Phenotypic heterogeneity between genetically identical cells permits growth with lethal levels of formaldehyde stress

 · Invited

Abstract

Scientists tend to appreciate microbes for their simplicity and predictability: a population of genetically identical cells inhabiting a uniform environment is expected to behave in a uniform way. However, counter-examples to this assumption are frequently being discovered, forcing a re-examination of the relationship between genotype and phenotype. In most such examples, bacterial cells are found to split into two discrete populations, for instance growing and non-growing. Here, we report the discovery of a novel example of microbial phenotypic heterogeneity in which cells are distributed along a gradient of phenotypes, ranging from low to high tolerance of a toxic chemical. Furthermore, we demonstrate that the distribution of phenotypes changes in different growth conditions, and we use mathematical modeling to show that cells may change their phenotype either randomly or in a particular direction in response to the environment. Our work expands our understanding of how a bacterial cell's genome, family history, and environment all contribute to its behavior, with implications for the diverse situations in which we care to understand the growth of any single-celled populations.

*Funding for this work came from an Army Research Office MURI sub-award to CJM (W911NF-12-1-0390), a CMCI Pilot Grant to CJM, CHR, and AEV (parent NIH award P20GM104420), and a grant from the John Templeton Foundation to Global Viral (Grant ID 60973).

Presenters

  • Christopher Marx

    • Biological Sciences, University of Idaho

Authors

  • Jessica A Lee

    • Biological Sciences, University of Idaho
  • Siavash Riazi

    • Biological Sciences, University of Idaho
  • Shahla Nemati

    • Physics, University of Idaho
  • Jannell V Bazurto

    • Biological Sciences, University of Idaho
  • Andreas E Vasdekis

    • Physics, University of Idaho
  • Benjamin J Ridenhour

    • Mathematics, University of Idaho
  • Christopher H Remien

    • Mathematics, University of Idaho
  • Christopher Marx

    • Biological Sciences, University of Idaho