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Identification of Bacillus strains by MALDI TOF MS using geometric approach
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 impo...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4655313/ https://www.ncbi.nlm.nih.gov/pubmed/26592761 http://dx.doi.org/10.1038/srep16989 |
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author | Starostin, Konstantin V. Demidov, Evgeny A. Bryanskaya, Alla V. Efimov, Vadim M. Rozanov, Alexey S. Peltek, Sergey E. |
author_facet | Starostin, Konstantin V. Demidov, Evgeny A. Bryanskaya, Alla V. Efimov, Vadim M. Rozanov, Alexey S. Peltek, Sergey E. |
author_sort | Starostin, Konstantin V. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4655313 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-46553132015-11-27 Identification of Bacillus strains by MALDI TOF MS using geometric approach Starostin, Konstantin V. Demidov, Evgeny A. Bryanskaya, Alla V. Efimov, Vadim M. Rozanov, Alexey S. Peltek, Sergey E. Sci Rep Article 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. Nature Publishing Group 2015-11-23 /pmc/articles/PMC4655313/ /pubmed/26592761 http://dx.doi.org/10.1038/srep16989 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Starostin, Konstantin V. Demidov, Evgeny A. Bryanskaya, Alla V. Efimov, Vadim M. Rozanov, Alexey S. Peltek, Sergey E. Identification of Bacillus strains by MALDI TOF MS using geometric approach |
title | Identification of Bacillus strains by MALDI TOF MS using geometric approach |
title_full | Identification of Bacillus strains by MALDI TOF MS using geometric approach |
title_fullStr | Identification of Bacillus strains by MALDI TOF MS using geometric approach |
title_full_unstemmed | Identification of Bacillus strains by MALDI TOF MS using geometric approach |
title_short | Identification of Bacillus strains by MALDI TOF MS using geometric approach |
title_sort | identification of bacillus strains by maldi tof ms using geometric approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4655313/ https://www.ncbi.nlm.nih.gov/pubmed/26592761 http://dx.doi.org/10.1038/srep16989 |
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