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:The human gut microbiota is crucial for degrading dietary fibres from the diet. However, some of these bacteria can also degrade host glycans, such as mucins, the main component of the protective gut mucus layer. Specific microbiota species and mucin degradation patterns are associated with inflammatory processes in the colon. Yet, it remains unclear how the utilization of mucin glycans affects the degradation of dietary fibres by the human microbiota. Here, we used three dietary fibres (apple pectin, β-glucan and xylan) to study in vitro the dynamics of colon mucin and dietary fibre degradation by the human faecal microbiota. The dietary fibres showed clearly distinguishing modulatory effects on faecal microbiota composition. The utilization of colon mucin in cultures led to alterations in microbiota composition and metabolites. Metaproteome analysis showed the central role of the Bacteroides in degradation of complex fibres while Akkermansia muciniphila was the main degrader of colonic mucin. This work demonstrates the intricacy of complex glycan metabolism by the gut microbiota and how the utilization of host glycans leads to alterations in the metabolism of dietary fibres. Metaproteomics analysis of this data reveals the functional activities of the bacteria in consortia, by this contributing to a better understanding of the complex metabolic pathways within the human microbiota that can be manipulated to maximise beneficial microbiota-host interactions. In this study two different mucin samples were used: commercial porcine gastric mucin and in house prepared porcine colonic mucin. This dataset analyses the proteome of: A) autoclaved porcine colonic mucin; B) not autoclaved porcine colonic mucin; C) porcine gastric mucin.
Project description:Iron is an essential metal for both animals and microbiota, and neonates and infants of humans and animals, in general, are at the risk of iron insufficient. However, excess dietary iron usually causes negative impacts on the host and microbiota. This study aimed to investigate over-loaded dietary iron supplementation on growth performance, the distribution pattern of iron in the gut lumen and the host, intestinal microbiota, and intestine gene expression profile of piglets. Sixty healthy weaning piglets were randomly assigned to six groups: fed with diets supplemented with ferrous sulfate monohydrate at the dose of 50ppm (Fe50 group), 100ppm (Fe100 group), 200ppm (Fe200 group), 500ppm (Fe500 group), and 800ppm (Fe800) for three weeks. The results indicated that increasing iron had no effects on growth performance but increased diarrheal risk and iron deposition in intestinal digesta, tissues of intestine and liver, and serum. High iron also reduced serum iron-binding capacity, apolipoprotein, and immunoglobin A. The RNA-sequencing analysis revealed that iron changed colonic gene expression profile, such as interferon gamma-signal transducer and activator of transcription 2 based anti-virus and bacteria gene network. Increasing iron also shifted cecal and colonic microbiota, such as reducing alpha diversity, Clostridiales and Lactobacillus reuteri, and increasing Lactobacillus and Lactobacillus amylovorus. Collectively, this study demonstrated that high dietary iron increased diarrheal incidence, changed intestinal immune response-associated gene expression, and shifts gut microbiota. The results would enhance our knowledge of iron effects on the gut and microbiome in piglets, and further contribute to understanding these aspects in humans.
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