SteadyCom: Predicting microbial abundances while ensuring community stability.

ABSTRACT: Genome-scale metabolic modeling has become widespread for analyzing microbial metabolism. Extending this established paradigm to more complex microbial communities is emerging as a promising way to unravel the interactions and biochemical repertoire of these omnipresent systems. While several modeling techniques have been developed for microbial communities, little emphasis has been placed on the need to impose a time-averaged constant growth rate across all members for a community to ensure co-existence and stability. In the absence of this constraint, the faster growing organism will ultimately displace all other microbes in the community. This is particularly important for predicting steady-state microbiota composition as it imposes significant restrictions on the allowable community me

SUBMITTER: Chan SHJ 

PROVIDER: S-EPMC5448816 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature