Rapid MALDI-TOF MS identification of commercial truffles

• Published in: Scientific reports 2019-11, Vol.9 (1), p.17686-9, Article 17686
• Main Authors: El Karkouri, Khalid, Couderc, Carine, Decloquement, Philippe, Abeille, Annick, Raoult, Didier
• Format: Article
• Language: English
• Subjects: 45/23; 45/77; 631/1647/296; 631/326/193; 82; 82/58; Agaricales - chemistry; Agaricales - genetics; Algorithms; Ascomycota - chemistry; Ascomycota - genetics; Asia; Bacteriology; Biotyping; Cardiology and cardiovascular system; Cluster Analysis; DNA, Fungal - genetics; Emerging diseases; Europe; Fungal Proteins - chemistry; Human health and pathology; Humanities and Social Sciences; Infectious diseases; Ions; Life Sciences; Mass spectroscopy; Matrix; Microbiology and Parasitology; multidisciplinary; Parasitology; Phylogeny; Physical characteristics; Polymerase Chain Reaction; Reproducibility of Results; Science; Science (multidisciplinary); Seedlings; Species; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization - methods; Terrestrial ecosystems; Virology
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-019-54214-x

Truffles are edible mushrooms with similar morphological characteristics, that make it difficult to distinguish between highly prized truffles (such as the Périgord black T . melanosporum ) and inexpensive truffles (such as the Asian Black T . indicum ). These biological and economic features have led to several misidentifications and/or fraudulent profit in the truffle markets. In this paper, we investigate Matrix-assisted Laser Desorption/Ionization Time-Of-Flight Mass Spectrometry (MALDI-TOF MS) biotyping to identify 34 commercial fresh truffles from Europe and Asia. The MALDI-TOF MS clustering rapidly distinguished seven Tuber species identified by ITS phylogenetic analysis. The tasty T . melanosporum was clearly differentiated from the Chinese and less expensive truffles. These cheaper mushrooms were marketed as T . indicum but corresponded to a mix of three species. In total, the method confirmed misidentifications in 26% of commercial specimens. Several unknown blind-coded truffles were rapidly identified, with scores >= 2, using the Bruker Biotyper algorithm against MS databases. This study demonstrates that MALDI-TOF MS is a reliable, rapid and cheaper new tool compared with molecular methods for the identification of truffle species and could be used to control frauds in the truffle markets. It could also be useful for the certification of truffle-inoculated seedlings and/or diversity in forest ecosystems.