Evidence map›Paper›PMID 32931584›Full record

ArticleMolecular biology and evolution2021

The Genomic Basis of Rapid Adaptation to Antibiotic Combination Therapy in Pseudomonas aeruginosa.

Camilo Barbosa, Niels Mahrt, Julia Bunk, Matthias Graßer, Philip Rosenstiel, Gunther Jansen, Hinrich Schulenburg

Open access · hybridAbstract readComparative Study
In one paragraph

Article in Molecular biology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

16 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Adaptive microevolution in CC17Frontiers in cellular and infection microbiology · 2026
    Article
  4. Review
  5. Genome and transcriptomic analysis of the adaptation ofComputational and structural biotechnology journal · 2024
    Review
  6. Antimicrobial agents and chemotherapy · 2024
    Article
  7. Article
  8. Antibacterial activity of metal-phenanthroline complexes against multidrug-resistant Irish clinical isolates: a whole genome sequencing approach.Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry · 2023
    Article
  9. Article
  10. Article
  11. Antibiotic Resistance in Pseudomonas.Advances in experimental medicine and biology · 2022
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
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

7 authors at 3 institutions in 2 countries.

Camilo BarbosaDepartment of Evolutionary Ecology and Genetics, University of Kiel, Kiel, Germany.
Niels MahrtDepartment of Evolutionary Ecology and Genetics, University of Kiel, Kiel, Germany.
Julia BunkDepartment of Evolutionary Ecology and Genetics, University of Kiel, Kiel, Germany.
Matthias GraßerDepartment of Evolutionary Ecology and Genetics, University of Kiel, Kiel, Germany.
Philip RosenstielInstitute of Clinical Molecular Biology, UKSH, Kiel, Germany.
Gunther JansenDepartment of Evolutionary Ecology and Genetics, University of Kiel, Kiel, Germany.
Hinrich SchulenburgDepartment of Evolutionary Ecology and Genetics, University of Kiel, Kiel, Germany.
Christian-Albrechts-Universität zu Kiel · DEInstitute of Molecular Biology · DERoche (Switzerland) · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Combination therapy is a common antibiotic treatment strategy that aims at minimizing the risk of resistance evolution in several infectious diseases. Nonetheless, evidence supporting its efficacy against the nosocomial opportunistic pathogen Pseudomonas aeruginosa remains elusive. Identification of the possible evolutionary paths to resistance in multidrug environments can help to explain treatment outcome. For this purpose, we here performed whole-genome sequencing of 127 previously evolved populations of P. aeruginosa adapted to sublethal doses of distinct antibiotic combinations and corresponding single-drug treatments, and experimentally characterized several of the identified variants. We found that alterations in the regulation of efflux pumps are the most favored mechanism of resistance, regardless of the environment. Unexpectedly, we repeatedly identified intergenic variants in the adapted populations, often with no additional mutations and usually associated with genes involved in efflux pump expression, possibly indicating a regulatory function of the intergenic regions. The experimental analysis of these variants demonstrated that the intergenic changes caused similar increases in resistance against single and multidrug treatments as those seen for efflux regulatory gene mutants. Surprisingly, we could find no substantial fitness costs for a majority of these variants, most likely enhancing their competitiveness toward sensitive cells, even in antibiotic-free environments. We conclude that the regulation of efflux is a central target of antibiotic-mediated selection in P. aeruginosa and that, importantly, changes in intergenic regions may represent a usually neglected alternative process underlying bacterial resistance evolution, which clearly deserves further attention in the future.

Indexed as

Biological EvolutionGenome, BacterialAdaptation, BiologicalDNA, IntergenicDrug Resistance, Multiple, BacterialPseudomonas aeruginosaDNA, Intergenicantibiotic resistancecombination therapyefflux pumpsintergenic variantsPseudomonas aeruginosa

Identifiers

PMID32931584
PMCPMC7826179
OpenAlexW3087212628

What OpenQuestion holds

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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.