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Transcriptome profile of skeletal muscle using different sources of dietary fatty acids in male pigs.

Authors :
Fanalli, Simara Larissa
da Silva, Bruna Pereira Martins
Gomes, Julia Dezen
de Almeida, Vivian Vezzoni
Moreira, Gabriel Costa Monteiro
Silva-Vignato, Bárbara
Afonso, Juliana
Freitas, Felipe André Oliveira
Reecy, James Mark
Koltes, James Eugene
Koltes, Dawn
Garrick, Dorian
de Almeida Regitano, Luciana Correia
de Carvalho Balieiro, Júlio César
Mourão, Gerson Barreto
Coutinho, Luiz Lehmann
Fukumasu, Heidge
Poleti, Mirele Daiana
de Alencar, Severino Matias
Luchiari Filho, Albino
Source :
Functional & Integrative Genomics; Mar2023, Vol. 23 Issue 1, p1-19, 19p
Publication Year :
2023

Abstract

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1438793X
Volume :
23
Issue :
1
Database :
Complementary Index
Journal :
Functional & Integrative Genomics
Publication Type :
Academic Journal
Accession number :
162248402
Full Text :
https://doi.org/10.1007/s10142-023-00997-2