ArticleGenome research2005
Parallel adaptive evolution cultures of Escherichia coli lead to convergent growth phenotypes with different gene expression states.
Article in Genome research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 136 papers.
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Who cites it
136 citing papers in PubMed.
- Metabolite correlation networks reveal complex phenotypes of adaptation-driving mutations.Nature communications · 2026Article
- Repeatability of gene expression evolution in experimental environmental adaptation.Nature communications · 2026Article
- Advances in adaptive laboratory evolution applications forSynthetic and systems biotechnology · 2025Review
- Adaptive genetics reveals constraints on protein structure/function by evolving E. coli under constant nutrient limitation.BMC biology · 2025Article
- Acquired Radioresistance Through Adaptive Evolution with Gamma Radiation as Selection Pressure: Increased Expression and Induction of Anti-Stress Genes.International journal of molecular sciences · 2025Article
- Effects of resource packaging on the adaptative and pleiotropic consequences of evolution.NPJ systems biology and applications · 2025Article
- Resource presentation dictates genetic and phenotypic adaptation in yeast.BMC ecology and evolution · 2025Article
- Adaptation of the Mycobacterium tuberculosis transcriptome to biofilm growth.PLoS pathogens · 2024Article
- Convergent genetic adaptation ofFrontiers in molecular biosciences · 2024Article
- Genome Dynamics and Temperature Adaptation During Experimental Evolution of Obligate Intracellular Bacteria.Genome biology and evolution · 2023Article
- Shifts in mutation spectra enhance access to beneficial mutations.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Polygenic routes lead to parallel altitudinal adaptation in Heliosperma pusillum (Caryophyllaceae).Molecular ecology · 2023Article
- Accelerated Adaptive Laboratory Evolution by Automated Repeated Batch Processes in Parallelized Bioreactors.Microorganisms · 2023Article
- Adaptive laboratory evolution ofFrontiers in microbiology · 2023Article
- Integrating gene expression data into a genome-scale metabolic model to identify reprogramming during adaptive evolution.PloS one · 2023Article
- Analysis of the evolution of resistance to multiple antibiotics enables prediction of the Escherichia coli phenotype-based fitness landscape.PLoS biology · 2022Article
- Principles for the design of multicellular engineered living systems.APL bioengineering · 2022Article
- Adaptive laboratory evolution triggers pathogen-dependent broad-spectrum antimicrobial potency in Streptomyces.Journal, genetic engineering & biotechnology · 2022Article
- A mutational hotspot that determines highly repeatable evolution can be built and broken by silent genetic changes.Nature communications · 2021Article
- Reverse Plasticity Underlies Rapid Evolution by Clonal Selection within Populations of Fibroblasts Propagated on a Novel Soft Substrate.Molecular biology and evolution · 2021Article
76 more citing papers are in PubMed but not listed here.
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3 authors.
Funding
Abstract
Laboratory evolution can be used to address fundamental questions about adaptation to selection pressures and, ultimately, the process of evolution. In this study, we investigated the reproducibility of growth phenotypes and global gene expression states during adaptive evolution. The results from parallel, replicate adaptive evolution experiments of Escherichia coli K-12 MG1655 grown on either lactate or glycerol minimal media showed that (1) growth phenotypes at the endpoint of evolution are convergent and reproducible; (2) endpoints of evolution have different underlying gene expression states; and (3) the evolutionary gene expression response involves a large number of compensatory expression changes and a smaller number of adaptively beneficial expression changes common across evolution strains. Gene expression changes initially showed a large number of differentially expressed genes in response to an environmental change followed by a return of most genes to a baseline expression level, leaving a relatively small set of differentially expressed genes at the endpoint that varied between evolved populations.
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