YEAST PANEL multiplex PCR for identification of clinically important yeast species: stepwise diagnostic strategy, useful for developing countries

Amir Arastehfar, Wenjie Fang, Weihua Pan, Michaela Lackner, Wanqing Liao, Parisa Badiee, Kamiar Zomorodian, Hamid Badali, Ferry Hagen, Cornelia Lass-Flörl, Teun Boekhout

Research output: Contribution to journal/periodicalArticleScientificpeer-review

Abstract

Identification of opportunistic yeasts in developing countries is mainly performed by phenotypic assays, which are time-consuming and prone to errors. Wrong species identification may result in suboptimal treatment and inaccurate epidemiological data. To improve rapidity and accuracy of species identification, a diagnostic strategy using a stepwise "YEAST PANEL multiplex PCR assays" targeting 21 clinically important yeast species of Candida, Trichosporon, Rhodotorula, Cryptococcus, and Geotrichum was designed. Four hundred CBS reference strains were used for optimization and specificity testing. Eight hundred clinical species were prepared in blinded sets for multiplex polymerase chain reaction (PCR) and matrix-assisted laser desorption time of flight mass spectrophotometry (MALDI-TOF MS) investigation. Results obtained from YEAST PANEL multiplex PCR assay were 100% consistent with those of MALDI-TOF MS. Utilization of pure colony testing showed distinct amplicons for each species, thus eliminating the need for DNA extraction. The targeted yeast species of this assay are responsible for 95% of the yeast infections. In conclusion, due to the high accuracy and coverage of a broad range of yeasts, this assay could be useful for identification in routine laboratories and epidemiological studies.

Original languageEnglish
JournalDiagnostic Microbiology and Infectious Disease
DOIs
Publication statusE-pub ahead of print - 21 Sep 2018

Fingerprint

Dive into the research topics of 'YEAST PANEL multiplex PCR for identification of clinically important yeast species: stepwise diagnostic strategy, useful for developing countries'. Together they form a unique fingerprint.

Cite this