ReviewBMC biology2023
Epistasis and evolution: recent advances and an outlook for prediction.
Review in BMC biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
75 citing papers in PubMed.
- Article
- The distribution of fitness effects of nonsynonymous mutations varies phylogenetically across animals.PLoS biology · 2026Article
- From sites to structure to serology: a roadmap for structure-aware molecular evolution of antigenically evolving viruses.Journal of virology · 2026Review
- Epistatic impacts of cis- and trans-regulatory mutations on the distribution of mutational effects for gene expression in Saccharomyces cerevisiae.Molecular biology and evolution · 2026Article
- Incomplete functional divergence drives MADS-box gene synergy during floral development in tomato.PLoS biology · 2026Article
- High-precision binary trait association on phylogenetic trees.Microbial genomics · 2026Article
- Molecular evolution in light of regulatory-coding epistasis.EMBO reports · 2026Review
- Genomic Offsets Predict Survival With Low Accuracy in a Marine Common Garden.Molecular ecology · 2026Article
- Inference of fitness landscapes with heterogeneous patterns of epistasis across sites.bioRxiv : the preprint server for biology · 2026Article
- Epistasis among clustered lineage-specific amino acid substitutions in the Drosophila Trio protein.PLoS genetics · 2026Article
- Multiple molecular and cellular properties jointly affect protein and site-specific evolutionary rates.bioRxiv : the preprint server for biology · 2026Article
- Evolutionary rate correlations reveal long-term co-evolutionary interactions inbioRxiv : 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
- Ecology of metagenomes: incorporating genotype-to-phenotype maps into ecological models.bioRxiv : the preprint server for biology · 2026Article
- Unifying theories in high-dimensional biophysics: approaches, challenges and opportunities.NPJ systems biology and applications · 2026Article
- Functional bottlenecks can emerge from non-epistatic underlying traits.PLoS computational biology · 2026Article
- Free energy perturbations in enzyme kinetic models reveal cryptic epistasis.PLoS computational biology · 2026Article
- Overcoming extrapolation challenges of deep learning by incorporating physics in protein sequence-function modeling.PLoS computational biology · 2026Article
- Epimutations: raw material for evolution?The EMBO journal · 2026Review
- Reducing the sensitivity of Halomonas sp. to oxygen availability through adaptive laboratory evolution.Microbial cell factories · 2026Article
15 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
As organisms evolve, the effects of mutations change as a result of epistatic interactions with other mutations accumulated along the line of descent. This can lead to shifts in adaptability or robustness that ultimately shape subsequent evolution. Here, we review recent advances in measuring, modeling, and predicting epistasis along evolutionary trajectories, both in microbial cells and single proteins. We focus on simple patterns of global epistasis that emerge in this data, in which the effects of mutations can be predicted by a small number of variables. The emergence of these patterns offers promise for efforts to model epistasis and predict evolution.
Indexed as
Identifiers
What Socratic holds
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.