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ABSTRACT: Background
Microbial communities play a crucial role in ecosystem function through metabolic interactions. Genome-scale modeling is a promising method to understand these interactions and identify strategies to optimize the community. Flux balance analysis (FBA) is most often used to predict the flux through all reactions in a genome-scale model; however, the fluxes predicted by FBA depend on a user-defined cellular objective. Flux sampling is an alternative to FBA, as it provides the range of fluxes possible within a microbial community. Furthermore, flux sampling can capture additional heterogeneity across a population, especially when cells exhibit sub-maximal growth rates.Results
In this study, we simulate the metabolism of microbial communities and compare the metaboli
SUBMITTER: Gelbach PE
PROVIDER: S-EPMC10826046 | biostudies-literature | 2024 Jan
REPOSITORIES: biostudies-literature