Microbial populations hardly ever grow logistically and never sublinearly

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 θ-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.

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Publication Details

Journal
Physical review. E
Published
2025-04-04
DOI
https://doi.org/10.1103/physreve.111.044404
Citations
4
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
7.27
Controls
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article

Microbial populations hardly ever grow logistically and never sublinearly

Mario Castro, Aniello Lampo, José A. Cuesta, José Camacho-Mateu
4 citations
Physical review. E
Evolution and Genetic Dynamics
7.27
article

Microbial populations hardly ever grow logistically and never sublinearly

Mario Castro, Aniello Lampo, José A. Cuesta, José Camacho-Mateu
article en
4 citations

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 θ-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.

Physical review. EVol. 111(4)
Biocom (US), Instituto de Biocomputación y Física de Sistemas Complejos, Universidad Carlos III de Madrid (ES), Universidad Pontificia Comillas (ES)
Openalex Percentile: Top 3%
Evolution and Genetic Dynamics
7.27
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Microbial populations hardly ever grow logistically and never sublinearly — Mario Castro, Aniello Lampo, et al. · Physical review. E (2025) | TGRS Research Map | TGRS