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Comparing Antimicrobial Resistant Genes And Phenotypes Across Multiple Sequencing Platforms And Assays For Enterobacterales Clinical Isolates, Rebecca Rose, David J. Nolan, Deborah Ashcraft, Amy K. Feehan, Leonor Velez-Climent, Christopher Huston, Benjamin Lain, Simon Rosenthal, Lucio Miele, Gary B. Fogel, George Pankey, Julia Garcia-Diaz, Susanna L. Lamers Aug 2023

Comparing Antimicrobial Resistant Genes And Phenotypes Across Multiple Sequencing Platforms And Assays For Enterobacterales Clinical Isolates, Rebecca Rose, David J. Nolan, Deborah Ashcraft, Amy K. Feehan, Leonor Velez-Climent, Christopher Huston, Benjamin Lain, Simon Rosenthal, Lucio Miele, Gary B. Fogel, George Pankey, Julia Garcia-Diaz, Susanna L. Lamers

School of Medicine Faculty Publications

Introduction: Whole genome sequencing (WGS) of bacterial isolates can be used to identify antimicrobial resistance (AMR) genes. Previous studies have shown that genotype-based AMR has variable accuracy for predicting carbapenem resistance in carbapenem-resistant Enterobacterales (CRE); however, the majority of these studies used short-read platforms (e.g. Illumina) to generate sequence data. In this study, our objective was to determine whether Oxford Nanopore Technologies (ONT) long-read WGS would improve detection of carbapenem AMR genes with respect to short-read only WGS for nine clinical CRE samples. We measured the minimum inhibitory breakpoint (MIC) using two phenotype assays (MicroScan and ETEST) for six antibiotics, …