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

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.

Differences in Milk Proteomic Profiles between Estrous and Non-Estrous Dairy Cows

“…In this study, ACACA was found to be enriched in fatty acid biosynthesis and metabolism by bioinformatics analysis. Indeed, ACACA is a biotin-dependent enzyme [ 29 ], and the C-terminal carboxytransferase domain of ACACA catalyzes the carboxylation of acetyl-CoA to malonyl-CoA and, therefore, is involved in the fatty acid synthesis [ 30 ]. Thus, ACACA may also play an important role in estrus regulation.…”

Identification of Copy Number Variations and Selection Signatures in Wannan Spotted Pigs by Whole Genome Sequencing Data: A Preliminary Study

“…Several studies have demonstrated that ACACA has a significant impact on the fatty acid profiles of cattle, including C10:0, C14:0, and C13:0 [46][47][48][49]. In a transcriptomic and lipid metabolomic analysis of beef cattle, ACACA positively correlated with total MUFA [50]. In the Puławska breed (a Poland native pig breed originating from the Lublin region), ACACA exhibited a relationship with IMF content, with differences reaching 20% [51].…”

Full-Length Transcriptome and Gene Expression Analysis of Different Ovis aries Adipose Tissues Reveals Transcript Variants Involved in Lipid Biosynthesis

“…Gene transcripts undergo diverse splicing to generate various isoforms. With the commercialization of sequencing platforms and the reduced sequencing costs, transcriptome sequencing technology has found widespread application in animal transcriptome studies, including pigs [ 7 ], chickens [ 8 ], beef cattle [ 9 ], goats [ 10 ], and sheep [ 11 ]. Previous studies on sheep fat metabolism have primarily focused on short-read RNA-seq data from second-generation sequencing platforms [ 11 , 12 , 13 ].…”