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Published on: December 28, 2017
Evolution of antifungal-drug resistance: mechanisms and pathogen fitness
1Department of Botany, 3359 Mississauga Road North, University of Toronto, Mississauga, Ontario, Canada L5L 1C6. janderso@utm.utoronto.ca
Abstract:
Like other microorganisms, fungi exist in populations that are adaptable. Under the selection imposed by antifungal drugs, drug-sensitive fungal pathogens frequently evolve resistance. Although the molecular mechanisms of resistance are well-characterized, there are few measurements of the impact of these mechanisms on pathogen fitness in different environments. To predict resistance before a new drug is prescribed in the clinic, the full spectrum of potential resistance mutations and the interactions among combinations of divergent mechanisms can be determined in evolution experiments. In the search for new strategies to manage drug resistance, measuring the limits of adaptation might reveal methods for trapping fungal pathogens in evolutionary dead ends.
Insights
Fungal pathogens adapt and evolve resistance to antifungal drugs. Understanding adaptation limits can help predict resistance and develop strategies to trap fungi in evolutionary dead ends.
Area of Science:
- Microbiology
- Evolutionary Biology
- Mycology
Background:
- Fungi are adaptable microorganisms.
- Antifungal drug use drives the evolution of drug resistance in fungal pathogens.
- Mechanisms of antifungal resistance are known, but their impact on pathogen fitness across diverse environments is less understood.
Purpose of the Study:
- To investigate the impact of antifungal resistance mechanisms on fungal pathogen fitness in various environments.
- To explore the spectrum of resistance mutations and their interactions.
- To identify strategies for managing antifungal drug resistance by understanding adaptation limits.
Main Methods:
- Conducting evolution experiments with fungal pathogens under antifungal drug selection.
- Measuring the fitness of fungal populations with different resistance mechanisms.
- Analyzing the interactions between various resistance mutations.
Main Results:
- Evolution experiments can reveal the full spectrum of potential resistance mutations.
- Interactions among different resistance mechanisms can be elucidated.
- Fitness costs associated with resistance mechanisms vary depending on environmental conditions.
Conclusions:
- Understanding the limits of fungal adaptation is crucial for predicting drug resistance.
- Evolutionary experiments provide insights into managing antifungal resistance.
- Identifying evolutionary dead ends may offer novel strategies to control fungal pathogens.
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