Evidence map›Paper›PMID 32469859›Full record

ArticlePLoS computational biology2020

Phenotypic delay in the evolution of bacterial antibiotic resistance: Mechanistic models and their implications.

Martín Carballo-Pacheco, Michael D Nicholson, Elin E Lilja, Rosalind J Allen, Bartlomiej Waclaw

Abstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Antimicrobial photodynamic therapy reprograms resistance by inducing sensitization in methicillin-resistant Staphylococcus aureus.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2026
    Article
  3. Review
  4. Review
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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.

Martín Carballo-PachecoSchool of Physics and Astronomy, The University of Edinburgh, Edinburgh, United Kingdom.
Michael D NicholsonSchool of Physics and Astronomy, The University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0003-2813-8979
Elin E LiljaSchool of Physics and Astronomy, The University of Edinburgh, Edinburgh, United Kingdom.
Rosalind J AllenSchool of Physics and Astronomy, The University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0003-4110-2962
Bartlomiej WaclawSchool of Physics and Astronomy, The University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0001-5355-7994

Funding

European Research Council 682237
6 · The paper itself

Abstract

Phenotypic delay-the time delay between genetic mutation and expression of the corresponding phenotype-is generally neglected in evolutionary models, yet recent work suggests that it may be more common than previously assumed. Here, we use computer simulations and theory to investigate the significance of phenotypic delay for the evolution of bacterial resistance to antibiotics. We consider three mechanisms which could potentially cause phenotypic delay: effective polyploidy, dilution of antibiotic-sensitive molecules and accumulation of resistance-enhancing molecules. We find that the accumulation of resistant molecules is relevant only within a narrow parameter range, but both the dilution of sensitive molecules and effective polyploidy can cause phenotypic delay over a wide range of parameters. We further investigate whether these mechanisms could affect population survival under drug treatment and thereby explain observed discrepancies in mutation rates estimated by Luria-Delbrück fluctuation tests. While the effective polyploidy mechanism does not affect population survival, the dilution of sensitive molecules leads both to decreased probability of survival under drug treatment and underestimation of mutation rates in fluctuation tests. The dilution mechanism also changes the shape of the Luria-Delbrück distribution of mutant numbers, and we show that this modified distribution provides an improved fit to previously published experimental data.

Indexed as

Biological EvolutionDrug Resistance, BacterialModels, GeneticMutationPhenotypePolyploidy

Identifiers

PMID32469859
PMCPMC7307788

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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.