Evidence map›Paper›PMID 42270780›Full record

ReviewEMBO reports2026

Molecular evolution in light of regulatory-coding epistasis.

Pavithra Venkataraman, Christian R Landry

Abstract readReview
In one paragraph

Review in EMBO reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Pavithra VenkataramanDépartement de biochimie, de microbiologie et de bio-informatique, Faculté des sciences et de génie, Université Laval, Québec, G1V 0A6, QC, Canada. pavithra.venkataraman.1@ulaval.ca.ORCID 0000-0001-9352-5348
Christian R LandryDépartement de biochimie, de microbiologie et de bio-informatique, Faculté des sciences et de génie, Université Laval, Québec, G1V 0A6, QC, Canada. Christian.landry@bio.ulaval.ca.ORCID 0000-0003-3028-6866

Funding

Human Frontier Science Program (HFSP) HFSP-RGP011/2025Natural Sciences and Engineering Research Council of Canada (NSERC) NSERC RGPIN-2020-04844
6 · The paper itself

Abstract

Predicting the fitness effects of mutations is central to understanding molecular evolution and interpreting genome sequence data. Such predictions remain challenging due to the inter-dependent roles of coding and non-coding genetic variation. While coding mutations alter protein structure, stability, activity, and sometimes abundance, regulatory mutations modulate gene expression timing and levels. Because coding and regulatory variation are thought to independently impact features of protein function, their combined effects or complex phenotypes are often unexpected. In particular, regulatory-coding epistasis, whereby the fitness effect of a coding mutation depends on the regulatory background, can reshape fitness landscapes and influence adaptive trajectories. In this review, we explore how variation in protein abundance and activity jointly shape fitness, constrain adaptation, and impact molecular evolution. Drawing on examples from systematic studies carried out in unicellular organisms, we speculate on a fitness function integrating abundance and activity and discuss the broader implications of these interactions for evolutionary dynamics, genetic disease, and phenotypic diversity.

Indexed as

Epistasis, GeneticEvolution, MolecularAnimalsGenetic FitnessHumansMutationPhenotype

Identifiers

PMID42270780
PMCPMC13354797

What OpenQuestion holds

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Registered trials

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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.