Whole-genome selective scans detect genes associated with important phenotypic traits in goat (Capra hircus)

Frontiers in Genetics

Genetics

Dong-Feng Wang¹  Jia-Nan Jing²  Feng-Hua Lv²  Xing Wan² 

[1] CAS Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences (CAS), Beijing, China;University of Chinese Academy of Sciences (UCAS), Beijing, China;College of Animal Science and Technology, China Agricultural University, Beijing, China;

关键词: goat;    artificial selection;    phenotypic traits;    whole-genome scan;    candidate genes;   

DOI  :  10.3389/fgene.2023.1173017

 received in 2023-02-24, accepted in 2023-04-03,  发布年份 2023

来源: Frontiers

【 摘 要 】

Goats with diverse economic phenotypic traits play an important role in animal husbandry. However, the genetic mechanisms underlying complex phenotypic traits are unclear in goats. Genomic studies of variations provided a lens to identify functional genes. In this study, we focused on the worldwide goat breeds with outstanding traits and used whole-genome resequencing data in 361 samples from 68 breeds to detect genomic selection sweep regions. We identified 210–531 genomic regions with six phenotypic traits, respectively. Further gene annotation analysis revealed 332, 203, 164, 300, 205, and 145 candidate genes corresponding with dairy, wool, high prolificacy, poll, big ear, and white coat color traits. Some of these genes have been reported previously (e.g., KIT, KITLG, NBEA, RELL1, AHCY, and EDNRA), while we also discovered novel genes, such as STIM1, NRXN1, LEP, that may be associated with agronomic traits like poll and big ear morphology. Our study found a set of new genetic markers for genetic improvement in goats and provided novel insights into the genetic mechanisms of complex traits.

【 授权许可】

Unknown   
Copyright © 2023 Wan, Jing, Wang and Lv.