Evidence map›Paper›PMID 42521667›Full record

ArticleNature communications2026

Function-specific epistasis shapes evolutionary trajectories towards antibiotic resistance.

Gabriela Petrungaro, Theresa Fink, Booshini Fernando, Gerrit Ansmann, Tobias Bollenbach

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. 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

5 authors.

Gabriela PetrungaroInstitute for Biological Physics, University of Cologne, Cologne, Germany. gpetrung@uni-koeln.de.ORCID 0009-0003-6553-4193
Theresa FinkInstitute for Biological Physics, University of Cologne, Cologne, Germany.
Booshini FernandoInstitute for Biological Physics, University of Cologne, Cologne, Germany.
Gerrit AnsmannInstitute for Biological Physics, University of Cologne, Cologne, Germany.ORCID 0000-0002-5472-7067
Tobias BollenbachInstitute for Biological Physics, University of Cologne, Cologne, Germany. t.bollenbach@uni-koeln.de.ORCID 0000-0003-4398-476X

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) CRC 1310
6 · The paper itself

Abstract

Pre-existing mutations can influence subsequent evolution by constraining or opening evolutionary pathways through epistatic interactions. In some cases, global epistasis allows evolutionary pathways to be predicted from the fitness of the genetic background alone. In other cases, idiosyncratic epistasis makes evolution less predictable. Here, we show that the evolution of antibiotic resistance is highly repeatable, following a common path across most genetic backgrounds. However, a minority of genetic backgrounds exhibit evolutionary trajectories that significantly deviate from this common path. Rather than being predictable from global epistasis, these deviations are modulated by function-specific epistasis: perturbations to specific cellular functions lead to novel evolutionary trajectories towards resistance. Using tightly controlled robotic evolution experiments, we quantitatively analyzed resistance trajectories for three clinically relevant antibiotics across multiple genetic backgrounds, including hundreds of Escherichia coli gene-deletion strains and several clinical isolates from urinary-tract infections. We show that disrupting distinct sets of cellular functions alters evolutionary trajectories for specific drugs and across different drugs, and we identify genetic changes defining these alternative trajectories. Importantly, this function-specific epistasis often slows down resistance evolution. Some of these effects can also be induced by small-molecule inhibitors of the identified targets, suggesting that function-specific epistasis can be exploited to improve drug treatments.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialDrug Resistance, MicrobialEpistasis, GeneticEscherichia coliEvolution, MolecularMutationAnti-Bacterial Agents

Identifiers

PMID42521667
PMCPMC13415927

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.