ArticleGenetics2017
Genotypic Complexity of Fisher's Geometric Model.
Article in Genetics, 2017. 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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Who cites it
15 citing papers in PubMed, 39 citations in OpenAlex.
- Mount Fuji's stubby peak: the genotypic density of additive landscapes near maximal fitness.bioRxiv : the preprint server for biology · 2026Article
- Module-Selection Balance in the Evolution of Modular Organisms.bioRxiv : the preprint server for biology · 2026Article
- Functional bottlenecks can emerge from non-epistatic underlying traits.PLoS computational biology · 2026Article
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- Evolutionary rescue on genotypic fitness landscapes.Journal of the Royal Society, Interface · 2023Article
- On the incongruence of genotype-phenotype and fitness landscapes.PLoS computational biology · 2022Article
- Interpretable modeling of genotype-phenotype landscapes with state-of-the-art predictive power.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
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- Bacterial fitness landscapes stratify based on proteome allocation associated with discrete aero-types.PLoS computational biology · 2021Article
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- Unraveling the causes of adaptive benefits of synonymous mutations in TEM-1 β-lactamase.Heredity · 2018Article
- Coadapted genomes and selection on hybrids: Fisher's geometric model explains a variety of empirical patterns.Evolution letters · 2018Article
- Inferring the shape of global epistasis.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Adaptive benefits from small mutation supplies in an antibiotic resistance enzyme.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fisher's geometric model was originally introduced to argue that complex adaptations must occur in small steps because of pleiotropic constraints. When supplemented with the assumption of additivity of mutational effects on phenotypic traits, it provides a simple mechanism for the emergence of genotypic epistasis from the nonlinear mapping of phenotypes to fitness. Of particular interest is the occurrence of reciprocal sign epistasis, which is a necessary condition for multipeaked genotypic fitness landscapes. Here we compute the probability that a pair of randomly chosen mutations interacts sign epistatically, which is found to decrease with increasing phenotypic dimension
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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.