Project description:To investigate the impact of gut microbiota deleting and colonizing on hypothalamic health and function, the tissue samples from the germ-free (GF) pigs and the GF pigs colonized gut microbiota (CG) are used to perform whole RNA-seq for gene expression analysis We then performed long RNAs and small RNAs expression profiling analysis using data obtained from the RNA-seq of 3 different hypothalamus samples from the two groups of pigs
Project description:An early settlement of a complex gut microbiota can protect against gastro-intestinal dysbiosis, but the effects of neonatal microbiota colonization on the maturation of the porcine gastric mucosa are largely unknown. The transcriptome of the oxyntic mucosa of 12 caesarian-derived pigs previously associated with microbiota of different complexity was studied. Pigs received sow blood serum at birth (d0), 2 mL of starter microbiota (10^7 CFU of each Lactob. Amylovorus (LAM), Clostr. glycolicum, and Parabacteroides spp.) on d1-d3 of age and either a placebo inoculant (simple association, SA) or an inoculant consisting of diluted feces of an adult sow (complex association, CA) on d3-d4 of age. Then pigs were fed a moist diet . Gastric samples were obtained at on euthanised pigs at 2 weeks of age.
Project description:Improper use of antibiotics in swine could reduce commensal bacteria and possibly increase pathogen infections via the gut resistome. This study aimed to compare the metaproteomic profiles of gut resistome and related metabolism in the cecal microbiota of fattening pigs raised under antibiotic-free (ABF) conditions with those of ordinary industrial pigs (CTRL).
Project description:The gut microbiota is closely associated with digestion, metabolism, immunity, and host health. The imbalance of the microbial community in livestock directly affects their well-being and, consequently, productivity. The composition and diversity of the gut microbiota are influenced not only by host genetics but also by environmental factors such as the microbial complexity of the rearing environment, feeds, and antibiotics. Here, we focus on the comparison of gut microbial communities in miniature pigs developed for xenotransplantation in specific pathogen-free (SPF) and conventional (non-SPF) facilities. To identify the disparities in gut microbial composition and functionality between these two environments, 16S RNA metagenome sequencing was conducted using fecal samples. The results revealed that the non-SPF pigs had higher gut microbiota diversity than the SPF pigs. The genera Streptococcus and Ruminococcus were more abundant in SPF pigs than in non-SPF pigs. Blautia, Bacteroides, and Roseburia were exclusively observed in SPF pigs, whereas Prevotella was exclusively found in non-SPF pigs. Carbohydrate and nucleotide metabolism, as well as environmental information processing, were predicted to be enriched in SPF pigs. In addition, energy and lipid metabolism, along with processes related to genetic information, cellular communication, and diseases, were predicted to be enriched in non-SPF pigs. This study makes an important contribution to elucidating the impact of environments harboring a variety of microorganisms, including pathogens, on the gut microbiota of miniature pigs. Furthermore, we sought to provide foundational data on the characteristics of the gut microbiota in genetically modified pigs, which serve as source animals for xenotransplantation.
Project description:An early settlement of a complex gut microbiota can protect against gastro-intestinal dysbiosis, but the effects of neonatal microbiota colonization on the gut barrier upon the further encounter of favorable bacteria or not, are largely unknown. The jejunal transcriptome of differently perfused intestinal loops of 12 caesarian-derived pigs previously associated with microbiota of different complexity was studied. Pigs received pasteurized sow colostrum at birth (d0), 2 mL of starter microbiota (10^7 CFU of each Lactob. Amylovorus (LAM), Clostr. glycolicum, and Parabacteroides spp.) on d1-d3 of age and either a placebo inoculant (simple association, SA) or an inoculant consisting of diluted feces of an adult sow (complex association, CA) on d3-d4 of age. On days 26-37 of age, jejunal loops were perfused for 8 h with either enterotoxigenic E. coli F4 (ETEC), F4 fimbriae (F4), LAM or saline (CTRL) and jejunal samples were obtained from each piglet immediately afterwards.
2016-02-11 | GSE77787 | GEO
Project description:Effects of different temperatures on antioxidant, meat quality and intestinal flora of Fatting Tibetan pigs
Project description:An early settlement of a complex gut microbiota can protect against gastro-intestinal dysbiosis, but the effects of neonatal microbiota colonization and early life feeding of medium chain triglycerides on the maturation of the porcine gastric mucosa are largely unknown. The transcriptome of the oxyntic mucosa of 24 caesarian-derived pigs previously associated with microbiota of different complexity and fed a diet fortified or not with medium chain fatty acids was studied. Pigs received pasteurized sow colostrum at birth (d0), 2 mL of starter microbiota (10^7 CFU of each Lactob. Amylovorus (LAM), Clostr. glycolicum, and Parabacteroides spp.) on d1-d3 of age and either a placebo inoculant (simple association, SA) or an inoculant consisting of diluted feces of an adult sow (complex association, CA) on d3-d4 of age. Then half of pigs was fed a moist diet (CON) or, for the remaining half, CTRL fortified in medium chain triglycerides with 7% coconut oil ( MCT). Gastric samples were obtained at on euthanised pigs at 3 weeks of age.
Project description:In the presented study, in order to unravel gut microbial community multiplicity and the influence of maternal milk nutrients (i.e., IgA) on gut mucosal microbiota onset and shaping, a mouse GM (MGM) was used as newborn study model to discuss genetic background and feeding modulation on gut microbiota in term of symbiosis, dysbiosis and rebiosis maintenance during early gut microbiota onset and programming after birth. Particularly, a bottom-up shotgun metaproteomic approach, combined with a computational pipeline, has been compred with a culturomics analysis of mouse gut microbiota, obtained by MALDI-TOF mass spectrometry (MS).