Redox-constrained microbial ecology dictates nitrogen loss versus retention
Jemma Fadum1, Xin Sun1,2, Emily Zakem1
1Division of Biosphere Sciences and Engineering, Carnegie Institution for Science, Stanford, CA 94305, United States.
ISME Communications
|December 15, 2025
Summary
Eutrophication shifts aquatic microbes from nitrogen loss to retention, amplifying the problem. Our model explains this transition, offering predictions for ecosystem management and microbial community analysis.
Area of Science:
- Microbial ecology
- Biogeochemical cycling
- Ecosystem modeling
Background:
- Microorganisms are key drivers of biogeochemical cycles.
- Eutrophication in aquatic systems with deep anoxic waters increases surface productivity, impacting anaerobic microbial communities.
- Increased sinking organic carbon can shift microbial function from nitrogen loss to retention, creating a positive feedback loop that amplifies eutrophication.
Purpose of the Study:
- To develop a quantitative, first-principles model of the transition from nitrogen loss to retention in anaerobic microbial communities.
- To link microbial ecological dynamics to the energetics of microbial metabolisms.
- To understand the impact of increasing organic carbon supply on nitrogen cycling.
Main Methods:
- Developed and analyzed an ecosystem model incorporating redox chemistry.
- Constrained traits of key anaerobic nitrogen-cycling microbial functional types: denitrification, dissimilatory nitrate reduction to ammonium, and anaerobic ammonium oxidation (anammox).
- Linked ecological dynamics to microbial metabolism energetics.
Main Results:
- The model successfully captures the transition from nitrogen loss to retention with increasing organic carbon supply.
- Identified characteristics of microbial community composition at the "net zero N loss" point.
- Provided testable hypotheses for sequencing data and other observations.
Conclusions:
- The model offers a mechanistic understanding of nitrogen cycling shifts due to eutrophication.
- Results provide a broadly applicable framework for predicting biogeochemical impacts of perturbations like eutrophication and deoxygenation.
- Tying microbial ecology to environmental chemical potential enhances predictive capabilities for aquatic ecosystems.
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