Genome-wide association study on abdomen depth, head width, hip width, and withers height in native cattle of Guilan (Bos indicus).
Mohammad Golshani JourshariAbdol Ahad ShadparvarNavid Ghavi Hossein-ZadehFarjad RafeieMohammad Hossein BanabaziAnna Maria JohanssonPublished in: PloS one (2023)
Native breeds in any country are a national capital, and their preservation is of great importance. Native Cattle of Guilan (NCG) is one of the few pure native breeds in Iran and the West Asia region. During the last decade, NCG population has decreased by more than 40%. This study aimed to identify significant single nucleotide polymorphisms (SNPs) and candidate genes associated with meat production traits in NCG using a genome-wide association study (GWAS). The blood and hair samples were collected from 72 NCG individuals and genotyped using the Illumina Bovine SNP50 chip. The results of the genomic scan showed that several SNPs were associated with abdominal depth, head width, hip width, and withers height in NCG. Several candidate genes were identified, including multiple epidermal growth factor-like domains 11 (MEGF11), Methionine Sulfoxide Reductase A (MSRA), chondroitin sulfate synthase 3 (CHSY3), Cyclin-Dependent Kinase 7 (CDK7), and Parkin (PRKN) genes, which are involved in muscle growth, meat tenderness, differentiation of fat cells, fat metabolism, and adipogenesis. These genes can contribute to meat quantity and quality in NCG. This study provided valuable insights into the genetics of NCG and the identification of effective genes associated with meat production traits. The results of this study could be used for the preservation and sustainable use of this breed of native cattle, as an important genetic resource in Iran.
Keyphrases
- genome wide
- genome wide association study
- growth factor
- adipose tissue
- body mass index
- dna methylation
- cell cycle
- gene expression
- computed tomography
- optical coherence tomography
- oxidative stress
- cell cycle arrest
- signaling pathway
- genetic diversity
- cell death
- insulin resistance
- cell proliferation
- single cell
- pi k akt
- tyrosine kinase
- genome wide analysis