Shotgun Proteomics Analysis, Functional Networks, and Peptide Biomarkers for Seafood-Originating Biogenic-Amine-Producing Bacteria

23 pages, 4 tables, 5 figures.-- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license

Detalles Bibliográficos
Autores: Abril, Ana G., Calo-Mata, Pilar, Böhme, K., Villa, Tomás G., Barros-Velázquez, Jorge, Pazos Palmeiro, Manuel, Carrera, Mónica
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/348659
Acceso en línea:http://hdl.handle.net/10261/348659
Access Level:acceso abierto
Palabra clave:Biogenic-amine-producing bacteria
Shotgun proteomics
Mass spectrometry
(LC-ESI-MS/MS)
Food
Seafood
Bacterial identification
mass spectrometry
foods
seafoods
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spelling Shotgun Proteomics Analysis, Functional Networks, and Peptide Biomarkers for Seafood-Originating Biogenic-Amine-Producing BacteriaAbril, Ana G.Calo-Mata, PilarBöhme, K.Villa, Tomás G.Barros-Velázquez, JorgePazos Palmeiro, ManuelCarrera, MónicaBiogenic-amine-producing bacteriaShotgun proteomicsMass spectrometry(LC-ESI-MS/MS)FoodSeafoodBacterial identificationmass spectrometryfoodsseafoods23 pages, 4 tables, 5 figures.-- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) licenseBiogenic amine-producing bacteria are responsible for the production of basic nitrogenous compounds (histamine, cadaverine, tyramine, and putrescine) following the spoilage of food due to microorganisms. In this study, we adopted a shotgun proteomics strategy to characterize 15 foodborne strains of biogenic-amine-producing bacteria. A total of 10,673 peptide spectrum matches belonging to 4081 peptides and corresponding to 1811 proteins were identified. Relevant functional pathways were determined, and strains were differentiated into hierarchical clusters. An expected protein-protein interaction network was created (260 nodes/1973 interactions). Most of the determined proteins were associated with networks/pathways of energy, putrescine metabolism, and host-virus interaction. Additionally, 556 peptides were identified as virulence factors. Moreover, 77 species-specific peptide biomarkers corresponding to 64 different proteins were proposed to identify 10 bacterial species. This represents a major proteomic dataset of biogenic-amine-producing strains. These results may also be suitable for new treatments for food intoxication and for tracking microbial sources in foodstuffsA.G.A. thanks the USC for the “Convocatoria de Recualificación do Sistema Universitario Español-Margarita Salas” postdoc grant under the “Plan de Recuperación Transformación” program funded by the Spanish Ministry of Universities through the European Union’s NextGeneration EU funds. This work has received financial support from the Xunta de Galicia and the European Union (European Social Fund2013ESF), the Spanish Ministry of Economy and Competitivity Project AGL 2.013-48.244-R, and the European Regional Development Fund (ERDF) (2007–2013). This study was also financed by the GAIN-Xunta de Galicia Project (IN607D 2017/01) and the Spanish AEI/EU-FEDER PID2019-103845RB-C21 project. It was also supported by the Plan Complementario en Ciencias Marinas (PCCM) funded by the Ministry of Science and Innovation (Activity 3.6.B. NANOSEAOMICS)Peer reviewedMultidisciplinary Digital Publishing InstituteUniversidad de Santiago de CompostelaMinisterio de Universidades (España)European CommissionXunta de GaliciaMinisterio de Economía y Competitividad (España)Ministerio de Ciencia e Innovación (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242023info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/348659reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MINECO//AGL2013-48244-Rinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-103845RB-C21Carrera, Mónica; 2023; Shotgun Proteomics Analysis, Functional Networks and Peptide Biomarkers for Biogenic Amine-producing Bacteria [Dataset]; PRIDE; https://dx.doi.org/10.6019/PXD039320https://doi.org/10.3390/ijms24097704Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3486592026-05-22T06:33:51Z
dc.title.none.fl_str_mv Shotgun Proteomics Analysis, Functional Networks, and Peptide Biomarkers for Seafood-Originating Biogenic-Amine-Producing Bacteria
title Shotgun Proteomics Analysis, Functional Networks, and Peptide Biomarkers for Seafood-Originating Biogenic-Amine-Producing Bacteria
spellingShingle Shotgun Proteomics Analysis, Functional Networks, and Peptide Biomarkers for Seafood-Originating Biogenic-Amine-Producing Bacteria
Abril, Ana G.
Biogenic-amine-producing bacteria
Shotgun proteomics
Mass spectrometry
(LC-ESI-MS/MS)
Food
Seafood
Bacterial identification
mass spectrometry
foods
seafoods
title_short Shotgun Proteomics Analysis, Functional Networks, and Peptide Biomarkers for Seafood-Originating Biogenic-Amine-Producing Bacteria
title_full Shotgun Proteomics Analysis, Functional Networks, and Peptide Biomarkers for Seafood-Originating Biogenic-Amine-Producing Bacteria
title_fullStr Shotgun Proteomics Analysis, Functional Networks, and Peptide Biomarkers for Seafood-Originating Biogenic-Amine-Producing Bacteria
title_full_unstemmed Shotgun Proteomics Analysis, Functional Networks, and Peptide Biomarkers for Seafood-Originating Biogenic-Amine-Producing Bacteria
title_sort Shotgun Proteomics Analysis, Functional Networks, and Peptide Biomarkers for Seafood-Originating Biogenic-Amine-Producing Bacteria
dc.creator.none.fl_str_mv Abril, Ana G.
Calo-Mata, Pilar
Böhme, K.
Villa, Tomás G.
Barros-Velázquez, Jorge
Pazos Palmeiro, Manuel
Carrera, Mónica
author Abril, Ana G.
author_facet Abril, Ana G.
Calo-Mata, Pilar
Böhme, K.
Villa, Tomás G.
Barros-Velázquez, Jorge
Pazos Palmeiro, Manuel
Carrera, Mónica
author_role author
author2 Calo-Mata, Pilar
Böhme, K.
Villa, Tomás G.
Barros-Velázquez, Jorge
Pazos Palmeiro, Manuel
Carrera, Mónica
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidad de Santiago de Compostela
Ministerio de Universidades (España)
European Commission
Xunta de Galicia
Ministerio de Economía y Competitividad (España)
Ministerio de Ciencia e Innovación (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Biogenic-amine-producing bacteria
Shotgun proteomics
Mass spectrometry
(LC-ESI-MS/MS)
Food
Seafood
Bacterial identification
mass spectrometry
foods
seafoods
topic Biogenic-amine-producing bacteria
Shotgun proteomics
Mass spectrometry
(LC-ESI-MS/MS)
Food
Seafood
Bacterial identification
mass spectrometry
foods
seafoods
description 23 pages, 4 tables, 5 figures.-- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license
publishDate 2023
dc.date.none.fl_str_mv 2023
2024
2024
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/10261/348659
url http://hdl.handle.net/10261/348659
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/MINECO//AGL2013-48244-R
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-103845RB-C21
Carrera, Mónica; 2023; Shotgun Proteomics Analysis, Functional Networks and Peptide Biomarkers for Biogenic Amine-producing Bacteria [Dataset]; PRIDE; https://dx.doi.org/10.6019/PXD039320
https://doi.org/10.3390/ijms24097704
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
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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