Use of whole genome sequencing in surveillance for antimicrobial-resistant Shigella sonnei infections acquired from domestic and international sources
| Autor: | Edward G. Dudley, Nkuchia M. M'ikanatha, Hillary M. Figler, Rebecca L. Abelman |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
DNA
Bacterial antibiotic resistance Genotype Lineage (evolution) Microbial evolution and epidemiology: Population Genomics Shigella sonnei Microbial Sensitivity Tests Biology Polymorphism Single Nucleotide Genome 03 medical and health sciences Antibiotic resistance BioResource Drug Resistance Multiple Bacterial Humans microbial phylogenetics Gene Alleles Phylogeny Dysentery Bacillary 030304 developmental biology Genetics Whole genome sequencing 0303 health sciences Whole Genome Sequencing Phylogenetic tree 030306 microbiology Sequence Analysis DNA General Medicine United States Anti-Bacterial Agents 3. Good health Phenotype Genome Bacterial |
| Zdroj: | Microbial Genomics |
| ISSN: | 2057-5858 |
| DOI: | 10.1099/mgen.0.000270 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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