Literature DB >> 11325923

Divergence in fitness and evolution of drug resistance in experimental populations of Candida albicans.

L E Cowen1, L M Kohn, J B Anderson.   

Abstract

The dissemination and persistence of drug-resistant organisms in nature depends on the relative fitness of sensitive and resistant genotypes. While resistant genotypes are expected to be at an advantage compared to less resistant genotypes in the presence of drug, resistance may incur a cost; resistant genotypes may be at a disadvantage in the absence of drug. We measured the fitness of replicate experimental populations of the pathogenic yeast Candida albicans founded from a single progenitor cell in a previous study (L. E. Cowen, D. Sanglard, D. Calabrese, C. Sirjusingh, J. B. Anderson, and L. M. Kohn, J. Bacteriol. 182:1515-1522, 2000) and evolved in the presence, and in the absence, of the antifungal agent fluconazole. Fitness was measured both in the presence and in the absence of fluconazole by placing each evolved population in direct competition with the drug-sensitive ancestor and measuring the reproductive output of each competitor in the mixture. Populations evolved in the presence of drug diverged in fitness. Any significant cost of resistance, indicated by reduced fitness in the absence of drug, was eliminated with further evolution. Populations evolved in the absence of drug showed more uniform increases in fitness under both conditions. Fitness in the competition assays was not predicted by measurements of the MICs, doubling times, or stationary-phase cell densities of the competitors in isolation, suggesting the importance of interactions between mixed genotypes in competitions.

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Year:  2001        PMID: 11325923      PMCID: PMC95195          DOI: 10.1128/JB.183.10.2971-2978.2001

Source DB:  PubMed          Journal:  J Bacteriol        ISSN: 0021-9193            Impact factor:   3.490


  38 in total

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Review 2.  The biological cost of antibiotic resistance.

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3.  Perspectives: microbiology. Mice are not furry petri dishes.

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4.  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

5.  Parallel evolution of drug resistance in HIV: failure of nonsynonymous/synonymous substitution rate ratio to detect selection.

Authors:  K A Crandall; C R Kelsey; H Imamichi; H C Lane; N P Salzman
Journal:  Mol Biol Evol       Date:  1999-03       Impact factor: 16.240

6.  The trailing end point phenotype in antifungal susceptibility testing is pH dependent.

Authors:  K A Marr; T R Rustad; J H Rex; T C White
Journal:  Antimicrob Agents Chemother       Date:  1999-06       Impact factor: 5.191

7.  Compensatory mutations, antibiotic resistance and the population genetics of adaptive evolution in bacteria.

Authors:  B R Levin; V Perrot; N Walker
Journal:  Genetics       Date:  2000-03       Impact factor: 4.562

8.  Evolution of drug resistance in experimental populations of Candida albicans.

Authors:  L E Cowen; D Sanglard; D Calabrese; C Sirjusingh; J B Anderson; L M Kohn
Journal:  J Bacteriol       Date:  2000-03       Impact factor: 3.490

9.  Clonal and spontaneous origins of fluconazole resistance in Candida albicans.

Authors:  J Xu; A R Ramos; R Vilgalys; T G Mitchell
Journal:  J Clin Microbiol       Date:  2000-03       Impact factor: 5.948

Review 10.  Antifungals: mechanism of action and resistance, established and novel drugs.

Authors:  N H Georgopapadakou
Journal:  Curr Opin Microbiol       Date:  1998-10       Impact factor: 7.934

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  40 in total

1.  Population genomics of drug resistance in Candida albicans.

Authors:  Leah E Cowen; André Nantel; Malcolm S Whiteway; David Y Thomas; Daniel C Tessier; Linda M Kohn; James B Anderson
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Review 2.  Horizontal gene transfer: a critical view.

Authors:  C G Kurland; B Canback; Otto G Berg
Journal:  Proc Natl Acad Sci U S A       Date:  2003-08-05       Impact factor: 11.205

3.  In vivo fluconazole pharmacodynamics and resistance development in a previously susceptible Candida albicans population examined by microbiologic and transcriptional profiling.

Authors:  D Andes; A Lepak; J Nett; L Lincoln; K Marchillo
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4.  Overexpression of the 14alpha-demethylase target gene (CYP51) mediates fungicide resistance in Blumeriella jaapii.

Authors:  Zhonghua Ma; Tyre J Proffer; Janette L Jacobs; George W Sundin
Journal:  Appl Environ Microbiol       Date:  2006-04       Impact factor: 4.792

Review 5.  Will resistance in fungi emerge on a scale similar to that seen in bacteria?

Authors:  H Hof
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2008-01-19       Impact factor: 3.267

Review 6.  Multilocus sequence typing of pathogenic Candida species.

Authors:  Frank C Odds; Mette D Jacobsen
Journal:  Eukaryot Cell       Date:  2008-05-02

Review 7.  Stress, drugs, and evolution: the role of cellular signaling in fungal drug resistance.

Authors:  Leah E Cowen; William J Steinbach
Journal:  Eukaryot Cell       Date:  2008-03-28

8.  Compensation of fitness costs and reversibility of antibiotic resistance mutations.

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Journal:  Antimicrob Agents Chemother       Date:  2010-02-22       Impact factor: 5.191

Review 9.  Mechanisms of genome evolution in Candida albicans.

Authors:  Iuliana V Ene; Richard J Bennett; Matthew Z Anderson
Journal:  Curr Opin Microbiol       Date:  2019-06-06       Impact factor: 7.934

10.  A competitive infection model of hematogenously disseminated candidiasis in mice redefines the role of Candida albicans IRS4 in pathogenesis.

Authors:  Suresh B Raman; M Hong Nguyen; Shaoji Cheng; Hassan Badrane; Kenneth A Iczkowski; Marilyn Wegener; Sarah L Gaffen; Aaron P Mitchell; Cornelius J Clancy
Journal:  Infect Immun       Date:  2013-02-19       Impact factor: 3.441

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