Spatial structure facilitates evolutionary rescue by drug resistance
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.
Authors
- Anne‐Florence Bitbol (ORCID: https://orcid.org/0000-0003-1020-494X)
- Claude Loverdo (ORCID: https://orcid.org/0000-0002-0888-1717)
- Cecilia Fruet (ORCID: https://orcid.org/0009-0000-1260-0351)
- Ella Linxia Müller
Institutions
- SIB Swiss Institute of Bioinformatics (CH)
- Centre National de la Recherche Scientifique (FR)
- Sorbonne Université (FR)
- Laboratoire Jean Perrin (FR)
- École Polytechnique Fédérale de Lausanne (CH)
Publication Details
- Journal
- PLoS Computational Biology
- Published
- 2025-04-03
- DOI
- https://doi.org/10.1371/journal.pcbi.1012861
- Citations
- 6
- Primary Topic
- Evolution and Genetic Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 10.90
Funders
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- European Research Council