AUTHOR=Wan Xing , Jing Jia-Nan , Wang Dong-Feng , Lv Feng-Hua 

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

JOURNAL=Frontiers in Genetics

VOLUME=14

YEAR=2023

URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2023.1173017

DOI=10.3389/fgene.2023.1173017

ISSN=1664-8021

ABSTRACT=<p>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., <italic>KIT</italic>, <italic>KITLG</italic>, <italic>NBEA</italic>, <italic>RELL1</italic>, <italic>AHCY,</italic> and <italic>EDNRA</italic>), while we also discovered novel genes, such as <italic>STIM1</italic>, <italic>NRXN1</italic>, <italic>LEP</italic>, 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.</p>