ArticlePLoS computational biology2019
Evolving generalists in switching rugged landscapes.
Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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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.
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Who cites it
15 citing papers in PubMed, 40 citations in OpenAlex.
- The variability of evolvability: Properties of dynamic fitness landscapes determine how phenotypic variability evolves.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Dynamics of local B cell migration during affinity maturation in the human tonsil.bioRxiv : the preprint server for biology · 2025Article
- Epistatic hotspots organize antibody fitness landscape and boost evolvability.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Steering and controlling evolution - from bioengineering to fighting pathogens.Nature reviews. Genetics · 2023Review
- Graph 'texture' features as novel metrics that can summarize complex biological graphs.Physics in medicine and biology · 2023Article
- Bypassing evolutionary dead ends and switching the rate-limiting step of a human immunotherapeutic enzyme.Nature catalysis · 2022Article
- Experimental Evolution Expands the Breadth of Adaptation to an Environmental Gradient Correlated With Genome Reduction.Frontiers in microbiology · 2022Article
- Article
- Coevolutionary transitions emerging from flexible molecular recognition and eco-evolutionary feedback.iScience · 2021Article
- Roadmap on biology in time varying environments.Physical biology · 2021Review
- Mechanisms underlying vaccination protocols that may optimally elicit broadly neutralizing antibodies against highly mutable pathogens.Physical review. E · 2021Article
- Evolution in alternating environments with tunable interlandscape correlations.Evolution; international journal of organic evolution · 2021Article
- Review
- Article
- Tuning environmental timescales to evolve and maintain generalists.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Evolving systems, be it an antibody repertoire in the face of mutating pathogens or a microbial population exposed to varied antibiotics, constantly search for adaptive solutions in time-varying fitness landscapes. Generalists refer to genotypes that remain fit across diverse selective pressures; while multi-drug resistant microbes are undesired yet prevalent, broadly-neutralizing antibodies are much wanted but rare. However, little is known about under what conditions such generalists with a high capacity to adapt can be efficiently discovered by evolution. In addition, can epistasis-the source of landscape ruggedness and path constraints-play a different role, if the environment varies in a non-random way? We present a generative model to estimate the propensity of evolving generalists in rugged landscapes that are tunably related and alternating relatively slowly. We find that environmental cycling can substantially facilitate the search for fit generalists by dynamically enlarging their effective basins of attraction. Importantly, these high performers are most likely to emerge at intermediate levels of ruggedness and environmental relatedness. Our approach allows one to estimate correlations across environments from the topography of experimental fitness landscapes. Our work provides a conceptual framework to study evolution in time-correlated complex environments, and offers statistical understanding that suggests general strategies for eliciting broadly neutralizing antibodies or preventing microbes from evolving multi-drug resistance.
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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.