Evidence map›Paper›PMID 32561723›Full record

ArticleNature communications2020

Highly parallel lab evolution reveals that epistasis can curb the evolution of antibiotic resistance.

Marta Lukačišinová, Booshini Fernando, Tobias Bollenbach

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
3.9field-weighted citation impact, top 5% of its field
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

56 citing papers in PubMed, 82 citations in OpenAlex.

  1. Review
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  8. Proteostasis-targeted antibacterial strategies.Journal of microbiology (Seoul, Korea) · 2026
    Review
  9. Review
  10. Article
  11. Macrolide resistance trajectories across threeFrontiers in microbiology · 2026
    Article
  12. Review
  13. Article
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  15. Evolution under vancomycin selection drives divergent collateral sensitivity patterns inProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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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 at 2 institutions in 3 countries.

Marta LukačišinováUniversity of Cologne, Institute for Biological Physics, Zülpicher Straße 77, 50937, Cologne, Germany.ORCID http://orcid.org/0000-0002-2519-8004
Booshini FernandoUniversity of Cologne, Institute for Biological Physics, Zülpicher Straße 77, 50937, Cologne, Germany.
Tobias BollenbachUniversity of Cologne, Institute for Biological Physics, Zülpicher Straße 77, 50937, Cologne, Germany. t.bollenbach@uni-koeln.de.ORCID http://orcid.org/0000-0003-4398-476X
University of Cologne · DEInstitute of Science and Technology Austria · AT

Funding

Austrian Science Fund FWF P 27201
6 · The paper itself

Abstract

Genetic perturbations that affect bacterial resistance to antibiotics have been characterized genome-wide, but how do such perturbations interact with subsequent evolutionary adaptation to the drug? Here, we show that strong epistasis between resistance mutations and systematically identified genes can be exploited to control spontaneous resistance evolution. We evolved hundreds of Escherichia coli K-12 mutant populations in parallel, using a robotic platform that tightly controls population size and selection pressure. We find a global diminishing-returns epistasis pattern: strains that are initially more sensitive generally undergo larger resistance gains. However, some gene deletion strains deviate from this general trend and curtail the evolvability of resistance, including deletions of genes for membrane transport, LPS biosynthesis, and chaperones. Deletions of efflux pump genes force evolution on inferior mutational paths, not explored in the wild type, and some of these essentially block resistance evolution. This effect is due to strong negative epistasis with resistance mutations. The identified genes and cellular functions provide potential targets for development of adjuvants that may block spontaneous resistance evolution when combined with antibiotics.

Indexed as

Epistasis, GeneticAnti-Bacterial AgentsDirected Molecular EvolutionDrug Resistance, MicrobialEscherichia coli K12Gene DeletionGenes, BacterialSelection, GeneticAnti-Bacterial Agents

Identifiers

PMID32561723
PMCPMC7305214
OpenAlexW3036938770

What OpenQuestion 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 OpenQuestion graph.