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

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,...

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Autores principales: den Bakker, Henk C., Allard, Marc W., Bopp, Dianna, Brown, Eric W., Fontana, John, Iqbal, Zamin, Kinney, Aristea, Limberger, Ronald, Musser, Kimberlee A., Shudt, Matthew, Strain, Errol, Wiedmann, Martin, Wolfgang, William J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4111163/
https://www.ncbi.nlm.nih.gov/pubmed/25062035
http://dx.doi.org/10.3201/eid2008.131399
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author den Bakker, Henk C.
Allard, Marc W.
Bopp, Dianna
Brown, Eric W.
Fontana, John
Iqbal, Zamin
Kinney, Aristea
Limberger, Ronald
Musser, Kimberlee A.
Shudt, Matthew
Strain, Errol
Wiedmann, Martin
Wolfgang, William J.
author_facet den Bakker, Henk C.
Allard, Marc W.
Bopp, Dianna
Brown, Eric W.
Fontana, John
Iqbal, Zamin
Kinney, Aristea
Limberger, Ronald
Musser, Kimberlee A.
Shudt, Matthew
Strain, Errol
Wiedmann, Martin
Wolfgang, William J.
author_sort den Bakker, Henk C.
collection PubMed
description 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.
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spelling pubmed-41111632014-08-05 Rapid Whole-Genome Sequencing for Surveillance of Salmonella enterica Serovar Enteritidis den Bakker, Henk C. Allard, Marc W. Bopp, Dianna Brown, Eric W. Fontana, John Iqbal, Zamin Kinney, Aristea Limberger, Ronald Musser, Kimberlee A. Shudt, Matthew Strain, Errol Wiedmann, Martin Wolfgang, William J. Emerg Infect Dis Research 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. Centers for Disease Control and Prevention 2014-08 /pmc/articles/PMC4111163/ /pubmed/25062035 http://dx.doi.org/10.3201/eid2008.131399 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Research
den Bakker, Henk C.
Allard, Marc W.
Bopp, Dianna
Brown, Eric W.
Fontana, John
Iqbal, Zamin
Kinney, Aristea
Limberger, Ronald
Musser, Kimberlee A.
Shudt, Matthew
Strain, Errol
Wiedmann, Martin
Wolfgang, William J.
Rapid Whole-Genome Sequencing for Surveillance of Salmonella enterica Serovar Enteritidis
title Rapid Whole-Genome Sequencing for Surveillance of Salmonella enterica Serovar Enteritidis
title_full Rapid Whole-Genome Sequencing for Surveillance of Salmonella enterica Serovar Enteritidis
title_fullStr Rapid Whole-Genome Sequencing for Surveillance of Salmonella enterica Serovar Enteritidis
title_full_unstemmed Rapid Whole-Genome Sequencing for Surveillance of Salmonella enterica Serovar Enteritidis
title_short Rapid Whole-Genome Sequencing for Surveillance of Salmonella enterica Serovar Enteritidis
title_sort rapid whole-genome sequencing for surveillance of salmonella enterica serovar enteritidis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4111163/
https://www.ncbi.nlm.nih.gov/pubmed/25062035
http://dx.doi.org/10.3201/eid2008.131399
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