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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...

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Autores principales: 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
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/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.
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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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