Novel Peptide Biomarker Discovery for Detection and Identification of Bacterial Pathogens by LC-ESI-MS/MS

9 páginas, 1 tabla, 7 figuras.-- This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

Detalles Bibliográficos
Autores: Calo-Mata, Pilar, Carrera, Mónica, Böhme, K., Caamaño-Antelo, S., Gallardo, José Manuel, Barros-Velázquez, Jorge, Cañas, Benito
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2016
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/146645
Acceso en línea:http://hdl.handle.net/10261/146645
Access Level:acceso abierto
Palabra clave:Foodborne pathogens
Bacterial detection and identification
Proteomics
LC-ESI-MS/MS
VBNC
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spelling Novel Peptide Biomarker Discovery for Detection and Identification of Bacterial Pathogens by LC-ESI-MS/MSCalo-Mata, PilarCarrera, MónicaBöhme, K.Caamaño-Antelo, S.Gallardo, José ManuelBarros-Velázquez, JorgeCañas, BenitoFoodborne pathogensBacterial detection and identificationProteomicsLC-ESI-MS/MSVBNC9 páginas, 1 tabla, 7 figuras.-- This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are creditedThe increase of foodborne diseases in the past years, especially emergent pathogens is a great concern for authorities, industry and consumers. It is important the early detection and identification of the microbiota in order to evaluate the safety of the product and avoid health issues and economic losses for either the producer or the distributor. Consequently, there is a critical need to develop rapid and sensitive methods for detection and accurate identification of food-borne pathogens. Our approach is the description of peptide/protein markers unique for a bacterial species, strain or genera. The identification of bacterial peptide/protein markers was performed after protein extraction, in-solution tryptic digestion and analysizing its tryptic peptides by liquid chromatographyelectrospray ionization-tandem mass spectrometry (LC-ESI-MS/MS). Subsequent analysis with database search software and comparison with amino acid sequences available in public databases (Uniprot and NCBI) allowed the identification of several peptide biomarkers. In this study we have focused on two proteins of the species Staphylococcus aureus, and compared them with the public databases and with the data obtained from LC-ESI-MS/MS of the trysinized proteins from Gram-positive and Gram-negative bacteria such as Streptococcus spp., Enterococcus spp., Bacillus spp., Listeria spp, Salmonella spp., Enterobacteriaceae. As a result, cysteine synthase and cysteine proteases stophapain A and stophapain B, and 1-pyrroline-5-carboxylate dehydrogenase proteins may be used for S. aureus differentiation. Furthermore, cysteine protease peptides AQKPVDNITQIIGGTPVVK, TESIPTGNNVTQLK, MTTYNEVDNLTK, YTINVSSFLSK and KTGSPDYLLHFLEQKV resulted specific for S. aureus, being potentially useful for a fast detection of bacterial pathogens directly in food products and not requiring previous culture of the bacteriaThis work was funded by the Spanish Ministry of Economy and Competitivity Project AGL2013-48244-R and by the European Regional Development Fund (ERDF) (2007-2013). The work of Sonia Caamaño Antelo is supported by the Otilia Millares FoundationPeer reviewedOMICS Publishing GroupConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]201720172016info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/146645reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.4172/2155-9872.1000296Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1466452026-05-22T06:33:51Z
dc.title.none.fl_str_mv Novel Peptide Biomarker Discovery for Detection and Identification of Bacterial Pathogens by LC-ESI-MS/MS
title Novel Peptide Biomarker Discovery for Detection and Identification of Bacterial Pathogens by LC-ESI-MS/MS
spellingShingle Novel Peptide Biomarker Discovery for Detection and Identification of Bacterial Pathogens by LC-ESI-MS/MS
Calo-Mata, Pilar
Foodborne pathogens
Bacterial detection and identification
Proteomics
LC-ESI-MS/MS
VBNC
title_short Novel Peptide Biomarker Discovery for Detection and Identification of Bacterial Pathogens by LC-ESI-MS/MS
title_full Novel Peptide Biomarker Discovery for Detection and Identification of Bacterial Pathogens by LC-ESI-MS/MS
title_fullStr Novel Peptide Biomarker Discovery for Detection and Identification of Bacterial Pathogens by LC-ESI-MS/MS
title_full_unstemmed Novel Peptide Biomarker Discovery for Detection and Identification of Bacterial Pathogens by LC-ESI-MS/MS
title_sort Novel Peptide Biomarker Discovery for Detection and Identification of Bacterial Pathogens by LC-ESI-MS/MS
dc.creator.none.fl_str_mv Calo-Mata, Pilar
Carrera, Mónica
Böhme, K.
Caamaño-Antelo, S.
Gallardo, José Manuel
Barros-Velázquez, Jorge
Cañas, Benito
author Calo-Mata, Pilar
author_facet Calo-Mata, Pilar
Carrera, Mónica
Böhme, K.
Caamaño-Antelo, S.
Gallardo, José Manuel
Barros-Velázquez, Jorge
Cañas, Benito
author_role author
author2 Carrera, Mónica
Böhme, K.
Caamaño-Antelo, S.
Gallardo, José Manuel
Barros-Velázquez, Jorge
Cañas, Benito
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Foodborne pathogens
Bacterial detection and identification
Proteomics
LC-ESI-MS/MS
VBNC
topic Foodborne pathogens
Bacterial detection and identification
Proteomics
LC-ESI-MS/MS
VBNC
description 9 páginas, 1 tabla, 7 figuras.-- This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
publishDate 2016
dc.date.none.fl_str_mv 2016
2017
2017
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/146645
url http://hdl.handle.net/10261/146645
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv http://dx.doi.org/10.4172/2155-9872.1000296
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv OMICS Publishing Group
publisher.none.fl_str_mv OMICS Publishing Group
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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