title: Suppression of Beneficial Mutations in Dynamic Microbial Populations.
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.
authors.affiliation: BioCircuits Institute, University of California San Diego, La Jolla, California 92093, USA.|San Diego Center for Systems Biology, University of California San Diego, La Jolla, California 92093, USA.
authors.forename: Philip
authors.initials: P
authors.lastname: Bittihn
authors.affiliation: BioCircuits Institute, University of California San Diego, La Jolla, California 92093, USA.|San Diego Center for Systems Biology, University of California San Diego, La Jolla, California 92093, USA.|Department of Bioengineering, University of California San Diego, La Jolla, California 92093, USA.|Molecular Biology Section, Division of Biological Science, University of California San Diego, La Jolla, California 92093, USA.
authors.forename: Jeff
authors.initials: J
authors.lastname: Hasty
authors.affiliation: BioCircuits Institute, University of California San Diego, La Jolla, California 92093, USA.|San Diego Center for Systems Biology, University of California San Diego, La Jolla, California 92093, USA.
authors.forename: Lev S
authors.initials: LS
authors.lastname: Tsimring
mesh_terms: D001419:Bacteria / Q000235:genetics*; D019143:Evolution, Molecular; D008957:Models, Genetic; D009154:Mutation