| Congresso Brasileiro de Microbiologia 2023 | Resumo: 281-1 | ||||
Resumo:The objective of this study was to assess antimicrobial resistance (AMR) in a swine production chain by analyzing the antimicrobial sensitivity profile of Escherichia coli strains and correlating the phenotypic and genotypic resistance profiles. A total of 37 E. coli strains were collected from various sources, including human and swine feces, different stages of the pork slaughter process, slaughterhouse environment, and final products, following a One Health approach. The phenotypic resistance profiles of the strains were determined using the in vitro antimicrobial susceptibility test (agar disk-diffusion test) with 12 antimicrobials from ten different classes. Out of the 37 strains, 68% (25/37) were resistant to at least one tested antimicrobial, while 32% (12/37) were sensitive to all antimicrobials tested. Genome sequencing (Next-Generation Sequencing - NGS) was performed using the Illumina MiSeq platform, and resistance genotypes were identified using AMRFinderPlus. A total of 31 antimicrobial resistance genes and five multidrug resistance genes were detected in the strains. The identified resistance genes encompassed various classes, including aminoglycosides, beta-lactams, chloramphenicol, fluoroquinolones, macrolides, phenicols, sulfonamides, tetracyclines, and trimethoprim. There was a 100% correlation between genotypic and phenotypic resistance to the tested antimicrobials in the resistant strains, except for macrolides, where no associated resistance gene was detected in the genomes of four phenotypically resistant strains. The susceptible strains exhibited variation in the correlation between genotypic and phenotypic resistance. The correlation was 89% for penicillins, cephalosporins, and carbapenems, 89% for monobactams, 72% for aminoglycosides, 25% for tetracyclines, 33% for quinolones, 48% for folate inhibitors, 10% for phenicols, and 3% for macrolides. This suggests that even though the susceptible strains did not show resistance in vitro, they carried genes that conferred resistance potential. The study highlights the importance of monitoring AMR in the swine production chain using advanced methodologies to identify resistance-associated markers. This information can contribute to the development of effective control measures for managing AMR in swine production and ensuring the responsible use of antimicrobials. Palavras-chave: disk-diffusion, NGS, multidrug resistance | |||||