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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,...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2014
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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. |
format | Online Article Text |
id | pubmed-4111163 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
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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