerkhuhn (VO). Per population genetic structure, breeds were combined into 5 breed-pools, 'two-step' strategy used reveal selection. GA, which has little selection, defined as reference population, total 204, 155, 305 323 potential identified in AR_VO, PB, RH_WL JH_JF, respectively. We also found derived standing de-novo variations have contributed adaptive evolution during Further enrichment analysis suggests that genomic regions harbour genes, THSR, PTHLH PMCH, responsible for economic traits, such fertility, growth immunization. Overall, this study series genes improvement revealed mechanisms evolution, be fundamental information future functional genomics study.
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