Title: Rapid identification of Candida species by using nuclear magnetic resonance spectroscopy and a statistical classification strategy
Authors: Himmelreich, Uwe ×
Somorjai, RL
Dolenko, B
Lee, OC
Daniel, HM
Murray, R
Mountford, CE
Sorrell, TC #
Issue Date: Aug-2003
Publisher: Amer soc microbiology
Series Title: Applied and Environmental Microbiology vol:69 issue:8 pages:4566-4574
Abstract: Nuclear magnetic resonance (NMR) spectra were acquired from suspensions of clinically important yeast species of the genus Candida to characterize the relationship between metabolite profiles and species identification. Major metabolites were identified by using two-dimensional correlation NMR spectroscopy. One-dimensional proton NMR spectra were analyzed by using a staged statistical classification strategy. Analysis of NMR spectra from 442 isolates of Candida albicans, C glabrata, C krusei, C parapsilosis, and C tropicalis resulted in rapid, accurate identification when compared with conventional and DNA-based identification. Spectral regions used for the classification of the five yeast species revealed species-specific differences in relative amounts of lipids, trehalose, polyols, and other metabolites. Isolates of C parapsilosis and C glabrata with unusual PCR fingerprinting patterns also generated atypical NMR spectra, suggesting the possibility of intraspecies discontinuity. We conclude that NMR spectroscopy combined with a statistical classification strategy is a rapid, nondestructive, and potentially valuable method for identification and chemotaxonomic characterization that may be broadly applicable to fungi and other microorganisms.
ISSN: 0099-2240
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Radiology
Biomedical MRI
× corresponding author
# (joint) last author

Files in This Item:

There are no files associated with this item.

Request a copy


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science