title: Identification of Bacillus strains by MALDI TOF MS using geometric approach.
abstract: Microorganism identification by MALDI TOF mass-spectrometry is based on the comparison of the mass spectrum of the studied organism with those of reference strains. It is a rapid and reliable method. However, commercial databases and programs are mostly designed for identification of clinically important strains and can be used only for particular mass spectrometer models. The need for open platforms and reference databases is obvious. In this study we describe a geometric approach for microorganism identification by mass spectra and demonstrate its capabilities by analyzing 24 strains belonging to the Bacillus pumilus group. This method is based on representing mass spectra as points on a multidimensional space, which allows us to use geometric distances to compare the spectra. Delimitation of microorganisms performed by geometric approach correlates well with the results of molecular phylogenetic analysis and clustering using Biotyper 3.1. All three methods used allowed us to reliably divide the strains into two groups corresponding to closely related species, Bacillus pumilus and Bacillus altitudinis. The method developed by us will be implemented in a Web interface designed for using open reference databases for microorganism identification. The data is available at http://www.bionet.nsc.ru/mbl/database/database.html.
authors.affiliation: Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences, Novosibirsk, 630090, Russian Federation.
authors.forename: Konstantin V
authors.initials: KV
authors.lastname: Starostin
authors.affiliation: Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences, Novosibirsk, 630090, Russian Federation.
authors.forename: Evgeny A
authors.initials: EA
authors.lastname: Demidov
authors.affiliation: Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences, Novosibirsk, 630090, Russian Federation.
authors.forename: Alla V
authors.initials: AV
authors.lastname: Bryanskaya
authors.affiliation: Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences, Novosibirsk, 630090, Russian Federation.
authors.forename: Vadim M
authors.initials: VM
authors.lastname: Efimov
authors.affiliation: Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences, Novosibirsk, 630090, Russian Federation.
authors.forename: Alexey S
authors.initials: AS
authors.lastname: Rozanov
authors.affiliation: Institute of Cytology and Genetics, The Siberian Branch of the Russian Academy of Sciences, Novosibirsk, 630090, Russian Federation.
authors.forename: Sergey E
authors.initials: SE
authors.lastname: Peltek
mesh_terms: D001407:Bacillus / Q000145:classification* / Q000235:genetics; D015373:Bacterial Typing Techniques; D016000:Cluster Analysis; D010802:Phylogeny; D012336:RNA, Ribosomal, 16S / Q000235:genetics*; D017422:Sequence Analysis, DNA; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000706:statistics & numerical data*
chemical_list: D012336:RNA, Ribosomal, 16S