Genetic Diversity, Population Structure and Selection Signature in Begait Goats Revealed by Whole-Genome Sequencing
文献类型: 外文期刊
作者: Gebreselase, Haile Berihulay 1 ; Nigussie, Hailemichael 4 ; Wang, Changfa 5 ; Luo, Chenglong 1 ; Sanchez Guerrero, Maria Jose 1 ; Bartolome, Ester 1 ;
作者机构: 1.Guangdong Acad Agr Sci, State Key Lab Swine & Poultry Breeding Ind, Guangdong Key Lab Anim Breeding, Guangzhou 510640, Peoples R China
2.Guangdong Acad Agr Sci, Nutr Inst Anim Sci, Guangzhou 510640, Peoples R China
3.Aksum Univ, Coll Nat & Computat Sci, Dept Biotechnol, Aksum 1010, Tigray, Ethiopia
4.Adigrat Univ, Dept Anim Sci, Tigray 7040, Ethiopia
5.Liaocheng Univ, Agr Sci & Engn Sch, Liaocheng 252000, Peoples R China
关键词: Begait goat; genetic diversity; selection signature; population structure; whole-genome sequencing
期刊名称:ANIMALS ( 影响因子:3.0; 五年影响因子:3.2 )
ISSN: 2076-2615
年卷期: 2024 年 14 卷 2 期
页码:
收录情况: SCI
摘要: Simple Summary Begait is a goat population reared for meat and milk production in northern Ethiopia, Tigray region. However, molecular-based genetic evaluation of these goat breeds has not yet been performed. Hence, the estimation of their genetic parameters and selection responses is crucial for the conservation and genetic improvement of goats. In this study, we estimated genetic parameters using a whole-genome sequencing data set to analyze genetic diversity, population structure and selection signatures by comparing the Begait goat genome with the remaining four Ethiopian goat populations. Generally, our results indicated the basis for the projecting characteristics, which can be used for future genetic improvement and animal genetic resources of goat breeds.Abstract Goats belong to a group of animals called small ruminants and are critical sources of livelihood for rural people. Genomic sequencing can provide information ranging from basic knowledge about goat diversity and evolutionary processes that shape genomes to functional information about genes/genomic regions. In this study, we exploited a whole-genome sequencing data set to analyze the genetic diversity, population structure and selection signatures of 44 individuals belonging to 5 Ethiopian goat populations: 12 Aberegalle (AB), 5 Afar (AF), 11 Begait (BG), 12 Central highlands (CH) and 5 Meafure (MR) goats. Our results revealed the highest genetic diversity in the BG goat population compared to the other goat populations. The pairwise genetic differentiation (FST) among the populations varied and ranged from 0.011 to 0.182, with the closest pairwise value (0.003) observed between the AB and CH goats and a distant correlation (FST = 0.182) between the BG and AB goats, indicating low to moderate genetic differentiation. Phylogenetic tree, ADMIXTURE and principal component analyses revealed a classification of the five Ethiopian goat breeds in accordance with their geographic distribution. We also found three top genomic regions that were detected under selection on chromosomes 2, 5 and 13. Moreover, this study identified different candidate genes related to milk characteristics (GLYCAM1 and SRC), carcass (ZNF385B, BMP-7, PDE1B, PPP1R1A, FTO and MYOT) and adaptive and immune response genes (MAPK13, MAPK14, SCN7A, IL12A, EST1 DEFB116 and DEFB119). In conclusion, this information could be helpful for understanding the genetic diversity and population structure and selection scanning of these important indigenous goats for future genetic improvement and/or as an intervention mechanism.
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