Affiliation:
1. Institute of Biological Sciences, University of Wales, Aberystwyth, Ceredigion SY23 3DA,1 and
2. Department of Microbial Diseases, St. John’s Institute of Dermatology, St. Thomas’ Hospital, London SE1 7EH,2 United Kingdom
Abstract
ABSTRACT
Two rapid spectroscopic approaches for whole-organism fingerprinting of pyrolysis-mass spectrometry (PyMS) and Fourier transform-infrared spectroscopy (FT-IR) were used to analyze a group of 29 clinical and reference
Candida
isolates. These strains had been identified by conventional means as belonging to one of the three species
Candida albicans
,
C. dubliniensis
(previously reported as atypical
C. albicans
), and
C. stellatoidea
(which is also closely related to
C. albicans
). To observe the relationships of the 29 isolates as judged by PyMS and FT-IR, the spectral data were clustered by discriminant analysis. On visual inspection of the cluster analyses from both methods, three distinct clusters, which were discrete for each of the
Candida
species, could be seen. Moreover, these phenetic classifications were found to be very similar to those obtained by genotypic studies which examined the
Hin
fI restriction enzyme digestion patterns of genomic DNA and by use of the 27A
C. albicans
-specific probe. Both spectroscopic techniques are rapid (typically, 2 min for PyMS and 10 s for FT-IR) and were shown to be capable of successfully discriminating between closely related isolates of
C. albicans
,
C. dubliniensis
, and
C. stellatoidea
. We believe that these whole-organism fingerprinting methods could provide opportunities for automation in clinical microbial laboratories, improving turnaround times and the use of resources.
Publisher
American Society for Microbiology
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