Epidemiological characterization of a nosocomial outbreak of extended spectrum β-lactamase Escherichia coli ST-131 confirms the clinical value of core genome multilocus sequence typing
Corresponding Author
Hanna Woksepp
Department of Clinical Microbiology, Kalmar County Hospital, Kalmar, Sweden
Department of Medicine and Optometry, Linnaeus University, Kalmar, Sweden
Hanna Woksepp, Department of Clinical Microbiology, Kalmar County Hospital, S-391 85 Kalmar, Sweden. e-mail: [email protected]Search for more papers by this authorAnna Ryberg
Department of Clinical Microbiology, Växjö Central Hospital, Växjö, Sweden
Search for more papers by this authorLinda Berglind
Division of Medical Diagnostics, Region Jönköping County, Jönköping, Sweden
Search for more papers by this authorThomas Schön
Department of Clinical Microbiology, Kalmar County Hospital, Kalmar, Sweden
Department of Medicine and Optometry, Linnaeus University, Kalmar, Sweden
Department Infectious Diseases, Kalmar County Hospital, Kalmar, Sweden
Department of Clinical and Experimental Medicine, Division of Medical Microbiology, Linköping University, Linköping, Sweden
Search for more papers by this authorJan Söderman
Division of Medical Diagnostics, Region Jönköping County, Jönköping, Sweden
Search for more papers by this authorCorresponding Author
Hanna Woksepp
Department of Clinical Microbiology, Kalmar County Hospital, Kalmar, Sweden
Department of Medicine and Optometry, Linnaeus University, Kalmar, Sweden
Hanna Woksepp, Department of Clinical Microbiology, Kalmar County Hospital, S-391 85 Kalmar, Sweden. e-mail: [email protected]Search for more papers by this authorAnna Ryberg
Department of Clinical Microbiology, Växjö Central Hospital, Växjö, Sweden
Search for more papers by this authorLinda Berglind
Division of Medical Diagnostics, Region Jönköping County, Jönköping, Sweden
Search for more papers by this authorThomas Schön
Department of Clinical Microbiology, Kalmar County Hospital, Kalmar, Sweden
Department of Medicine and Optometry, Linnaeus University, Kalmar, Sweden
Department Infectious Diseases, Kalmar County Hospital, Kalmar, Sweden
Department of Clinical and Experimental Medicine, Division of Medical Microbiology, Linköping University, Linköping, Sweden
Search for more papers by this authorJan Söderman
Division of Medical Diagnostics, Region Jönköping County, Jönköping, Sweden
Search for more papers by this authorAbstract
Enhanced precision of epidemiological typing in clinically suspected nosocomial outbreaks is crucial. Our aim was to investigate whether single nucleotide polymorphism (SNP) analysis and core genome (cg) multilocus sequence typing (MLST) of whole genome sequencing (WGS) data would more reliably identify a nosocomial outbreak, compared to earlier molecular typing methods. Sixteen isolates from a nosocomial outbreak of ESBL E. coli ST-131 in southeastern Sweden and three control strains were subjected to WGS. Sequences were explored by SNP analysis and cgMLST. cgMLST clearly differentiated between the outbreak isolates and the control isolates (>1400 differences). All clinically identified outbreak isolates showed close clustering (≥2 allele differences), except for two isolates (>50 allele differences). These data confirmed that the isolates with >50 differing genes did not belong to the nosocomial outbreak. The number of SNPs within the outbreak was ≤7, whereas the two discrepant isolates had >700 SNPs. Two of the ESBL E. coli ST-131 isolates did not belong to the clinically identified outbreak. Our results illustrate the power of WGS in terms of resolution, which may avoid overestimation of patients belonging to outbreaks as judged from epidemiological data and previously employed molecular methods with lower discriminatory ability.
Supporting Information
Filename | Description |
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apm12753-sup-0001-FigS1.tifimage/tif, 277.3 KB | Figure S1. Time line and location of retrieved E. coli isolates. |
apm12753-sup-0002-TableS1.xlsxMS Excel, 30.2 KB | Table S1. The cgMLST target definer results from SeqSphere+. |
apm12753-sup-0003-TableS2.xlsxMS Excel, 181.9 KB | Table S2. Results from cluster analysis using cgMLST scheme defined by SeqSphere+. |
Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
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