Predicting partner fitness based on spatial structuring in a light-driven microbial community.

ABSTRACT: Microbial communities have vital roles in systems essential to human health and agriculture, such as gut and soil microbiomes, and there is growing interest in engineering designer consortia for applications in biotechnology (e.g., personalized probiotics, bioproduction of high-value products, biosensing). The capacity to monitor and model metabolite exchange in dynamic microbial consortia can provide foundational information important to understand the community level behaviors that emerge, a requirement for building novel consortia. Where experimental approaches for monitoring metabolic exchange are technologically challenging, computational tools can enable greater access to the fate of both chemicals and microbes within a consortium. In this study, we developed an in-silico model of a

SUBMITTER: Sakkos JK 

PROVIDER: S-EPMC10184905 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature