Identification of Lactobacillus spp. isolates from children's intestinal tissues by MALDI-TOF MS profiling and automated ribotyping
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Rok publikování | 2011 |
Druh | Konferenční abstrakty |
Fakulta / Pracoviště MU | |
Citace | |
Popis | Background: In clinical microbiology as well as in dairy industry there is a great need for reliable identification and characterization of lactic acid bacteria. Matrix Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI TOF MS) represents a fast, procedurally simple and sensitive chemotaxonomical method with a high discriminatory power. The identification of bacteria is based on characteristic and reproducible peptide/protein fingerprints. Objectives: The aim of this work was to assess MALDI TOF MS profiling and automatic ribotyping as tools for reliable identification of Lactobacillus isolates from human intestinal tissues. Methods: MALDI-TOF mass spectra of 57 Lactobacillus strains were obtained with an Ultraflex III instrument (Bruker Daltonik). BioTyper software (Bruker Daltonik) involving a database of lactic acid bacteria MALDI-TOF MS profiles was used for data processing. Automated ribotyping was performed with a RiboPrinter identification system (DuPont Qualicon) including DuPont Qualicon database DUP 2008 provided by the manufacturer. Conclusions: Based on MALDI-TOF MS analysis, Lactobacillus salivarius (28 strains), Lactobacillus paracasei (11), Lactobacillus rhamnosus (7), Lactobacillus mucosae (5), Lactobacillus gasseri (2), Lactobacillus plantarum (2), Lactobacillus casei/paracasiei (1) and Lactobacillus oris (1) were reliably identified (BioTyper log(score) > 2.3). In accordance with MALDI-TOF MS, the RiboPrinter system identified Lactobacillus salivarius (19 strains), Lactobacillus paracasei (12) and Lactobacillus gasseri (1). One L. gasseri strain was assigned as Aerococcus viridans. The remaining strains were not identified using the ribotyping method. MALDI-TOF MS proved to be suitable tool for identification of Lactobacillus spp. inhabiting human intestinal tract. This work was supported by projects 2B08068, MSM0021622415, MSM0021622416 and LC06034. |
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