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Combined approaches to reveal genes associated with litter size in Yunshang black goats

文献类型: 外文期刊

作者: Tao, L. 1 ; He, X. Y. 1 ; Jiang, Y. T. 2 ; Lan, R. 2 ; Li, M. 3 ; Li, Z. M. 3 ; Yang, W. F. 3 ; Hong, Q. H. 2 ; Chu, M. X. 1 ;

作者机构: 1.Chinese Acad Agr Sci, Key Lab Anim Genet Breeding & Reprod, Minist Agr & Rural Affairs, Inst Anim Sci, Beijing 100193, Peoples R China

2.Yunnan Anim Sci & Vet Inst, Kunming 650224, Yunnan, Peoples R China

3.Annoroad Gene Technol Co Ltd, Beijing 100176, Peoples R China

关键词: extended haplotype homozygosity; genome-wide association study; goat; kidding number; runs of homozygosity; signatures of selection

期刊名称:ANIMAL GENETICS ( 影响因子:3.169; 五年影响因子:3.058 )

ISSN: 0268-9146

年卷期: 2020 年 51 卷 6 期

页码:

收录情况: SCI

摘要: Intensive artificial selection has been imposed in Yunshang black goats, the first black specialist mutton goat breed in China, with a breeding object of improving reproductive performance, which has contributed to reshaping of the genome including the characterization of SNP, ROH and haplotype. However, variation in reproductive ability exists in the present population. A WGS was implemented in two subpopulations (polytocous group, PG, and monotocous group, MG) with evident differences of litter size. Following the mapping to reference genome, and SNP calling and pruning, three approaches - GWAS, ROH analysis and detection of signatures of selection - were employed to unveil candidate genes responsible for litter size. Consequently, 12 candidate genes containingOSBPL8with the minimumP-value were uncovered by GWAS. Differences were observed in the pattern of ROH between two subpopulations that shared similar low inbreeding coefficients. Two ROH hotspots and 12 corresponding genes emerged from ROH pool association analysis. Based on thenS(L)statistic, 15 and 61 promising genes were disclosed under selection for MG and PG respectively. Of them, some promising genes participate in ovarian function (PPP2R5C,CDC25A,ESR1,RPS26andSERPINBs), seasonal reproduction (DIO3,BTG1andCRYM) and metabolism (OSBPL8,SLC39A5andSERPINBs). Our study pinpointed some novel promising genes influencing litter size, provided a comprehensive insight into genetic makeup of litter size and might facilitate selective breeding in goats.

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