The phenotypic signature of adaptation to thermal stress in Escherichia coli.

BMC Evol Biol

Department of Ecology and Evolutionary Biology, UC Irvine, 321 Steinhaus Hall, Irvine, CA, 92697, USA.

Published: September 2015

AI Article Synopsis

  • Organisms initially cope with stress through temporary changes (phenotypic plasticity), but over time adapt genetically, which can lead to either new traits or a return to pre-stress traits.
  • The study measured 94 traits of 115 E. coli clones adapted to high temperatures, comparing them to their ancestors under both stress and non-stress conditions to understand how evolution impacts trait diversity.
  • Results showed that most changes aimed at restoring original, unstressed traits, with only a small percentage resulting in new traits. Genetic variations influenced these traits, and mutations in different genes (rpoB and rho) led to distinct phenotypic differences among the clones.

Article Abstract

Background: In the short-term, organisms acclimate to stress through phenotypic plasticity, but in the longer term they adapt to stress genetically. The mutations that accrue during adaptation may contribute to completely novel phenotypes, or they may instead act to restore the phenotype from a stressed to a pre-stress condition. To better understand the influence of evolution on the diversity and direction of phenotypic change, we used Biolog microarrays to assay 94 phenotypes of 115 Escherichia coli clones that had adapted to high temperature (42.2 °C). We also assayed these same phenotypes in the clones' ancestor under non-stress (37.0 °C) and stress (42.2 °C) conditions. We explored associations between Biolog phenotypes and genotypes, and we also investigated phenotypic differences between clones that have one of two adaptive genetic trajectories: one that is typified by mutations in the RNA polymerase β-subunit (rpoB) and another that is defined by mutations in the rho termination factor.

Results: Most (54 %) phenotypic variation was restorative, shifting the phenotype from the acclimated state back toward the unstressed state. Novel phenotypes were more rare, comprising between 5 and 18 % of informative phenotypic variation. Phenotypic variation associated statistically with genetic variation, demonstrating a genetic basis for phenotypic change. Finally, clones with rpoB mutations differed in phenotype from those with rho mutations, largely due to differences in chemical sensitivity.

Conclusions: Our results contribute to previous observations showing that a major component of adaptation in microbial evolution experiments is toward restoration to the unstressed state. In addition, we found that a large deletion strongly affected phenotypic variation. Finally, we demonstrated that the two genetic trajectories leading to thermal adaptation encompass different phenotypes.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4557228PMC
http://dx.doi.org/10.1186/s12862-015-0457-3DOI Listing

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