Characterization of Foodborne Strains of Staphylococcus aureus by Shotgun Proteomics: Functional Networks, Virulence Factors and Species-Specific Peptide Biomarkers

In the present work, we applied a shotgun proteomics approach for the fast and easy characterization of 20 different foodborne strains of Staphylococcus aureus (S. aureus), one of the most recognized foodborne pathogenic bacteria. A total of 644 non-redundant proteins were identified and analyzed vi...

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Main Authors: Mónica Carrera, Karola Böhme, José M. Gallardo, Jorge Barros-Velázquez, Benito Cañas, Pilar Calo-Mata
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-12-01
Series:Frontiers in Microbiology
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/fmicb.2017.02458/full
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spelling doaj-e5bade36fd86459690f30a3804a5fae42020-11-25T01:57:11ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2017-12-01810.3389/fmicb.2017.02458314295Characterization of Foodborne Strains of Staphylococcus aureus by Shotgun Proteomics: Functional Networks, Virulence Factors and Species-Specific Peptide BiomarkersMónica Carrera0Karola Böhme1José M. Gallardo2Jorge Barros-Velázquez3Benito Cañas4Pilar Calo-Mata5Department of Food Technology, Spanish National Research Council, Marine Research Institute, Vigo, SpainDepartment of Analytical Chemistry, Nutrition and Food Science, School of Veterinary Sciences, University of Santiago de Compostela, Lugo, SpainDepartment of Food Technology, Spanish National Research Council, Marine Research Institute, Vigo, SpainDepartment of Analytical Chemistry, Nutrition and Food Science, School of Veterinary Sciences, University of Santiago de Compostela, Lugo, SpainDepartment of Analytical Chemistry, Complutense University of Madrid, Madrid, SpainDepartment of Analytical Chemistry, Nutrition and Food Science, School of Veterinary Sciences, University of Santiago de Compostela, Lugo, SpainIn the present work, we applied a shotgun proteomics approach for the fast and easy characterization of 20 different foodborne strains of Staphylococcus aureus (S. aureus), one of the most recognized foodborne pathogenic bacteria. A total of 644 non-redundant proteins were identified and analyzed via an easy and rapid protein sample preparation procedure. The results allowed the differentiation of several proteome datasets from the different strains (common, accessory, and unique datasets), which were used to determine relevant functional pathways and differentiate the strains into different Euclidean hierarchical clusters. Moreover, a predicted protein-protein interaction network of the foodborne S. aureus strains was created. The whole confidence network contains 77 nodes and 769 interactions. Most of the identified proteins were surface-associated proteins that were related to pathways and networks of energy, lipid metabolism and virulence. Twenty-seven virulence factors were identified, and most of them corresponded to autolysins, N-acetylmuramoyl-L-alanine amidases, phenol-soluble modulins, extracellular fibrinogen-binding proteins and virulence factor EsxA. Potential species-specific peptide biomarkers were screened. Twenty-one species-specific peptide biomarkers, belonging to eight different proteins (nickel-ABC transporter, N-acetylmuramoyl-L-alanine amidase, autolysin, clumping factor A, gram-positive signal peptide YSIRK, cysteine protease/staphopain, transcriptional regulator MarR, and transcriptional regulator Sar-A), were proposed to identify S. aureus. These results constitute the first major dataset of peptides and proteins of foodborne S. aureus strains. This repository may be useful for further studies, for the development of new therapeutic treatments for S. aureus food intoxications and for microbial source-tracking in foodstuffs.http://journal.frontiersin.org/article/10.3389/fmicb.2017.02458/fullfoodborneStaphylococcus aureusshotgun proteomicsmass spectrometryfunctional networksvirulence factors
collection DOAJ
language English
format Article
sources DOAJ
author Mónica Carrera
Karola Böhme
José M. Gallardo
Jorge Barros-Velázquez
Benito Cañas
Pilar Calo-Mata
spellingShingle Mónica Carrera
Karola Böhme
José M. Gallardo
Jorge Barros-Velázquez
Benito Cañas
Pilar Calo-Mata
Characterization of Foodborne Strains of Staphylococcus aureus by Shotgun Proteomics: Functional Networks, Virulence Factors and Species-Specific Peptide Biomarkers
Frontiers in Microbiology
foodborne
Staphylococcus aureus
shotgun proteomics
mass spectrometry
functional networks
virulence factors
author_facet Mónica Carrera
Karola Böhme
José M. Gallardo
Jorge Barros-Velázquez
Benito Cañas
Pilar Calo-Mata
author_sort Mónica Carrera
title Characterization of Foodborne Strains of Staphylococcus aureus by Shotgun Proteomics: Functional Networks, Virulence Factors and Species-Specific Peptide Biomarkers
title_short Characterization of Foodborne Strains of Staphylococcus aureus by Shotgun Proteomics: Functional Networks, Virulence Factors and Species-Specific Peptide Biomarkers
title_full Characterization of Foodborne Strains of Staphylococcus aureus by Shotgun Proteomics: Functional Networks, Virulence Factors and Species-Specific Peptide Biomarkers
title_fullStr Characterization of Foodborne Strains of Staphylococcus aureus by Shotgun Proteomics: Functional Networks, Virulence Factors and Species-Specific Peptide Biomarkers
title_full_unstemmed Characterization of Foodborne Strains of Staphylococcus aureus by Shotgun Proteomics: Functional Networks, Virulence Factors and Species-Specific Peptide Biomarkers
title_sort characterization of foodborne strains of staphylococcus aureus by shotgun proteomics: functional networks, virulence factors and species-specific peptide biomarkers
publisher Frontiers Media S.A.
series Frontiers in Microbiology
issn 1664-302X
publishDate 2017-12-01
description In the present work, we applied a shotgun proteomics approach for the fast and easy characterization of 20 different foodborne strains of Staphylococcus aureus (S. aureus), one of the most recognized foodborne pathogenic bacteria. A total of 644 non-redundant proteins were identified and analyzed via an easy and rapid protein sample preparation procedure. The results allowed the differentiation of several proteome datasets from the different strains (common, accessory, and unique datasets), which were used to determine relevant functional pathways and differentiate the strains into different Euclidean hierarchical clusters. Moreover, a predicted protein-protein interaction network of the foodborne S. aureus strains was created. The whole confidence network contains 77 nodes and 769 interactions. Most of the identified proteins were surface-associated proteins that were related to pathways and networks of energy, lipid metabolism and virulence. Twenty-seven virulence factors were identified, and most of them corresponded to autolysins, N-acetylmuramoyl-L-alanine amidases, phenol-soluble modulins, extracellular fibrinogen-binding proteins and virulence factor EsxA. Potential species-specific peptide biomarkers were screened. Twenty-one species-specific peptide biomarkers, belonging to eight different proteins (nickel-ABC transporter, N-acetylmuramoyl-L-alanine amidase, autolysin, clumping factor A, gram-positive signal peptide YSIRK, cysteine protease/staphopain, transcriptional regulator MarR, and transcriptional regulator Sar-A), were proposed to identify S. aureus. These results constitute the first major dataset of peptides and proteins of foodborne S. aureus strains. This repository may be useful for further studies, for the development of new therapeutic treatments for S. aureus food intoxications and for microbial source-tracking in foodstuffs.
topic foodborne
Staphylococcus aureus
shotgun proteomics
mass spectrometry
functional networks
virulence factors
url http://journal.frontiersin.org/article/10.3389/fmicb.2017.02458/full
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