Evidence map›Paper›PMID 40179127›Full record

ArticlePLoS computational biology2025

Spatial structure facilitates evolutionary rescue by drug resistance.

Cecilia Fruet, Ella Linxia Müller, Claude Loverdo, Anne-Florence Bitbol

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

4 authors.

Cecilia FruetInstitute of Bioengineering, School of Life Sciences, ÉcolePolytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.ORCID 0009-0000-1260-0351
Ella Linxia MüllerInstitute of Bioengineering, School of Life Sciences, ÉcolePolytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Claude LoverdoSorbonne Université, CNRS,Institut de Biologie Paris-Seine (IBPS), Laboratoire Jean Perrin (LJP), Paris,France.
Anne-Florence BitbolInstitute of Bioengineering, School of Life Sciences, ÉcolePolytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.ORCID 0000-0003-1020-494X

Funding

European Research Council (ERC)Swiss National Science Foundation
6 · The paper itself

Abstract

Bacterial populations often have complex spatial structures, which can impact their evolution. Here, we study how spatial structure affects the evolution of antibiotic resistance in a bacterial population. We consider a minimal model of spatially structured populations where all demes (i.e., subpopulations) are identical and connected to each other by identical migration rates. We show that spatial structure can facilitate the survival of a bacterial population to antibiotic treatment, starting from a sensitive inoculum. Specifically, the bacterial population can be rescued if antibiotic resistant mutants appear and are present when drug is added, and spatial structure can impact the fate of these mutants and the probability that they are present. Indeed, the probability of fixation of neutral or deleterious mutations providing drug resistance is increased in smaller populations. This promotes local fixation of resistant mutants in the structured population, which facilitates evolutionary rescue by drug resistance in the rare mutation regime. Once the population is rescued by resistance, migrations allow resistant mutants to spread in all demes. Our main result that spatial structure facilitates evolutionary rescue by antibiotic resistance extends to more complex spatial structures, and to the case where there are resistant mutants in the inoculum.

Indexed as

Biological EvolutionDrug Resistance, BacterialAnti-Bacterial AgentsBacteriaComputational BiologyComputer SimulationEvolution, MolecularMutationAnti-Bacterial Agents

Identifiers

PMID40179127
PMCPMC11967957

What OpenQuestion holds

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LicenceCC BY
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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.