Bacterial motility can govern the dynamics of antibiotic resistance evolution

Vit Piskovsky and Nuno M. Oliveira ()
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Vit Piskovsky: University of Cambridge
Nuno M. Oliveira: University of Cambridge

Nature Communications, 2023, vol. 14, issue 1, 1-12

Abstract: Abstract Spatial heterogeneity in antibiotic concentrations is thought to accelerate the evolution of antibiotic resistance, but current theory and experiments have overlooked the effect of cell motility on bacterial adaptation. Here, we study bacterial evolution in antibiotic landscapes with a quantitative model where bacteria evolve under the stochastic processes of proliferation, death, mutation and migration. Numerical and analytical results show that cell motility can both accelerate and decelerate bacterial adaptation by affecting the degree of genotypic mixing and ecological competition. Moreover, we find that for sufficiently high rates, cell motility can limit bacterial survival, and we derive conditions for all these regimes. Similar patterns are observed in more complex scenarios, namely where bacteria can bias their motion in chemical gradients (chemotaxis) or switch between motility phenotypes either stochastically or in a density-dependent manner. Overall, our work reveals limits to bacterial adaptation in antibiotic landscapes that are set by cell motility.

Date: 2023
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DOI: 10.1038/s41467-023-41196-8

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