Metabolic interdependencies in thermophilic communities are revealed using co-occurrence and complementarity networks.

ABSTRACT: Microbial communities exhibit intricate interactions underpinned by metabolic dependencies. To elucidate these dependencies, we present a workflow utilizing random matrix theory on metagenome-assembled genomes to construct co-occurrence and metabolic complementarity networks. We apply this approach to a temperature gradient hot spring, unraveling the interplay between thermal stress and metabolic cooperation. Our analysis reveals an increase in the frequency of metabolic interactions with rising temperatures. Amino acids, coenzyme A derivatives, and carbohydrates emerge as key exchange metabolites, forming the foundation for syntrophic dependencies, in which commensalistic interactions take a greater proportion than mutualistic ones. These metabolic exchanges are most prevalent between phy

SUBMITTER: Peng X 

PROVIDER: S-EPMC11408653 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature