Literature DB >> 21220359

The fitness cost of rifampicin resistance in Pseudomonas aeruginosa depends on demand for RNA polymerase.

Alex R Hall1, James C Iles, R Craig MacLean.   

Abstract

Bacterial resistance to antibiotics usually incurs a fitness cost in the absence of selecting drugs, and this cost of resistance plays a key role in the spread of antibiotic resistance in pathogen populations. Costs of resistance have been shown to vary with environmental conditions, but the causes of this variability remain obscure. In this article, we show that the average cost of rifampicin resistance in the pathogenic bacterium Pseudomonas aeruginosa is reduced by the addition of ribosome inhibitors (chloramphenicol or streptomycin) that indirectly constrain transcription rate and therefore reduce demand for RNA polymerase activity. This effect is consistent with predictions from metabolic control theory. We also tested the alternative hypothesis that the observed trend was due to a general effect of environmental quality on the cost of resistance. To do this we measured the fitness of resistant mutants in the presence of other antibiotics (ciprofloxacin and carbenicillin) that have similar effects on bacterial growth rate but bind to different target enzymes (DNA gyrase and penicillin-binding proteins, respectively) and in 41 single-carbon source environments of varying quality. We find no consistent effect of environmental quality on the average cost of resistance in these treatments. These results show that the cost of rifampicin resistance varies with demand for the mutated target enzyme, rather than as a simple function of bacterial growth rate or stress.
© 2011 by the Genetics Society of America

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Year:  2011        PMID: 21220359      PMCID: PMC3063675          DOI: 10.1534/genetics.110.124628

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  33 in total

1.  Effects of environment on compensatory mutations to ameliorate costs of antibiotic resistance.

Authors:  J Björkman; I Nagaev; O G Berg; D Hughes; D I Andersson
Journal:  Science       Date:  2000-02-25       Impact factor: 47.728

Review 2.  Persistence of antibiotic resistant bacteria.

Authors:  Dan I Andersson
Journal:  Curr Opin Microbiol       Date:  2003-10       Impact factor: 7.934

3.  Predicting epistasis: an experimental test of metabolic control theory with bacterial transcription and translation.

Authors:  R C MacLean
Journal:  J Evol Biol       Date:  2010-01-07       Impact factor: 2.411

4.  The fitness cost of streptomycin resistance depends on rpsL mutation, carbon source and RpoS (sigmaS).

Authors:  Wilhelm Paulander; Sophie Maisnier-Patin; Dan I Andersson
Journal:  Genetics       Date:  2009-08-03       Impact factor: 4.562

5.  Interactions between stressful environment and gene deletions alleviate the expected average loss of fitness in yeast.

Authors:  Lukasz Jasnos; Katarzyna Tomala; Dorota Paczesniak; Ryszard Korona
Journal:  Genetics       Date:  2008-04       Impact factor: 4.562

6.  Pleiotropic effect of a rifampin-resistant mutation in Bacillus subtilis.

Authors:  J I Ryu
Journal:  J Bacteriol       Date:  1978-08       Impact factor: 3.490

7.  Compensatory evolution in rifampin-resistant Escherichia coli.

Authors:  M G Reynolds
Journal:  Genetics       Date:  2000-12       Impact factor: 4.562

8.  Do deleterious mutations act synergistically? Metabolic control theory provides a partial answer.

Authors:  E Szathmáry
Journal:  Genetics       Date:  1993-01       Impact factor: 4.562

9.  Detection of rifampicin-resistance mutations in Mycobacterium tuberculosis.

Authors:  A Telenti; P Imboden; F Marchesi; D Lowrie; S Cole; M J Colston; L Matter; K Schopfer; T Bodmer
Journal:  Lancet       Date:  1993-03-13       Impact factor: 79.321

10.  Environmental stress and mutational load in diploid strains of the yeast Saccharomyces cerevisiae.

Authors:  K Szafraniec; R H Borts; R Korona
Journal:  Proc Natl Acad Sci U S A       Date:  2001-01-16       Impact factor: 11.205

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  25 in total

1.  Breaking evolutionary constraint with a tradeoff ratchet.

Authors:  Marjon G J de Vos; Alexandre Dawid; Vanda Sunderlikova; Sander J Tans
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-13       Impact factor: 11.205

2.  Adaptation Through Lifestyle Switching Sculpts the Fitness Landscape of Evolving Populations: Implications for the Selection of Drug-Resistant Bacteria at Low Drug Pressures.

Authors:  Nishad Matange; Sushmitha Hegde; Swapnil Bodkhe
Journal:  Genetics       Date:  2019-01-22       Impact factor: 4.562

3.  General and inducible hypermutation facilitate parallel adaptation in Pseudomonas aeruginosa despite divergent mutation spectra.

Authors:  Michael R Weigand; George W Sundin
Journal:  Proc Natl Acad Sci U S A       Date:  2012-08-06       Impact factor: 11.205

4.  Strong Environment-Genotype Interactions Determine the Fitness Costs of Antibiotic Resistance In Vitro and in an Insect Model of Infection.

Authors:  C James Manktelow; Elitsa Penkova; Lucy Scott; Andrew C Matthews; Ben Raymond
Journal:  Antimicrob Agents Chemother       Date:  2020-09-21       Impact factor: 5.191

5.  Extreme Antagonism Arising from Gene-Environment Interactions.

Authors:  Thomas P Wytock; Manjing Zhang; Adrian Jinich; Aretha Fiebig; Sean Crosson; Adilson E Motter
Journal:  Biophys J       Date:  2020-10-15       Impact factor: 4.033

6.  Increased survival of antibiotic-resistant Escherichia coli inside macrophages.

Authors:  Migla Miskinyte; Isabel Gordo
Journal:  Antimicrob Agents Chemother       Date:  2012-10-22       Impact factor: 5.191

Review 7.  Using ecological coexistence theory to understand antibiotic resistance and microbial competition.

Authors:  Andrew D Letten; Alex R Hall; Jonathan M Levine
Journal:  Nat Ecol Evol       Date:  2021-02-01       Impact factor: 15.460

8.  Environmental dependence of genetic constraint.

Authors:  Marjon G J de Vos; Frank J Poelwijk; Nico Battich; Joseph D T Ndika; Sander J Tans
Journal:  PLoS Genet       Date:  2013-06-27       Impact factor: 5.917

Review 9.  Costs of antibiotic resistance - separating trait effects and selective effects.

Authors:  Alex R Hall; Daniel C Angst; Konstanze T Schiessl; Martin Ackermann
Journal:  Evol Appl       Date:  2014-07-14       Impact factor: 5.183

10.  Mutational spectrum drives the rise of mutator bacteria.

Authors:  Alejandro Couce; Javier R Guelfo; Jesús Blázquez
Journal:  PLoS Genet       Date:  2013-01-10       Impact factor: 5.917

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