Transcriptomics and Lipid Metabolomics Analysis of Subcutaneous, Visceral, and Abdominal Adipose Tissues of Beef Cattle

Genes (Basel). 2022 Dec 22;14(1):37. doi: 10.3390/genes14010037.

Abstract

Fat deposition traits are influenced by genetics and environment, which affect meat quality, growth rate, and energy metabolism of domestic animals. However, at present, the molecular mechanism of fat deposition is not entirely understood in beef cattle. Therefore, the current study conducted transcriptomics and lipid metabolomics analysis of subcutaneous, visceral, and abdominal adipose tissue (SAT, VAT, and AAT) of Huaxi cattle to investigate the differences among these adipose tissues and systematically explore how candidate genes interact with metabolites to affect fat deposition. These results demonstrated that compared with SAT, the gene expression patterns and metabolite contents of VAT and AAT were more consistent. Particularly, SCD expression, monounsaturated fatty acid (MUFA) and triglyceride (TG) content were higher in SAT, whereas PCK1 expression and the contents of saturated fatty acid (SFA), diacylglycerol (DG), and lysoglycerophosphocholine (LPC) were higher in VAT. Notably, in contrast to PCK1, 10 candidates including SCD, ELOVL6, ACACA, and FABP7 were identified to affect fat deposition through positively regulating MUFA and TG, and negatively regulating SFA, DG, and LPC. These findings uncovered novel gene resources and offered a theoretical basis for future investigation of fat deposition in beef cattle.

Keywords: adipose tissue; beef cattle; lipid metabolomics; transcriptomics.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Abdominal Fat / metabolism
  • Adipose Tissue / metabolism
  • Animals
  • Cattle
  • Fatty Acids / genetics
  • Fatty Acids / metabolism
  • Fatty Acids, Monounsaturated
  • Subcutaneous Fat* / metabolism
  • Transcriptome*

Substances

  • Fatty Acids
  • Fatty Acids, Monounsaturated

Grants and funding

This study was supported by the National Natural Science Foundations of China (31872975), the Program of National Beef Cattle and Yak Industrial Technology System (CARS-37), The Science and Technology Project of Inner Mongolia Autonomous Region (2020GG0210), and the China Agriculture Research System of MOF and MARA.