Abstract
Quantitative predictions for the spread of mutations in bacterial populations are essential to interpret evolution experiments and to improve the stability of synthetic gene circuits. We derive analytical expressions for the suppression factor for beneficial mutations in populations that undergo periodic dilutions, covering arbitrary population sizes, dilution factors, and growth advantages in a single stochastic model. We find that the suppression factor grows with the dilution factor and depends nontrivially on the growth advantage, resulting in the preferential elimination of mutations with certain growth advantages. We confirm our results by extensive numerical simulations.
- Received 1 June 2016
- Corrected 22 September 2020
DOI:https://doi.org/10.1103/PhysRevLett.118.028102
© 2017 American Physical Society
Physics Subject Headings (PhySH)
Corrections
22 September 2020