ArticleJournal of the Royal Society, Interface2020
Using small samples to estimate neutral component size and robustness in the genotype-phenotype map of RNA secondary structure.
Article in Journal of the Royal Society, Interface, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 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.
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Who cites it
9 citing papers in PubMed.
- A simple model captures key characteristics of biological non-deterministic genotype-phenotype maps.PLoS computational biology · 2026Article
- Article
- Bias in the arrival of variation can dominate over natural selection in Richard Dawkins's biomorphs.PLoS computational biology · 2024Article
- The Boltzmann distributions of molecular structures predict likely changes through random mutations.Biophysical journal · 2023Article
- Predicting phenotype transition probabilities via conditional algorithmic probability approximations.Journal of the Royal Society, Interface · 2022Article
- Fast free-energy-based neutral set size estimates for the RNA genotype-phenotype map.Journal of the Royal Society, Interface · 2022Article
- Insertions and deletions in the RNA sequence-structure map.Journal of the Royal Society, Interface · 2021Article
- On the evolution and development of morphological complexity: A view from gene regulatory networks.PLoS computational biology · 2021Article
- Neutral components show a hierarchical community structure in the genotype-phenotype map of RNA secondary structure.Journal of the Royal Society, Interface · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In genotype-phenotype (GP) maps, the genotypes that map to the same phenotype are usually not randomly distributed across the space of genotypes, but instead are predominantly connected through one-point mutations, forming network components that are commonly referred to as neutral components (NCs). Because of their impact on evolutionary processes, the characteristics of these NCs, like their size or robustness, have been studied extensively. Here, we introduce a framework that allows the estimation of NC size and robustness in the GP map of RNA secondary structure. The advantage of this framework is that it only requires small samples of genotypes and their local environment, which also allows experimental realizations. We verify our framework by applying it to the exhaustively analysable GP map of RNA sequence length
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