MALDI-TOF mass spectrometry-based identification of Listeria species in surveillance: a prospective study

Pierre Thouvenot (1) , Guillaume Vales (1) , Hélène Bracq-Dieye (1) , Nathalie Tessaud-Rita (1) , Mylène M Maury (1) , Alexandra Moura (1) , Marc Lecuit (2, 1, 3, 4, 5) , Alexandre Leclercq (1)

1 CC-OMS / WHO-CC - Centre collaborateur de l'OMS Listeria / WHO Collaborating Centre Listeria
2 Biologie des Infections - Biology of Infection
3 UPD5 - Université Paris Descartes - Paris 5
4 Hôpital Necker - Enfants Malades [AP-HP]
5 Imagine - U1163 - Imagine - Institut des maladies génétiques (IHU)

This study aimed to evaluate MALDI-TOF MS for species discrimination of Listeria in the context of routine surveillance. MALDI-TOF MS yielded 100% accuracy for the identification of L. monocytogenes, L. innocua, L. ivanovii, L. fleischmannii, L. grayi, L. seeligeri, L. weihenstephanensis and L. welshimeri, as confirmed by whole genome sequence analyses.

Mots clés: Food; Listeria identification; MALDI-TOF; Mass spectrometry; Public health surveillance

Domaines: Maladies infectieuses; Microbiologie et Parasitologie; Bactériologie

Pierre Thouvenot, Guillaume Vales, Hélène Bracq-Dieye, Nathalie Tessaud-Rita, Mylène M Maury, et al.. MALDI-TOF mass spectrometry-based identification of Listeria species in surveillance: a prospective study. Journal of Microbiological Methods, 2017, 144, pp.29-32. ⟨10.1016/j.mimet.2017.10.009⟩. ⟨pasteur-02320046⟩