Cited by 25Antifungal resistance and susceptibilityFungal and yeast genetics researchFungal Plant Pathogen Control

Identification and characterization of mediators of fluconazole tolerance in Candida albicans

Open access
Delarze, Eric, Brandt, Ludivine, Trachsel, Emilie, Patxot, Marion, Pralong, Claire, Maranzano, Fabio, Chauvel, Murielle, Legrand, Mélanie +4 more·2020·Frontiers in Microbiology

Abstract

Candida albicans is an important human pathogen and a major concern in intensive care units around the world. C. albicans infections are associated with a high mortality despite the use of antifungal treatments. One of the causes of therapeutic failures is the acquisition of antifungal resistance by mutations in the C. albicans genome. Fluconazole (FLC) is one of the most widely used antifungal and mechanisms of FLC resistance occurring by mutations have been extensively investigated. However, some clinical isolates are known to be able to survive at high FLC concentrations without acquiring resistance mutations, a phenotype known as tolerance. Mechanisms behind FLC tolerance are not well studied, mainly due to the lack of a proper way to identify and quantify tolerance in clinical isolates. We proposed here culture conditions to investigate FLC tolerance as well as an easy and efficient method to identity and quantify tolerance to FLC. The screening of C. albicans strain collections revealed that FLC tolerance is pH- and strain-dependent, suggesting the involvement of multiple mechanisms. Here, we addressed the identification of FLC tolerance mediators in C. albicans by an overexpression strategy focusing on 572 C. albicans genes. This strategy led to the identification of two transcription factors, CRZ1 and GZF3. CRZ1 is a C2H2-type transcription factor that is part of the calcineurin-dependent pathway in C. albicans, while GZF3 is a GATA-type transcription factor of unknown function in C. albicans. Overexpression of each gene resulted in an increase of FLC tolerance, however, only the deletion of CRZ1 in clinical FLC-tolerant strains consistently decreased their FLC tolerance. Transcription profiling of clinical isolates with variable levels of FLC tolerance confirmed a calcineurin-dependent signature in these isolates when exposed to FLC.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3389/fmicb.2020.591140

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • GZF3, a GATA-type transcription factor of unknown function, was one of 2 genes, alongside CRZ1, identified in an overexpression screen of 572 genes for FLC tolerance.

    “Also intriguing and worthy of further study is GZF3, a GATA-type transcription factor of unknown function, one of 2 genes (alongside CRZ1) identified in an overexpression screen of 572 genes for FLC tolerance (Delarze et al. 2020).”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 44 · Cited by 25

Research works printed but not linked: 1

  1. Delarze E. (2019). Identification and Characterization of Mediators of Fluconazole Tolerance in Candida albicans. Thesis. Lausanne: University of Lausanne. PMC7686038 33262748

Authors
Delarze, E., Brandt, L., Trachsel, E., Patxot, M., Pralong, C., Maranzano, F., Chauvel, M., Legrand, M., Znaidi, S., Bougnoux, M.-E., d’Enfert, C., & Sanglard, D.
Affiliations
  • Centre Hospitalier Universitaire Vaudois (CH)
  • University of Lausanne (CH)
  • Institut Pasteur (FR)
  • Hôpital Necker-Enfants Malades (FR)
Corresponding author
Sanglard, Dominique
Venue
Frontiers in Microbiology
Published
2020-11-11
Volume
11
Pages
591140-591140
ISSN
1664-302X (ISSN-L)
OpenAlex
W3103852801
Cited by
25
References
44
Citations by year
2026: 4 · 2025: 4 · 2024: 3 · 2023: 4 · 2022: 6 · 2021: 3 · 2020: 1
FWCI
0.46
Type
journal article
Language
en
Open access
Locations
  • Frontiers in Microbiology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • SERVAL (Université de Lausanne) (publishedVersion, cc-by)
  • HAL (submittedVersion, cc-by)
  • IRIS (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • SERVAL (Université de Lausanne) (submittedVersion, other-oa)
Funders
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (31003A_146936)
Topics
  • Health Sciences › Medicine › Infectious Diseases › Antifungal resistance and susceptibility
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fungal and yeast genetics research
  • Life Sciences › Agricultural and Biological Sciences › Ecology, Evolution, Behavior and Systematics › Fungal Plant Pathogen Control
Keywords
Candida albicans, antifungal resistance, Crz1, transcription factors, calcineurin signaling, C2H2 zinc finger, GATA transcription factors, gene overexpression, clinical isolates, pH dependence, gene expression profiling

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review