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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
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.
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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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