Background: Global per capita meat consumption continues to rise, especially pork. Meat quality is influenced by the content of intramuscular fat (IMF) as a key factor. The longissimus dorsi muscle of Dahe pigs (DHM, IMF: 7.98% ± 1.96%) and Dahe black pigs (DHBM, IMF: 3.30% ± 0.64%) was studied to explore cellular heterogeneity and differentially expressed genes (DEGs) associated with IMF deposition using single-nucleus RNA sequencing (snRNA-seq). The lipid composition was then analyzed using non-targeted lipidomics. Results: A total of seven cell subpopulations were identified, including myocytes, fibroblast/fibro/adipogenic progenitors (FAPs), satellite cells, endothelial cells, macrophages, pericytes, and adipocytes. Among them, FAPs and adipocytes were more focused because they could be associated with lipid deposition. 1623 DEGs in the FAPs subpopulation of DHBM were up-regulated compared with DHM, while 1535 were down-regulated. These DEGs enriched in the glycolysis/gluconeogenesis pathway. 109 DEGs were up-regulated and 806 were down-regulated in the adipocyte subpopulation of DHBM compared with DHM, which were mainly enriched in the PPAR signaling pathway and fatty acid (FA) biosynthesis. The expression level of PPARG, ABP4, LEP, and ACSL1 genes in DHM was higher than that in DHBM. Lipidomics reveals porcine lipid composition characteristics of muscle tissue. A total of 41 lipid classes and 2699 lipid species were identified in DHM and DHBM groups. The top ten relative peak areas of lipid classes in DHM and DHBM were triglyceride (TG), phosphatidylcholine (PC), phosphatidylethanolamine (PE), phosphatidylserine (PS), diglyceride (DG), cardiolipin (CL), ceramides (Cer), Simple Glc series (Hex1Cer), sphingomyelin (phSM), and phosphatidylinositol (PI). The relative peak areas of 35 lipid species in DHM were lower than DHBM, and 28 lipid species that were higher. There was a significant increase in the TG fatty acyl chains C6:0, C17:0, and C11:4, and a significant decrease in C16:0, C18:1, C18:2, and C22:4 in DHBM (p < 0.05). Conclusions: C16:0 FA may downregulate the expression level of PPARG gene, which leads to the downregulation of fat metabolism-related genes such as ACSL, PLIN2, and FABP4 in DHBM compared with DHM. This may be the reason that the lipid deposition ability of Dahe pigs is stronger than that of Dahe black pigs, which need further investigation.

A high-fat diet leads to metabolic disturbances, which are important factors in the development of obesity. Gut microbial composition and diversity are altered by a high-fat diet. In general, a high-fat diet resulted in increased Firmicutes abundance and decreased alpha diversity. Bile acids (BAs) are involved in the digestion and absorption of fats in the small intestine and are also the metabolic substrates of microorganisms with bile salt hydrolase (BSH) activity. High-fat diets (HFDs) have been shown to alter gut microbiota composition and BA profiles in murine models. Similarly, probiotic supplementation reverses HFD-induced adverse effects. This review focuses on the energy composition characteristics of a high-fat diet and its effects on body weight, plasma lipid-related biochemical markers, changes in gut microbiome characteristics, and the important role of BAs. The regular mechanism by which a high-fat diet affects the intestinal microenvironment was attempted to be found.

Diet may affect gut microbial composition and diversity. There were 3 dietary groups: 0% citrus pulp diet (C), 1.5% citrus pulp diet (I), and 2.5% citrus pulp diet (II). A total of 180 healthy AA broilers (21-day old) were divided into 3 groups (C, I, and II), each group was set up with 6 replicates, and each replicate including 10 broilers (half male and female). At 42 d, the cecal contents of 18 broiler chickens were collected after slaughter. The cecal contents were analyzed using 16S rRNA sequencing technology. Compared with group C, the abundance of Firmicutes in groups I and II decreased, while the relative abundances of Bacteroidetes, Verrucomicrobia, Lactobacillus, and Faecalibacterium increased. LEfSe analysis showed that Actinobacteria, Coriobacteriia, Coriobacteriales, and Ruminococcaceae_bacterium_Marseille_P2935 in group I were significantly higher than those in group C. Bacteria, Coriobacteriales, Coriobacteriia, Coriobacteriaceae, Slackia, Bacteroides_sp_Marseille_P3132, and Lactobacillus_pontis in group II were significantly higher than those in group C. The Staphylococcaceae, Bacteroides_sp_Marseille_P3132, Macroccus, Lactobacillus_pontis, and Streptococcus_equinus in group II were significantly higher than those in group I. Functional predictions indicated that the cecal microbiota of broilers fed the 2.5% citrus pulp diet was more tend to utilize carbohydrates through glycolytic/gluconeogenesis metabolism. Adding citrus pulp to the diet affects the microbial composition and has important implications for studying gut health and improving economic benefits.

