Modelling microbiome recovery after antibiotics using a stability landscape framework.

ABSTRACT: Treatment with antibiotics is one of the most extreme perturbations to the human microbiome. Even standard courses of antibiotics dramatically reduce the microbiome's diversity and can cause transitions to dysbiotic states. Conceptually, this is often described as a 'stability landscape': the microbiome sits in a landscape with multiple stable equilibria, and sufficiently strong perturbations can shift the microbiome from its normal equilibrium to another state. However, this picture is only qualitative and has not been incorporated in previous mathematical models of the effects of antibiotics. Here, we outline a simple quantitative model based on the stability landscape concept and demonstrate its success on real data. Our analytical impulse-response model has minimal assumptions with thr

SUBMITTER: Shaw LP 

PROVIDER: S-EPMC6591120 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature