ReviewJournal of the Royal Society, Interface2017
Taking chances and making mistakes: non-genetic phenotypic heterogeneity and its consequences for surviving in dynamic environments.
Review in Journal of the Royal Society, Interface, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
45 citing papers in PubMed.
- Population size modulates the transition from gene amplification-mediated heteroresistance to stable resistance.npj antimicrobials and resistance · 2026Article
- Stress-Driven Tolerance and Persistence ofBiology · 2026Review
- Spatial Transcriptomics Decodes Breast Cancer Microenvironment Heterogeneity: From Multidimensional Dynamic Profiling to Precision Therapy Blueprint Construction.Biomolecules · 2025Review
- The Role of Phenotypic Plasticity and Within-Environment Trait Variability in the Assembly of the Nectar Microbiome and Plant-Microbe-Animal Interactions.Ecology and evolution · 2025Review
- Bacteriophage Treatment Induces Phenotype Switching and Alters Antibiotic Resistance of ESBLAntibiotics (Basel, Switzerland) · 2025Article
- Increased prevalence of hybrid epithelial/mesenchymal state and enhanced phenotypic heterogeneity in basal breast cancer.iScience · 2024Article
- Optimal phenotypic adaptation in fluctuating environments.Biophysical journal · 2023Article
- Theoretical and computational tools to model multistable gene regulatory networks.Reports on progress in physics. Physical Society (Great Britain) · 2023Review
- Article
- Genomes comparison of two Proteus mirabilis clones showing varied swarming ability.Molecular biology reports · 2023Article
- Not Quite Lost in Translation: Mistranslation Alters Adaptive Landscape Topography and the Dynamics of Evolution.Molecular biology and evolution · 2023Article
- Case Studies in the Assessment of Microbial Fitness: Seemingly Subtle Changes Can Have Major Effects on Phenotypic Outcomes.Journal of molecular evolution · 2023Article
- A lineage tree-based hidden Markov model quantifies cellular heterogeneity and plasticity.Communications biology · 2022Article
- Dynamics of hepatocyte-cholangiocyte cell-fate decisions during liver development and regeneration.iScience · 2022Article
- Selection in a growing colony biases results of mutation accumulation experiments.Scientific reports · 2022Article
- Diversity of bet-hedging strategies in microbial communities-Recent cases and insights.WIREs mechanisms of disease · 2022Review
- Review
- Transient Antibiotic Tolerance Triggered by Nutrient Shifts From Gluconeogenic Carbon Sources to Fatty Acid.Frontiers in microbiology · 2022Article
- Memory shapes microbial populations.PLoS computational biology · 2021Article
- Multi-omic Characterization of Intraspecies Variation in Laboratory and Natural Environments.mSystems · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Natural selection has shaped the strategies for survival and growth of microorganisms. The success of microorganisms depends not only on slow evolutionary tuning but also on the ability to adapt to unpredictable changes in their environment. In principle, adaptive strategies range from purely deterministic mechanisms to those that exploit the randomness intrinsic to many cellular and molecular processes. Depending on the environment and selective pressures, particular strategies can lie somewhere along this continuum. In recent years, non-genetic cell-to-cell differences have received a lot of attention, not least because of their potential impact on the ability of microbial populations to survive in dynamic environments. Using several examples, we describe the origins of spontaneous and induced mechanisms of phenotypic adaptation. We identify some of the commonalities of these examples and consider the potential role of chance and constraints in microbial phenotypic adaptation.
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Registered trials
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.