Bacterial proliferation pattern formation

Bacteria can form a great variety of spatially heterogeneous cell density patterns, ranging from simple concentric rings to dynamical spiral waves appearing in growing colonies. These pattern formation phenomena are important as they reflect how cellular processes such as metabolism operate in heterogeneous chemical environments. In the laboratory, they can be studied in simplified setups, where spatial gradients of oxygen and nutrients are externally imposed, and cells are immobilized in a gel matrix. An intriguing example, observed in such setups over 80 years ago, is the sequential formation of narrow bands of high cell density, taking place even for a clonal population. However, key aspects of the dynamics of band formation remained obscure. Using time-lapse imaging of replicate transparent columns in simplified growth media, we first quantify the precision of the positioning and timing of band formation. We also show that the appearance and position of different bands can be modulated independently. This “modularity” is suggested by the observation that different bands differ in their gene expression, and it is reproduced by a theoretical model based on the existence of internal metabolic states and the induction of a pH gradient. Finally, we can also modify the observed pattern formation by introducing genetic modifications that impair selected metabolic pathways. In our opinion, the possibility of precise measurements and controls, together with the simplicity and richness of the “proliferation pattern formation” phenomenon, can make it a model system to study the response of cellular processes to heterogeneous environments.

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Publication Details

Journal
PRX Life
Published
2025-02-04
DOI
https://doi.org/10.1103/prxlife.3.013007
Citations
2
Primary Topic
Microbial Community Ecology and Physiology
Type
article
Field-Weighted Citation Impact
3.43

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article

Bacterial proliferation pattern formation

Riccardo Rao, John S. Chuang, Stanislas Leibler
2 citations
PRX Life
Microbial Community Ecology and Physiology
3.43
article

Bacterial proliferation pattern formation

Riccardo Rao, John S. Chuang, Stanislas Leibler
article en
2 citations

Abstract

Bacteria can form a great variety of spatially heterogeneous cell density patterns, ranging from simple concentric rings to dynamical spiral waves appearing in growing colonies. These pattern formation phenomena are important as they reflect how cellular processes such as metabolism operate in heterogeneous chemical environments. In the laboratory, they can be studied in simplified setups, where spatial gradients of oxygen and nutrients are externally imposed, and cells are immobilized in a gel matrix. An intriguing example, observed in such setups over 80 years ago, is the sequential formation of narrow bands of high cell density, taking place even for a clonal population. However, key aspects of the dynamics of band formation remained obscure. Using time-lapse imaging of replicate transparent columns in simplified growth media, we first quantify the precision of the positioning and timing of band formation. We also show that the appearance and position of different bands can be modulated independently. This “modularity” is suggested by the observation that different bands differ in their gene expression, and it is reproduced by a theoretical model based on the existence of internal metabolic states and the induction of a pH gradient. Finally, we can also modify the observed pattern formation by introducing genetic modifications that impair selected metabolic pathways. In our opinion, the possibility of precise measurements and controls, together with the simplicity and richness of the “proliferation pattern formation” phenomenon, can make it a model system to study the response of cellular processes to heterogeneous environments.

PRX LifeVol. 3(1)
Complexity Science Hub (AT), Science Hub, Medical University of Vienna (AT), Rockefeller University (US)
Simons Foundation, Institute for Advanced Study, Rockefeller University, Austrian Science Fund
Openalex Percentile: Top 11%
Microbial Community Ecology and Physiology
3.43
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