Population Size Mediates the Contribution of High-rate and Large-benefit Mutations to Parallel Evolution
Overview
Authors
Affiliations
Mutations with large fitness benefits and mutations occurring at high rates may both cause parallel evolution, but their contribution is predicted to depend on population size. Moreover, high-rate and large-benefit mutations may have different long-term adaptive consequences. We show that small and 100-fold larger bacterial populations evolve resistance to a β-lactam antibiotic by using similar numbers, but different types of mutations. Small populations frequently substitute similar high-rate structural variants and loss-of-function point mutations, including the deletion of a low-activity β-lactamase, and evolve modest resistance levels. Large populations more often use low-rate, large-benefit point mutations affecting the same targets, including mutations activating the β-lactamase and other gain-of-function mutations, leading to much higher resistance levels. Our results demonstrate the separation by clonal interference of mutation classes with divergent adaptive consequences, causing a shift from high-rate to large-benefit mutations with increases in population size.
acquisition of antibiotic resistance in six species of bacteria.
Wang X, Koster A, Koenders B, Jonker M, Brul S, Ter Kuile B Microbiol Spectr. 2025; 13(3):e0178524.
PMID: 39907470 PMC: 11878088. DOI: 10.1128/spectrum.01785-24.
Progression of amplification during amoxicillin resistance development in .
Nong L, Jonker M, de Leeuw W, Wortel M, Ter Kuile B mBio. 2024; 16(2):e0298224.
PMID: 39704543 PMC: 11796351. DOI: 10.1128/mbio.02982-24.
Ecological and evolutionary mechanisms driving within-patient emergence of antimicrobial resistance.
Shepherd M, Fu T, Harrington N, Kottara A, Cagney K, Chalmers J Nat Rev Microbiol. 2024; 22(10):650-665.
PMID: 38689039 DOI: 10.1038/s41579-024-01041-1.
Mutation bias and adaptation in bacteria.
Horton J, Taylor T Microbiology (Reading). 2023; 169(11).
PMID: 37943288 PMC: 10710837. DOI: 10.1099/mic.0.001404.
Kosterlitz O, Grassi N, Werner B, McGee R, Top E, Kerr B Mol Biol Evol. 2023; 40(11).
PMID: 37931146 PMC: 10657783. DOI: 10.1093/molbev/msad237.