Putative Protein Biomarkers of Escherichia coli Antibiotic Multiresistance Identified by MALDI Mass Spectrometry
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Department of Genetics and Biotechnology, University of Trás-os-Montes and Alto Douro (UTAD), 5000-801 Vila Real, Portugal
2
Microbiology and Antibiotic Resistance Team (MicroART), Department of Veterinary Sciences, University of Trás-os-Montes and Alto Douro (UTAD), 5000-801 Vila Real, Portugal
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Functional Genomics and Proteomics Unit, University of Trás-os-Montes and Alto Douro (UTAD), 5000-801 Vila Real, Portugal
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Associate Laboratory for Green Chemistry (LAQV), Chemistry Department, Faculty of Science and Technology, University Nova of Lisbon, Lisbon, 2829-516 Caparica, Portugal
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Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Metabolomic and Proteomic Exploration Facility (PFEMcp), 63122 Saint-Genès-Champanelle, France
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Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), UR Qualité des Produits Animaux (QuaPA), 63122 Saint-Genès-Champanelle, France
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Université Clermont Auvergne, INRAE, UMR Microbiologie Environnement Digestif Santé (MEDiS), 63122 Saint-Genès-Champanelle, France
*
Author to whom correspondence should be addressed.
Biology 2020, 9(3), 56; https://doi.org/10.3390/biology9030056
Received: 26 February 2020
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Revised: 12 March 2020
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Accepted: 13 March 2020
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Published: 19 March 2020
(This article belongs to the Section Proteomics)
The commensal bacteria Escherichia coli causes several intestinal and extra-intestinal diseases, since it has virulence factors that interfere in important cellular processes. These bacteria also have a great capacity to spread the resistance genes, sometimes to phylogenetically distant bacteria, which poses an additional threat to public health worldwide. Here, we aimed to use the analytical potential of MALDI-TOF mass spectrometry (MS) to characterize E. coli isolates and identify proteins associated closely with antibiotic resistance. Thirty strains of extended-spectrum beta-lactamase producing E. coli were sampled from various animals. The phenotypes of antibiotic resistance were determined according to Clinical and Laboratory Standards Institute (CLSI) methods, and they showed that all bacterial isolates were multi-resistant to trimethoprim-sulfamethoxazole, tetracycline, and ampicillin. To identify peptides characteristic of resistance to particular antibiotics, each strain was grown in the presence or absence of the different antibiotics, and then proteins were extracted from the cells. The protein fingerprints of the samples were determined by MALDI-TOF MS in linear mode over a mass range of 2 to 20 kDa. The spectra obtained were compared by using the ClinProTools bioinformatics software, using three machine learning classification algorithms. A putative species biomarker was also detected at a peak m/z of 4528.00.
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Keywords:
antibiotics; bacterial resistance; one health; MALDI-TOF MS; biomarkers
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MDPI and ACS Style
Sousa, T.d.; Viala, D.; Théron, L.; Chambon, C.; Hébraud, M.; Poeta, P.; Igrejas, G. Putative Protein Biomarkers of Escherichia coli Antibiotic Multiresistance Identified by MALDI Mass Spectrometry. Biology 2020, 9, 56. https://doi.org/10.3390/biology9030056
AMA Style
Sousa Td, Viala D, Théron L, Chambon C, Hébraud M, Poeta P, Igrejas G. Putative Protein Biomarkers of Escherichia coli Antibiotic Multiresistance Identified by MALDI Mass Spectrometry. Biology. 2020; 9(3):56. https://doi.org/10.3390/biology9030056
Chicago/Turabian StyleSousa, Telma de, Didier Viala, Laetitia Théron, Christophe Chambon, Michel Hébraud, Patricia Poeta, and Gilberto Igrejas. 2020. "Putative Protein Biomarkers of Escherichia coli Antibiotic Multiresistance Identified by MALDI Mass Spectrometry" Biology 9, no. 3: 56. https://doi.org/10.3390/biology9030056
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