Evidence map›Paper›PMID 42547839›Full record

ArticleNature ecology & evolution2026

The shape of fitness functions and the distribution of mutational effect sizes jointly limit adaptation by regulatory mutations.

Simon Aubé, Alexandre K Dubé, Christian R Landry

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Article in Nature ecology & evolution, 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
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0citing papers in PubMed
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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

3 authors.

Simon AubéDépartement de Biochimie, Microbiologie et Bio-informatique, Université Laval, Québec, Québec, Canada. simon.aube.2@ulaval.ca.ORCID http://orcid.org/0000-0002-7078-6227
Alexandre K DubéDépartement de Biochimie, Microbiologie et Bio-informatique, Université Laval, Québec, Québec, Canada.
Christian R LandryDépartement de Biochimie, Microbiologie et Bio-informatique, Université Laval, Québec, Québec, Canada. christian.landry@bio.ulaval.ca.ORCID http://orcid.org/0000-0003-3028-6866

Funding

Gouvernement du Canada | Natural Sciences and Engineering Research Council of Canada (Conseil de Recherches en Sciences Naturelles et en Génie du Canada) NSERC RGPIN-2020-04844Human Frontier Science Program (HFSP) HFSP RGP011/2025
6 · The paper itself

Abstract

Mutations in gene regulatory regions have been shown to play a role in rapid adaptation, but the factors determining their contribution are largely unknown. Here, using the metabolic enzyme cytosine deaminase of budding yeast, we examine whether adaptation to 5-fluorocytosine, which requires reduced cytosine deamination and can readily arise from amino acid substitutions, may be reached by single promoter mutations. We generated all single-nucleotide substitutions and indels in the FCY1 promoter and assayed the resulting mutants in presence of 5-fluorocytosine. This revealed that no promoter mutation is sufficient for adaptation to occur. We next investigated how this inaccessibility of adaptation arises by combining large-scale expression measurements with the experimental characterization of the corresponding expression-fitness function. These experiments showed that the shape of this function precludes single promoter mutations from being adaptive. Although 24% of mutations significantly affect expression, the fitness curve is flat around wild-type level. As such, adaptation can only emerge from a severe reduction of expression, which cannot occur from a single mutation in the promoter. Our results show that the contribution of regulatory mutations to rapid adaptation depends not only on the distribution of mutational effect sizes on expression level but also on the shape of the function linking fitness to expression levels.

Indexed as

Adaptation, PhysiologicalCytosine DeaminaseGenetic FitnessMutationSaccharomyces cerevisiaeFlucytosinePromoter Regions, GeneticCytosine DeaminaseFlucytosine

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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.