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GenomeTrakr proficiency testing for foodborne pathogen surveillance: an exercise from 2015

Pathogen monitoring is becoming more precise as sequencing technologies become more affordable and accessible worldwide. This transition is especially apparent in the field of food safety, which has demonstrated how whole-genome sequencing (WGS) can be used on a global scale to protect public health...

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Autores principales: Timme, Ruth E., Rand, Hugh, Sanchez Leon, Maria, Hoffmann, Maria, Strain, Errol, Allard, Marc, Roberson, Dwayne, Baugher, Joseph D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Microbiology Society 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6113870/
https://www.ncbi.nlm.nih.gov/pubmed/29906258
http://dx.doi.org/10.1099/mgen.0.000185
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author Timme, Ruth E.
Rand, Hugh
Sanchez Leon, Maria
Hoffmann, Maria
Strain, Errol
Allard, Marc
Roberson, Dwayne
Baugher, Joseph D.
author_facet Timme, Ruth E.
Rand, Hugh
Sanchez Leon, Maria
Hoffmann, Maria
Strain, Errol
Allard, Marc
Roberson, Dwayne
Baugher, Joseph D.
author_sort Timme, Ruth E.
collection PubMed
description Pathogen monitoring is becoming more precise as sequencing technologies become more affordable and accessible worldwide. This transition is especially apparent in the field of food safety, which has demonstrated how whole-genome sequencing (WGS) can be used on a global scale to protect public health. GenomeTrakr coordinates the WGS performed by public-health agencies and other partners by providing a public database with real-time cluster analysis for foodborne pathogen surveillance. Because WGS is being used to support enforcement decisions, it is essential to have confidence in the quality of the data being used and the downstream data analyses that guide these decisions. Routine proficiency tests, such as the one described here, have an important role in ensuring the validity of both data and procedures. In 2015, the GenomeTrakr proficiency test distributed eight isolates of common foodborne pathogens to participating laboratories, who were required to follow a specific protocol for performing WGS. Resulting sequence data were evaluated for several metrics, including proper labelling, sequence quality and new single nucleotide polymorphisms (SNPs). Illumina MiSeq sequence data collected for the same set of strains across 21 different laboratories exhibited high reproducibility, while revealing a narrow range of technical and biological variance. The numbers of SNPs reported for sequencing runs of the same isolates across multiple laboratories support the robustness of our cluster analysis pipeline in that each individual isolate cultured and resequenced multiple times in multiple places are all easily identifiable as originating from the same source.
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spelling pubmed-61138702018-08-30 GenomeTrakr proficiency testing for foodborne pathogen surveillance: an exercise from 2015 Timme, Ruth E. Rand, Hugh Sanchez Leon, Maria Hoffmann, Maria Strain, Errol Allard, Marc Roberson, Dwayne Baugher, Joseph D. Microb Genom Research Article Pathogen monitoring is becoming more precise as sequencing technologies become more affordable and accessible worldwide. This transition is especially apparent in the field of food safety, which has demonstrated how whole-genome sequencing (WGS) can be used on a global scale to protect public health. GenomeTrakr coordinates the WGS performed by public-health agencies and other partners by providing a public database with real-time cluster analysis for foodborne pathogen surveillance. Because WGS is being used to support enforcement decisions, it is essential to have confidence in the quality of the data being used and the downstream data analyses that guide these decisions. Routine proficiency tests, such as the one described here, have an important role in ensuring the validity of both data and procedures. In 2015, the GenomeTrakr proficiency test distributed eight isolates of common foodborne pathogens to participating laboratories, who were required to follow a specific protocol for performing WGS. Resulting sequence data were evaluated for several metrics, including proper labelling, sequence quality and new single nucleotide polymorphisms (SNPs). Illumina MiSeq sequence data collected for the same set of strains across 21 different laboratories exhibited high reproducibility, while revealing a narrow range of technical and biological variance. The numbers of SNPs reported for sequencing runs of the same isolates across multiple laboratories support the robustness of our cluster analysis pipeline in that each individual isolate cultured and resequenced multiple times in multiple places are all easily identifiable as originating from the same source. Microbiology Society 2018-06-15 /pmc/articles/PMC6113870/ /pubmed/29906258 http://dx.doi.org/10.1099/mgen.0.000185 Text en http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Timme, Ruth E.
Rand, Hugh
Sanchez Leon, Maria
Hoffmann, Maria
Strain, Errol
Allard, Marc
Roberson, Dwayne
Baugher, Joseph D.
GenomeTrakr proficiency testing for foodborne pathogen surveillance: an exercise from 2015
title GenomeTrakr proficiency testing for foodborne pathogen surveillance: an exercise from 2015
title_full GenomeTrakr proficiency testing for foodborne pathogen surveillance: an exercise from 2015
title_fullStr GenomeTrakr proficiency testing for foodborne pathogen surveillance: an exercise from 2015
title_full_unstemmed GenomeTrakr proficiency testing for foodborne pathogen surveillance: an exercise from 2015
title_short GenomeTrakr proficiency testing for foodborne pathogen surveillance: an exercise from 2015
title_sort genometrakr proficiency testing for foodborne pathogen surveillance: an exercise from 2015
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6113870/
https://www.ncbi.nlm.nih.gov/pubmed/29906258
http://dx.doi.org/10.1099/mgen.0.000185
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