Evidence map›Paper›PMID 29686236›Full record

ArticleNature ecology & evolution2018

Identifying and exploiting genes that potentiate the evolution of antibiotic resistance.

Danna R Gifford, Victoria Furió, Andrei Papkou, Tom Vogwill, Antonio Oliver, R Craig MacLean

Open access · greenAbstract read
In one paragraph

Article in Nature ecology & evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

39 citing papers in PubMed, 64 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Adaptive evolution ofMicrobial genomics · 2026
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Progression ofmBio · 2025
    Article
  15. Article
  16. Microbiology (Reading, England) · 2025
    Review
  17. Article
  18. Review
  19. Article
  20. 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

6 authors at 2 institutions in 2 countries.

Danna R GiffordDepartment of Zoology, University of Oxford, Oxford, UK. danna.gifford@manchester.ac.uk.ORCID http://orcid.org/0000-0002-4990-8816
Victoria FurióDepartment of Zoology, University of Oxford, Oxford, UK.
Andrei PapkouDepartment of Zoology, University of Oxford, Oxford, UK.
Tom VogwillDepartment of Zoology, University of Oxford, Oxford, UK.
Antonio OliverServicio de Microbiología and Unidad de Investigación, Hospital Universitario Son Espases Instituto de Investigación Sanitaria de Palma, Palma de Mallorca, Spain.
R Craig MacLeanDepartment of Zoology, University of Oxford, Oxford, UK. craig.maclean@zoo.ox.ac.uk.ORCID http://orcid.org/0000-0002-7941-813X
University of Oxford · GBHospital Universitario Son Espases · ES

Funding

European Research Council 281591Medical Research Council MR/R024936/1Wellcome Trust
6 · The paper itself

Abstract

There is an urgent need to develop novel approaches for predicting and preventing the evolution of antibiotic resistance. Here, we show that the ability to evolve de novo resistance to a clinically important β-lactam antibiotic, ceftazidime, varies drastically across the genus Pseudomonas. This variation arises because strains possessing the ampR global transcriptional regulator evolve resistance at a high rate. This does not arise because of mutations in ampR. Instead, this regulator potentiates evolution by allowing mutations in conserved peptidoglycan biosynthesis genes to induce high levels of β-lactamase expression. Crucially, blocking this evolutionary pathway by co-administering ceftazidime with the β-lactamase inhibitor avibactam can be used to eliminate pathogenic P. aeruginosa populations before they can evolve resistance. In summary, our study shows that identifying potentiator genes that act as evolutionary catalysts can be used to both predict and prevent the evolution of antibiotic resistance.

Indexed as

Evolution, MolecularAnti-Bacterial AgentsAzabicyclo Compoundsbeta-Lactamase InhibitorsCeftazidimeDrug Resistance, MicrobialGenes, BacterialPseudomonas aeruginosaAnti-Bacterial AgentsavibactamAzabicyclo Compoundsbeta-Lactamase InhibitorsCeftazidime

Identifiers

PMID29686236
PMCPMC5985954
OpenAlexW2802886566

What OpenQuestion holds

Textmetadata
LicenceTDM
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.