Transcriptome profile of skeletal muscle using different sources of dietary fatty acids in male pigs.
Simara Larissa FanalliBruna Pereira Martins da SilvaJulia Dezen GomesVivian Vezzoni AlmeidaGabriel Costa Monteiro MoreiraBárbara Silva-VignatoJuliano AfonsoFelipe André Oliveira FreitasJames Mark ReecyJames Eugene KoltesDawn A KoltesDorian John GarrickLuciana Correia de Almeida RegitanoJúlio César de Carvalho BalieiroGerson Barreto MourãoLuiz Lehmann CoutinhoHeidge FukumasuMirele Daiana PoletiSeverino Mathias de AlencarAlbino Luchiari FilhoAline Silva Mello CesarPublished in: Functional & integrative genomics (2023)
Pork is of great importance in world trade and represents the largest source of fatty acids in the human diet. Lipid sources such as soybean oil (SOY), canola (CO), and fish oil (FO) are used in pig diets and influence blood parameters and the ratio of deposited fatty acids. In this study, the main objective was to evaluate changes in gene expression in porcine skeletal muscle tissue resulting from the dietary oil sources and to identify metabolic pathways and biological process networks through RNA-Seq. The addition of FO in the diet of pigs led to intramuscular lipid with a higher FA profile composition of C20:5 n-3, C22:6 n-3, and SFA (C16:0 and C18:0). Blood parameters for the FO group showed lower cholesterol and HDL content compared with CO and SOY groups. Skeletal muscle transcriptome analyses revealed 65 differentially expressed genes (DEG, FDR 10%) between CO vs SOY, and 32 DEG for CO vs FO, and 531 DEG for SOY vs FO comparison. Several genes, including AZGP1, PDE3B, APOE, PLIN1, and LIPS, were found to be down-regulated in the diet of the SOY group compared to the FO group. The enrichment analysis revealed DEG involved in lipid metabolism, metabolic diseases, and inflammation between the oil groups, with specific gene functions in each group and altered blood parameters. The results provide mechanisms to help us understand the behavior of genes according to fatty acids.
Keyphrases
- fatty acid
- skeletal muscle
- rna seq
- single cell
- genome wide
- gene expression
- weight loss
- dna methylation
- genome wide identification
- insulin resistance
- physical activity
- drinking water
- endothelial cells
- oxidative stress
- genome wide analysis
- bioinformatics analysis
- adipose tissue
- cognitive decline
- high fat diet
- clinical evaluation