Rapid identification of Legionella spp. by MALDI-TOF MS based protein mass fingerprinting.
A set of reference strains representing 38 different Legionella species were submitted to Whole Cell Mass Spectrometry (WCMS) with MALDI-TOF. The dendrogram computed from strain mass spectral patterns obtained by WCMS was compared to the phylogenetic tree obtained from macrophage infectivity potentiator (mip) sequences. The trees inferred from these two methods revealed significant homologies. Using 453 Legionella isolates previously characterized by genotyping, it was possible to create species-specific SuperSpectra, using appropriate sets of spectral masses, allowing unambiguous differentiation and identification of the most frequently isolated Legionella species. These SuperSpectra were tested for their suitability to identify Legionella strains isolated from water samples, cooling towers, potting soils and patient specimens deposited at the Swiss National Reference Centre for Legionella and previously identified by molecular methods such as mip gene sequencing. 99.1% of the tested strains isolated from the environment could be correctly identified by comparison with the new SuperSpectra. The identification of Legionella spp. by MALDI-TOF MS is rapid, easy to perform and has the advantage of being time- and cost-saving, in comparison to sequence-based identification.
Cantonal Institute of Microbiology, Bellinzona, Switzerland. valeria.gaia@ti.ch
Valeria
V
Gaia
Simona
S
Casati
Mauro
M
Tonolla
D001426:Bacterial Proteins / Q000032:analysis*; D001431:Bacteriological Techniques / Q000379:methods*; D016000:Cluster Analysis; D016172:DNA Fingerprinting; D006801:Humans; D007875:Legionella / Q000737:chemistry* / Q000145:classification* / Q000235:genetics; D010802:Phylogeny; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods*
D001426:Bacterial Proteins