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Updated: Jul 25, 2025

Author Spotlight: Understanding Microbe Adaptation Using Innovative Techniques for Exploring Thermophilic Evolution
Published on: June 14, 2024
Functional convergence in slow-growing microbial communities arises from thermodynamic constraints
Ashish B George1,2, Tong Wang1,3,4, Sergei Maslov5,6,7
1Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Microbial community structure converges due to thermodynamic constraints on metabolism, even with varying species. This explains functional consistency in diverse environments.
Area of Science:
- Microbial Ecology
- Biophysics
- Systems Biology
Background:
- Microbial community dynamics are shaped by resource competition and byproduct exchange.
- Growth in anoxic environments is often slow due to thermodynamic equilibrium.
- Understanding community structure requires models that include energetic and thermodynamic constraints.
Purpose of the Study:
- To develop a microbial consumer-resource model incorporating energetic and thermodynamic constraints.
- To investigate how product inhibition affects microbial growth and community structure.
- To explain the observed convergence of microbial community function despite taxonomic variation.
Main Methods:
- Developed a microbial community consumer-resource model.
- Incorporated energetic and thermodynamic constraints into an interconnected metabolic network.
- Analyzed experimental data from anaerobic digesters.
Main Results:
- Product inhibition, alongside substrate depletion, constrains microbial growth.
- Community metabolic network structure and function converge, independent of species composition.
- The thermodynamic principle of maximum free energy dissipation governs community metabolic network structure.
- Functional convergence decreases in faster-growing communities.
Conclusions:
- Universal thermodynamic principles constrain microbial community metabolism.
- These principles explain functional convergence in microbial communities across diverse environments.
- The model provides insights into microbial community assembly and function in energy-limited ecosystems.
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