Adaptation of Escherichia coli to long-term serial passage in complex medium: Evidence of parallel evolution

Karin E. Kram, Christopher Geiger, Wazim Mohammed Ismail, Heewook Lee, Haixu Tang, Patricia L. Foster, Steven E. Finkel

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

Experimental evolution of bacterial populations in the laboratory has led to identification of several themes, including parallel evolution of populations adapting to carbon starvation, heat stress, and pH stress. However, most of these experiments study growth in defined and/or constant environments. We hypothesized that while there would likely continue to be parallelism in more complex and changing environments, there would also be more variation in what types of mutations would benefit the cells. In order to test our hypothesis, we serially passaged Escherichia coli in a complex medium (Luria-Bertani broth) throughout the five phases of bacterial growth. This passaging scheme allowed cells to experience a wide variety of stresses, including nutrient limitation, oxidative stress, and pH variation, and therefore allowed them to adapt to several conditions. After every ∼30 generations of growth, for a total of ∼300 generations, we compared both the growth phenotypes and genotypes of aged populations to the parent population. After as few as 30 generations, populations exhibit changes in growth phenotype and accumulate potentially adaptive mutations. There were many genes with mutant alleles in different populations, indicating potential parallel evolution. We examined 8 of these alleles by constructing the point mutations in the parental genetic background and competed those cells with the parent population; five of these alleles were found to be adaptive. The variety and swiftness of adaptive mutations arising in the populations indicate that the cells are adapting to a complex set of stresses, while the parallel nature of several of the mutations indicates that this behavior may be generalized to bacterial evolution.

Original languageEnglish (US)
Article numbere00192
JournalmSystems
Volume2
Issue number2
DOIs
StatePublished - Mar 1 2017
Externally publishedYes

Keywords

  • Adaptive evolution
  • Laboratory evolution
  • Long-term stationary phase
  • Survival

ASJC Scopus subject areas

  • Microbiology
  • Physiology
  • Biochemistry
  • Ecology, Evolution, Behavior and Systematics
  • Modeling and Simulation
  • Molecular Biology
  • Genetics
  • Computer Science Applications

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