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Rapid Whole-Genome Sequencing for Surveillance of Salmonella enterica Serovar Enteritidis

Authors :
Henk C. den Bakker
Marc W. Allard
Dianna Bopp
Eric W. Brown
John Fontana
Zamin Iqbal
Aristea Kinney
Ronald Limberger
Kimberlee A. Musser
Matthew Shudt
Errol Strain
Martin Wiedmann
William J. Wolfgang
Source :
Emerging Infectious Diseases, Vol 20, Iss 8, Pp 1306-1314 (2014)
Publication Year :
2014
Publisher :
Centers for Disease Control and Prevention, 2014.

Abstract

For Salmonella enterica serovar Enteritidis, 85% of isolates can be classified into 5 pulsed-field gel electrophoresis (PFGE) types. However, PFGE has limited discriminatory power for outbreak detection. Although whole-genome sequencing has been found to improve discrimination of outbreak clusters, whether this procedure can be used in real-time in a public health laboratory is not known. Therefore, we conducted a retrospective and prospective analysis. The retrospective study investigated isolates from 1 confirmed outbreak. Additional cases could be attributed to the outbreak strain on the basis of whole-genome data. The prospective study included 58 isolates obtained in 2012, including isolates from 1 epidemiologically defined outbreak. Whole-genome sequencing identified additional isolates that could be attributed to the outbreak, but which differed from the outbreak-associated PFGE type. Additional putative outbreak clusters were detected in the retrospective and prospective analyses. This study demonstrates the practicality of implementing this approach for outbreak surveillance in a state public health laboratory.

Details

Language :
English
ISSN :
10806040 and 10806059
Volume :
20
Issue :
8
Database :
Directory of Open Access Journals
Journal :
Emerging Infectious Diseases
Publication Type :
Academic Journal
Accession number :
edsdoj.34865c638fe42e68cd1069bb7143f19
Document Type :
article
Full Text :
https://doi.org/10.3201/eid2008.131399