Evidence map›Paper›PMID 42483960›Full record

ArticleMolecular biology and evolution2026

Bacterial Persistence Modulates the Speed, Magnitude, and Onset of Antibiotic Resistance Evolution.

Giorgio Boccarella, Philip Ruelens, Ernesto Berríos-Caro, Bram Van den Bergh, Lloyd Cool, Jan Michiels, Pieter van den Berg

Abstract read
In one paragraph

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

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0citing papers in PubMed
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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

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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

7 authors.

Giorgio BoccarellaEvolutionary Modelling Group, Department of Biology, KU Leuven, Leuven, Belgium.ORCID 0000-0003-4897-7630
Philip RuelensCentre of Microbial and Plant Genetics, KU Leuven, Leuven, Belgium.ORCID 0000-0003-1524-1897
Ernesto Berríos-CaroResearch Group Stochastic Evolutionary Dynamics, Max Planck Institute for Evolutionary Biology, Plön, Germany.ORCID 0000-0002-2080-1273
Bram Van den BerghCentre of Microbial and Plant Genetics, KU Leuven, Leuven, Belgium.ORCID 0000-0003-4429-9780
Lloyd CoolCentre of Microbial and Plant Genetics, KU Leuven, Leuven, Belgium.ORCID 0000-0001-9936-3124
Jan MichielsCentre of Microbial and Plant Genetics, KU Leuven, Leuven, Belgium.ORCID 0000-0001-5829-0897
Pieter van den BergEvolutionary Modelling Group, Department of Biology, KU Leuven, Leuven, Belgium.ORCID 0000-0001-7886-9345

Funding

EOS-Excellence of Science 40007496Flanders Institute for BiotechnologyFlemish GovernmentFWO 1150023NFWO 12O1922NKU Leuven C16/17/006KU Leuven C16/23/007KU Leuven ZKE3820Research Foundation 11PT624NResearch Foundation G0B0420N
6 · The paper itself

Abstract

Bacterial persistence, a phenomenon where a subpopulation of cells can exhibit increased survival to antibiotic stress, allows part of the population to withstand antibiotic treatment. This can have far-reaching implications for the evolution of antibiotic resistance, yet its evolutionary consequences remain insufficiently understood. Here, using a combination of evolutionary modeling and experimental evolution data on Escherichia coli, we show that persistence impacts the speed, onset, and magnitude of antibiotic resistance evolution. Specifically, high persistence facilitates the slow establishment of small-effect mutations by protecting them from antibiotic killing, while low persistence boosts the rapid yet unpredictable emergence of rare large-effect resistance mutations by amplifying their competitive advantage. Our results show that persistence level has a critical impact on the trade-off between short-term population survival and the evolution of high-level resistance, with distinct outcomes depending on the severity of the antibiotic treatment regimen. These findings provide key insights for designing antibiotic treatment strategies that minimize the risk of antibiotic resistance evolution while maintaining treatment efficacy.

Indexed as

Drug Resistance, BacterialEscherichia coliAnti-Bacterial AgentsBiological EvolutionEvolution, MolecularMutationAnti-Bacterial Agentsantibiotic resistancebacterial persistenceevolutionary model

Identifiers

PMID42483960
PMCPMC13475807

What OpenQuestion holds

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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.