Assumptions on decision making and environment can yield multiple steady states in microbial community models.

ABSTRACT:

Background

Microbial community simulations using genome scale metabolic networks (GSMs) are relevant for many application areas, such as the analysis of the human microbiome. Such simulations rely on assumptions about the culturing environment, affecting if the culture may reach a metabolically stationary state with constant microbial concentrations. They also require assumptions on decision making by the microbes: metabolic strategies can be in the interest of individual community members or of the whole community. However, the impact of such common assumptions on community simulation results has not been investigated systematically.

Results

Here, we investigate four combinations of assumptions, elucidate how they are applied in literature, provide novel mathematical formul

SUBMITTER: Theorell A 

PROVIDER: S-EPMC10288676 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature