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Nonequilibrium microbial dynamics unveil a new macroecological pattern beyond Taylor's law
José Camacho-Mateu1,2, Aniello Lampo1,2, Saúl Ares1,3
1(GISC), 28911 Leganés, Spain.
Microbial communities operate out of equilibrium, challenging assumptions of balanced forces. Our analysis reveals a new macroecological pattern beyond Taylor's law, suggesting resource partitioning drives microbial dynamics.
Area of Science:
- Microbial Ecology
- Theoretical Ecology
- Statistical Physics
Background:
- Microbial dynamics are influenced by both biotic (species interactions) and abiotic (environmental) factors.
- Observed correlations in natural microbiomes suggest they operate out of thermodynamic equilibrium.
- Taylor's law describes a relationship between species abundance and variance but may be an incomplete approximation.
Purpose of the Study:
- To develop a theoretical framework for analyzing microbial community dynamics under non-equilibrium conditions.
- To investigate the underlying mechanisms generating macroecological patterns, including Taylor's law.
- To identify novel patterns in microbial community structure using existing metagenomic data.
Main Methods:
- Utilized Fokker-Planck formalism to model microbial population dynamics.
- Developed an approximate analytical solution for non-equilibrium dynamics.
- Analyzed existing metagenomic datasets to identify macroecological patterns.
Main Results:
- Demonstrated that equilibrium conditions lead to uncorrelated species abundances, contrasting with real microbiomes.
- The proposed non-equilibrium solution is consistent with Taylor's law but predicts additional, unobserved structure.
- Revealed a novel, universal macroecological pattern in metagenomic data, extending beyond Taylor's law.
Conclusions:
- Microbial communities are inherently out of equilibrium, necessitating non-equilibrium theoretical approaches.
- Taylor's law may emerge from a fluctuation-growth relation, analogous to Brownian motion and resource equipartition.
- The findings uncover new insights into the physical basis of macroecological patterns in microbial systems.
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