Identification of Bifidobacterium spp. isolated from children intestinal mucous tissue samples by MALDI-TOF MS and automated ribotyping

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Publikace nespadá pod Ekonomicko-správní fakultu, ale pod Přírodovědeckou fakultu. Oficiální stránka publikace je na webu muni.cz.
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ŠVEC Pavel ŠEDO Ondrej TESHIM Andrea DRÁB Vladimír ZDRÁHAL Zbyněk SEDLÁČEK Ivo

Rok publikování 2011
Druh Konferenční abstrakty
Fakulta / Pracoviště MU

Přírodovědecká fakulta

Citace
Popis Background: Bifidobacteria represent an important part of human gastrointestinal tract maintaining and balancing proper intestinal microflora. Their correct identification is crucial for taxonomical, epidemiological and clinical purposes. Objectives: The aim of this work was to evaluate capabilities of automated ribotyping for identification of bifidobacterial isolates from human intestine. Methods: A set of 70 Bifidobacterium strains originating from intestinal mucous tissue samples from children patients was identified by MALDI-TOF MS performed on an Ultraflex III instrument (Bruker Daltonik) and further characterized using automated ribotyping performed by the RiboPrinter system (DuPont Qualicon). Results: MALDI-TOF MS analysis enabled reliable identification (BioTyper log(score) > 2.3) of Bifidobacterium longum (36 strains), Bifidobacterium adolescentis (23), Bifidobacterium catenulatum (7), Bifidobacterium breve (3) and Bifidobacterium animalis (1). The RiboPrinter system assigned only 33 strains to the species level and identified B. longum (18 strains), B. adolescentis (10), B. breve (3) and single representatives of B. animalis and Bifidobacterium boum. These outcomes were congruent with MALDI-TOF MS results except for two B. adolescentis strains which were identified by ribotyping as B. longum and B. boum, respectively, and six B. catenulatum strains assigned as B. adolescentis. The remaining isolates were not identified as they did not exceed the threshold of 85 % similarity with the RiboPrinter reference database entries. Conclusions: The RiboPrinter system, which identified correctly only 35 % of analysed strains, has been shown as an unsuitable tool for identification of Bifidobacterium spp. occurring in human intestines. This work was supported by projects 2B08068, MSM0021622415, MSM0021622416, and LC06034.
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