Vitamin interdependencies predicted by metagenomics-informed network analyses and validated in microbial community microcosms.

ABSTRACT: Metagenomic or metabarcoding data are often used to predict microbial interactions in complex communities, but these predictions are rarely explored experimentally. Here, we use an organism abundance correlation network to investigate factors that control community organization in mine tailings-derived laboratory microbial consortia grown under dozens of conditions. The network is overlaid with metagenomic information about functional capacities to generate testable hypotheses. We develop a metric to predict the importance of each node within its local network environments relative to correlated vitamin auxotrophs, and predict that a Variovorax species is a hub as an important source of thiamine. Quantification of thiamine during the growth of Variovorax in minimal media show high levels o

SUBMITTER: Hessler T 

PROVIDER: S-EPMC10409787 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature