ArticleGenome biology2010
Evolutionary divergence in the fungal response to fluconazole revealed by soft clustering.
Article in Genome biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
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Who cites it
23 citing papers in PubMed, 40 citations in OpenAlex.
- Unravelling azole resistance in fungal pathogens: molecular mechanisms, diagnostic challenges, and therapeutic strategies.World journal of microbiology & biotechnology · 2025Review
- Otilonium Bromide Exhibits Potent Antifungal Effects by Blocking Ergosterol Plasma Membrane Localization and Triggering Cytotoxic Autophagy in Candida Albicans.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Natural trait variation across Saccharomycotina species.FEMS yeast research · 2024Review
- Coordinated Regulation of Membrane Homeostasis and Drug Accumulation by Novel Kinase STK-17 in Response to Antifungal Azole Treatment.Microbiology spectrum · 2022Article
- What 'Omics can tell us about antifungal adaptation.FEMS yeast research · 2022Review
- Potentiated inhibition of Trichoderma virens and other environmental fungi by new biocide combinations.Applied microbiology and biotechnology · 2021Article
- Review
- Amn1 governs post-mitotic cell separation in Saccharomyces cerevisiae.PLoS genetics · 2018Article
- Comparative Transcriptomics Highlights New Features of the Iron Starvation Response in the Human PathogenFrontiers in microbiology · 2018Article
- Reconstruction and Analysis of the Evolution of Modular Transcriptional Regulatory Programs Using Arboretum.Methods in molecular biology (Clifton, N.J.) · 2016Article
- A Network of Paralogous Stress Response Transcription Factors in the Human Pathogen Candida glabrata.Frontiers in microbiology · 2016Article
- An Antifungal Combination Matrix Identifies a Rich Pool of Adjuvant Molecules that Enhance Drug Activity against Diverse Fungal Pathogens.Cell reports · 2015Article
- ModuleBlast: identifying activated sub-networks within and across species.Nucleic acids research · 2015Article
- Article
- Arboretum: reconstruction and analysis of the evolutionary history of condition-specific transcriptional modules.Genome research · 2013Article
- Milbemycins: more than efflux inhibitors for fungal pathogens.Antimicrobial agents and chemotherapy · 2013Article
- DREM 2.0: Improved reconstruction of dynamic regulatory networks from time-series expression data.BMC systems biology · 2012Article
- Matching experiments across species using expression values and textual information.Bioinformatics (Oxford, England) · 2012Article
- DNA replication stress differentially regulates G1/S genes via Rad53-dependent inactivation of Nrm1.The EMBO journal · 2012Article
- Biological interaction networks are conserved at the module level.BMC systems biology · 2011Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
backgroundFungal infections are an emerging health risk, especially those involving yeast that are resistant to antifungal agents. To understand the range of mechanisms by which yeasts can respond to anti-fungals, we compared gene expression patterns across three evolutionarily distant species - Saccharomyces cerevisiae, Candida glabrata and Kluyveromyces lactis - over time following fluconazole exposure.
resultsConserved and diverged expression patterns were identified using a novel soft clustering algorithm that concurrently clusters data from all species while incorporating sequence orthology. The analysis suggests complementary strategies for coping with ergosterol depletion by azoles - Saccharomyces imports exogenous ergosterol, Candida exports fluconazole, while Kluyveromyces does neither, leading to extreme sensitivity. In support of this hypothesis we find that only Saccharomyces becomes more azole resistant in ergosterol-supplemented media; that this depends on sterol importers Aus1 and Pdr11; and that transgenic expression of sterol importers in Kluyveromyces alleviates its drug sensitivity.
conclusionsWe have compared the dynamic transcriptional responses of three diverse yeast species to fluconazole treatment using a novel clustering algorithm. This approach revealed significant divergence among regulatory programs associated with fluconazole sensitivity. In future, such approaches might be used to survey a wider range of species, drug concentrations and stimuli to reveal conserved and divergent molecular response pathways.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.