2025/01/01 by Jemma M. Fadum, Xin Sun, Emily J. Zakem · 1 voice · 1 citation
Environmental Science · Earth and Planetary Sciences · #Wastewater Treatment and Nitrogen Removal #Microbial Community Ecology and Physiology #Marine and coastal ecosystems
paper · pdf · doi:10.1093/ismeco/ycaf219
openalex publication_date 2025/01/01 · openalex created_date 2025/11/27 · openalex updated_date 2026/08/01
Microorganisms drive biogeochemical cycling. Therefore, examining environmental change through the lens of microbial ecology is particularly useful for developing a mechanistic understanding of the biogeochemical consequences and feedbacks of perturbations to ecosystems. When aquatic systems with deep anoxic waters undergo eutrophication, the resulting surface productivity impacts the anaerobic microbial community below. The increase in sinking organic carbon can shift the anaerobic community function from inorganic nitrogen (N) loss to N retention, amplifying eutrophication as a positive feedback. However, we lack a mechanistic understanding of this transition, which is critical for anticipating these impacts in aquatic environments where microbial community composition is unknown. Here, we provide a first-principles, quantitative model of this transition from N loss to retention by linking ecological dynamics to the energetics underlying microbial metabolisms. We develop and analyze an ecosystem model in which redox chemistry constrains the traits of key anaerobic N-cycling microbial functional types: denitrification, dissimilatory nitrate reduction to ammonium, and anaerobic ammonium oxidation (anammox). The model captures the transition from N loss to N retention with increasing organic carbon supply, consistent with observations for specific systems and species. Results identify characteristics of the microbial community composition at the "net zero N loss" point at which N loss balances N retention, providing testable hypotheses for sequencing data and other observations. By tying microbial ecological dynamics to environmental chemical potential, results provide a broadly applicable framework for better predicting the biogeochemical impacts of eutrophication, deoxygenation, and other perturbations.