Project description:4960 Metagenome-assembled genomes in digestive tract of Buffalo Microbial ecology along the buffalo digestive tract provides insights to its functions and interactions with the host Split metagenomic data by Bins in https://figshare.com/articles/dataset/Buffalo_digestive_tract_metagenome_MAGs/17000302
| PRJEB48898 | ENA
Project description:4960 Metagenome-assembled genomes in digestive tract of Buffalo Microbial ecology along the buffalo digestive tract provides insights to its functions and interactions with the host Split metagenomic data by Bins in https://figshare.com/articles/dataset/Buffalo_digestive_tract_metagenome_MAGs/17000302
Project description:In this study, liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) was applied to define the occurrence, diversity and origin of glycosyl-hydrolases along the digestive tract of P. canaliculata. Cellulases, hemicellulases, amylases, maltases, fucosidases and galactosidases were identified across the digestive tract. The digestive gland and the contents of the crop and style sac yield a higher diversity of glycosidase-derived peptides.
Project description:Host-microbiome-dietary interactions play crucial roles in regulating human health, yet direct functional assessment of their interplays, cross-regulations and downstream disease impacts remains challenging. We adopted metagenome-informed metaproteomics (MIM), in both mice and humans, to simultaneously explore host, dietary, and species-level microbiome interactions across diverse scenarios, including commensal and pathogen colonization, nutritional modifications, and antibiotic-induced perturbations. Implementation of MIM in murine auto-inflammation and in human IBD characterized a ‘compositional dysbiosis’ and a concomitant, species-specific ‘functional dysbiosis’ driven by suppressed commensal responses to inflammatory host signals. Microbiome transfers unraveled early-onset kinetics of these host-commensal cross-responsive patterns, while predictive analyses identified candidate fecal host-microbiome IBD biomarker protein pairs outperforming S100A8/S100A9 (calprotectin). Importantly, a simultaneous fecal nutrient assessment enabled determination of IBD-related consumption patterns, dietary treatment compliance and small-intestinal digestive aberrations. Collectively, a parallelized dietary-bacterial-host MIM assessment functionally uncovers trans-kingdom interactomes shaping gastrointestinal ecology, while offering personalized diagnostic and therapeutic insights into microbiome-associated disease.
Project description:Mammalian feces can be collected non-invasively during field research and provides valuable information on the ecology and evolution of the host individuals. Undigested food objects, genome/metagenome, steroid hormones, and stable isotopes obtained from fecal samples provide evidence on diet, host/symbiont genetics, and physiological status of the individuals. However, proteins in mammalian feces have hardly been studied, which hampers the molecular investigations into the behavior and physiology of the host individuals. Here, we apply mass spectrometry-based proteomics to fecal samples (n = 10) that were collected from infant, juvenile, and adult captive Japanese macaques (Macaca fuscata) to describe the proteomes of the host, food, and intestinal microbes. The results show that fecal proteomics is a useful method to investigate dietary changes along with breastfeeding and weaning, to reveal the organ/tissue and taxonomy of dietary items, and to estimate physiological status inside intestinal tracts. These types of insights are difficult or impossible to obtain through other molecular approaches. Most mammalian species are facing extinction risk and there is an urgent need to obtain knowledge on their ecology and evolution for better conservation strategy. The fecal proteomics framework we present here is easily applicable to wild settings and other mammalian species, and provides direct evidence of their behavior and physiology.
Project description:Symbiotic bacteria inhabiting the distal human gut have evolved under intense pressure to utilize complex carbohydrates, predominantly plant cell wall glycans abundant in our diets. These substrates are recalcitrant to depolymerization by digestive enzymes encoded in the human genome, but are efficiently targeted by some of the ~103-104 bacterial species that inhabit this niche. These species augment our comparatively narrow carbohydrate digestive capacity by unlocking otherwise unusable sugars and fermenting them into host-absorbable forms, such as short-chain fatty acids. We used phenotype profiling, whole-genome transcriptional analysis and molecular genetic approaches to investigate complex glycan utilization by two fully sequenced and closely related human gut symbionts: Bacteroides thetaiotaomicron and Bacteroides ovatus. Together these species target all of the common glycosidic linkages found in the plant cell wall, as well as host polysaccharides, but each species exhibits a unique ‘glycan niche’: in vitro B. thetaiotaomicron targets plant cell wall pectins in addition to linkages contained in host N- and O-glycans; B. ovatus uniquely targets hemicellulosic polysaccharides along with several pectins, but is deficient in host glycan utilization. Bacteroides ovatus bacteria were grown either in vitro on defined complex glycan sources, or in vivo in the intestinal tract of gnotobiotic mice fed variable diets. Increased in vitro gene expression was used to indicate the genes required for metabolism of complex glycans and compared to in vivo transcriptional activity to determine expression in the mouse gut.
Project description:In vertebrates the endoderm which gives rise to the epithelial lining of the digestive tract becomes regionalized along its antero-posterior axis after gastrulation. The molecular basis of the initial step of this regionalization has largely remained unclear. Using chick model, we generated high-quality transcriptomic datasets of different stages/regions of the endoderm and analyzed their molecular heterogeneity.