The Genetic and Transcriptional Basis of Short and Long Term Adaptation across Multiple Stresses in Escherichia coli
- PMID: 28007978
- DOI: 10.1093/molbev/msw269
The Genetic and Transcriptional Basis of Short and Long Term Adaptation across Multiple Stresses in Escherichia coli
Abstract
Microbes exhibit short and long term responses when exposed to challenging environmental conditions. To what extent these responses are correlated, what their evolutionary potential is and how they translate to cross-stress fitness is still unclear. In this study, we comprehensively characterized the response of Escherichia coli populations to four abiotic stresses (n-butanol, osmotic, acidic, and oxidative) and their combinations by performing genome-scale transcriptional analysis and growth profiling. We performed an analysis of their cross-stress behavior which identified 15 cases of cross- protection and one case of cross vulnerability. To elucidate the evolutionary potential of stress responses to individual stresses and stress combinations, we re-sequenced E. coli populations evolved in those four environments for 500 generations. We developed and applied a network-driven method that integrates mutations and differential expression to identify core and stress-specific gene communities that are likely to have a phenotypic impact. Our results suggest that beyond what is expected from the general stress response mechanisms, cross-stress behavior arises both from common pathways, several including metal ion binding and glycolysis/gluconeogenesis, and stress-specific expression programs. The stress-specific dependences uncovered, argue that cross-stress behavior is ubiquitous and central to understanding microbial physiology under stressful conditions.
Keywords: cross-stress protection; evolutionary trade-offs; microbial evolution; network analysis.; stress adaptation.
© The Author 2016. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.
Similar articles
-
Evolutionary potential, cross-stress behavior and the genetic basis of acquired stress resistance in Escherichia coli.Mol Syst Biol. 2013;9:643. doi: 10.1038/msb.2012.76. Mol Syst Biol. 2013. PMID: 23385483 Free PMC article.
-
Bacterial Evolution in High-Osmolarity Environments.mBio. 2020 Aug 4;11(4):e01191-20. doi: 10.1128/mBio.01191-20. mBio. 2020. PMID: 32753494 Free PMC article.
-
Evolutionary adaptation to environmental pH in experimental lineages of Escherichia coli.Evolution. 2007 Jul;61(7):1725-34. doi: 10.1111/j.1558-5646.2007.00139.x. Evolution. 2007. PMID: 17598751
-
Phenotypic and evolutionary adaptation of a model bacterial system to stressful thermal environments.EXS. 1997;83:135-54. doi: 10.1007/978-3-0348-8882-0_8. EXS. 1997. PMID: 9342847 Review.
-
Stress-induced variation in evolution: from behavioural plasticity to genetic assimilation.Proc Biol Sci. 2005 May 7;272(1566):877-86. doi: 10.1098/rspb.2004.3045. Proc Biol Sci. 2005. PMID: 16024341 Free PMC article. Review.
Cited by
-
Ribosome-binding antibiotics increase bacterial longevity and growth efficiency.Proc Natl Acad Sci U S A. 2023 Oct 3;120(40):e2221507120. doi: 10.1073/pnas.2221507120. Epub 2023 Sep 26. Proc Natl Acad Sci U S A. 2023. PMID: 37751555 Free PMC article.
-
Drug delivery dynamics dictate evolution of bacterial antibiotic responses.ISME J. 2025 Jan 2;19(1):wraf082. doi: 10.1093/ismejo/wraf082. ISME J. 2025. PMID: 40349169 Free PMC article.
-
Predicting the evolution of Escherichia coli by a data-driven approach.Nat Commun. 2018 Sep 3;9(1):3562. doi: 10.1038/s41467-018-05807-z. Nat Commun. 2018. PMID: 30177705 Free PMC article.
-
Adaptive laboratory evolution of Micrococcus luteus and identification of genes associated with radioresistance through genome-wide association study.Sci Rep. 2025 Feb 15;15(1):5614. doi: 10.1038/s41598-025-90434-0. Sci Rep. 2025. PMID: 39955430 Free PMC article.
-
Xenobiotic Effects of Chlorine Dioxide to Escherichia coli O157:H7 on Non-host Tomato Environment Revealed by Transcriptional Network Modeling: Implications to Adaptation and Selection.Front Microbiol. 2020 Jun 3;11:1122. doi: 10.3389/fmicb.2020.01122. eCollection 2020. Front Microbiol. 2020. PMID: 32582084 Free PMC article.
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Molecular Biology Databases