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Genetic Ancestry and Genome-Wide Association Study Combined with Functional Enrichment Analyses Reveal Candidate Genes for Body Conformation Traits in Hexi Cattle

Year: 2026
Type: article
Abstract: Hexi cattle are a local cattle population endemic to the Hexi Corridor in Gansu Province, China, and exhibit strong adaptability to the region’s arid continental environment. However, comprehensive genomic investigations of this population are still lacking. In the present study, we integrated population genomic analyses with a genome-wide association study (GWAS) to dissect the genetic architecture of Hexi cattle. Whole-genome resequencing data were generated for 264 Hexi cattle, and public genomic datasets from six representative cattle breeds were obtained from the NCBI database for comparative analysis. Multiple analytical approaches—including principal component analysis (PCA), linkage disequilibrium (LD) decay analysis, neighbor-joining (NJ) phylogenetic tree construction, and ADMIXTURE analysis—were adopted to evaluate population structure and evolutionary relationships. A mixed linear model was then used to identify significant SNPs associated with five major body conformation traits in six-month-old cattle: body weight (BW), withers height (WH), hip height (HH), heart girth (HG), and abdominal girth (AG). Our results confirm the admixed nature of Hexi cattle, whose genome is derived primarily from Simmental cattle and secondarily from Mongolian cattle. A total of 69 trait-associated significant SNPs were identified and functionally annotated. Specifically, TBC1D31, DERL1 and MCPH1 were linked to BW; FSCN3 and PLBD1 to WH; MCPH1 to HH; NPAS3, TBC1D31, DERL1 and MCPH1 to HG; and SOX5, NTAQ1, FAM83A, TBC1D31, DERL1, CDH11, CPLX4 and ADAM18 to AG. This study deepens our understanding of the genetic basis of growth traits in Hexi cattle and offers valuable molecular resources for future selective breeding, genetic improvement, and long-term conservation of this indigenous cattle population.
Source: Animals
Language: English
Subfield: Genetics
Open Access status: gold
Estimated APC paid: $2,896
OpenAlex ID: W7168544001
FWCI: 3.72
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Cited by: 1
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