期刊
GENOMICS
卷 114, 期 4, 页码 -出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ygeno.2022.110406
关键词
Subcutaneous fat deposition; Differentially expressed genes; Genomics; Transcriptomics; Beef cattle
资金
- National Natural Science Foundations of China [32172693]
- Program of National Beef Cattle and Yak Industrial Technology System [CARS-37]
- Science and Technology Project of Inner Mongolia Autonomous Region [2020GG0210]
- China Agriculture Research System of MOF and MARA
This study conducted genomics and transcriptomics analysis to detect potential genes affecting subcutaneous fat deposition in beef cattle, identified important genes related to fat deposition, and ultimately screened out seven potential biomarkers. These findings provide new insights into the regulatory mechanism underlying bovine fat accumulation.
Fat deposition is a complex economic trait regulated by polygenic genetic basis and environmental factors. Therefore, integrating multi-omics data to uncover its internal regulatory mechanism has attracted extensive attention. Here, we performed genomics and transcriptomics analysis to detect candidates affecting subcutaneous fat (SCF) deposition in beef cattle. The association of 770K SNPs with the backfat thickness captured nine significant SNPs within or near 11 genes. Additionally, 13 overlapping genes regarding fat deposition were determined via the analysis of differentially expressed genes and weighted gene co-expression network analysis (WGCNA). We then calculated the correlations of these genes with BFT and constructed their interaction network. Finally, seven biomarkers including ACACA, SCD, FASN, ACOX1, ELOVL5, HACD2, and HSD17B12 were screened. Notably, ACACA, identified by the integration of genomics and transcriptomics, was more likely to exert profound effects on SCF deposition. These findings provided novel insights into the regulation mechanism underlying bovine fat accumulation.
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