Evidence map›Paper›PMID 30837336›Full record

ArticlemBio2019

Changes in Intrinsic Antibiotic Susceptibility during a Long-Term Evolution Experiment with Escherichia coli.

Otmane Lamrabet, Mikaël Martin, Richard E Lenski, Dominique Schneider

Open access · goldAbstract read
In one paragraph

Article in mBio, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Genome and transcriptomic analysis of the adaptation ofComputational and structural biotechnology journal · 2024
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Market forces determine the distribution of a leaky function in a simple microbial community.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  15. Article
  16. Genomic evolution of antibiotic resistance is contingent on genetic background following a long-term experiment withProceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  17. Article
  18. 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

4 authors at 2 institutions in 2 countries.

Otmane LamrabetCentre National de la Recherche Scientifique (CNRS), Grenoble Institut National Polytechnique (INP), Techniques de l'Ingénierie Médicale et de la Complexité-Informatique, Mathématiques et Applications, Grenoble, (TIMC-IMAG), Université Grenoble Alpes, Grenoble, France.
Mikaël MartinCentre National de la Recherche Scientifique (CNRS), Grenoble Institut National Polytechnique (INP), Techniques de l'Ingénierie Médicale et de la Complexité-Informatique, Mathématiques et Applications, Grenoble, (TIMC-IMAG), Université Grenoble Alpes, Grenoble, France.
Richard E LenskiDepartment of Microbiology and Molecular Genetics, Michigan State University, East Lansing, Michigan, USA.ORCID 0000-0002-1064-8375
Dominique SchneiderCentre National de la Recherche Scientifique (CNRS), Grenoble Institut National Polytechnique (INP), Techniques de l'Ingénierie Médicale et de la Complexité-Informatique, Mathématiques et Applications, Grenoble, (TIMC-IMAG), Université Grenoble Alpes, Grenoble, France dominique.schneider@univ-grenoble-alpes.fr.
Centre National de la Recherche Scientifique · FRMichigan State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-level resistance often evolves when populations of bacteria are exposed to antibiotics, by either mutations or horizontally acquired genes. There is also variation in the intrinsic resistance levels of different bacterial strains and species that is not associated with any known history of exposure. In many cases, evolved resistance is costly to the bacteria, such that resistant types have lower fitness than their progenitors in the absence of antibiotics. Some longer-term studies have shown that bacteria often evolve compensatory changes that overcome these tradeoffs, but even those studies have typically lasted only a few hundred generations. In this study, we examine changes in the susceptibilities of 12 populations of

Indexed as

Biological EvolutionGenetic FitnessAnti-Bacterial AgentsEscherichia coliMicrobial Sensitivity TestsAnti-Bacterial Agentsantibiotic resistanceEscherichia colievolutionmutation accumulationpleiotropy

Identifiers

PMID30837336
PMCPMC6401480
OpenAlexW2920761495

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.