Literature DB >> 33972257

Choice of β-Lactam Resistance Pathway Depends Critically on Initial Antibiotic Concentration.

Philip Ruelens1, J Arjan G M de Visser1.   

Abstract

Antibiotic resistance trajectories with different final resistance may critically depend on the first mutation, due to epistatic interactions. Here, we study the effect of mutation bias and the concentration-dependent effects on fitness of two clinically important mutations in TEM-1 β-lactamase in initiating alternative trajectories to cefotaxime resistance. We show that at low cefotaxime concentrations, the R164S mutation (a mutation of arginine to serine at position 164), which confers relatively low resistance, is competitively superior to the G238S mutation, conferring higher resistance, thus highlighting a critical influence of antibiotic concentration on long-term resistance evolution.

Entities:  

Keywords:  TEM-1; antibiotic resistance; epistasis; protein evolution; β-lactamase

Mesh:

Substances:

Year:  2021        PMID: 33972257      PMCID: PMC8284463          DOI: 10.1128/AAC.00471-21

Source DB:  PubMed          Journal:  Antimicrob Agents Chemother        ISSN: 0066-4804            Impact factor:   5.191


  17 in total

1.  Detrimental effect of the combination of R164S with G238S in TEM-1 beta-lactamase on the extended-spectrum activity conferred by each single mutation.

Authors:  P Giakkoupi; E Tzelepi; P T Tassios; N J Legakis; L S Tzouvelekis
Journal:  J Antimicrob Chemother       Date:  2000-01       Impact factor: 5.790

2.  Bias in the introduction of variation as an orienting factor in evolution.

Authors:  L Y Yampolsky; A Stoltzfus
Journal:  Evol Dev       Date:  2001 Mar-Apr       Impact factor: 1.930

Review 3.  Natural evolution of TEM-1 β-lactamase: experimental reconstruction and clinical relevance.

Authors:  Merijn L M Salverda; J Arjan G M De Visser; Miriam Barlow
Journal:  FEMS Microbiol Rev       Date:  2010-11       Impact factor: 16.408

4.  Determinants of spontaneous mutation in the bacterium Escherichia coli as revealed by whole-genome sequencing.

Authors:  Patricia L Foster; Heewook Lee; Ellen Popodi; Jesse P Townes; Haixu Tang
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-12       Impact factor: 11.205

5.  Negative Epistasis and Evolvability in TEM-1 β-Lactamase--The Thin Line between an Enzyme's Conformational Freedom and Disorder.

Authors:  Eynat Dellus-Gur; Mikael Elias; Emilia Caselli; Fabio Prati; Merijn L M Salverda; J Arjan G M de Visser; James S Fraser; Dan S Tawfik
Journal:  J Mol Biol       Date:  2015-05-22       Impact factor: 5.469

Review 6.  Evolutionary Trajectories to Antibiotic Resistance.

Authors:  Diarmaid Hughes; Dan I Andersson
Journal:  Annu Rev Microbiol       Date:  2017-07-11       Impact factor: 15.500

7.  Antibiotic treatment enhances the genome-wide mutation rate of target cells.

Authors:  Hongan Long; Samuel F Miller; Chloe Strauss; Chaoxian Zhao; Lei Cheng; Zhiqiang Ye; Katherine Griffin; Ronald Te; Heewook Lee; Chi-Chun Chen; Michael Lynch
Journal:  Proc Natl Acad Sci U S A       Date:  2016-04-18       Impact factor: 11.205

8.  Initial mutations direct alternative pathways of protein evolution.

Authors:  Merijn L M Salverda; Eynat Dellus; Florien A Gorter; Alfons J M Debets; John van der Oost; Rolf F Hoekstra; Dan S Tawfik; J Arjan G M de Visser
Journal:  PLoS Genet       Date:  2011-03-03       Impact factor: 5.917

9.  Tempo and mode of genome evolution in a 50,000-generation experiment.

Authors:  Olivier Tenaillon; Jeffrey E Barrick; Noah Ribeck; Daniel E Deatherage; Jeffrey L Blanchard; Aurko Dasgupta; Gabriel C Wu; Sébastien Wielgoss; Stéphane Cruveiller; Claudine Médigue; Dominique Schneider; Richard E Lenski
Journal:  Nature       Date:  2016-08-01       Impact factor: 49.962

10.  Genomic analysis reveals distinct concentration-dependent evolutionary trajectories for antibiotic resistance in Escherichia coli.

Authors:  Aalap Mogre; Titas Sengupta; Reshma T Veetil; Preethi Ravi; Aswin Sai Narain Seshasayee
Journal:  DNA Res       Date:  2014-10-03       Impact factor: 4.458

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  1 in total

1.  Low levels of tetracyclines select for a mutation that prevents the evolution of high-level resistance to tigecycline.

Authors:  Jennifer Jagdmann; Dan I Andersson; Hervé Nicoloff
Journal:  PLoS Biol       Date:  2022-09-28       Impact factor: 9.593

  1 in total

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