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Phenotypic delay in the evolution of bacterial antibiotic resistance: Mechanistic models and their implications
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 significa...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7307788/ https://www.ncbi.nlm.nih.gov/pubmed/32469859 http://dx.doi.org/10.1371/journal.pcbi.1007930 |
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author | Carballo-Pacheco, Martín Nicholson, Michael D. Lilja, Elin E. Allen, Rosalind J. Waclaw, Bartlomiej |
author_facet | Carballo-Pacheco, Martín Nicholson, Michael D. Lilja, Elin E. Allen, Rosalind J. Waclaw, Bartlomiej |
author_sort | Carballo-Pacheco, Martín |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7307788 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-73077882020-06-24 Phenotypic delay in the evolution of bacterial antibiotic resistance: Mechanistic models and their implications Carballo-Pacheco, Martín Nicholson, Michael D. Lilja, Elin E. Allen, Rosalind J. Waclaw, Bartlomiej PLoS Comput Biol Research Article 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. Public Library of Science 2020-05-29 /pmc/articles/PMC7307788/ /pubmed/32469859 http://dx.doi.org/10.1371/journal.pcbi.1007930 Text en © 2020 Carballo-Pacheco et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Carballo-Pacheco, Martín Nicholson, Michael D. Lilja, Elin E. Allen, Rosalind J. Waclaw, Bartlomiej Phenotypic delay in the evolution of bacterial antibiotic resistance: Mechanistic models and their implications |
title | Phenotypic delay in the evolution of bacterial antibiotic resistance: Mechanistic models and their implications |
title_full | Phenotypic delay in the evolution of bacterial antibiotic resistance: Mechanistic models and their implications |
title_fullStr | Phenotypic delay in the evolution of bacterial antibiotic resistance: Mechanistic models and their implications |
title_full_unstemmed | Phenotypic delay in the evolution of bacterial antibiotic resistance: Mechanistic models and their implications |
title_short | Phenotypic delay in the evolution of bacterial antibiotic resistance: Mechanistic models and their implications |
title_sort | phenotypic delay in the evolution of bacterial antibiotic resistance: mechanistic models and their implications |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7307788/ https://www.ncbi.nlm.nih.gov/pubmed/32469859 http://dx.doi.org/10.1371/journal.pcbi.1007930 |
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