Genome-Wide Selective Analysis of Boer Goat to Investigate the Dynamic Heredity Evolution under Different Stages

Animals

卷:12

Gaofu Wang¹  Hangxing Ren¹  Yongju Zhao²  Zhongquan Zhao²  Guangxin E³  Yanguo Han³  Yongmeng He³  Haoyuan Zhang³  Baigao Yang³  Weiyi Zhang³  Yongfu Huang³  Lu Xu³  Yan Zeng³  Chengli Liu³  Ying Yuan³  Yuehui Ma⁴  Mingxing Chu⁴ 

[1] Chongqing Academy of Animal Sciences, Chongqing 402460, China;

[2] Chongqing Key Laboratory of Forage & Herbivore, Chongqing 400715, China;

[3] College of Animal Science and Technology, Southwest University, Chongqing 400715, China;

[4] Institute of Animal Husbandry and Veterinary Medicine, Chinese Academy of Agricultural Sciences, Beijing 100097, China;

关键词: Boer goat;    genome-wide selective analysis;    artificial selection;    candidate genes;   

DOI  :  10.3390/ani12111356

来源: DOAJ

【 摘 要 】

Boer goats, as kemp in meat-type goats, are selected and bred from African indigenous goats under a long period of artificial selection. Their advantages in multiple economic traits, particularly their plump growth, have attracted worldwide attention. The current study displayed the genome-wide selection signature analyses of South African indigenous goat (AF), African Boer (BH), and Australian Boer (AS) to investigate the hereditary basis of artificial selection in different stages. Four methods (principal component analysis, nucleotide diversity, linkage disequilibrium decay, and neighbor-joining tree) implied the genomic diversity changes with different artificial selection intensities in Boer goats. In addition, the θπ, F_ST, and XP-CLR methods were used to search for the candidate signatures of positive selection in Boer goats. Consequently, 339 (BH vs. AF) and 295 (AS vs. BH) candidate genes were obtained from SNP data. Especially, 10 genes (e.g., BMPR1B, DNER, ITGAL, and KIT) under selection in both groups were identified. Functional annotation analysis revealed that these genes are potentially responsible for reproduction, metabolism, growth, and development. This study used genome-wide sequencing data to identify inheritance by artificial selection. The results of the current study are valuable for future molecular-assisted breeding and genetic improvement of goats.

【 授权许可】

Unknown