Evidence map›Paper›PMID 42839063›Full record

ArticleNature microbiology2026

Bacteria regulate collective behaviour by mechanosensing cell-cell collisions.

Laure Le Blanc, Giona Cattaneo, Nathel Heraud, Einollah Sarikhani, Dhivya Pushpa Meganathan, Chia-Ni Tsai, Anum Tahir, Marco J Kühn, Zeinab Jahed, Sangwoo Kim and 1 more

Abstract read
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In one paragraph

Article in Nature microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Laure Le BlancGlobal Health Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.ORCID http://orcid.org/0000-0003-3725-5480
Giona CattaneoGlobal Health Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.ORCID http://orcid.org/0009-0002-2022-838X
Nathel HeraudGlobal Health Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Einollah SarikhaniDepartment of Chemical and Nano Engineering, University of California San Diego, La Jolla, CA, USA.
Dhivya Pushpa MeganathanDepartment of Chemical and Nano Engineering, University of California San Diego, La Jolla, CA, USA.
Chia-Ni TsaiGlobal Health Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-2008-3400
Anum TahirDepartment of Chemical and Nano Engineering, University of California San Diego, La Jolla, CA, USA.
Marco J KühnGlobal Health Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Zeinab JahedDepartment of Chemical and Nano Engineering, University of California San Diego, La Jolla, CA, USA.ORCID http://orcid.org/0000-0002-0139-3219
Sangwoo KimInstitute of Mechanical Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. sangwoo.kim@epfl.ch.ORCID http://orcid.org/0000-0002-6646-9376
Alexandre PersatGlobal Health Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. alexandre.persat@epfl.ch.ORCID http://orcid.org/0000-0001-8426-8255

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 219652Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 310030_189084United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research (AF Office of Scientific Research) AFOSR FA9550-23-1-0090
6 · The paper itself

Abstract

Dense bacterial populations often navigate complex and heterogeneous environments using collective behaviours including group motility. Whether local interactions within a population can regulate collective order is unclear. Here we show using live imaging, single-cell tracking and simulations that Pseudomonas aeruginosa regulates collective order by mechanosensing cell-cell collisions, enabling adaptive surface exploration. Collision-induced reversals suppress collective cell alignment in dense bacterial populations. While a non-reversing mutant remains locked in cohesive near-linear motion regardless of density, wild-type cells adapt to local crowding, transitioning from isotropic motion in crowds to unidirectional exploration at the colony front. With increasing density, collisions generate information that feeds back on single-cell motility to regulate collective order, providing a navigational advantage. This advantage extends to spatially structured environments, such as micromazes, where collision-induced reversals prevent cells from becoming trapped at physical boundaries. These findings reveal that bacterial collective organization is not merely an emergent consequence of physical interactions, but a feedback-regulated state.

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.