Evidence map›Paper›PMID 25716795›Full record

ArticleProceedings. Biological sciences2015

Bypass of genetic constraints during mutator evolution to antibiotic resistance.

Alejandro Couce, Alexandro Rodríguez-Rojas, Jesús Blázquez

Erratum issuedAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

30 citing papers in PubMed, 83 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Plasmid mutation rates scale with copy number.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
  6. Article
  7. Extending evolutionary forecasts across bacterial species.Proceedings. Biological sciences · 2024
    Article
  8. Mutation bias and adaptation in bacteria.Microbiology (Reading, England) · 2023
    Review
  9. Article
  10. Mutation bias and the predictability of evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  11. Transient mutation bias increases the predictability of evolution on an empirical genotype-phenotype landscape.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  12. Mutation bias shapes the spectrum of adaptive substitutions.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. The role of mutation bias in adaptive molecular evolution: insights from convergent changes in protein function.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 3 countries.

Alejandro CouceCentro Nacional de Biotecnología (CNB-CSIC), 28049 Madrid, Spain Unité Mixte de Recherche 1137 (IAME-INSERM), 75018 Paris, France alejandro.couce@inserm.fr.
Alexandro Rodríguez-RojasCentro Nacional de Biotecnología (CNB-CSIC), 28049 Madrid, Spain Institut für Biologie, Freie Universität Berlin, 14195 Berlin, Germany.
Jesús BlázquezCentro Nacional de Biotecnología (CNB-CSIC), 28049 Madrid, Spain Instituto de Biomedicina de Sevilla (IBIS), 41013 Sevilla, Spain.
Centro Nacional de Biotecnología · ESInstituto de Biomedicina de Sevilla · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic constraints can block many mutational pathways to optimal genotypes in real fitness landscapes, yet the extent to which this can limit evolution remains to be determined. Interestingly, mutator bacteria elevate only specific types of mutations, and therefore could be very sensitive to genetic constraints. Testing this possibility is not only clinically relevant, but can also inform about the general impact of genetic constraints in adaptation. Here, we evolved 576 populations of two mutator and one wild-type Escherichia coli to doubling concentrations of the antibiotic cefotaxime. All strains carried TEM-1, a β-lactamase enzyme well known by its low availability of mutational pathways. Crucially, one of the mutators does not elevate any of the relevant first-step mutations known to improve cefatoximase activity. Despite this, both mutators displayed a similar ability to evolve more than 1000-fold resistance. Initial adaptation proceeded in parallel through general multi-drug resistance mechanisms. High-level resistance, in contrast, was achieved through divergent paths; with the a priori inferior mutator exploiting alternative mutational pathways in PBP3, the target of the antibiotic. These results have implications for mutator management in clinical infections and, more generally, illustrate that limits to natural selection in real organisms are alleviated by the existence of multiple loci contributing to fitness.

Indexed as

Evolution, MolecularMutationAllelesAnti-Bacterial AgentsCefotaximeDose-Response Relationship, DrugDrug Resistance, MicrobialEscherichia coliEscherichia coli ProteinsModels, GeneticPyrophosphatasesAnti-Bacterial AgentsCefotaximeEscherichia coli ProteinsmutT protein, E coliPyrophosphatasesepistasismutational pathwaysmutatorPBP3TEM-1

Identifiers

PMID25716795
PMCPMC4375862
OpenAlexW1976509783

What OpenQuestion holds

Textmetadata
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.