Bacterial bioindicators enable biological status classification along the continental Danube river.

ABSTRACT: Despite the importance of bacteria in aquatic ecosystems and their predictable diversity patterns across space and time, biomonitoring tools for status assessment relying on these organisms are widely lacking. This is partly due to insufficient data and models to identify reliable microbial predictors. Here, we show metabarcoding in combination with multivariate statistics and machine learning allows to identify bacterial bioindicators for existing biological status classification systems. Bacterial beta-diversity dynamics follow environmental gradients and the observed associations highlight potential bioindicators for ecological outcomes. Spatio-temporal links spanning the microbial communities along the river allow accurate prediction of downstream biological status from upstream inform

SUBMITTER: Fontaine L 

PROVIDER: S-EPMC10439154 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature