Evidence map›Paper›PMID 22761587›Full record

ArticlePLoS genetics2012

Quantifying the adaptive potential of an antibiotic resistance enzyme.

Martijn F Schenk, Ivan G Szendro, Joachim Krug, J Arjan G M de Visser

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
5.0field-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

45 citing papers in PubMed, 109 citations in OpenAlex.

  1. Article
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  9. Unpredictable repeatability in molecular evolution.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  10. Article
  11. Stochastic establishment of β-lactam-resistantProceedings. Biological sciences · 2022
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Adaptive Processes Change as Multiple Functions Evolve.Antimicrobial agents and chemotherapy · 2021
    Article
  18. Article
  19. Stochastic bacterial population dynamics restrict the establishment of antibiotic resistance from single cells.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  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 3 institutions in 2 countries.

Martijn F SchenkInstitute for Genetics, University of Cologne, Köln, Germany.
Ivan G Szendro
Joachim Krug
J Arjan G M de Visser
University of Cologne · DEMax Planck Institute for Biology of Ageing · DEWageningen University & Research · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For a quantitative understanding of the process of adaptation, we need to understand its "raw material," that is, the frequency and fitness effects of beneficial mutations. At present, most empirical evidence suggests an exponential distribution of fitness effects of beneficial mutations, as predicted for Gumbel-domain distributions by extreme value theory. Here, we study the distribution of mutation effects on cefotaxime (Ctx) resistance and fitness of 48 unique beneficial mutations in the bacterial enzyme TEM-1 β-lactamase, which were obtained by screening the products of random mutagenesis for increased Ctx resistance. Our contributions are threefold. First, based on the frequency of unique mutations among more than 300 sequenced isolates and correcting for mutation bias, we conservatively estimate that the total number of first-step mutations that increase Ctx resistance in this enzyme is 87 [95% CI 75-189], or 3.4% of all 2,583 possible base-pair substitutions. Of the 48 mutations, 10 are synonymous and the majority of the 38 non-synonymous mutations occur in the pocket surrounding the catalytic site. Second, we estimate the effects of the mutations on Ctx resistance by determining survival at various Ctx concentrations, and we derive their fitness effects by modeling reproduction and survival as a branching process. Third, we find that the distribution of both measures follows a Fréchet-type distribution characterized by a broad tail of a few exceptionally fit mutants. Such distributions have fundamental evolutionary implications, including an increased predictability of evolution, and may provide a partial explanation for recent observations of striking parallel evolution of antibiotic resistance.

Indexed as

BacteriaMutationAdaptation, PhysiologicalAmino Acid Substitutionbeta-LactamasesCefotaximeDose-Response Relationship, DrugDrug Resistance, BacterialEscherichia coliEvolution, MolecularGenetic VectorsMutagenesisbeta-Lactamasesbeta-lactamase TEM-1Cefotaxime

Identifiers

PMID22761587
PMCPMC3386231
OpenAlexW2101491476

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.