The interaction between myocytes and intramuscular adipocytes is a hot scientific topic. Using a co-culture system, this study aims to investigate the regulation of intramuscular fat deposition in chicken muscle tissue through the interaction between myocyte and adipocyte and identify important intermediary regulatory factors. Our proteomics data showed that the protein expression of tissue inhibitor of metalloproteinases 2 (TIMP2) increased significantly in the culture medium of the co-culture system, and the content of lipid droplets was more in the co-culture intramuscular adipocytes. In addition, TIMP2 was significantly upregulated (P<0.01) in muscle tissue of individuals with high intramuscular fat content. Weighted gene co-expression network analysis revealed that TIMP2 was mainly involved in the extracellular matrix receptor interaction signaling pathway and its expression was significantly correlated with triglyceride, intramuscular fat, C14:0, C14:1, C16:0, C16:1, and C18:1n9C levels. Additionally, TIMP2 was co-expressed with various representative genes related to lipid metabolism (such as ADIPOQ, SCD, ELOVL5, ELOVL7, and LPL), as well as certain genes involved in extracellular matrix receptor interaction (such as COL1A2, COL4A2, COL5A1, COL6A1, and COL6A3), which are also significantly upregulated (P<0.05 or P<0.01) in muscle tissue of individuals with high intramuscular fat content. Our findings reveal that TIMP2 promotes intramuscular fat deposition in muscle tissue through the extracellular matrix receptor interaction signaling pathway.
Omega-3 (linolenic acid (ALA), docosapentaenoic acid, eicosapentaenoic acid) and omega-6 (linoleic acid (LA), arachidonic acid) polyunsaturated fatty acids are essential for health and normal physiological functioning in humans. Here we report a genome-wide association study (GWAS) on LA content in chicken meat. The 19 significant single nucleotide polymorphisms (SNPs) identified by the GWAS approach were annotated in VILL, PLCD1 and OXSR1 genes with highly polymorphic linkage blocks, and explained 4.5% of the phenotypic variation in the LA content. Specifically, the PLCD1 mRNA expression level was negatively correlated with the LA content, and significantly higher in chickens with low LA content than in those with high LA content. In addition, PLCD1 was found to be involved in metabolic pathways, etc. Furthermore, the LA content was correlated with volatile organic compounds (e.g., octanal, etc.), but no relationship was found with intramuscular fat and triglycerides in chicken meat. The results indicated that there are key SNPs in PLCD1 that regulate the content of LA, and it has no significant effect on fat deposition, but may affect the content of volatile organic compounds (VOCs).
Salmonella is one of the most common food-borne pathogens and its resistance in chicken can be improved through genetic selection. The heterophils/lymphocytes (H/L) ratio in the blood reflects the immune system status of chicken. We compared the genome data and spleen transcriptomes between the H/L ratio-selected and non-selected chickens, after Salmonella infection, aiming to identify the key genes participating in the antibacterial activity in the spleen. The results revealed that, the selected population had stronger (P<0.05) liver resistance to Salmonella typhimurium (ST) than the non-selected population. In the selected and non-selected lines, the identified differentiation genes encode proteins involved in biological processes or metabolic pathways that included the TGF-beta signaling pathway, FoxO signaling pathway, and Salmonella infection pathway. The results of the analysis of all identified differentially expressed genes (DEGs) of spleen revealed that the G protein-coupled receptor (GPCR) and insulin-like growth factor (IGF-I) signaling pathways were involved in the Salmonella infection pathway. Integrated analysis of DEGs and FST (fixation index), identified candidate genes involved in Salmonella infection pathway, such as GPR39, NTRK2, and ANXA1. The extensive genomic changes highlight the polygenic genetic of the immune response in these chicken populations. Numerous genes related to the immune performance are differentially expressed in the selected and non-selected lines and the selected lines has a higher resistance to Salmonella.