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A genome scan of recent positive selection signatures in three sheep populations 被引量:3
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作者 ZHAO Fu-ping WEI Cai-hong +4 位作者 ZHANG Li LIU Jia-sen WANG Guang-kai ZENG Tao DU Li-xin 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2016年第1期162-174,共13页
Domesticated sheep have been exposed to artificial selection for the production of fiber, meat, and milk as well as to natural selection. Such selections are likely to have imposed distinctive selection signatures on ... Domesticated sheep have been exposed to artificial selection for the production of fiber, meat, and milk as well as to natural selection. Such selections are likely to have imposed distinctive selection signatures on the sheep genome. Therefore, detecting selection signatures across the genome may help elucidate mechanisms of selection and pinpoint candidate genes of interest for further investigation. Here, detection of selection signatures was conducted in three sheep breeds, Sunite (n=66), German Mutton (n=159), and Dorper (n=93), using the Illumina OvineSNP50 Genotyping BeadChip array. Each animal provided genotype information for 43 273 autosomal single nucleotide polymorphisms (SNPs). We adopted two complementary haplotype-based statistics of relative extended haplotype homozygosity (REHH) and the cross-popu- lation extended haplotype homozygosity (XP-EHH) tests. In total, 707,755, and 438 genomic regions subjected to positive selection were identified in Sunite, German Mutton, and Dorper sheep, respectively, and 42 of these regions were detected using both REHH and XP-EHH analyses. These genomic regions harbored many important genes, which were enriched in gene ontology terms involved in muscle development, growth, and fat metabolism. Fourteen of these genomic regions overlapped with those identified in our previous genome-wide association studies, further indicating that these genes under positive selection may underlie growth developmental traits. These findings contribute to the identification of candidate genes of interest and aid in understanding the evolutionary and biological mechanisms for controlling complex traits in Chinese and western sheep. 展开更多
关键词 selection signature detection sheep genome rehh test XP-EHH test SNP chip
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Genome-wide detection of selective signatures in a Duroc pig population 被引量:1
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作者 DIAO Shu-qi LUO Yuan-yu +7 位作者 MA Yun-long DENG Xi HE Ying-ting GAO Ning ZHANG Hao LI Jia-qi CHEN Zan-mou ZHANG Zhe 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2018年第11期2528-2535,共8页
The Duroc pig has high adaptability and feeding efficiency, making it one of the most popular pig breeds worldwide. Over long periods of natural and artificial selection, genetic footprints, i.e., selective signatures... The Duroc pig has high adaptability and feeding efficiency, making it one of the most popular pig breeds worldwide. Over long periods of natural and artificial selection, genetic footprints, i.e., selective signatures, were left in the genome. In this study, a Duroc pig population (n=715) was genotyped with the Porcine SNP60K Bead Chip and the GeneSeek Genomic Profiler (GGP) Porcine Chip. The relative extended haplotype homozygosity (REHH) method was used for selective signature detection in a subset of the population (n=368), selected to represent a balanced family structure. In total, 154 significant core regions were detected as selective signatures (,P〈0.01), some of which overlap with previously reported quantitative trait loci associated with several economically important traits, including average daily gain and backfat thickness. Genome annotation for these significant core regions revealed a variety of interesting candidate genes including GATA3, TAF3, ATP5C1, and FGFI. These genes were functionally related to anterior/posterior pattern specification, phosphatidylinositol 3-kinase signaling, embryonic skeletal system morphogenesis, and oxidation-reduction processes. This research provides knowledge for the study of selection mechanisms and breeding practices in Duroc and other pigs. 展开更多
关键词 DUROC selective signature candidate genes rehh
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