ArticleBMC evolutionary biology2015
Phenotypic convergence in bacterial adaptive evolution to ethanol stress.
Article in BMC evolutionary biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Impact of alcohol on gut microbial metabolism and the gut-liver-brain axis.Alcohol (Fayetteville, N.Y.) · 2026Review
- Reprogramming the EnvZ-OmpR two-component system confers ethanol tolerance in Escherichia coli by stabilizing the outer membrane and altering ferric homeostasis.PLoS genetics · 2025Article
- Resource presentation dictates genetic and phenotypic adaptation in yeast.BMC ecology and evolution · 2025Article
- Dimensional reduction and adaptation-development-evolution relation in evolved biological systems.Biophysical reviews · 2024Review
- Development of specialized devices for microbial experimental evolution.Development, growth & differentiation · 2024Review
- The phage shock protein (PSP) envelope stress response: discovery of novel partners and evolutionary history.mSystems · 2024Article
- Ethanol tolerance in engineered strains of Clostridium thermocellum.Biotechnology for biofuels and bioproducts · 2023Article
- Analysis of the evolution of resistance to multiple antibiotics enables prediction of the Escherichia coli phenotype-based fitness landscape.PLoS biology · 2022Article
- Laboratory evolution of synthetic electron transport system variants reveals a larger metabolic respiratory system and its plasticity.Nature communications · 2022Article
- Microbial adaptive evolution.Journal of industrial microbiology & biotechnology · 2022Review
- Phenotypic convergence of bacterial adaption to sub-lethal antibiotic treatment.Frontiers in cellular and infection microbiology · 2022Article
- Reverse engineering of fatty acid-tolerant Escherichia coli identifies design strategies for robust microbial cell factories.Metabolic engineering · 2020Article
- Article
- Diversity inFrontiers in microbiology · 2020Review
- Experimental Challenges for Reduced Genomes: The Cell ModelMicroorganisms · 2019Review
- Adaptive laboratory evolution of a genome-reduced Escherichia coli.Nature communications · 2019Article
- Understanding and engineering alcohol-tolerant bacteria using OMICS technology.World journal of microbiology & biotechnology · 2018Review
- Experimental Design, Population Dynamics, and Diversity in Microbial Experimental Evolution.Microbiology and molecular biology reviews : MMBR · 2018Review
- A Recurrent Silent Mutation Implicates fecA in Ethanol Tolerance by Escherichia coli.BMC microbiology · 2018Article
- Time-programmable drug dosing allows the manipulation, suppression and reversal of antibiotic drug resistance in vitro.Nature communications · 2017Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBacterial cells have a remarkable ability to adapt to environmental changes, a phenomenon known as adaptive evolution. During adaptive evolution, phenotype and genotype dynamically changes; however, the relationship between these changes and associated constraints is yet to be fully elucidated.
resultsIn this study, we analyzed phenotypic and genotypic changes in Escherichia coli cells during adaptive evolution to ethanol stress. Phenotypic changes were quantified by transcriptome and metabolome analyses and were similar among independently evolved ethanol tolerant populations, which indicate the existence of evolutionary constraints in the dynamics of adaptive evolution. Furthermore, the contribution of identified mutations in one of the tolerant strains was evaluated using site-directed mutagenesis. The result demonstrated that the introduction of all identified mutations cannot fully explain the observed tolerance in the tolerant strain.
conclusionsThe results demonstrated that the convergence of adaptive phenotypic changes and diverse genotypic changes, which suggested that the phenotype-genotype mapping is complex. The integration of transcriptome and genome data provides a quantitative understanding of evolutionary constraints.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.