Influence of cell-cell distance on the ecology and evolution of microbial communities

Microorganisms assemble into spatially structured communities in which neighboring cells are separated by highly heterogeneous cell-cell distances. These spatial distances are not merely geometric features but key ecological variables that determine whether cells can exchange metabolites, compete through toxins, sense one another, or transfer genes, thereby profoundly influencing community assembly, productivity, and the evolution of microorganisms residing in communities. In this review, we synthesize recent progress on how cell-cell distance in microbial communities is determined, as well as how it modulates microbial interactions that lead to diverse ecological and evolutionary consequences. Specifically, we propose several testable conceptual frameworks that help quantify complicated distance-interaction relationships. We discuss emerging imaging, automated analysis, and spatial engineering approaches that now make it possible to quantify and manipulate cell-cell distance with increasing precision. Viewing microbial communities through the lens of cell-cell distance provides a unifying framework for linking microscale spatial organization to microbiome function, offering new opportunities to predict and engineer microbial communities.

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Publication Details

Journal
The ISME Journal
Published
2026-07-25
DOI
https://doi.org/10.1093/ismejo/wrag199
Primary Topic
Bacterial biofilms and quorum sensing
Type
article
Field-Weighted Citation Impact
0.00
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article

Influence of cell-cell distance on the ecology and evolution of microbial communities

Miaoxiao Wang, Ao Huang, Kun Zhao, Devika Ramesh et al.
The ISME Journal
Bacterial biofilms and quorum sensing
article

Influence of cell-cell distance on the ecology and evolution of microbial communities

Miaoxiao Wang, Ao Huang, Kun Zhao, Devika Ramesh, Yong Nie
article en

Abstract

Microorganisms assemble into spatially structured communities in which neighboring cells are separated by highly heterogeneous cell-cell distances. These spatial distances are not merely geometric features but key ecological variables that determine whether cells can exchange metabolites, compete through toxins, sense one another, or transfer genes, thereby profoundly influencing community assembly, productivity, and the evolution of microorganisms residing in communities. In this review, we synthesize recent progress on how cell-cell distance in microbial communities is determined, as well as how it modulates microbial interactions that lead to diverse ecological and evolutionary consequences. Specifically, we propose several testable conceptual frameworks that help quantify complicated distance-interaction relationships. We discuss emerging imaging, automated analysis, and spatial engineering approaches that now make it possible to quantify and manipulate cell-cell distance with increasing precision. Viewing microbial communities through the lens of cell-cell distance provides a unifying framework for linking microscale spatial organization to microbiome function, offering new opportunities to predict and engineer microbial communities.

The ISME Journal
University of Electronic Science and Technology of China (CN), Peking University (CN), ETH Zurich (CH), Sichuan Provincial Hospital of Traditional Chinese Medicine (CN), Swiss Federal Institute of Aquatic Science and Technology (CH)
Openalex Percentile: Top 14%
Bacterial biofilms and quorum sensing
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