ArticleProceedings of the National Academy of Sciences of the United States of America2019
Environment-to-phenotype mapping and adaptation strategies in varying environments.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
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- Phenotypic heterogeneity in lag reflects an evolutionarily stable bet-hedging strategy.bioRxiv : the preprint server for biology · 2025Article
- Information and fitness in two-state systems: self-replicating individuals in a fluctuating environment.ArXiv · 2025Article
- Changes in DNA methylation contribute to rapid adaptation in bacterial plant pathogen evolution.PLoS biology · 2024Article
- Adopting Mechanistic Molecular Biology Approaches in Exposome Research for Causal Understanding.Environmental science & technology · 2024Review
- Individual variation in thermally induced plasticity of metabolic rates: ecological and evolutionary implications for a warming world.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- Heterogeneity in maternal mRNAs within clutches of eggs in response to thermal stress during the embryonic stage.BMC ecology and evolution · 2024Article
- Perspectives on computational modeling of biological systems and the significance of the SysMod community.Bioinformatics advances · 2024Article
- Integration of (S)-2,3-oxidosqualene enables E. coli to become Iron Man E. coli with improved overall tolerance.Biotechnology for biofuels and bioproducts · 2023Article
- Plasticity-led evolution as an intrinsic property of developmental gene regulatory networks.Scientific reports · 2023Article
- Canalisation and plasticity on the developmental manifold of Caenorhabditis elegans.Molecular systems biology · 2023Article
- Phylogenetic signal in gut microbial community rather than in rodent metabolic traits.National science review · 2023Article
- Phenotypic variation in the molt characteristics of a seasonal coat color-changing species reveals limited resilience to climate change.Oecologia · 2023Article
- Larval zebrafish as a model for studying individual variability in translational neuroscience research.Frontiers in behavioral neuroscience · 2023Review
- Development under predation risk increases serotonin-signaling, variability of turning behavior and survival in adult fruit fliesFrontiers in behavioral neuroscience · 2023Article
- Safety Evaluation ofMicroorganisms · 2022Article
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3 authors.
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Abstract
Biological organisms exhibit diverse strategies for adapting to varying environments. For example, a population of organisms may express the same phenotype in all environments ("unvarying strategy") or follow environmental cues and express alternative phenotypes to match the environment ("tracking strategy"), or diversify into coexisting phenotypes to cope with environmental uncertainty ("bet-hedging strategy"). We introduce a general framework for studying how organisms respond to environmental variations, which models an adaptation strategy by an abstract mapping from environmental cues to phenotypic traits. Depending on the accuracy of environmental cues and the strength of natural selection, we find different adaptation strategies represented by mappings that maximize the long-term growth rate of a population. The previously studied strategies emerge as special cases of our model: The tracking strategy is favorable when environmental cues are accurate, whereas when cues are noisy, organisms can either use an unvarying strategy or, remarkably, use the uninformative cue as a source of randomness to bet hedge. Our model of the environment-to-phenotype mapping is based on a network with hidden units; the performance of the strategies is shown to rely on having a high-dimensional internal representation, which can even be random.
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