Genome and transcriptomic analysis of the adaptation of Escherichia coli to environmental stresses
- PMID: 38817967
- PMCID: PMC11137339
- DOI: 10.1016/j.csbj.2024.05.033
Genome and transcriptomic analysis of the adaptation of Escherichia coli to environmental stresses
Abstract
In natural niches, bacteria are forced to spend most of their lives under various environmental stresses, such as nutrient limitation, heavy metal pollution, heat and antibiotic stress. To cope with adverse environments, bacterial genome can during the life cycle, produce potential adaptive mutants. The genomic changes, especially mutations, in the genes that encode RNA polymerase and transcription factors, might lead to variations in the transcriptome. These variations enable bacteria to cope with environmental stresses through physiological adaptation in response to stress. This paper reviews the recent contributions of genomic and transcriptomic analyses in understanding the adaption mechanism of Escherichia coli to environmental stresses. Various genomic changes have been observed in E. coli strains in laboratory or under natural stresses, including starvation, heavy metals, acidic conditions, heat shock and antibiotics. The mutations include slight changes (one to several nucleotides), deletions, insertions, chromosomal rearrangements and variations in copy numbers. The transcriptome of E. coli largely changes due to genomic mutations. However, the transcriptional profiles vary due to variations in stress selections. Cellular adaptation to the selections is associated with transcriptional changes resulting from genomic mutations. Changes in genome and transcriptome are cooperative and jointly affect the adaptation of E. coli to different environments. This comprehensive review reveals that coordination of genome mutations and transcriptional variations needs to be explored further to provide a better understanding of the mechanisms of bacterial adaptation to stresses.
Keywords: Adaptation; E. coli; Environmental stress; Genome mutations; Transcriptome variation.
© 2024 The Authors.
Conflict of interest statement
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Figures

Similar articles
-
Different adaptive strategies in E. coli populations evolving under macronutrient limitation and metal ion limitation.BMC Evol Biol. 2018 May 18;18(1):72. doi: 10.1186/s12862-018-1191-4. BMC Evol Biol. 2018. PMID: 29776341 Free PMC article.
-
Multilevel comparative analysis of the contributions of genome reduction and heat shock to the Escherichia coli transcriptome.BMC Genomics. 2013 Jan 16;14:25. doi: 10.1186/1471-2164-14-25. BMC Genomics. 2013. PMID: 23324527 Free PMC article.
-
Genomewide Stabilization of mRNA during a "Feast-to-Famine" Growth Transition in Escherichia coli.mSphere. 2020 May 20;5(3):e00276-20. doi: 10.1128/mSphere.00276-20. mSphere. 2020. PMID: 32434841 Free PMC article.
-
Epigenomics in stress tolerance of plants under the climate change.Mol Biol Rep. 2023 Jul;50(7):6201-6216. doi: 10.1007/s11033-023-08539-6. Epub 2023 Jun 9. Mol Biol Rep. 2023. PMID: 37294468 Review.
-
Insights into the role of extracellular polysaccharides in Burkholderia adaptation to different environments.Front Cell Infect Microbiol. 2011 Dec 15;1:16. doi: 10.3389/fcimb.2011.00016. eCollection 2011. Front Cell Infect Microbiol. 2011. PMID: 22919582 Free PMC article. Review.
Cited by
-
Title-Evaluation of Interplay of Gene Expression and Chromosome Structure in E. coli Growth: Regulatory Insights.Curr Microbiol. 2024 Jun 21;81(8):235. doi: 10.1007/s00284-024-03773-y. Curr Microbiol. 2024. PMID: 38907057 No abstract available.
-
Genomic insights into antimicrobial resistance and virulence of E. coli in central Ethiopia: a one health approach.Front Microbiol. 2025 Jun 10;16:1597580. doi: 10.3389/fmicb.2025.1597580. eCollection 2025. Front Microbiol. 2025. PMID: 40556891 Free PMC article.
References
-
- Zhang G., Campbell E.A., Minakhin L., Richter C., Severinov K., Darst S.A. The mutation rate as an evolving trait. Nat Rev Genet. 2023;24(1):3. - PubMed
Publication types
LinkOut - more resources
Full Text Sources
Molecular Biology Databases