Evidence map›Paper›PMID 26640520›Full record

ArticleEvolutionary applications2015

Temporal variation in antibiotic environments slows down resistance evolution in pathogenic Pseudomonas aeruginosa.

Roderich Roemhild, Camilo Barbosa, Robert E Beardmore, Gunther Jansen, Hinrich Schulenburg

Open access · goldAbstract read
In one paragraph

Article in Evolutionary applications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

35 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Clinical microbiology reviews · 2025
    Review
  5. Review
  6. Article
  7. Article
  8. Sequential antibiotic therapy in the laboratory and in the patient.Journal of the Royal Society, Interface · 2023
    Article
  9. Article
  10. Review
  11. The cost of evolved constitutiveEcology and evolution · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. Evolution in alternating environments with tunable interlandscape correlations.Evolution; international journal of organic evolution · 2021
    Article
  16. Article
  17. Reciprocal antibiotic collateral sensitivity in Burkholderia multivorans.International journal of antimicrobial agents · 2020
    Article
  18. Microbial drug resistance (Larchmont, N.Y.) · 2020
    Article
  19. Review
  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

5 authors at 2 institutions in 2 countries.

Roderich RoemhildEvolutionary Ecology and Genetics, University of Kiel Kiel, Germany.
Camilo BarbosaEvolutionary Ecology and Genetics, University of Kiel Kiel, Germany.
Robert E BeardmoreBiosciences, Geoffrey Pope Building, University of Exeter Exeter, UK.
Gunther JansenEvolutionary Ecology and Genetics, University of Kiel Kiel, Germany.
Hinrich SchulenburgEvolutionary Ecology and Genetics, University of Kiel Kiel, Germany.
Kiel University · DEUniversity of Exeter · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic resistance is a growing concern to public health. New treatment strategies may alleviate the situation by slowing down the evolution of resistance. Here, we evaluated sequential treatment protocols using two fully independent laboratory-controlled evolution experiments with the human pathogen Pseudomonas aeruginosa PA14 and two pairs of clinically relevant antibiotics (doripenem/ciprofloxacin and cefsulodin/gentamicin). Our results consistently show that the sequential application of two antibiotics decelerates resistance evolution relative to monotherapy. Sequential treatment enhanced population extinction although we applied antibiotics at sublethal dosage. In both experiments, we identified an order effect of the antibiotics used in the sequential protocol, leading to significant variation in the long-term efficacy of the tested protocols. These variations appear to be caused by asymmetric evolutionary constraints, whereby adaptation to one drug slowed down adaptation to the other drug, but not vice versa. An understanding of such asymmetric constraints may help future development of evolutionary robust treatments against infectious disease.

Indexed as

antibiotic cyclingantibiotic resistancecollateral sensitivityexperimental evolutionPseudomonas aeruginosasequential therapytemporal variation

Identifiers

PMID26640520
PMCPMC4662347
OpenAlexW2164112091

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.