Mycopathologia

, Volume 183, Issue 3, pp 585–590 | Cite as

Cutaneotrichosporon (Trichosporon) debeurmannianum: A Rare Yeast Isolated from Blood and Urine Samples

  • Reema Nath
  • Pallabi Sargiary
  • Biswajyoti Borkakoty
  • Pratap Parida
Short Communication
  • 74 Downloads

Abstract

Cutaneotrichosporon (Trichosporon) debeurmannianum is a rarely isolated yeast from clinical samples. Nine isolates of this yeast were identified from clinical samples within a period of 3 years from June 2012 to May 2015. These isolates were from blood and urine samples sent to a clinical mycology laboratory of a tertiary care hospital in Assam, North East India. Clinically, the patients were diagnosed as septicemia and urinary tract infection. The age of the patients ranged from 2 to 50 years. Identification was made by sequencing the ITS region of ribosomal RNA gene. Antifungal susceptibility test by disk diffusion method (CLSI, M44-A) showed all the isolates to be sensitive to fluconazole and voriconazole. Vitek 2 compact commercial yeast identification system misidentified this yeast as Cryptococcus laurentii and low discrimination Cryptococcus laurentii/Trichosporon mucoides. This species was originally named as Trichosporon debeurmannianum. In 2015, this yeast has been included into new genera Cutaneotrichosporon based on an integrated phylogenetic classification of the Tremellomycetes. To the best of our knowledge, this is the first report of identification of this species from blood and urine samples of clinically suspected cases. We are reporting these isolates because of their rarity in clinical samples. The pathogenic potential and epidemiological relevance of this yeast remains to be seen.

Keywords

Cutaneotrichosporon debeurmannianum Trichosporon debeurmannianum Cryptococcus laurentii Trichosporon mucoides Trichosporon spp. 

Notes

Acknowledgements

Authors acknowledge the financial grant from the Department of Biotechnology, Ministry of Science and Technology, Government of India (No.BT/234/NE/TPB 2011).

Compliance with Ethical Standards

Conflict of interest

Authors declare no conflict of interest.

Supplementary material

11046_2017_231_MOESM1_ESM.png (72 kb)
Supplementary material 1 (PNG 71 kb)

References

  1. 1.
    Sugita T, Takashima M, Nakase T, Ichikawa T, Ikeda R, Shinoda T. Two new yeasts, Trichosporon debeurmannianum sp. nov. and Trichosporon dermatis sp. nov. transferred from the Cryptococcus humicola complex. Int J Syst Evol Microbiol. 2001;51:1221–8.CrossRefPubMedGoogle Scholar
  2. 2.
    Liu X-Z, Wang Q-M, Göker M, Groenewald M, Kachalkin AV, Lumbsch HT, Bai F-Y. Towards an integrated phylogenetic classification of the Tremellomycetes. Stud Mycol. 2015;81:85–147.CrossRefPubMedGoogle Scholar
  3. 3.
    White TJ, Bruns T, Lee S, Taylor JW. Amplification and direct sequencing of fungal ribosomal RNA genes for phylogenetics. In: Innis MA, Gelfand DH, Sninsky JJ, White TJ, editors. PCR protocols: a guide to methods and applications. New York: Academic Press, Inc.; 1990. p. 315–22.Google Scholar
  4. 4.
    Irinyi L, Serena C, Garcia-Hermoso D. International Society of Human and Animal Mycology (ISHAM)-ITS reference DNA barcoding database—the quality controlled standard tool for routine identification of human and animal pathogenic fungi. Med Mycol. 2015;53:313–37.CrossRefPubMedGoogle Scholar
  5. 5.
    Thompson JD, Higgins DG, Gibson TJ. Clustal W. Improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position specific gap penalties and weight matrix choice. Nucleic Acids Res. 1994;22:4673–80.CrossRefPubMedPubMedCentralGoogle Scholar
  6. 6.
    Tamura K, Stecher G, Peterson D, Filipski A, Kumar S. MEGA6: molecular evolutionary genetics analysis version 6.0. Mol Biol Evol. 2013;30:2725–9.CrossRefPubMedPubMedCentralGoogle Scholar
  7. 7.
    Tamura K. Estimation of the number of nucleotide substitutions when there are strong transition–transversion and G + C-content biases. Mol Biol Evol. 1992;9:678–87.PubMedGoogle Scholar
  8. 8.
    Kimura M. A simple method for estimating evolutionary rate of base substitutions through comparative studies of nucleotide sequences. J Mol Evol. 1980;6:111–20.CrossRefGoogle Scholar
  9. 9.
    Method for antifungal disk diffusion susceptibility testing of yeasts: approved standard. Wayne, PA: Clinical and Laboratory Standards Institute; 2006. Clinical and Laboratory Standards Institute. CLSI M44-A.Google Scholar
  10. 10.
    Clinical and Laboratory Standards Institute. Zone diameter interpretive standards, corresponding minimal inhibitory concentration (MIC) interpretive breakpoints, and quality control limits for antifungal disk diffusion susceptibility testing of yeasts; Informational supplement M44-S2. Wayne: Clinical and Laboratory Standards Institute; 2007.Google Scholar
  11. 11.
    Pfaller MA, Diekema DJ, Gibbs DL, Newell VA, Bijie H, Dzierzanowska D, et al. Results from the ARTEMIS DISK Global Antifungal Surveillance Study, 1997 to 2007: 10.5-year analysis of susceptibilities of non candidal yeast species to fluconazole and voriconazole determined by CLSI standardized disk diffusion testing. J Clin Microbiol. 2009;47:117–23.CrossRefPubMedGoogle Scholar
  12. 12.
    Sugita T, Takashima M, Ikeda R, Nakase T, Shinoda T. Phylogenetic and taxonomic heterogeneity of Cryptococcus humicolus by analysis of the sequences of the internal transcribed spacer regions and 18S rDNA, and the phylogenetic relationships of C. humicolus, C. curvatus, and the genus Trichosporon. Microbiol Immunol. 2000;44:455–61.CrossRefPubMedGoogle Scholar

Copyright information

© Springer Science+Business Media B.V., part of Springer Nature 2017

Authors and Affiliations

  1. 1.Department of MicrobiologyJorhat Medical College and HospitalJorhatIndia
  2. 2.Regional Medical Research Centre (NE Region)DibrugarhIndia

Personalised recommendations