Multidrug resistance of Salmonella infantis in Peru: a study through next generation sequencing
To describe the phenotypic and genotypic patterns of the antimicrobial resistance of Salmonella Infantis in Peru. Two hundred and ninety-seven strains of Salmonella sp. submitted to the National Institute of Health (INS, in Spanish) during 2014-2016 were analyzed. The strains were phenotypically cha...
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Veröffentlicht in: | Revista peruana de medicina experimental y salud pública 2019-01, Vol.36 (1), p.37-45 |
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Format: | Artikel |
Sprache: | spa |
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Zusammenfassung: | To describe the phenotypic and genotypic patterns of the antimicrobial resistance of Salmonella Infantis in Peru.
Two hundred and ninety-seven strains of Salmonella sp. submitted to the National Institute of Health (INS, in Spanish) during 2014-2016 were analyzed. The strains were phenotypically characterized by microbiological, serological, and antimicrobial susceptibility tests. Based on antimicrobial resistance patterns, 46 strains were selected and genetically characterized by next generation sequencing.
193/297 (65%) strains of Salmonella Infantis were identified, of which 143 (74.1%) were multidrug-resistant producers of extended spectrum beta-lactamases (ESBL). The genomic sequencing evidenced a new profile for Salmonella Infantis; additionally, it identified the presence of 15 different genetic determinants of antimicrobial resistance coded in bacterial chromosome and five coded in a megaplasmid. The phenotypic and genotypic resistance patterns matched, with the exception of ceftazidime. Moreover, the 46 strains presented resistance and/or decreased sensitivity to quinolones.
Salmonella Infantis has become one of the sero-varieties most frequently referred to the INS, which includes ESBLproducing multidrug-resistant strains with resistance to quinolones. Finally, the relevance of next generation sequencing is reasserted in the characterization of new variants of pathogens that are important for public health, and their potential use in antimicrobial resistance surveillance systems. |
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ISSN: | 1726-4642 |
DOI: | 10.17843/rpmesp.2019.361.3934 |