Machine Learning Predicts Biogeochemistry from Microbial Community Structure in a Complex Model System.

ABSTRACT: Microbial community structure is influenced by the environment and in turn exerts control on many environmental parameters. We applied this concept in a bioreactor study to test whether microbial community structure contains information sufficient to predict the concentration of H₂S as the product of sulfate reduction. Microbial sulfate reduction is a major source of H₂S in many industrial and environmental systems and is often influenced by the existing physicochemical conditions. Production of H₂S in industrial systems leads to occupational hazards and adversely affects the quality of products. A long-term (148 days) experiment was conducted in upflow bioreactors to mimic sulfidogenesis, followed by inhibition with nitrate salts and a resumption of H

SUBMITTER: Dutta A 

PROVIDER: S-EPMC8826735 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature