Identification of Food Spoilage Fungi Using MALDI-TOF MS: Spectral Database Development and Application to Species Complex

• Published in: Journal of fungi (Basel) Vol. 10; no. 7; p. 456
• Main Authors: Rolland, Nolwenn, Girard, Victoria, Monnin, Valérie, Arend, Sandrine, Perrin, Guillaume, Ballan, Damien, Beau, Rachel, Collin, Valérie, D'Arbaumont, Maëlle, Weill, Amélie, Deniel, Franck, Tréguer, Sylvie, Pawtowski, Audrey, Jany, Jean-Luc, Mounier, Jérôme
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 28.06.2024
• Subjects: Aspergillus; cryptic species; Database management systems; filamentous fungi; Food chains; Food processing; Food quality; Food safety; Food spoilage; Fungi; Fusarium; Genes; Glucose; Identification; Mold; Morphology; Mucor; Ribosomal DNA; Species; Yeast; yeasts; France; Aspergillus; filamentous fungi; Fusarium; yeasts; Colletotrichum; Mucor; cryptic species
• ISSN: 2309-608X; 2309-608X
• DOI: 10.3390/jof10070456

Fungi, including filamentous fungi and yeasts, are major contributors to global food losses and waste due to their ability to colonize a very large diversity of food raw materials and processed foods throughout the food chain. In addition, numerous fungal species are mycotoxin producers and can also be responsible for opportunistic infections. In recent years, MALDI-TOF MS has emerged as a valuable, rapid and reliable asset for fungal identification in order to ensure food safety and quality. In this context, this study aimed at expanding the VITEK MS database with food-relevant fungal species and evaluate its performance, with a specific emphasis on species differentiation within species complexes. To this end, a total of 380 yeast and mold strains belonging to 51 genera and 133 species were added into the spectral database including species from five species complexes corresponding to , , , complexes and series Database performances were evaluated by cross-validation and external validation using 78 fungal isolates with 96.55% and 90.48% correct identification, respectively. This study also showed the capacity of MALDI-TOF MS to differentiate closely related species within species complexes and further demonstrated the potential of this technique for the routine identification of fungi in an industrial context.