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The phenotypic signature of adaptation to thermal stress in Escherichia coli

Overview of attention for article published in BMC Ecology and Evolution, September 2015
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Title
The phenotypic signature of adaptation to thermal stress in Escherichia coli
Published in
BMC Ecology and Evolution, September 2015
DOI 10.1186/s12862-015-0457-3
Pubmed ID
Authors

Shaun M. Hug, Brandon S. Gaut

Abstract

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. 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. 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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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Belgium 2 3%
France 1 1%
Unknown 65 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 29%
Researcher 16 23%
Student > Master 8 11%
Student > Bachelor 6 9%
Student > Postgraduate 5 7%
Other 11 16%
Unknown 4 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 40%
Biochemistry, Genetics and Molecular Biology 19 27%
Immunology and Microbiology 7 10%
Environmental Science 4 6%
Mathematics 1 1%
Other 5 7%
Unknown 6 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 February 2016.
All research outputs
#19,944,994
of 25,374,647 outputs
Outputs from BMC Ecology and Evolution
#3,171
of 3,714 outputs
Outputs of similar age
#189,950
of 277,052 outputs
Outputs of similar age from BMC Ecology and Evolution
#63
of 79 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
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