Unknown

Dataset Information

0

Mutation rate variability as a driving force in adaptive evolution.


ABSTRACT: Mutation rate is a key determinant of the pace as well as outcome of evolution, and variability in this rate has been shown in different scenarios to play a key role in evolutionary adaptation and resistance evolution under stress caused by selective pressure. Here we investigate the dynamics of resistance fixation in a bacterial population with variable mutation rates, and we show that evolutionary outcomes are most sensitive to mutation rate variations when the population is subject to environmental and demographic conditions that suppress the evolutionary advantage of high-fitness subpopulations. By directly mapping a biophysical fitness function to the system-level dynamics of the population, we show that both low and very high, but not intermediate, levels of stress in the form of an antibiotic result in a disproportionate effect of hypermutation on resistance fixation. We demonstrate how this behavior is directly tied to the extent of genetic hitchhiking in the system, the propagation of high-mutation rate cells through association with high-fitness mutations. Our results indicate a substantial role for mutation rate flexibility in the evolution of antibiotic resistance under conditions that present a weak advantage over wildtype to resistant cells.

SUBMITTER: Engelhardt D 

PROVIDER: S-EPMC6819004 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature

altmetric image

Publications

Mutation rate variability as a driving force in adaptive evolution.

Engelhardt Dalit D   Shakhnovich Eugene I EI  

Physical review. E 20190201 2-1


Mutation rate is a key determinant of the pace as well as outcome of evolution, and variability in this rate has been shown in different scenarios to play a key role in evolutionary adaptation and resistance evolution under stress caused by selective pressure. Here we investigate the dynamics of resistance fixation in a bacterial population with variable mutation rates, and we show that evolutionary outcomes are most sensitive to mutation rate variations when the population is subject to environ  ...[more]

Similar Datasets

| S-EPMC10471227 | biostudies-literature
| S-EPMC7395509 | biostudies-literature
| S-EPMC5662758 | biostudies-literature
| S-EPMC6452272 | biostudies-literature
| S-EPMC2910838 | biostudies-literature
| S-EPMC7871599 | biostudies-literature
| S-EPMC6776046 | biostudies-literature
| S-EPMC7947773 | biostudies-literature
| S-EPMC1978086 | biostudies-other
| S-EPMC4737298 | biostudies-literature