ArticleJournal of statistical physics2018
The Influence of Higher-Order Epistasis on Biological Fitness Landscape Topography.
Article in Journal of statistical physics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
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Who cites it
51 citing papers in PubMed.
- Review
- Deconstructing empirical fitness seascapes across scales of granularity.G3 (Bethesda, Md.) · 2026Article
- Inference of fitness landscapes with heterogeneous patterns of epistasis across sites.bioRxiv : the preprint server for biology · 2026Article
- On learning functions over biological sequence space: relating Gaussian process priors, regularization, and gauge fixing.Journal of mathematical biology · 2026Article
- Gene duplication is associated with gene diversification and potential neofunctionalization in lung cancer evolution.Genome research · 2026Article
- Deconstructing empirical fitness seascapes across scales of granularity.bioRxiv : the preprint server for biology · 2026Article
- Inference and Visualization of Complex Genotype-Phenotype Maps.Molecular biology and evolution · 2026Article
- Inference and visualization of complex genotype-phenotype maps withbioRxiv : the preprint server for biology · 2025Article
- Importance of higher-order epistasis in protein sequence-function relationships.bioRxiv : the preprint server for biology · 2025Article
- Interactions within higher-order antibiotic combinations do not influence the rate of adaptation in bacteria.Evolution; international journal of organic evolution · 2025Article
- Resolving discrepancies between chimeric and multiplicative measures of higher-order epistasis.Nature communications · 2025Article
- Bioengineering hybrid artificial life.Frontiers in bioinformatics · 2025Review
- Considerations in the search for epistasis.Genome biology · 2024Review
- The simplicity of protein sequence-function relationships.Nature communications · 2024Article
- Sampling Strategies for Experimentally Mapping Molecular Fitness Landscapes Using High-Throughput Methods.Journal of molecular evolution · 2024Article
- Article
- Article
- InterpretingNature machine intelligence · 2024Article
- Article
- Genotype sampling for deep-learning assisted experimental mapping of a combinatorially complete fitness landscape.Bioinformatics (Oxford, England) · 2024Article
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4 authors.
Funding
Abstract
The effect of a mutation on the organism often depends on what other mutations are already present in its genome. Geneticists refer to such mutational interactions as epistasis. Pairwise epistatic effects have been recognized for over a century, and their evolutionary implications have received theoretical attention for nearly as long. However, pairwise epistatic interactions themselves can vary with genomic background. This is called higher-order epistasis, and its consequences for evolution are much less well understood. Here, we assess the influence that higher-order epistasis has on the topography of 16 published, biological fitness landscapes. We find that on average, their effects on fitness landscape declines with order, and suggest that notable exceptions to this trend may deserve experimental scrutiny. We conclude by highlighting opportunities for further theoretical and experimental work dissecting the influence that epistasis of all orders has on fitness landscape topography and on the efficiency of evolution by natural selection.
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