Evidence map›Paper›PMID 41844643›Full record

ArticleNature communications2026

Origins and breadth of pairwise epistasis in an α-helix of β-lactamase TEM-1.

André Birgy, Clément Roussel, Harry Kemble, Jimmy Mullaert, Karine Panigoni, Audrey Chapron, Mélanie Magnan, Hervé Jacquier, Simona Cocco, Rémi Monasson and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

11 authors.

André Birgy *Infection Antimicrobials Modelling Evolution - IAME, Université Paris Cité, Université Sorbonne Paris Nord, INSERM, Paris, France.ORCID http://orcid.org/0000-0001-9462-0582
Clément Roussel *Laboratoire de Physique de l'Ecole normale supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université Paris Cité, Paris, France.ORCID http://orcid.org/0000-0001-9318-6112
Harry KembleInfection Antimicrobials Modelling Evolution - IAME, Université Paris Cité, Université Sorbonne Paris Nord, INSERM, Paris, France.ORCID http://orcid.org/0000-0003-1480-5873
Jimmy MullaertInfection Antimicrobials Modelling Evolution - IAME, Université Paris Cité, Université Sorbonne Paris Nord, INSERM, Paris, France.
Karine PanigoniInfection Antimicrobials Modelling Evolution - IAME, Université Paris Cité, Université Sorbonne Paris Nord, INSERM, Paris, France.
Audrey ChapronInfection Antimicrobials Modelling Evolution - IAME, Université Paris Cité, Université Sorbonne Paris Nord, INSERM, Paris, France.
Mélanie MagnanInfection Antimicrobials Modelling Evolution - IAME, Université Paris Cité, Université Sorbonne Paris Nord, INSERM, Paris, France.
Hervé JacquierInfection Antimicrobials Modelling Evolution - IAME, Université Paris Cité, Université Sorbonne Paris Nord, INSERM, Paris, France.
Simona CoccoLaboratoire de Physique de l'Ecole normale supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université Paris Cité, Paris, France.ORCID http://orcid.org/0000-0002-1852-7789
Rémi MonassonLaboratoire de Physique de l'Ecole normale supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université Paris Cité, Paris, France.ORCID http://orcid.org/0000-0002-4459-0204
Olivier TenaillonInfection Antimicrobials Modelling Evolution - IAME, Université Paris Cité, Université Sorbonne Paris Nord, INSERM, Paris, France. olivier.tenaillon@inserm.fr.ORCID http://orcid.org/0000-0002-3796-1601

Funding

Agence Nationale de la Recherche (French National Research Agency) ANR-20-PAMR-0002Agence Nationale de la Recherche (French National Research Agency) CE30-0021-01EC | EC Seventh Framework Programm | FP7 Ideas: European Research Council (FP7-IDEAS-ERC - Specific Programme: "Ideas" Implementing the Seventh Framework Programme of the European Community for Research, Technological Development and Demonstration Activities (2007 to 2013)) 310944Fondation pour la Recherche Médicale (Foundation for Medical Research in France) EQU201903007848
6 · The paper itself

Abstract

The effect of mutations in a protein may depend on the presence of others-a phenomenon known as epistasis. Epistasis plays a key role in evolution and complicates predictions of mutational effects, as effects can be context-dependent. Yet, despite its importance, the mechanistic basis of epistasis remains poorly understood. To better characterize epistasis, we focused on an 11-residue α-helix in TEM-1 β-lactamase and constructed a comprehensive library of over 14,000 double mutants. Fitness and minimum inhibitory concentration, two contrasted measure of protein efficiency, reveal consistent widespread epistasis. A non-linear two-state protein stability model in which destabilizing, neutral, or stabilizing mutations contribute additively to the stability phenotype, largely explain the data. Most epistatic effects are consequently predictable from single-mutation effects. However, systematic deviations from the model occur when both mutated residues directly interact in the 3D structure-a fold conserved across distant TEM-1 homologs. We therefore investigated the predictive power of statistical models trained on distant homologous sequences and found that they could partially recover the observed epistatic interactions. Our results, built on a short structural element of a protein, shed light on multiple determinants of the epistatic landscape that have shaped the evolutionary trajectory of β-lactamase proteins over long timescales.

Indexed as

beta-LactamasesEpistasis, GeneticEscherichia coliEvolution, MolecularModels, MolecularMutationProtein Conformation, alpha-Helicalbeta-Lactamasesbeta-lactamase TEM-1

Identifiers

PMID41844643
PMCPMC13144301

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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.