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<strong>JIOMICS</strong> | VOL 5 | ISSUE 2 | DECEMBER 2015 | 1-62<br />

JOURNAL OF INTEGRATED OMICS<br />

Journal of Integrated Omics<br />

A METHODOLOGICAL JOURNAL<br />

HTTP://WWW.<strong>JIOMICS</strong>.COM<br />

Special Issue: Proceeding Abstracts of the 4 th International Congress on Analytical Proteomics (ICAP 2015)<br />

The proteomic proficiency to identify and elucidate antimicrobial resistance<br />

bacteria<br />

G. Igrejas* 1,2,3,4 , A. Gonçalves 1,2 , T. Santos 1,2 , C. Marinho 1,2 , S. Correia 1,2 , R. Monteiro 1,2 , L. Pinto 1,2 , H. Radhouani 1,2 , S. Ramos 1,2 , J.<br />

L. Capelo 3,4 , H. M. Santos 3,4 and P. Poeta 3,4,5<br />

1<br />

Department of Genetics and Biotechnology, University of Trás-os-Montes and Alto Douro, Vila Real, Portugal. 2 Functional Genomics and<br />

Proteomics Unit, University of Trás-os-Montes and Alto Douro, Vila Real, Portugal. 3 BIOSCOPE Group, REQUIMTE-CQFB Chemistry<br />

Department, Faculty of Science and Technology, University NOVA of Lisbon, Lisbon, Portugal. 4 ProteoMass Scientific Society. Faculty of<br />

Sciences and Technology. Campus de Caparica, Caparica. Portugal. 5 Veterinary Science Department, University of Trás-os-Montes and Alto<br />

Douro, Vila Real, Portugal. *Corresponding author: gigrejas@utad.pt<br />

Available Online: 31 December 2015<br />

Abstract<br />

Purpose: To consider the contribution of proteomics to the study of antimicrobial-resistant (AMR) bacteria from clinical and environmental<br />

origin.<br />

Experimental description: Proteomic approaches have been considerably improved during the past decade and have been used to overview<br />

and investigate the differences in protein expression profiles of cells grown under a broad spectrum of growth conditions and with different<br />

stress factors including antibiotics. The Functional Genomics and Proteomics Unit based at the University of Trás-os-Montes e Alto Douro<br />

(Vila Real, Portugal), using gel-based proteomic methodologies (e.g. 2D-GE, MALDI-TOF/MS, LC-MS/MS) has aimed to elucidate the distinctive<br />

characteristics of AMR bacteria from different sources, either clinical or environmental.<br />

Results: From Salmonella Typhimurium and methicillin-resistant Staphylococcus aureus human clinical strains to Enterococcus spp. and<br />

Escherichia coli environmental strains recovered from wildlife species the work done so far has allowed to overview the proteome of several strains<br />

during induced stresses and to identify the most recurrent and deviations in the identified proteins associated biological processes. The research<br />

done allowed identifying antimicrobial proteins directly related with antimicrobial resistance or to bacterial virulence that complemented<br />

previously published genomic data where no specific mechanisms of resistance/virulence have been elucidated. Other identified proteins<br />

shown to be indirectly related with antimicrobial resistance or to bacterial virulence like chaperone proteins linked with aminoglycosides resistance,<br />

membranar proteins previously shown to increase the level of resistance to tetracycline or associated with increased virulence. Moreover,<br />

comparative proteomics studies presented an overview of the complex changes in expression and metabolism that occur when AMR bacteria<br />

is stressed with specific antibiotics. For instance, the abundance of chaperone, porin and export proteins showed to be particularly affected<br />

during antibiotic stressing conditions, which indicates that the stress response and transport functions are essential and directly influence<br />

the antibiotic resistance response of AMR strains.<br />

Conclusions: The proteomic profiling allows to obtain an overview of the proteins present under specific stress conditions while the comparative<br />

proteomics methodologies allows to investigate differences in protein expression profiles of cells grown under different stress factors.<br />

Proteomic studies of stress-induced metabolism changes in bacterial strains from clinical and environmental origins might show how different<br />

strains are related and how different environments act as reservoirs.<br />

Keywords: Proteomics, Gel-based Methodologies, Antimicrobial Resistance, Clinical Bacteria, Environmental Bacteria.<br />

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