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Evolution of drug resistance in experimental populations of Candida albicans

L E Cowen1, D Sanglard, D Calabrese

  • 1Department of Botany, University of Toronto, Mississauga, Ontario, Canada L5L 1C6. lcowen@credit.erin.utoronto.ca

Journal of Bacteriology
|February 29, 2000
PubMed

Insights

Experimental evolution of Candida albicans demonstrates that adaptation to fluconazole, an antifungal drug, occurs through random mutations. These genetic changes lead to increased drug resistance and altered genomic profiles over time.

Area of Science:

  • Microbiology
  • Evolutionary Biology
  • Genetics

Background:

  • Antifungal resistance is a growing public health concern.
  • Candida albicans is a common opportunistic fungal pathogen.
  • Azole antifungals like fluconazole are widely used to treat Candida infections.

Purpose of the Study:

  • To investigate the evolutionary pathways of fluconazole resistance in Candida albicans.
  • To identify genetic mechanisms underlying adaptation to antifungal drugs.
  • To understand the role of chance in the development of drug resistance.

Main Methods:

  • Experimental evolution of Candida albicans populations over 330 generations.
  • Monitoring of fluconazole minimum inhibitory concentration (MIC).
  • Analysis of gene expression (CDR1, CDR2, ERG11, MDR1), ergosterol content, and genomic changes (loss of heterozygosity, DNA fingerprinting, karyotyping).

Main Results:

  • Populations exposed to fluconazole showed increased MIC, indicating adaptation and resistance.
  • Acquired fluconazole resistance correlated with cross-resistance to other azoles (ketoconazole, itraconazole).
  • Distinct gene overexpression patterns and genomic alterations were observed in resistant populations, highlighting the role of chance mutations.

Conclusions:

  • Adaptation to fluconazole in Candida albicans is driven by random mutations conferring a selective advantage.
  • The evolution of azole drug resistance involves complex genetic changes, including gene overexpression and broader genomic instability.
  • Understanding these evolutionary dynamics is crucial for developing effective antifungal therapies.

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