Evidence map›Paper›PMID 42162019›Full record

ArticleNature communications2026

Single-cell approach dissecting agr quorum sensing dynamics in Staphylococcus aureus.

Julian Bär, Mariane Pivard, Samuel G V Charlton, Andrew G Kempchinsky, Alejandro Gómez-Mejia, Giovanni Stefano Ugolini, Srikanth Mairpady Shambat, Eleonora Secchi, Annelies S Zinkernagel

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

9 authors.

Julian BärDepartment of Infectious Diseases and Hospital Epidemiology, University Hospital Zürich, University of Zürich, Zürich, Switzerland.ORCID http://orcid.org/0000-0003-1929-0338
Mariane PivardDepartment of Infectious Diseases and Hospital Epidemiology, University Hospital Zürich, University of Zürich, Zürich, Switzerland.ORCID http://orcid.org/0000-0002-8357-1380
Samuel G V CharltonDepartment of Civil, Environmental and Geomatic Engineering, ETH Zurich, Zurich, Switzerland.
Andrew G KempchinskyDepartment of Infectious Diseases and Hospital Epidemiology, University Hospital Zürich, University of Zürich, Zürich, Switzerland.
Alejandro Gómez-MejiaDepartment of Infectious Diseases and Hospital Epidemiology, University Hospital Zürich, University of Zürich, Zürich, Switzerland.ORCID http://orcid.org/0000-0002-7313-7169
Giovanni Stefano UgoliniDepartment of Civil, Environmental and Geomatic Engineering, ETH Zurich, Zurich, Switzerland.
Srikanth Mairpady ShambatDepartment of Infectious Diseases and Hospital Epidemiology, University Hospital Zürich, University of Zürich, Zürich, Switzerland.
Eleonora SecchiDepartment of Civil, Environmental and Geomatic Engineering, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-0949-9085
Annelies S ZinkernagelDepartment of Infectious Diseases and Hospital Epidemiology, University Hospital Zürich, University of Zürich, Zürich, Switzerland. annelies.zinkernagel@usz.ch.ORCID http://orcid.org/0000-0003-4700-1118

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) PRIMA grant 179834Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) Project Grant 310030_204343
6 · The paper itself

Abstract

Quorum sensing (QS) enables bacteria to coordinate collective behaviors by secreting and sensing diffusible signals. Understanding QS at single-cell resolution is essential because population-level measurements often obscure regulatory heterogeneity. In Staphylococcus aureus, the accessory gene regulator (agr) system is a major QS-controlled virulence regulator activated by autoinducing peptides (AIPs). Four agr-types exist, each defined by distinct AIPs and capable of cross-inhibition, yet their activation dynamics and interaction hierarchies remain poorly understood. Using microfluidics, time-lapse microscopy, and deep-learning-based image analysis, we quantified agr-activation in congenic and native agr-type strains. Agr-types differed in sensitivity to their homologous AIPs: agr-III was largely unresponsive, whereas agr-IV was highly sensitive with elevated basal activation. Agr-activation distribution was frequently bimodal (simultaneous existence of agr-ON and agr-OFF cells), driven by subpopulations that never activated or switched to agr-OFF despite constant stimulation. Combining homologous and heterologous AIPs, AIP‑IV suppressed pre‑activated agr-I, while AIP-I had no inhibitory effect on agr‑IV, indicating asymmetric cross‑inhibition. In spatially segregated cocultures, diffusional crosstalk resulted in four reproducible agr-interaction regimes, stable-dominance, stable-, delayed-, or unstable-dual-activation, determined by agr-type pairing and influenced by genetic background. Our approach links single-cell signaling to population outcomes and uncovers agr-type-specific asymmetries with potential consequences for strain competition and virulence.

Indexed as

Bacterial ProteinsQuorum SensingSingle-Cell AnalysisStaphylococcus aureusTrans-ActivatorsGene Expression Regulation, BacterialTime-Lapse ImagingAgr protein, Staphylococcus aureusBacterial ProteinsTrans-Activators

Identifiers

PMID42162019
PMCPMC13458059

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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.