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Salmonella enterica Prophage Sequence Profiles Reflect Genome Diversity and Can Be Used for High Discrimination Subtyping
Non-typhoidal Salmonella is a leading cause of foodborne illness worldwide. Prompt and accurate identification of the sources of Salmonella responsible for disease outbreaks is crucial to minimize infections and eliminate ongoing sources of contamination. Current subtyping tools including single nuc...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5945981/ https://www.ncbi.nlm.nih.gov/pubmed/29780368 http://dx.doi.org/10.3389/fmicb.2018.00836 |
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author | Mottawea, Walid Duceppe, Marc-Olivier Dupras, Andrée A. Usongo, Valentine Jeukens, Julie Freschi, Luca Emond-Rheault, Jean-Guillaume Hamel, Jeremie Kukavica-Ibrulj, Irena Boyle, Brian Gill, Alexander Burnett, Elton Franz, Eelco Arya, Gitanjali Weadge, Joel T. Gruenheid, Samantha Wiedmann, Martin Huang, Hongsheng Daigle, France Moineau, Sylvain Bekal, Sadjia Levesque, Roger C. Goodridge, Lawrence D. Ogunremi, Dele |
author_facet | Mottawea, Walid Duceppe, Marc-Olivier Dupras, Andrée A. Usongo, Valentine Jeukens, Julie Freschi, Luca Emond-Rheault, Jean-Guillaume Hamel, Jeremie Kukavica-Ibrulj, Irena Boyle, Brian Gill, Alexander Burnett, Elton Franz, Eelco Arya, Gitanjali Weadge, Joel T. Gruenheid, Samantha Wiedmann, Martin Huang, Hongsheng Daigle, France Moineau, Sylvain Bekal, Sadjia Levesque, Roger C. Goodridge, Lawrence D. Ogunremi, Dele |
author_sort | Mottawea, Walid |
collection | PubMed |
description | Non-typhoidal Salmonella is a leading cause of foodborne illness worldwide. Prompt and accurate identification of the sources of Salmonella responsible for disease outbreaks is crucial to minimize infections and eliminate ongoing sources of contamination. Current subtyping tools including single nucleotide polymorphism (SNP) typing may be inadequate, in some instances, to provide the required discrimination among epidemiologically unrelated Salmonella strains. Prophage genes represent the majority of the accessory genes in bacteria genomes and have potential to be used as high discrimination markers in Salmonella. In this study, the prophage sequence diversity in different Salmonella serovars and genetically related strains was investigated. Using whole genome sequences of 1,760 isolates of S. enterica representing 151 Salmonella serovars and 66 closely related bacteria, prophage sequences were identified from assembled contigs using PHASTER. We detected 154 different prophages in S. enterica genomes. Prophage sequences were highly variable among S. enterica serovars with a median ± interquartile range (IQR) of 5 ± 3 prophage regions per genome. While some prophage sequences were highly conserved among the strains of specific serovars, few regions were lineage specific. Therefore, strains belonging to each serovar could be clustered separately based on their prophage content. Analysis of S. Enteritidis isolates from seven outbreaks generated distinct prophage profiles for each outbreak. Taken altogether, the diversity of the prophage sequences correlates with genome diversity. Prophage repertoires provide an additional marker for differentiating S. enterica subtypes during foodborne outbreaks. |
format | Online Article Text |
