ArticleScientific reports2015
Identification of Bacillus strains by MALDI TOF MS using geometric approach.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
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- Potential of Eugenia brejoensis (Mazine) Essential Oil in Combating Multidrug-Resistant (MDR) Acinetobacter baumannii and Pseudomonas aeruginosa.Chemistry & biodiversity · 2026Article
- Identification and Differentiation of Non-HemolyticMolecules (Basel, Switzerland) · 2025Article
- Resolution of MALDI-TOF compared to whole genome sequencing for identification ofFrontiers in microbiology · 2025Article
- Accurate noise-robust classification of Bacillus species from MALDI-TOF MS spectra using a denoising autoencoder.Journal of integrative bioinformatics · 2023Article
- Use of bacterial binder in repair mortar for micro-crack remediation.Applied microbiology and biotechnology · 2023Article
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- Markers to Rapidly DistinguishFrontiers in microbiology · 2020Article
- Creation of an Online Platform for Identification of Microorganisms: Peak Picking or Full-Spectrum Analysis.Frontiers in microbiology · 2020Article
- "Frontiers in microbiology · 2020Article
- Microbial Biodeterioration of Cultural Heritage: Events, Colonization, and Analyses.Microbial ecology · 2019Review
- Identification of Bacillus species: Implication on the quality of probiotic formulations.PloS one · 2019Article
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- Microbial biodiversity assessment of the European Space Agency's ExoMars 2016 mission.Microbiome · 2017Article
- Identification and Pathogenic Potential of Clinical Bacillus and Paenibacillus Isolates.PloS one · 2016Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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