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Genomic Epidemiology of Salmonella enterica Serotype Enteritidis based on Population Structure of Prevalent Lineages
Salmonella enterica serotype Enteritidis is one of the most commonly reported causes of human salmonellosis. Its low genetic diversity, measured by fingerprinting methods, has made subtyping a challenge. We used whole-genome sequencing to characterize 125 S. enterica Enteritidis and 3 S. enterica se...
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/PMC4178404/ https://www.ncbi.nlm.nih.gov/pubmed/25147968 http://dx.doi.org/10.3201/eid2009.131095 |
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author | Deng, Xiangyu Desai, Prerak T. den Bakker, Henk C. Mikoleit, Matthew Tolar, Beth Trees, Eija Hendriksen, Rene S. Frye, Jonathan G. Porwollik, Steffen Weimer, Bart C. Wiedmann, Martin Weinstock, George M. Fields, Patricia I. McClelland, Michael |
author_facet | Deng, Xiangyu Desai, Prerak T. den Bakker, Henk C. Mikoleit, Matthew Tolar, Beth Trees, Eija Hendriksen, Rene S. Frye, Jonathan G. Porwollik, Steffen Weimer, Bart C. Wiedmann, Martin Weinstock, George M. Fields, Patricia I. McClelland, Michael |
author_sort | Deng, Xiangyu |
collection | PubMed |
description | Salmonella enterica serotype Enteritidis is one of the most commonly reported causes of human salmonellosis. Its low genetic diversity, measured by fingerprinting methods, has made subtyping a challenge. We used whole-genome sequencing to characterize 125 S. enterica Enteritidis and 3 S. enterica serotype Nitra strains. Single-nucleotide polymorphisms were filtered to identify 4,887 reliable loci that distinguished all isolates from each other. Our whole-genome single-nucleotide polymorphism typing approach was robust for S. enterica Enteritidis subtyping with combined data for different strains from 2 different sequencing platforms. Five major genetic lineages were recognized, which revealed possible patterns of geographic and epidemiologic distribution. Analyses on the population dynamics and evolutionary history estimated that major lineages emerged during the 17th–18th centuries and diversified during the 1920s and 1950s. |
format | Online Article Text |
id | pubmed-4178404 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-41784042014-09-30 Genomic Epidemiology of Salmonella enterica Serotype Enteritidis based on Population Structure of Prevalent Lineages Deng, Xiangyu Desai, Prerak T. den Bakker, Henk C. Mikoleit, Matthew Tolar, Beth Trees, Eija Hendriksen, Rene S. Frye, Jonathan G. Porwollik, Steffen Weimer, Bart C. Wiedmann, Martin Weinstock, George M. Fields, Patricia I. McClelland, Michael Emerg Infect Dis Research Salmonella enterica serotype Enteritidis is one of the most commonly reported causes of human salmonellosis. Its low genetic diversity, measured by fingerprinting methods, has made subtyping a challenge. We used whole-genome sequencing to characterize 125 S. enterica Enteritidis and 3 S. enterica serotype Nitra strains. Single-nucleotide polymorphisms were filtered to identify 4,887 reliable loci that distinguished all isolates from each other. Our whole-genome single-nucleotide polymorphism typing approach was robust for S. enterica Enteritidis subtyping with combined data for different strains from 2 different sequencing platforms. Five major genetic lineages were recognized, which revealed possible patterns of geographic and epidemiologic distribution. Analyses on the population dynamics and evolutionary history estimated that major lineages emerged during the 17th–18th centuries and diversified during the 1920s and 1950s. Centers for Disease Control and Prevention 2014-09 /pmc/articles/PMC4178404/ /pubmed/25147968 http://dx.doi.org/10.3201/eid2009.131095 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 Deng, Xiangyu Desai, Prerak T. den Bakker, Henk C. Mikoleit, Matthew Tolar, Beth Trees, Eija Hendriksen, Rene S. Frye, Jonathan G. Porwollik, Steffen Weimer, Bart C. Wiedmann, Martin Weinstock, George M. Fields, Patricia I. McClelland, Michael Genomic Epidemiology of Salmonella enterica Serotype Enteritidis based on Population Structure of Prevalent Lineages |
title | Genomic Epidemiology of Salmonella enterica Serotype Enteritidis based on Population Structure of Prevalent Lineages |
title_full | Genomic Epidemiology of Salmonella enterica Serotype Enteritidis based on Population Structure of Prevalent Lineages |
title_fullStr | Genomic Epidemiology of Salmonella enterica Serotype Enteritidis based on Population Structure of Prevalent Lineages |
title_full_unstemmed | Genomic Epidemiology of Salmonella enterica Serotype Enteritidis based on Population Structure of Prevalent Lineages |
title_short | Genomic Epidemiology of Salmonella enterica Serotype Enteritidis based on Population Structure of Prevalent Lineages |
title_sort | genomic epidemiology of salmonella enterica serotype enteritidis based on population structure of prevalent lineages |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4178404/ https://www.ncbi.nlm.nih.gov/pubmed/25147968 http://dx.doi.org/10.3201/eid2009.131095 |
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