Defining the phylogenomics of Shigella species:a pathway to diagnostics

Sahl, Jason W, Morris, Carolyn R, Emberger, Jennifer, Fraser, Claire M, Ochieng, John Benjamin, Juma, Jane, Fields, Barry, Breiman, Robert F, Gilmour, Matthew, Nataro, James P and Rasko, David A (2015) Defining the phylogenomics of Shigella species:a pathway to diagnostics. Journal of Clinical Microbiology, 53 (3). pp. 951-960. ISSN 0095-1137

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Shigellae cause significant diarrheal disease and mortality in humans, as there are approximately 163 million episodes of shigellosis and 1.1 million deaths annually. While significant strides have been made in the understanding of the pathogenesis, few studies on the genomic content of the Shigella species have been completed. The goal of this study was to characterize the genomic diversity of Shigella species through sequencing of 55 isolates representing members of each of the four Shigella species: S. flexneri, S. sonnei, S. boydii, and S. dysenteriae. Phylogeny inferred from 336 available Shigella and Escherichia coli genomes defined exclusive clades of Shigella; conserved genomic markers that can identify each clade were then identified. PCR assays were developed for each clade-specific marker, which was combined with an amplicon for the conserved Shigella invasion antigen, IpaH3, into a multiplex PCR assay. This assay demonstrated high specificity, correctly identifying 218 of 221 presumptive Shigella isolates, and sensitivity, by not identifying any of 151 diverse E. coli isolates incorrectly as Shigella. This new phylogenomics-based PCR assay represents a valuable tool for rapid typing of uncharacterized Shigella isolates and provides a framework that can be utilized for the identification of novel genomic markers from genomic data.

Item Type: Article
Additional Information: Copyright © 2015, American Society for Microbiology. All Rights Reserved.
Uncontrolled Keywords: cluster analysis,chemistry,diagnosis,genetic variation,genome, bacterial,humans,methods,phylogeny,sensitivity and specificity,sequence analysis, dna,classification,sdg 3 - good health and well-being ,/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being
Faculty \ School: Faculty of Medicine and Health Sciences > Norwich Medical School
Depositing User: LivePure Connector
Date Deposited: 28 Aug 2020 00:05
Last Modified: 22 Oct 2022 06:42
DOI: 10.1128/JCM.03527-14

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