Utilization of 16S rRNA data in constraint-based modeling to characterize microbial communities confronts a major hurdle of lack of species-level resolution, impeding the construction of community models. We introduce "," an innovative framework designed to model communities under this uncertainty and yet perform metabolic inferences using pan-genus metabolic models (PGMMs). We demonstrated PGMMs' utility for comprehending the metabolic capabilities of a genus and in characterizing community models using amplicon data.
View Article and Find Full Text PDFMicroorganisms exist in large communities of diverse species, exhibiting various functionalities. The mammalian gut microbiome, for instance, has the functionality of digesting dietary fibre and producing different short-chain fatty acids. Not all microbes present in a community contribute to a given functionality; it is possible to find a minimal microbiome, which is a subset of the large microbiome, that is capable of performing the functionality while maintaining other community properties such as growth rate and metabolite production.
View Article and Find Full Text PDFMicroorganisms are ubiquitous in nature and form complex community networks to survive in various environments. This community structure depends on numerous factors like nutrient availability, abiotic factors like temperature and pH as well as microbial composition. Categorising accessible biomes according to their habitats would help in understanding the complexity of the environment-specific communities.
View Article and Find Full Text PDFAngiotensinogen (AGT), a glycosylated plasma noninhibitory serpin, serves as a precursor for angiotensin peptides which regulate blood pressure and electrolyte balance. AGT is specifically cleaved by renin to produce angiotensin-I, the first product of the angiotensin-processing cascade. Ovine angiotensinogen (oAGT) is considered an effective substrate for human renin and consequently finds application in clinical renin assays.
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