ArticleJournal of visualized experiments : JoVE2017
Whole Genome Sequencing of Candida glabrata for Detection of Markers of Antifungal Drug Resistance.
Article in Journal of visualized experiments : JoVE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
19 citing papers in PubMed, 22 citations in OpenAlex.
- Whole genome sequencing analysis of Candida glabrata isolates collected from patients with selected drug-resistant candidiasis hospitalized in Eastern Poland.Folia microbiologica · 2026Article
- Omics and Multiomics-Based Diagnostics for Invasive Candidiasis: Toward Precision Medicine.Molecular & cellular proteomics : MCP · 2025Review
- PTPRK regulates glycolysis and de novo lipogenesis to promote hepatocyte metabolic reprogramming in obesity.Nature communications · 2024Article
- Molecular Diagnostics for Invasive Fungal Diseases: Current and Future Approaches.Journal of fungi (Basel, Switzerland) · 2024Review
- Article
- Etiology of lower respiratory tract in pneumonia based on metagenomic next-generation sequencing: a retrospective study.Frontiers in cellular and infection microbiology · 2023Article
- Next Generation and Other Sequencing Technologies in Diagnostic Microbiology and Infectious Diseases.Genes · 2022Review
- The Diagnosis and Treatment of Fungal Endophthalmitis: An Update.Diagnostics (Basel, Switzerland) · 2022Review
- Antifungal and anti-biofilm activity of a new Spanish extract of propolis against Candida glabrata.BMC complementary medicine and therapies · 2021Article
- Molecular Markers of Antifungal Resistance: Potential Uses in Routine Practice and Future Perspectives.Journal of fungi (Basel, Switzerland) · 2021Review
- Molecular Diagnosis of Yeast Infections.Current fungal infection reports · 2021Review
- Molecular Typing of Candida glabrata.Mycopathologia · 2020Review
- Contamination of wounds with fecal bacteria in immuno-suppressed mice.Scientific reports · 2020Article
- Genetic Heterogeneity of AustralianOpen forum infectious diseases · 2020Article
- The Mycobiome in Health and Disease: Emerging Concepts, Methodologies and Challenges.Mycopathologia · 2020Review
- Anidulafungin Susceptibility Testing of Candida glabrata Isolates from Blood Cultures by the MALDI Biotyper Antibiotic (Antifungal) Susceptibility Test Rapid Assay.Antimicrobial agents and chemotherapy · 2019Article
- Recent trends in molecular diagnostics of yeast infections: from PCR to NGS.FEMS microbiology reviews · 2019Review
- Whole Genome Sequencing of AustralianFrontiers in microbiology · 2018Article
- Evaluation of antifungal activity of mint, pomegranate and coriander on fluconazole-resistantJournal of oral and maxillofacial pathology : JOMFPArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Candida glabrata can rapidly acquire mutations that result in drug resistance, especially to azoles and echinocandins. Identification of genetic mutations is essential, as resistance detected in vitro can often be correlated with clinical failure. We examined the feasibility of using whole genome sequencing (WGS) for genome-wide analysis of antifungal drug resistance in C. glabrata. The aim was torecognize enablers and barriers in the implementation WGS and measure its effectiveness. This paper outlines the key quality control checkpoints and essential components of WGS methodology to investigate genetic markers associated with reduced susceptibility to antifungal agents. It also estimates the accuracy of data analysis and turn-around-time of testing. Phenotypic susceptibility of 12 clinical, and one ATCC strain of C. glabrata was determined through antifungal susceptibility testing. These included three isolate pairs, from three patients, that developed rise in drug minimum inhibitory concentrations. In two pairs, the second isolate of each pair developed resistance to echinocandins. The second isolate of the third pair developed resistance to 5-flucytosine. The remaining comprised of susceptible and azole resistant isolates. Single nucleotide polymorphisms (SNPs) in genes linked to echinocandin, azole and 5-flucytosine resistance were confirmed in resistant isolates through WGS using the next generation sequencing. Non-synonymous SNPs in antifungal resistance genes such as FKS1, FKS2, CgPDR1, CgCDR1 and FCY2 were identified. Overall, an average of 98% of the WGS reads of C. glabrata isolates mapped to the reference genome with about 75-fold read depth coverage. The turnaround time and cost were comparable to Sanger sequencing. In conclusion, WGS of C. glabrata was feasible in revealing clinically significant gene mutations involved in resistance to different antifungal drug classes without the need for multiple PCR/DNA sequencing reactions. This represents a positive step towards establishing WGS capability in the clinical laboratory for simultaneous detection of antifungal resistance conferring substitutions.
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Registered trials
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