id | pubmed-5945981 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-59459812018-05-18 Salmonella enterica Prophage Sequence Profiles Reflect Genome Diversity and Can Be Used for High Discrimination Subtyping Mottawea, Walid Duceppe, Marc-Olivier Dupras, Andrée A. Usongo, Valentine Jeukens, Julie Freschi, Luca Emond-Rheault, Jean-Guillaume Hamel, Jeremie Kukavica-Ibrulj, Irena Boyle, Brian Gill, Alexander Burnett, Elton Franz, Eelco Arya, Gitanjali Weadge, Joel T. Gruenheid, Samantha Wiedmann, Martin Huang, Hongsheng Daigle, France Moineau, Sylvain Bekal, Sadjia Levesque, Roger C. Goodridge, Lawrence D. Ogunremi, Dele Front Microbiol Microbiology Non-typhoidal Salmonella is a leading cause of foodborne illness worldwide. Prompt and accurate identification of the sources of Salmonella responsible for disease outbreaks is crucial to minimize infections and eliminate ongoing sources of contamination. Current subtyping tools including single nucleotide polymorphism (SNP) typing may be inadequate, in some instances, to provide the required discrimination among epidemiologically unrelated Salmonella strains. Prophage genes represent the majority of the accessory genes in bacteria genomes and have potential to be used as high discrimination markers in Salmonella. In this study, the prophage sequence diversity in different Salmonella serovars and genetically related strains was investigated. Using whole genome sequences of 1,760 isolates of S. enterica representing 151 Salmonella serovars and 66 closely related bacteria, prophage sequences were identified from assembled contigs using PHASTER. We detected 154 different prophages in S. enterica genomes. Prophage sequences were highly variable among S. enterica serovars with a median ± interquartile range (IQR) of 5 ± 3 prophage regions per genome. While some prophage sequences were highly conserved among the strains of specific serovars, few regions were lineage specific. Therefore, strains belonging to each serovar could be clustered separately based on their prophage content. Analysis of S. Enteritidis isolates from seven outbreaks generated distinct prophage profiles for each outbreak. Taken altogether, the diversity of the prophage sequences correlates with genome diversity. Prophage repertoires provide an additional marker for differentiating S. enterica subtypes during foodborne outbreaks. Frontiers Media S.A. 2018-05-04 /pmc/articles/PMC5945981/ /pubmed/29780368 http://dx.doi.org/10.3389/fmicb.2018.00836 Text en Copyright © 2018 Mottawea, Duceppe, Dupras, Usongo, Jeukens, Freschi, Emond-Rheault, Hamel, Kukavica-Ibrulj, Boyle, Gill, Burnett, Franz, Arya, Weadge, Gruenheid, Wiedmann, Huang, Daigle, Moineau, Bekal, Levesque, Goodridge and Ogunremi. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Mottawea, Walid Duceppe, Marc-Olivier Dupras, Andrée A. Usongo, Valentine Jeukens, Julie Freschi, Luca Emond-Rheault, Jean-Guillaume Hamel, Jeremie Kukavica-Ibrulj, Irena Boyle, Brian Gill, Alexander Burnett, Elton Franz, Eelco Arya, Gitanjali Weadge, Joel T. Gruenheid, Samantha Wiedmann, Martin Huang, Hongsheng Daigle, France Moineau, Sylvain Bekal, Sadjia Levesque, Roger C. Goodridge, Lawrence D. Ogunremi, Dele Salmonella enterica Prophage Sequence Profiles Reflect Genome Diversity and Can Be Used for High Discrimination Subtyping |
title | Salmonella enterica Prophage Sequence Profiles Reflect Genome Diversity and Can Be Used for High Discrimination Subtyping |
title_full | Salmonella enterica Prophage Sequence Profiles Reflect Genome Diversity and Can Be Used for High Discrimination Subtyping |
title_fullStr | Salmonella enterica Prophage Sequence Profiles Reflect Genome Diversity and Can Be Used for High Discrimination Subtyping |
title_full_unstemmed | Salmonella enterica Prophage Sequence Profiles Reflect Genome Diversity and Can Be Used for High Discrimination Subtyping |
title_short | Salmonella enterica Prophage Sequence Profiles Reflect Genome Diversity and Can Be Used for High Discrimination Subtyping |
title_sort | salmonella enterica prophage sequence profiles reflect genome diversity and can be used for high discrimination subtyping |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5945981/ https://www.ncbi.nlm.nih.gov/pubmed/29780368 http://dx.doi.org/10.3389/fmicb.2018.00836 |
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