Literature DB >> 17650474

Source-sink dynamics shape the evolution of antibiotic resistance and its pleiotropic fitness cost.

Gabriel G Perron1, Andrew Gonzalez, Angus Buckling.   

Abstract

Understanding the conditions that favour the evolution and maintenance of antibiotic resistance is the central goal of epidemiology. A crucial feature explaining the adaptation to harsh, or 'sink', environments is the supply of beneficial mutations via migration from a 'source' population. Given that antibiotic resistance is frequently associated with antagonistic pleiotropic fitness costs, increased migration rate is predicted not only to increase the rate of resistance evolution but also to increase the probability of fixation of resistance mutations with minimal fitness costs. Here we report in vitro experiments using the nosocomial pathogenic bacterium Pseudomonas aeruginosa that support these predictions: increasing rate of migration into environments containing antibiotics increased the rate of resistance evolution and decreased the associated costs of resistance. Consistent with previous theoretical work, we found that resistance evolution arose more rapidly in the presence of a single antibiotic than two. Evolution of resistance was also more rapid when bacteria were subjected to sequential exposure with two antibiotics (cycling therapy) compared with simultaneous exposure (bi-therapy). Furthermore, pleiotropic fitness costs of resistance to two antibiotics were higher than for one antibiotic, and were also higher under bi-therapy than cycling therapy, although the cost of resistance depended on the order of the antibiotics through time. These results may be relevant to the clinical setting where immigration is known to be important between chemotherapeutically treated patients, and demonstrate the importance of ecological and evolutionary dynamics in the control of antibiotic resistance.

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Year:  2007        PMID: 17650474      PMCID: PMC2288555          DOI: 10.1098/rspb.2007.0640

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  31 in total

1.  The effects of density dependence and immigration on local adaptation and niche evolution in a black-hole sink environment.

Authors:  R Gomulkiewicz; R D Holt; M Barfield
Journal:  Theor Popul Biol       Date:  1999-06       Impact factor: 1.570

2.  Ecological theory suggests that antimicrobial cycling will not reduce antimicrobial resistance in hospitals.

Authors:  Carl T Bergstrom; Monique Lo; Marc Lipsitch
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-12       Impact factor: 11.205

3.  Rifampin: mechanisms of action and resistance.

Authors:  W Wehrli
Journal:  Rev Infect Dis       Date:  1983 Jul-Aug

4.  Cross-colonisation with Pseudomonas aeruginosa of patients in an intensive care unit.

Authors:  D C Bergmans; M J Bonten; F H van Tiel; C A Gaillard; S van der Geest; R M Wilting; P W de Leeuw; E E Stobberingh
Journal:  Thorax       Date:  1998-12       Impact factor: 9.139

5.  CDC definitions for nosocomial infections, 1988.

Authors:  J S Garner; W R Jarvis; T G Emori; T C Horan; J M Hughes
Journal:  Am J Infect Control       Date:  1988-06       Impact factor: 2.918

6.  Adaptation to the fitness costs of antibiotic resistance in Escherichia coli.

Authors:  S J Schrag; V Perrot; B R Levin
Journal:  Proc Biol Sci       Date:  1997-09-22       Impact factor: 5.349

7.  Temporal variation can facilitate niche evolution in harsh sink environments.

Authors:  Robert D Holt
Journal:  Am Nat       Date:  2004-07-01       Impact factor: 3.926

Review 8.  Adaptation to the deleterious effects of antimicrobial drug resistance mutations by compensatory evolution.

Authors:  Sophie Maisnier-Patin; Dan I Andersson
Journal:  Res Microbiol       Date:  2004-06       Impact factor: 3.992

9.  The prevalence of nosocomial infection in intensive care units in Europe. Results of the European Prevalence of Infection in Intensive Care (EPIC) Study. EPIC International Advisory Committee.

Authors:  J L Vincent; D J Bihari; P M Suter; H A Bruining; J White; M H Nicolas-Chanoin; M Wolff; R C Spencer; M Hemmer
Journal:  JAMA       Date:  1995 Aug 23-30       Impact factor: 56.272

10.  The role of evolution in the emergence of infectious diseases.

Authors:  Rustom Antia; Roland R Regoes; Jacob C Koella; Carl T Bergstrom
Journal:  Nature       Date:  2003-12-11       Impact factor: 49.962

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  47 in total

1.  The costs of evolving resistance in heterogeneous parasite environments.

Authors:  Britt Koskella; Derek M Lin; Angus Buckling; John N Thompson
Journal:  Proc Biol Sci       Date:  2011-12-14       Impact factor: 5.349

2.  Bacterial recombination promotes the evolution of multi-drug-resistance in functionally diverse populations.

Authors:  Gabriel G Perron; Alexander E G Lee; Yun Wang; Wei E Huang; Timothy G Barraclough
Journal:  Proc Biol Sci       Date:  2011-11-02       Impact factor: 5.349

3.  On the rapidity of antibiotic resistance evolution facilitated by a concentration gradient.

Authors:  Rutger Hermsen; J Barrett Deris; Terence Hwa
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-18       Impact factor: 11.205

4.  Multidrug therapy and evolution of antibiotic resistance: when order matters.

Authors:  Gabriel G Perron; Sergey Kryazhimskiy; Daniel P Rice; Angus Buckling
Journal:  Appl Environ Microbiol       Date:  2012-06-22       Impact factor: 4.792

5.  Experimental evidence that source genetic variation drives pathogen emergence.

Authors:  John J Dennehy; Nicholas A Friedenberg; Robert C McBride; Robert D Holt; Paul E Turner
Journal:  Proc Biol Sci       Date:  2010-05-19       Impact factor: 5.349

Review 6.  The population genetics of antibiotic resistance: integrating molecular mechanisms and treatment contexts.

Authors:  R Craig MacLean; Alex R Hall; Gabriel G Perron; Angus Buckling
Journal:  Nat Rev Genet       Date:  2010-06       Impact factor: 53.242

7.  Theoretical perspectives on the statics and dynamics of species' borders in patchy environments.

Authors:  Robert D Holt; Michael Barfield
Journal:  Am Nat       Date:  2011-09-12       Impact factor: 3.926

8.  Can gene flow have negative demographic consequences? Mixed evidence from stream threespine stickleback.

Authors:  Jean-Sébastien Moore; Andrew P Hendry
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-06-12       Impact factor: 6.237

Review 9.  Bringing the Hutchinsonian niche into the 21st century: ecological and evolutionary perspectives.

Authors:  Robert D Holt
Journal:  Proc Natl Acad Sci U S A       Date:  2009-11-10       Impact factor: 11.205

10.  Sources and sinks: a stochastic model of evolution in heterogeneous environments.

Authors:  Rutger Hermsen; Terence Hwa
Journal:  Phys Rev Lett       Date:  2010-12-08       Impact factor: 9.161

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