ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2023
Transient mutation bias increases the predictability of evolution on an empirical genotype-phenotype landscape.
Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Bacterial mutation dynamics emerging insights into virulence evolution and drug resistance. A review study.Frontiers in medicine · 2026Review
- Mutation bias and adaptation in bacteria.Microbiology (Reading, England) · 2023Review
- Mutational hotspots lead to robust but suboptimal adaptive outcomes in certain environments.Microbiology (Reading, England) · 2023Article
- Interdisciplinary approaches to predicting evolutionary biology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Article
- Transient mutation bias increases the predictability of evolution on an empirical genotype-phenotype landscape.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Article
- Phenotypic shifts induced by environmental pre-stressors modify antibiotic resistance inFrontiers in microbiology · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Predicting how a population will likely navigate a genotype-phenotype landscape requires consideration of selection in combination with mutation bias, which can skew the likelihood of following a particular trajectory. Strong and persistent directional selection can drive populations to ascend toward a peak. However, with a greater number of peaks and more routes to reach them, adaptation inevitably becomes less predictable. Transient mutation bias, which operates only on one mutational step, can influence landscape navigability by biasing the mutational trajectory early in the adaptive walk. This sets an evolving population upon a particular path, constraining the number of accessible routes and making certain peaks and routes more likely to be realized than others. In this work, we employ a model system to investigate whether such transient mutation bias can reliably and predictably place populations on a mutational trajectory to the strongest selective phenotype or usher populations to realize inferior phenotypic outcomes. For this we use motile mutants evolved from ancestrally non-motile variants of the microbe
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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 Socratic graph.