Evidence map›Paper›PMID 23356665›Full record

ArticleBMC evolutionary biology2013

The evolution of antibiotic susceptibility and resistance during the formation of Escherichia coli biofilms in the absence of antibiotics.

Jabus G Tyerman, José M Ponciano, Paul Joyce, Larry J Forney, Luke J Harmon

Abstract read
In one paragraph

Article in BMC evolutionary biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Clostridioides difficile Biofilm.Advances in experimental medicine and biology · 2024
    Article
  5. Serving Two Masters: Effect ofAntibiotics (Basel, Switzerland) · 2023
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Experimental evolution in biofilm populations.FEMS microbiology reviews · 2016
    Review
  16. Review
  17. 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.

Jabus G TyermanDepartment of Biological Sciences, University of Idaho, Campus Box 3051, Moscow, ID 83843, USA.
José M Ponciano
Paul Joyce
Larry J Forney
Luke J Harmon

Funding

The Evolution of Protein FlexibilityP20RR016448 · NCRR · UNIVERSITY OF IDAHO · PI ROBISON, BARRIE D · 2002 to 2011
$19.3M
Patterns of Adaptive EvolutionR01GM076040 · NIGMS · UNIVERSITY OF IDAHO · PI MILLER, CRAIG R, WICHMAN, HOLLY A · 2006 to 2021
$3.6M
NCRR NIH HHS P20RR16448NIGMS NIH HHS R01 GM076040
6 · The paper itself

Abstract

backgroundExplanations for bacterial biofilm persistence during antibiotic treatment typically depend on non-genetic mechanisms, and rarely consider the contribution of evolutionary processes.

resultsUsing Escherichia coli biofilms, we demonstrate that heritable variation for broad-spectrum antibiotic resistance can arise and accumulate rapidly during biofilm development, even in the absence of antibiotic selection.

conclusionsOur results demonstrate the rapid de novo evolution of heritable variation in antibiotic sensitivity and resistance during E. coli biofilm development. We suggest that evolutionary processes, whether genetic drift or natural selection, should be considered as a factor to explain the elevated tolerance to antibiotics typically observed in bacterial biofilms. This could be an under-appreciated mechanism that accounts why biofilm populations are, in general, highly resistant to antibiotic treatment.

Indexed as

Evolution, MolecularAnti-Bacterial AgentsBiofilmsDrug Resistance, Multiple, BacterialEscherichia coliMicrobial Sensitivity TestsPhenotypeAnti-Bacterial Agents

Identifiers

PMID23356665
PMCPMC3568021

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.