Development and Validation of an <i>in-House</i> Library of Colombian <i>Candida auris</i> Strains with MALDI-TOF MS to Improve Yeast Identification

Background: <i>Candida auris</i> is characterized for having a high genetic variability among species. MALDI-TOF MS library contains spectra from only three strains of <i>C. auris</i>, which makes difficult the identification process and gives low scores at the species level....

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Bibliographic Details
Main Authors: Andrés Ceballos-Garzon, Daniela Amado, Norida Vélez, María José Jiménez-A, Crescencio Rodríguez, Claudia Marcela Parra-Giraldo
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Journal of Fungi
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Online Access:https://www.mdpi.com/2309-608X/6/2/72
Description
Summary:Background: <i>Candida auris</i> is characterized for having a high genetic variability among species. MALDI-TOF MS library contains spectra from only three strains of <i>C. auris</i>, which makes difficult the identification process and gives low scores at the species level. Our aim was to construct and validate an internal library to improve <i>C. auris</i> identification with Colombian clinical strains. Methods: From 30 clinical strains, 770 mass spectra were obtained for the construction of the database. The validation was performed with 300 strains to compare the identification results in the BDAL and <i>C. auris</i> Colombia libraries. Results: Our library allowed a complete, 100% identification of the evaluated strains and a significant improvement in the scores obtained, showing a better performance compared to the Bruker BDAL library. Conclusions: The strengthening of the database is a great opportunity to improve the scoring and <i>C. auris</i> identification. Library data are available via ProteomeXchange with identifier PXD016387.
ISSN:2309-608X