Growth performance and meat quality are important traits for pig production. The aim of the present study was to investigate the molecular mechanisms underlying growth performance and meat quality, and to identify novel target molecules for predicting the growth performance and meat quality. The differentially expressed genes (DEGs) in Diannan small ears pigs (DSP) and Landrace pigs (LP) were assessed by RNA-sequencing analyzing technology. A total of 339 DEGs were obtained between DSP and LP. 146 DEGs were upregulated in LP compared with DSP and 193 DEGs were upregulated in DSP compared with LP. The DEGs were significantly enriched in 26 GO and 3 KEGG pathways. The protein–protein interaction (PPI) network with 201 nodes and 382 edges was constructed and 5 modules were extracted from the entire network. The identified upregulated expression of genes involved in glycolysis and myogenesis as well as extracellular matrix may be associated with fast body and muscle deposition rates in LP. Increased expression of genes involved in PPAR signaling pathway and fatty acid metabolism as well as oxidative phosphate processes could be related to the intramuscular fat deposition and meat quality in DSP. The present study may provide an improved understanding of the growth performance and meat quality.

Introduction: Pig growth is an important economic trait that involves the co-regulation of multiple genes and related signaling pathways. High-throughput sequencing has become a powerful technology for establishing the transcriptome profiles and can be used to screen genome-wide differentially expressed genes (DEGs). In order to elucidate the molecular mechanism underlying muscle growth, this study adopted RNA sequencing (RNA-seq) to identify and compare DEGs at the genetic level in the longissimus dorsi muscle (LDM) between two indigenous Chinese pig breeds (Diannan small ears [DSE] pig and Wujin pig [WJ]) and one introduced pig breed (Landrace pig [LP]).Methods: Animals under study were from two Chinese indigenous pig breeds (DSE pig, n = 3; WJ pig, n = 3) and one introduced pig breed (LP, n = 3) were used for RNA sequencing (RNA-seq) to identify and compare the expression levels of DEGs in the LDM. Then, functional annotation, Gene Ontology (GO) enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and Protein–Protein Interaction (PPI) network analysis were performed on these DEGs. Then, functional annotation, Gene Ontology (GO) enrichment analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, and Protein-Protein Interaction (PPI) network analysis were performed on these DEGs.Results: The results revealed that for the DSE, WJ, and LP libraries, more than 66, 65, and 71 million clean reads were generated by transcriptome sequencing, respectively. A total of 11,213 genes were identified in the LDM tissue of these pig breeds, of which 7,127 were co-expressed in the muscle tissue of the three samples. In total, 441 and 339 DEGs were identified between DSE vs. WJ and LP vs. DSE in the study, with 254, 193 up-regulated genes and 187, 193 down-regulated genes in DSE compared to WJ and LP. GO analysis and KEGG signaling pathway analysis showed that DEGs are significantly related to contractile fiber, sarcolemma, and dystrophin-associated glycoprotein complex, myofibril, sarcolemma, and myosin II complex, Glycolysis/Gluconeogenesis, Propanoate metabolism, and Pyruvate metabolism, etc. In combination with functional annotation of DEGs, key genes such as ENO3 and JUN were identified by PPI network analysis.Discussion: In conclusion, the present study revealed key genes including DES, FLNC, PSMD1, PSMD6, PSME4, PSMB4, RPL11, RPL13A, ROS23, RPS29, MYH1, MYL9, MYL12B, TPM1, TPM4, ENO3, PGK1, PKM2, GPI, and the unannotated new gene ENSSSCG00000020769 and related signaling pathways that influence the difference in muscle growth and could provide a theoretical basis for improving pig muscle growth traits in the future.