Journal of Genetics and Genomics
3 February 2023
Genomic and transcriptomic analyses enable the identification of important genes associated with subcutaneous fat deposition in Holstein cows
Hailiang Zhanga,1, Siyuan Mia,1, Luiz F. Britob, Lirong Hua, Lei Wanga, Longgang Maa, Qing Xuc, Gang Guod, Ying Yua,*, Yachun Wanga,*
a Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory of Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
b Department of Animal Sciences, Purdue University, West Lafayette, IN 47907, USA
c Institute of Life Sciences and Bioengineering, Beijing Jiaotong University, Beijing 100044, China
d Beijing Sunlon Livestock Development Co. Ltd, Beijing 100176, China
1 These authors contributed equally to this work.
10.1016/j.jgg.2023.01.011
The main objectives of this study are to identify key candidate genes regulating subcutaneous fat deposition in high-producing dairy cows by integrating genomic and transcriptomic datasets. A total of 1654 genotyped Holstein cows are used to perform a genome-wide association study (GWAS) aiming to identify genes associated with subcutaneous fat deposition. Subsequently, weighted gene co-expression network analyses (WGCNA) are conducted based on RNA-sequencing data of 34 cows and cow yield deviations of subcutaneous fat deposition. Lastly, differentially expressed (DE) mRNA, lncRNA, and differentially alternative splicing genes are obtained for 12 Holstein cows with extreme and divergent phenotypes for subcutaneous fat deposition. Integrating all findings, the NID2, STARD3, UFC1, DEDD, PPP1R1B, and USP21 genes are considered to be the most important candidate genes influencing subcutaneous fat deposition traits in Holstein cows.
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