ArticleJournal of the Royal Society, Interface2018
Phenotypes can be robust and evolvable if mutations have non-local effects on sequence constraints.
Article in Journal of the Royal Society, Interface, 2018. 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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15 citing papers in PubMed, 27 citations in OpenAlex.
- A simple model captures key characteristics of biological non-deterministic genotype-phenotype maps.PLoS computational biology · 2026Article
- Predicting the topography of fitness landscapes from the structure of genotype-phenotype maps.Genetics · 2026Article
- Article
- Non-Poissonian Bursts in the Arrival of Phenotypic Variation Can Strongly Affect the Dynamics of Adaptation.Molecular biology and evolution · 2024Article
- Bias in the arrival of variation can dominate over natural selection in Richard Dawkins's biomorphs.PLoS computational biology · 2024Article
- Bias in the arrival of variation can dominate over natural selection in Richard Dawkins's biomorphs.PLoS computational biology · 2024Article
- The non-deterministic genotype-phenotype map of RNA secondary structure.Journal of the Royal Society, Interface · 2023Article
- Maximum mutational robustness in genotype-phenotype maps follows a self-similar blancmange-like curve.Journal of the Royal Society, Interface · 2023Article
- Predicting phenotype transition probabilities via conditional algorithmic probability approximations.Journal of the Royal Society, Interface · 2022Article
- The structure of genotype-phenotype maps makes fitness landscapes navigable.Nature ecology & evolution · 2022Article
- Phenotype Bias Determines How Natural RNA Structures Occupy the Morphospace of All Possible Shapes.Molecular biology and evolution · 2022Article
- Gene duplication and subsequent diversification strongly affect phenotypic evolvability and robustness.Royal Society open science · 2021Article
- On the evolution and development of morphological complexity: A view from gene regulatory networks.PLoS computational biology · 2021Article
- Using small samples to estimate neutral component size and robustness in the genotype-phenotype map of RNA secondary structure.Journal of the Royal Society, Interface · 2020Article
- Model genotype-phenotype mappings and the algorithmic structure of evolution.Journal of the Royal Society, Interface · 2019Article
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Authors and funding
2 authors at 1 institution in 1 country.
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Abstract
The mapping between biological genotypes and phenotypes plays an important role in evolution, and understanding the properties of this mapping is crucial to determine the outcome of evolutionary processes. One of the most striking properties observed in several genotype-phenotype (GP) maps is the positive correlation between the robustness and evolvability of phenotypes. This implies that a phenotype can be strongly robust against mutations and at the same time evolvable to a diverse range of alternative phenotypes. Here, we examine the causes for this positive correlation by introducing two analytically tractable GP map models that follow the principles of real biological GP maps. The first model is based on gene-like GP maps, reflecting the way in which genetic sequences are organized into protein-coding genes, and the second one is based on the GP map of RNA secondary structure. For both models, we find that a positive correlation between phenotype robustness and evolvability only emerges if mutations at one sequence position can have non-local effects on the sequence constraints at another position. This highlights that non-local effects of mutations are closely related to the coexistence of robustness and evolvability in phenotypes, and are likely to be an important feature of many biological GP maps.
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