This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowReprints and Permissions
Right arrow Copyright Information
Right arrow Books from ASM Press
Right arrow MicrobeWorld
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Ciardo, D. E.
Right arrow Articles by Bosshard, P. P.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Ciardo, D. E.
Right arrow Articles by Bosshard, P. P.

 Previous Article  |  Next Article 

Journal of Clinical Microbiology, January 2006, p. 77-84, Vol. 44, No. 1
0095-1137/06/$08.00+0     doi:10.1128/JCM.44.1.77-84.2006
Copyright © 2006, American Society for Microbiology. All Rights Reserved.

Internal Transcribed Spacer Sequencing versus Biochemical Profiling for Identification of Medically Important Yeasts

D. E. Ciardo, G. Schär, E. C. Böttger, M. Altwegg,{dagger} and P. P. Bosshard*

Institut für Medizinische Mikrobiologie, Universität Zürich, 8006 Zürich, Switzerland

Received 28 June 2005/ Returned for modification 15 August 2005/ Accepted 12 October 2005

In this study, we established an in-house database of yeast internal transcribed spacer (ITS) sequences. This database includes medically important as well as colonizing yeasts that frequently occur in the diagnostic laboratory. In a prospective study, we compared molecular identification with phenotypic identification by using the ID32C system (bioMérieux) for yeast strains that could not be identified by a combination of CHROMagar Candida and morphology on rice agar. In total, 113 yeast strains were included in the study. By sequence analysis, 98% of all strains were identified correctly to the species level. With the ID32C, 87% of all strains were identified correctly to the species or genus level, 7% of the isolates could not be identified, and 6% of the isolates were misidentified, most of them as Candida rugosa or Candida utilis. For a diagnostic algorithm, we suggest a three-step procedure which integrates morphological criteria, biochemical investigation, and sequence analysis of the ITS region.


* Corresponding author. Mailing address: Institute of Medical Microbiology, University of Zürich, Gloriastr. 30/32, 8006 Zürich, Switzerland. Phone: 41 44 634 27 00. Fax: 41 44 634 49 06. E-mail: philboss{at}immv.unizh.ch.

{dagger} Present address: Bio-Analytica AG, 6000 Luzern 6, Switzerland.


Journal of Clinical Microbiology, January 2006, p. 77-84, Vol. 44, No. 1
0095-1137/06/$08.00+0     doi:10.1128/JCM.44.1.77-84.2006
Copyright © 2006, American Society for Microbiology. All Rights Reserved.




This article has been cited by other articles:

  • Lau, A., Sorrell, T. C., Lee, O., Stanley, K., Halliday, C. (2008). Colony Multiplex-Tandem PCR for Rapid, Accurate Identification of Fungal Cultures. J. Clin. Microbiol. 46: 4058-4060 [Abstract] [Full Text]  
  • Zhou, X., Kong, F., Sorrell, T. C., Wang, H., Duan, Y., Chen, S. C. A. (2008). Practical Method for Detection and Identification of Candida, Aspergillus, and Scedosporium spp. by Use of Rolling-Circle Amplification. J. Clin. Microbiol. 46: 2423-2427 [Abstract] [Full Text]  
  • Zeng, X., Kong, F., Halliday, C., Chen, S., Lau, A., Playford, G., Sorrell, T. C. (2007). Reverse Line Blot Hybridization Assay for Identification of Medically Important Fungi from Culture and Clinical Specimens. J. Clin. Microbiol. 45: 2872-2880 [Abstract] [Full Text]  
  • Leaw, S. N., Chang, H. C., Barton, R., Bouchara, J.-P., Chang, T. C. (2007). Identification of Medically Important Candida and Non-Candida Yeast Species by an Oligonucleotide Array. J. Clin. Microbiol. 45: 2220-2229 [Abstract] [Full Text]  
  • Lau, A., Chen, S., Sorrell, T., Carter, D., Malik, R., Martin, P., Halliday, C. (2007). Development and Clinical Application of a Panfungal PCR Assay To Detect and Identify Fungal DNA in Tissue Specimens. J. Clin. Microbiol. 45: 380-385 [Abstract] [Full Text]