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Large scale analysis of amino acid substitutions in bacterial proteomics
BACKGROUND: Proteomics of bacterial pathogens is a developing field exploring microbial physiology, gene expression and the complex interactions between bacteria and their hosts. One of the complications in proteomic approach is micro- and macro-heterogeneity of bacterial species, which makes it imp...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5100282/ https://www.ncbi.nlm.nih.gov/pubmed/27821049 http://dx.doi.org/10.1186/s12859-016-1301-5 |
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author | Ischenko, Dmitry Alexeev, Dmitry Shitikov, Egor Kanygina, Alexandra Malakhova, Maja Kostryukova, Elena Larin, Andrey Kovalchuk, Sergey Pobeguts, Olga Butenko, Ivan Anikanov, Nikolay Altukhov, Ilya Ilina, Elena Govorun, Vadim |
author_facet | Ischenko, Dmitry Alexeev, Dmitry Shitikov, Egor Kanygina, Alexandra Malakhova, Maja Kostryukova, Elena Larin, Andrey Kovalchuk, Sergey Pobeguts, Olga Butenko, Ivan Anikanov, Nikolay Altukhov, Ilya Ilina, Elena Govorun, Vadim |
author_sort | Ischenko, Dmitry |
collection | PubMed |
description | BACKGROUND: Proteomics of bacterial pathogens is a developing field exploring microbial physiology, gene expression and the complex interactions between bacteria and their hosts. One of the complications in proteomic approach is micro- and macro-heterogeneity of bacterial species, which makes it impossible to build a comprehensive database of bacterial genomes for identification, while most of the existing algorithms rely largely on genomic data. RESULTS: Here we present a large scale study of identification of single amino acid polymorphisms between bacterial strains. An ad hoc method was developed based on MS/MS spectra comparison without the support of a genomic database. Whole-genome sequencing was used to validate the accuracy of polymorphism detection. Several approaches presented earlier to the proteomics community as useful for polymorphism detection were tested on isolates of Helicobacter pylori, Neisseria gonorrhoeae and Escherichia coli. CONCLUSION: The developed method represents a perspective approach in the field of bacterial proteomics allowing to identify hundreds of peptides with novel SAPs from a single proteome. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-016-1301-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5100282 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-51002822016-11-08 Large scale analysis of amino acid substitutions in bacterial proteomics Ischenko, Dmitry Alexeev, Dmitry Shitikov, Egor Kanygina, Alexandra Malakhova, Maja Kostryukova, Elena Larin, Andrey Kovalchuk, Sergey Pobeguts, Olga Butenko, Ivan Anikanov, Nikolay Altukhov, Ilya Ilina, Elena Govorun, Vadim BMC Bioinformatics Research Article BACKGROUND: Proteomics of bacterial pathogens is a developing field exploring microbial physiology, gene expression and the complex interactions between bacteria and their hosts. One of the complications in proteomic approach is micro- and macro-heterogeneity of bacterial species, which makes it impossible to build a comprehensive database of bacterial genomes for identification, while most of the existing algorithms rely largely on genomic data. RESULTS: Here we present a large scale study of identification of single amino acid polymorphisms between bacterial strains. An ad hoc method was developed based on MS/MS spectra comparison without the support of a genomic database. Whole-genome sequencing was used to validate the accuracy of polymorphism detection. Several approaches presented earlier to the proteomics community as useful for polymorphism detection were tested on isolates of Helicobacter pylori, Neisseria gonorrhoeae and Escherichia coli. CONCLUSION: The developed method represents a perspective approach in the field of bacterial proteomics allowing to identify hundreds of peptides with novel SAPs from a single proteome. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-016-1301-5) contains supplementary material, which is available to authorized users. BioMed Central 2016-11-08 /pmc/articles/PMC5100282/ /pubmed/27821049 http://dx.doi.org/10.1186/s12859-016-1301-5 Text en © The Author(s) 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Ischenko, Dmitry Alexeev, Dmitry Shitikov, Egor Kanygina, Alexandra Malakhova, Maja Kostryukova, Elena Larin, Andrey Kovalchuk, Sergey Pobeguts, Olga Butenko, Ivan Anikanov, Nikolay Altukhov, Ilya Ilina, Elena Govorun, Vadim Large scale analysis of amino acid substitutions in bacterial proteomics |
title | Large scale analysis of amino acid substitutions in bacterial proteomics |
title_full | Large scale analysis of amino acid substitutions in bacterial proteomics |
title_fullStr | Large scale analysis of amino acid substitutions in bacterial proteomics |
title_full_unstemmed | Large scale analysis of amino acid substitutions in bacterial proteomics |
title_short | Large scale analysis of amino acid substitutions in bacterial proteomics |
title_sort | large scale analysis of amino acid substitutions in bacterial proteomics |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5100282/ https://www.ncbi.nlm.nih.gov/pubmed/27821049 http://dx.doi.org/10.1186/s12859-016-1301-5 |
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