Cited by 247Antifungal resistance and susceptibilityYeasts and Rust Fungi StudiesFungal and yeast genetics research

Draft genome of a commonly misdiagnosed multidrug resistant pathogen Candida auris

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Chatterjee, Sharanya, Alampalli, Shuba Varshini, Nageshan, Rishi Kumar, Chettiar, Sivarajan T., Joshi, Sangeeta, Tatu, Utpal S.·2015·BMC Genomics

Abstract

BACKGROUND: Candida auris is a multidrug resistant, emerging agent of fungemia in humans. Its actual global distribution remains obscure as the current commercial methods of clinical diagnosis misidentify it as C. haemulonii. Here we report the first draft genome of C. auris to explore the genomic basis of virulence and unique differences that could be employed for differential diagnosis. RESULTS: More than 99.5 % of the C. auris genomic reads did not align to the current whole (or draft) genome sequences of Candida albicans, Candida lusitaniae, Candida glabrata and Saccharomyces cerevisiae; thereby indicating its divergence from the active Candida clade. The genome spans around 12.49 Mb with 8527 predicted genes. Functional annotation revealed that among the sequenced Candida species, it is closest to the hemiascomycete species Clavispora lusitaniae. Comparison with the well-studied species Candida albicans showed that it shares significant virulence attributes with other pathogenic Candida species such as oligopeptide transporters, mannosyl transfersases, secreted proteases and genes involved in biofilm formation. We also identified a plethora of transporters belonging to the ABC and major facilitator superfamily along with known MDR transcription factors which explained its high tolerance to antifungal drugs. CONCLUSIONS: Our study emphasizes an urgent need for accurate fungal screening methods such as PCR and electrophoretic karyotyping to ensure proper management of fungemia. Our work highlights the potential genetic mechanisms involved in virulence and pathogenicity of an important emerging human pathogen namely C. auris. Owing to its diversity at the genomic scale; we expect the genome sequence to be a useful resource to map species specific differences that will help develop accurate diagnostic markers and better drug targets.

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Authors
Chatterjee, S., Alampalli, S. V., Nageshan, R. K., Chettiar, S. T., Joshi, S., & Tatu, U. S.
Affiliations
  • Indian Institute of Science Bangalore (IN)
  • Manipal Hospital (IN)
Corresponding author
Tatu, Utpal S.
Venue
BMC Genomics
Published
2015-09-07
Volume
16
Issue
1
Pages
686-686
ISSN
1471-2164 (ISSN-L)
OpenAlex
W1817471568
Cited by
247
References
70
Citations by year
2026: 12 · 2025: 16 · 2024: 17 · 2023: 21 · 2022: 26 · 2021: 22 · 2020: 41 · 2019: 32 · 2018: 27 · 2017: 28 · 2016: 4 · 2015: 1
FWCI
15.54
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • BMC Genomics (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • NOT FOUND REPOSITORY (Indian Institute of Science Bangalore) (acceptedVersion)
Funders
  • Indian Institute of Science
  • Department of Biotechnology, Ministry of Science and Technology, India
  • Department of Science and Technology, Ministry of Science and Technology, India
Topics
  • Health Sciences › Medicine › Infectious Diseases › Antifungal resistance and susceptibility
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Yeasts and Rust Fungi Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fungal and yeast genetics research
Keywords
Candida auris, draft genome sequence, multidrug resistance, fungemia, misdiagnosis, Candida haemulonii, Candida lusitaniae, virulence factors, biofilm formation, ABC transporters, major facilitator superfamily, antifungal drug tolerance, differential diagnosis, emerging fungal pathogens
MeSH terms
Mating Factor, Amino Acid Sequence, Antifungal Agents, Candida, Candidiasis, Codon, Humans, Microbial Sensitivity Tests, Molecular Sequence Data, Peptides, Phylogeny, Virulence, Genome, Fungal, Drug Resistance, Multiple, Evolution, Molecular, Computational Biology, DNA, Intergenic, Drug Resistance, Fungal, Genetic Loci, Molecular Sequence Annotation, High-Throughput Nucleotide Sequencing

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