RNA-Seq and lipidomics reveal different adipogenic processes between bovine perirenal and intramuscular adipocytes

Adipocyte. 2022 Dec;11(1):448-462. doi: 10.1080/21623945.2022.2106051.


Adipogenesis involves complex interactions between transcription and metabolic signalling. Exploration of the developmental characteristics of intramuscular adipocyte will provide targets for enhancing beef cattle marbling without increasing obesity. Few reports have compared bovine perirenal and intramuscular adipocyte transcriptomes using the combined analysis of transcriptomes and lipid metabolism to explore differences in adipogenic characteristics. We identified perirenal preadipocytes (PRA) and intramuscular preadipocytes (IMA) in Qinchuan cattle. We found that IMA were highly prolific in the early stages of adipogenesis, while PRA shows a stronger adipogenic ability in the terminal differentiation. Bovine perirenal and intramuscular adipocytes were detected through the combined analysis of the transcriptome and metabolome. More triglyceride was found to be upregulated in perirenal adipocytes; however, more types and amounts of unsaturated fatty acids were detected in intramuscular adipocytes, including eicosapentaenoic acid (20:5 n-3; EPA) and docosahexaenoic acid (22:6 n-3; DHA). Furthermore, differentially expressed genes in perirenal and intramuscular adipocytes were positively correlated with the eicosanoid, phosphatidylcholine (PC), phosphatidyl ethanolamine (PE), and sphingomyelin contents. Associated differential metabolic pathways included the glycerolipid and glycerophospholipid metabolisms. Our research findings provide a basis for the screening of key metabolic pathways or genes and metabolites involved in intramuscular fat production in cattle.

Keywords: Beef; adipogenic; lipid dynamics; marbling; transcriptome.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adipocytes / metabolism
  • Adipogenesis* / genetics
  • Animals
  • Cattle
  • Cell Differentiation
  • Lipid Metabolism
  • Lipidomics*
  • RNA-Seq

Grant support

This study was supported by the National Natural Science Foundation of China (31972994), Key Research and Development Program of Shaanxi Province (2022NY-050, 2022ZDLNY01-01, 2019NY-098), and Natural Science Foundation of Qinghai Provincial Department of science and technology (2020-ZJ-947Q).