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bioRxiv · 10.1101/361196

Whole genome sequencing of antimicrobial-resistant Shigella sonnei associated with infection acquired from international and domestic setting reveals gene allelic variants that predict Global Lineages

Abstract

Shigella spp. are a major cause of gastroenteritis worldwide, and S. sonnei is the most common species isolated within the United States. Recently, advancements in technology have made whole genome sequencing (WGS) readily available, and as such, laboratories are moving to implement WGS in outbreak analysis, surveillance, and antimicrobial resistance (AMR) monitoring of major foodborne pathogens. Accordingly, our study examined a collection of 22 antimicrobial resistant S. sonnei isolates from patients who either acquired the infections within the United States or when travelling to international locations between 2009 to 2014. We applied WGS to investigate both the relatedness of these isolates and the genetic determinants of AMR to address the phenotypic differences seen in previous observations. We analyzed the phylogeny of these strains and observed segmentation based on the previously described Global Lineages of S. sonnei. Following these results, 17 gene sequences with lineage specific single nucleotide polymorphisms (SNPs) were identified and developed into a lineage prediction test to determine the Global Lineage of uncharacterized S. sonnei, which accurately predicted phylogenetic segmentation and additionally showed specificity for S. sonnei genomes (97% accuracy, 38/39 genomes). Lastly, to determine differences between either the international or domestic isolates or between the Global Lineages, the AMR determinants were identified. We found a variety of AMR determinants within the genomes, and while the international and domestic S. sonnei carried similar resistance determinants, differences between Global Lineages were observed.

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Abelman, R. L., M'ikanatha, N. M., Dudley, E. G.. 2018-07-03. Whole genome sequencing of antimicrobial-resistant Shigella sonnei associated with infection acquired from international and domestic setting reveals gene allelic variants that predict Global Lineages. https://doi.org/10.1101/361196

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