Journal article
Identification of moulds in the diagnostic laboratory--an algorithm implementing molecular and phenotypic methods.
- Ciardo DE Institut für Medizinische Mikrobiologie, Universität Zürich, 8006 Zürich, Switzerland. dciardo@immv.unizh.ch
- Schär G
- Altwegg M
- Böttger EC
- Bosshard PP
- 2007-07-31
Published in:
- Diagnostic microbiology and infectious disease. - 2007
Algorithms
Database Management Systems
Databases, Genetic
Fungi
Humans
Microbiological Techniques
Mycoses
Phenotype
English
Sequence analysis provides a valuable alternative to phenotypic identification of moulds, especially for isolates lacking characteristic morphology. In this comparative prospective study, isolates that could not be identified by standard phenotypic criteria within 5 days (n = 244) were subjected to sequence analysis and further in-depth phenotypic investigations. Comparison of sequence-based with extended phenotypic identification revealed that sequence analysis was more precise in 52.0% of the isolates; in 38.6% of the isolates, both methods gave concordant results. The construction of a database consisting of high-quality sequences allowed improvement of sequence-based identification. Based on these results, we propose a diagnostic algorithm for the effective use of both phenotypic and genetic procedures for identification of moulds in the diagnostic laboratory.
- Language
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- English
- Open access status
- closed
- Identifiers
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- DOI 10.1016/j.diagmicrobio.2007.04.020
- PMID 17662553
- Persistent URL
- https://sonar.ch/global/documents/219396
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