Genetic Diversity, Population Structure and Selection Signature in Begait Goats Revealed by Whole-Genome Sequencing

Author:

Gebreselase Haile Berihulay12,Nigussie Hailemichael3,Wang Changfa4,Luo Chenglong1

Affiliation:

1. State Key Laboratory of Swine and Poultry Breeding Industry Guangdong Key Laboratory of Animal Breeding and Nutrition Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China

2. Department of Biotechnology, College of Natural and Computational Science, Aksum University, Aksum 1010, Tigray, Ethiopia

3. Department of Animal Science, Adigrat University, Adigrat 7040, Tigray, Ethiopia

4. Agricultural Science and Engineering School, Liaocheng University, Liaocheng 252000, China

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.

Funder

Scientific Innovation Strategy Construction of High Level Academy of Agriculture Science

Special Fund for Provincial Rural Revitalization Strategy of Guangdong

Publisher

MDPI AG

Subject

General Veterinary,Animal Science and Zoology

Reference72 articles.

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2. Berihulay, H., Abied, A., He, X., Jiang, L., and Ma, Y. (2019). Adaptation Mechanisms of Small Ruminants to Environmental Heat Stress. Animals, 9.

3. A near Complete Genome for Goat Genetic and Genomic Research;Li;Genet. Sel. Evol.,2021

4. Present Status of the World Goat Populations and Their Productivity;Aziz;Lohmann Inf.,2010

5. CSA (2021, April 01). Federal Democratic Republic of Ethiopia: Volume II Report on Livestock and Livestock Characteristics (Private Peasant Holdings); 2017. Available online: https://searchworks.stanford.edu/view/6509594.

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