Metabolite-mediated modelling of microbial community dynamics captures emergent behaviour more effectively than species-species modelling.

ABSTRACT: Personalized models of the gut microbiome are valuable for disease prevention and treatment. For this, one requires a mathematical model that predicts microbial community composition and the emergent behaviour of microbial communities. We seek a modelling strategy that can capture emergent behaviour when built from sets of universal individual interactions. Our investigation reveals that species-metabolite interaction (SMI) modelling is better able to capture emergent behaviour in community composition dynamics than direct species-species modelling. Using publicly available data, we examine the ability of species-species models and species-metabolite models to predict trio growth experiments from the outcomes of pair growth experiments. We compare quadratic species-species interaction mode

SUBMITTER: Brunner JD 

PROVIDER: S-EPMC6833326 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature