Physical review. EBioinformaticsPeer-reviewed journal article
Microbial populations hardly ever grow logistically and never sublinearly
José Camacho-MateuiD, Aniello LampoiD, Mario CastroiD, José A. CuestaiD
Abstract
We investigate the growth dynamics of microbial populations, challenging the conventional logistic model. By analyzing empirical data from various biomes, we demonstrate that microbial growth is better described by a generalized logistic model, the{theta} -logistic model. This accounts for different growth mechanisms and environmental fluctuations, leading to a generalized gamma distribution of abundance fluctuations. Our findings reveal that microbial growth is never sublinear, so they cannot endorse--at least in the microbial world--the recent proposal of this mechanism as a stability enhancer of highly diverse communities. These results have significant implications for understanding macroecological patterns and the stability of microbial ecosystems.
- Citations
- 7
- FWCI
- 6.34
- Field percentile
- top 3%
- Mathematical and Theoretical Epidemiology and Ecology Models
- Microbial Community Ecology and Physiology
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Stochastic logistic models reproduce experimental time series of microbial communities
Lana Descheemaeker, Sophie de Buyl·eLifePeer-reviewed·Jul 20, 2020
- Investigating macroecological patterns in coarse-grained microbial communities using the stochastic logistic model of growth
W. R. Shoemaker, J. Grilli·bioRxiv·Mar 2, 2023
- Dynamic coexistence driven by physiological transitions in microbial communities
A. Narla, T. Hwa, A. Murugan·bioRxiv·Jan 10, 2024
- Macroecological patterns in experimental microbial communities
W. R. Shoemaker, A. Sanchez, J. Grilli·bioRxiv·Jul 24, 2023
- The role of space in explaining macroecological patterns of microbial abundance
Adriá}n Gutiérrez-Arroyo, Aniello Lampo, José A. Cuesta·bioRxiv·Jul 10, 2026
- A Minimal Stochastic Model of Microbial Ecological Dynamics in a Single-Species-Single-Resource Setting
Cheuk Fung Alvin Leung, Anatoly B. Kolomeisky·The Journal of Physical Chemistry BPeer-reviewed·Sep 9, 2026