Quantification of metabolic niche occupancy dynamics in a Baltic Sea bacterial community.

ABSTRACT: Progress in molecular methods has enabled the monitoring of bacterial populations in time. Nevertheless, understanding community dynamics and its links with ecosystem functioning remains challenging due to the tremendous diversity of microorganisms. Conceptual frameworks that make sense of time series of taxonomically rich bacterial communities, regarding their potential ecological function, are needed. A key concept for organizing ecological functions is the niche, the set of strategies that enable a population to persist and define its impacts on the surroundings. Here we present a framework based on manifold learning to organize genomic information into potentially occupied bacterial metabolic niches over time. Manifold learning tries to uncover low-dimensional data structures in high-d

SUBMITTER: Massing JC 

PROVIDER: S-EPMC10312292 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature