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Updated: May 7, 2026

Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS
Published on: July 11, 2016
Identification of fungal clinical isolates by matrix-assisted laser desorption ionization-time-of-flight mass
Laura Ferreira1, Fernando Sánchez-Juanes, Magdalena Vega
1Juan Luis Muñoz Bellido, Servicio de Microbiología. Hospital Universitario de Salamanca, Paseo de San Vicente 58-182. 37007 Salamanca, Spain. jlmubel@usal.es.
Background:
Recently, bacterial identification by MALDI-TOF MS has acquired a high relevance in terms of speed and reliability. Conventional mycological identification has some disadvantages: it is frequently slow, reliability is sometimes low, and an extensive experience is required. The risk population for fungal infections, and therefore their clinical significance has progressively increased in recent years.
Methods:
153 yeast and mould clinical isolates were analyzed by MALDI-TOF MS and conventional identification. When both methods were discrepant to the genus or species level, ITS-2 sequencing was performed. Results. The correlation in yeasts identification between conventional identification methods and MALDI-TOF MS was extremely high (99.2% to the species level and 100% to the genus level). The only discrepancy was checked by ITS-2 sequencing and confirmed the MALDI-TOF identification. The correlation in moulds identification was more heterogeneous. 68.7% of the isolates showed correlation at least to the genus level and 40.6% to the species level. Therefore, the correlation between conventional identification and MALDI-TOF MS in fungal identification was, in whole, 87% to the species level, and 93.5% to the genus level.
Conclusions:
Identification of fungi by MALDI-TOF MS is reliable and shows potential advantages over conventional identification methods.
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