%0 Journal Article %A Abelman, Rebecca L. %A M'ikanatha, Nkuchia M. %A Figler, Hillary M. %A Dudley, Edward G. %T Use of whole genome sequencing in surveillance for antimicrobial-resistant Shigella sonnei infections acquired from domestic and international sources %D 2019 %J Microbial Genomics, %V 5 %N 5 %@ 2057-5858 %C e000270 %R https://doi.org/10.1099/mgen.0.000270 %K Shigella sonnei %K antibiotic resistance %K microbial phylogenetics %I Microbiology Society, %X Shigella species are a major cause of gastroenteritis worldwide, and Shigella sonnei is the most common species isolated within the United States. Previous surveillance work in Pennsylvania documented increased antimicrobial resistance (AMR) in S. sonnei associated with reported illnesses. The present study examined a subset of these isolates by whole genome sequencing (WGS) to determine the relationship between domestic and international isolates, to identify genes that may be useful for identifying specific Global Lineages of S. sonnei and to test the accuracy of WGS for predicting AMR phenotype. A collection of 22 antimicrobial-resistant isolates from patients infected within the United States or while travelling internationally between 2009 and 2014 was chosen for WGS. Phylogenetic analysis revealed both international and domestic isolates were one of two previously defined Global Lineages of S. sonnei , designated Lineage II and Lineage III. Twelve of 17 alleles tested distinguish these two lineages. Lastly, genome analysis was used to identify AMR determinants. Genotypic analysis was concordant with phenotypic resistance for six of eight antibiotic classes. For aminoglycosides and trimethoprim, resistance genes were identified in two and three phenotypically sensitive isolates, respectively. This article contains data hosted by Microreact. %U https://www.microbiologyresearch.org/content/journal/mgen/10.1099/mgen.0.000270