High growth rates can promote persister cell formation in <i>Pseudomonas aeruginosa</i>

Bacterial persister cells are characterized by arrested growth and survival in normally lethal antibiotic concentrations. Observations of persistence peaking in the stationary phase suggest that its function may be associated with slow growth, potentially acting as a 'bet-hedging' strategy under stress. However, fundamental questions remain about the adaptive function of persistence and how it evolves, as no genetic mechanism has been identified and only a small fraction of the population (≤1%) is in a persistent state at any time. To test whether slow growth conditions promote persistence, we manipulated population growth rate by initiating cultures with different densities of inoculum and compared persistence across growth curve phases. We conducted these experiments in a well-studied Escherichia coli strain and the pathogen Pseudomonas aeruginosa, in which persistence is known to present a challenge to lung infection treatments. While E. coli exhibited persistence predominantly during the stationary phase as previously reported, peaks in persistence were detected during the exponential phase and even the lag phase in P. aeruginosa cultures inoculated with low-density inoculum. Further assays identified factors associated with the internal cell state, which require further investigation but suggest that patterns of persistence in E. coli may not be representative of other species and that persistence may also be linked with population cell division history and metabolic state.

Authors

Institutions

Publication Details

Journal
Proceedings of the Royal Society B Biological Sciences
Published
2026-04-22
DOI
https://doi.org/10.1098/rspb.2025.3285
Primary Topic
Bacterial Genetics and Biotechnology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High growth rates can promote persister cell formation in Pseudomonas aeruginosa

Ashleigh S. Griffin, Stephan Uphoff, Divya Choudhary, Saran Davies et al.
Proceedings of the Royal Society B Biological Sciences
Bacterial Genetics and Biotechnology
article

High growth rates can promote persister cell formation in Pseudomonas aeruginosa

Ashleigh S. Griffin, Stephan Uphoff, Divya Choudhary, Saran Davies, Madeleine Judge, Melanie Ghoul
article en

Abstract

Bacterial persister cells are characterized by arrested growth and survival in normally lethal antibiotic concentrations. Observations of persistence peaking in the stationary phase suggest that its function may be associated with slow growth, potentially acting as a 'bet-hedging' strategy under stress. However, fundamental questions remain about the adaptive function of persistence and how it evolves, as no genetic mechanism has been identified and only a small fraction of the population (≤1%) is in a persistent state at any time. To test whether slow growth conditions promote persistence, we manipulated population growth rate by initiating cultures with different densities of inoculum and compared persistence across growth curve phases. We conducted these experiments in a well-studied Escherichia coli strain and the pathogen Pseudomonas aeruginosa, in which persistence is known to present a challenge to lung infection treatments. While E. coli exhibited persistence predominantly during the stationary phase as previously reported, peaks in persistence were detected during the exponential phase and even the lag phase in P. aeruginosa cultures inoculated with low-density inoculum. Further assays identified factors associated with the internal cell state, which require further investigation but suggest that patterns of persistence in E. coli may not be representative of other species and that persistence may also be linked with population cell division history and metabolic state.

Proceedings of the Royal Society B Biological SciencesVol. 293(2069)
University of Oxford (GB)
Department of Zoology, University of Oxford, European Research Council
Openalex Percentile: Top 9%
Bacterial Genetics and Biotechnology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.