Pig gut metagenome
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA515799 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Differences in the Ileal and colonic microbiota between low- and normal-birth-weight piglets
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Project description:gene expression in ileum of low birth weight piglets was compared to the one in high birth weight piglets at 16 days of age.
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Project description:Intestinal microbiota colonization is important for intestinal development and health of preterm infants, especially those with extremely low birth weight. Recent studies indicated for a dynamic crosstalk between that gut microbiota and DNA methylome of host intestinal cells. Thereby, we sought to determine the epigenomic and metagenomic consequences of suppression of microbiota colonization in the intestine of preterm neonates to gain insights into biological pathways that shape the interface between the gut microbiota and the preterm intestinal cells. We examined 14 preterm piglets by comparing the conventional preterm neonates with those ones treated with oral antibiotics for genome wide DNA methylation and 16S rDNA microbiome. Our results demonstrated an extensive genome-wide DNA methylation changes in response to the suppression of intestinal microbe colonization, especially genes involved in neonatal immune response signaling and glycol-metabolism pathways were identified. Our study highlights several key genes that might predispose preterm neonates to NEC risk due to their key roles involved in the immune-metabolic networks. Our study not only provided rich omic-data to interpret molecular program in relation with microbiota-associated methylome-proteome network changes, but also confer clinical usage of key gene markers for potential early diagnostics of NEC of preterm neonates.
2017-10-12 | GSE88697 | GEO
Project description:Gut microbiome research is rapidly moving towards the functional characterization of the microbiota by means of shotgun meta-omics. Here, we selected a cohort of healthy subjects from an indigenous and monitored Sardinian population to analyze their gut microbiota using both shotgun metagenomics and shotgun metaproteomics. We found a considerable divergence between genetic potential and functional activity of the human healthy gut microbiota, in spite of a quite comparable taxonomic structure revealed by the two approaches. Investigation of inter-individual variability of taxonomic features revealed Bacteroides and Akkermansia as remarkably conserved and variable in abundance within the population, respectively. Firmicutes-driven butyrogenesis (mainly due to Faecalibacterium spp.) was shown to be the functional activity with the higher expression rate and the lower inter-individual variability in the study cohort, highlighting the key importance of the biosynthesis of this microbial by-product for the gut homeostasis. The taxon-specific contribution to functional activities and metabolic tasks was also examined, giving insights into the peculiar role of several gut microbiota members in carbohydrate metabolism (including polysaccharide degradation, glycan transport, glycolysis and short-chain fatty acid production). In conclusion, our results provide useful indications regarding the main functions actively exerted by the gut microbiota members of a healthy human cohort, and support metaproteomics as a valuable approach to investigate the functional role of the gut microbiota in health and disease.
2017-07-19 | PXD005780 | Pride
Project description:The study investigated the impact of environment on the composition of the gut microbiota and mucosal immune development and function at gut surfaces in early and adult life. Piglets of similar genotype were reared in indoor and outdoor environments and in an experimental isolator facility. Mucosa-adherent microbial diversity in the pig ileum was characterized by sequence analysis of 16S rRNA gene libraries. Host-specific gene responses in gut ileal tissues to differences in microbial composition were investigated using Affymetrix microarray technology and Real-time PCR.
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