Literature DB >> 24094347

Evolutionary reversals of antibiotic resistance in experimental populations of Pseudomonas aeruginosa.

Danna R Gifford1, R Craig MacLean.   

Abstract

Antibiotic resistance mutations are accompanied by a fitness cost, and two mechanisms allow bacteria to adapt to this cost once antibiotic use is halted. First, it is possible for resistance to revert; second, it is possible for bacteria to adapt to the cost of resistance by compensatory mutations. Unfortunately, reversion to antibiotic sensitivity is rare, but the underlying factors that prevent reversion remain obscure. Here, we directly study the evolutionary dynamics of reversion by experimentally mimicking reversion mutations-sensitives-in populations of rifampicin-resistant Pseudomonas aeruginosa. We show that, in our populations, most sensitives are lost due to genetic drift when they are rare. However, clonal interference from lineages carrying compensatory mutations causes a dramatic increase in the time to fixation of sensitives that escape genetic drift, and mutations surpassing the sensitives' fitness are capable of driving transiently common sensitive lineages to extinction. Crucially, we show that the constraints on reversion arising from clonal interference are determined by the potential for compensatory adaptation of the resistant population. Although the cost of resistance provides the incentive for reversion, our study demonstrates that both the cost of resistance and the intrinsic evolvability of resistant populations interact to determine the rate and likelihood of reversion.
© 2013 The Author(s). Evolution © 2013 The Society for the Study of Evolution.

Entities:  

Keywords:  Compensatory evolution; evolvability; genetic drift; probability of fixation; rifampicin

Mesh:

Year:  2013        PMID: 24094347     DOI: 10.1111/evo.12158

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  13 in total

Review 1.  Evolutionary consequences of drug resistance: shared principles across diverse targets and organisms.

Authors:  Diarmaid Hughes; Dan I Andersson
Journal:  Nat Rev Genet       Date:  2015-07-07       Impact factor: 53.242

Review 2.  Experimental Design, Population Dynamics, and Diversity in Microbial Experimental Evolution.

Authors:  Bram Van den Bergh; Toon Swings; Maarten Fauvart; Jan Michiels
Journal:  Microbiol Mol Biol Rev       Date:  2018-07-25       Impact factor: 11.056

3.  Antibiotic resistance is widespread in urban aquatic environments of Rio de Janeiro, Brazil.

Authors:  Felipe H Coutinho; Cynthia B Silveira; Leonardo H Pinto; Gigliola R B Salloto; Alexander M Cardoso; Orlando B Martins; Ricardo P Vieira; Maysa M Clementino
Journal:  Microb Ecol       Date:  2014-05-13       Impact factor: 4.552

4.  A large-scale whole-genome comparison shows that experimental evolution in response to antibiotics predicts changes in naturally evolved clinical Pseudomonas aeruginosa.

Authors:  Samuel J T Wardell; Attika Rehman; Lois W Martin; Craig Winstanley; Wayne M Patrick; Iain L Lamont
Journal:  Antimicrob Agents Chemother       Date:  2019-09-30       Impact factor: 5.191

5.  Stochastic bacterial population dynamics restrict the establishment of antibiotic resistance from single cells.

Authors:  Helen K Alexander; R Craig MacLean
Journal:  Proc Natl Acad Sci U S A       Date:  2020-07-23       Impact factor: 11.205

6.  Dynamics of Mutations during Development of Resistance by Pseudomonas aeruginosa against Five Antibiotics.

Authors:  Yanfang Feng; Martijs J Jonker; Ioannis Moustakas; Stanley Brul; Benno H Ter Kuile
Journal:  Antimicrob Agents Chemother       Date:  2016-06-20       Impact factor: 5.191

7.  The fates of mutant lineages and the distribution of fitness effects of beneficial mutations in laboratory budding yeast populations.

Authors:  Evgeni M Frenkel; Benjamin H Good; Michael M Desai
Journal:  Genetics       Date:  2014-02-10       Impact factor: 4.562

Review 8.  Limits to compensatory adaptation and the persistence of antibiotic resistance in pathogenic bacteria.

Authors:  R Craig MacLean; Tom Vogwill
Journal:  Evol Med Public Health       Date:  2014-12-21

Review 9.  Reversing resistance: different routes and common themes across pathogens.

Authors:  Richard C Allen; Jan Engelstädter; Sebastian Bonhoeffer; Bruce A McDonald; Alex R Hall
Journal:  Proc Biol Sci       Date:  2017-09-27       Impact factor: 5.349

10.  Potential for adaptation overrides cost of resistance.

Authors:  Jorge Moura de Sousa; Ana Sousa; Catarina Bourgard; Isabel Gordo
Journal:  Future Microbiol       Date:  2015-09-07       Impact factor: 3.165

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