Literature DB >> 28292709

Toward a quantitative understanding of antibiotic resistance evolution.

Marta Lukačišinová1, Tobias Bollenbach2.   

Abstract

The rising prevalence of antibiotic resistant bacteria is an increasingly serious public health challenge. To address this problem, recent work ranging from clinical studies to theoretical modeling has provided valuable insights into the mechanisms of resistance, its emergence and spread, and ways to counteract it. A deeper understanding of the underlying dynamics of resistance evolution will require a combination of experimental and theoretical expertise from different disciplines and new technology for studying evolution in the laboratory. Here, we review recent advances in the quantitative understanding of the mechanisms and evolution of antibiotic resistance. We focus on key theoretical concepts and new technology that enables well-controlled experiments. We further highlight key challenges that can be met in the near future to ultimately develop effective strategies for combating resistance.
Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

Mesh:

Year:  2017        PMID: 28292709     DOI: 10.1016/j.copbio.2017.02.013

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  15 in total

1.  A Roadblock-and-Kill Mechanism of Action Model for the DNA-Targeting Antibiotic Ciprofloxacin.

Authors:  Nikola Ojkic; Elin Lilja; Susana Direito; Angela Dawson; Rosalind J Allen; Bartlomiej Waclaw
Journal:  Antimicrob Agents Chemother       Date:  2020-08-20       Impact factor: 5.191

Review 2.  Multiscale Evolutionary Dynamics of Host-Associated Microbiomes.

Authors:  Aura Ferreiro; Nathan Crook; Andrew J Gasparrini; Gautam Dantas
Journal:  Cell       Date:  2018-03-08       Impact factor: 41.582

3.  Highly parallel lab evolution reveals that epistasis can curb the evolution of antibiotic resistance.

Authors:  Marta Lukačišinová; Booshini Fernando; Tobias Bollenbach
Journal:  Nat Commun       Date:  2020-06-19       Impact factor: 14.919

4.  Continuous culture of Escherichia coli, under selective pressure by a novel antimicrobial complex, does not result in development of resistance.

Authors:  Lilit Tonoyan; Gerard T A Fleming; Ruairi Friel; Vincent O'Flaherty
Journal:  Sci Rep       Date:  2019-02-20       Impact factor: 4.379

5.  Editorial: Evolution of Genetic Mechanisms of Antibiotic Resistance.

Authors:  Silvia Buroni; Simona Pollini; Gian Maria Rossolini; Elena Perrin
Journal:  Front Genet       Date:  2019-10-11       Impact factor: 4.599

6.  Genotoxic Agents Produce Stressor-Specific Spectra of Spectinomycin Resistance Mutations Based on Mechanism of Action and Selection in Bacillus subtilis.

Authors:  Benjamin J Korry; Stella Ye Eun Lee; Amit K Chakrabarti; Ashley H Choi; Collin Ganser; Jason T Machan; Peter Belenky
Journal:  Antimicrob Agents Chemother       Date:  2021-08-02       Impact factor: 5.191

7.  Parallel Evolution of High-Level Aminoglycoside Resistance in Escherichia coli Under Low and High Mutation Supply Rates.

Authors:  Claudia Ibacache-Quiroga; Juan C Oliveros; Alejandro Couce; Jesus Blázquez
Journal:  Front Microbiol       Date:  2018-03-19       Impact factor: 5.640

8.  Recombinant yeast and human cells as screening tools to search for antibacterial agents targeting the transcription termination factor Rho.

Authors:  Kévin Moreau; Justine Surand; Aurélia Le Dantec; Christine Mosrin-Huaman; Alain Legrand; A Rachid Rahmouni
Journal:  J Antibiot (Tokyo)       Date:  2018-01-25       Impact factor: 2.649

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

Authors:  Martín Carballo-Pacheco; Michael D Nicholson; Elin E Lilja; Rosalind J Allen; Bartlomiej Waclaw
Journal:  PLoS Comput Biol       Date:  2020-05-29       Impact factor: 4.475

10.  Learning the pattern of epistasis linking genotype and phenotype in a protein.

Authors:  Frank J Poelwijk; Michael Socolich; Rama Ranganathan
Journal:  Nat Commun       Date:  2019-09-16       Impact factor: 14.919

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