Adaptation at different points along antibiotic concentration gradients

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Adaptation at different points along antibiotic concentration gradients. / Lagator, Mato; Uecker, Hildegard; Neve, Paul.

In: Biology Letters, Vol. 17, No. 5, 20200913, 2021.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Lagator, M, Uecker, H & Neve, P 2021, 'Adaptation at different points along antibiotic concentration gradients', Biology Letters, vol. 17, no. 5, 20200913. https://doi.org/10.1098/rsbl.2020.0913

APA

Lagator, M., Uecker, H., & Neve, P. (2021). Adaptation at different points along antibiotic concentration gradients. Biology Letters, 17(5), [20200913]. https://doi.org/10.1098/rsbl.2020.0913

Vancouver

Lagator M, Uecker H, Neve P. Adaptation at different points along antibiotic concentration gradients. Biology Letters. 2021;17(5). 20200913. https://doi.org/10.1098/rsbl.2020.0913

Author

Lagator, Mato ; Uecker, Hildegard ; Neve, Paul. / Adaptation at different points along antibiotic concentration gradients. In: Biology Letters. 2021 ; Vol. 17, No. 5.

Bibtex

@article{acf298a59701486e83c4f5553adf2da0,
title = "Adaptation at different points along antibiotic concentration gradients",
abstract = "Antibiotic concentrations vary dramatically in the body and the environment. Hence, understanding the dynamics of resistance evolution along antibiotic concentration gradients is critical for predicting and slowing the emergence and spread of resistance. While it has been shown that increasing the concentration of an antibiotic slows resistance evolution, how adaptation to one antibiotic concentration correlates with fitness at other points along the gradient has not received much attention. Here, we selected populations of Escherichia coli at several points along a concentration gradient for three different antibiotics, asking how rapidly resistance evolved and whether populations became specialized to the antibiotic concentration they were selected on. Populations selected at higher concentrations evolved resistance more slowly but exhibited equal or higher fitness across the whole gradient. Populations selected at lower concentrations evolved resistance rapidly, but overall fitness in the presence of antibiotics was lower. However, these populations readily adapted to higher concentrations upon subsequent selection. Our results indicate that resistance management strategies must account not only for the rates of resistance evolution but also for the fitness of evolved strains.",
keywords = "antibiotic resistance, drug dose, adaptation, BENEFICIAL MUTATIONS, HERBICIDE RESISTANCE, ENVIRONMENTAL-CHANGE, EVOLUTIONARY RESCUE, DRUG-RESISTANCE, FITNESS COSTS, SELECTION, POPULATIONS, MECHANISMS, COMPENSATION",
author = "Mato Lagator and Hildegard Uecker and Paul Neve",
year = "2021",
doi = "10.1098/rsbl.2020.0913",
language = "English",
volume = "17",
journal = "Biology Letters",
issn = "1744-9561",
publisher = "The/Royal Society",
number = "5",

}

RIS

TY - JOUR

T1 - Adaptation at different points along antibiotic concentration gradients

AU - Lagator, Mato

AU - Uecker, Hildegard

AU - Neve, Paul

PY - 2021

Y1 - 2021

N2 - Antibiotic concentrations vary dramatically in the body and the environment. Hence, understanding the dynamics of resistance evolution along antibiotic concentration gradients is critical for predicting and slowing the emergence and spread of resistance. While it has been shown that increasing the concentration of an antibiotic slows resistance evolution, how adaptation to one antibiotic concentration correlates with fitness at other points along the gradient has not received much attention. Here, we selected populations of Escherichia coli at several points along a concentration gradient for three different antibiotics, asking how rapidly resistance evolved and whether populations became specialized to the antibiotic concentration they were selected on. Populations selected at higher concentrations evolved resistance more slowly but exhibited equal or higher fitness across the whole gradient. Populations selected at lower concentrations evolved resistance rapidly, but overall fitness in the presence of antibiotics was lower. However, these populations readily adapted to higher concentrations upon subsequent selection. Our results indicate that resistance management strategies must account not only for the rates of resistance evolution but also for the fitness of evolved strains.

AB - Antibiotic concentrations vary dramatically in the body and the environment. Hence, understanding the dynamics of resistance evolution along antibiotic concentration gradients is critical for predicting and slowing the emergence and spread of resistance. While it has been shown that increasing the concentration of an antibiotic slows resistance evolution, how adaptation to one antibiotic concentration correlates with fitness at other points along the gradient has not received much attention. Here, we selected populations of Escherichia coli at several points along a concentration gradient for three different antibiotics, asking how rapidly resistance evolved and whether populations became specialized to the antibiotic concentration they were selected on. Populations selected at higher concentrations evolved resistance more slowly but exhibited equal or higher fitness across the whole gradient. Populations selected at lower concentrations evolved resistance rapidly, but overall fitness in the presence of antibiotics was lower. However, these populations readily adapted to higher concentrations upon subsequent selection. Our results indicate that resistance management strategies must account not only for the rates of resistance evolution but also for the fitness of evolved strains.

KW - antibiotic resistance

KW - drug dose

KW - adaptation

KW - BENEFICIAL MUTATIONS

KW - HERBICIDE RESISTANCE

KW - ENVIRONMENTAL-CHANGE

KW - EVOLUTIONARY RESCUE

KW - DRUG-RESISTANCE

KW - FITNESS COSTS

KW - SELECTION

KW - POPULATIONS

KW - MECHANISMS

KW - COMPENSATION

U2 - 10.1098/rsbl.2020.0913

DO - 10.1098/rsbl.2020.0913

M3 - Journal article

C2 - 33975485

VL - 17

JO - Biology Letters

JF - Biology Letters

SN - 1744-9561

IS - 5

M1 - 20200913

ER -

ID: 270548760