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Towards diagnostic metagenomics of Campylobacter in fecal samples

BACKGROUND: The development of diagnostic metagenomics is driven by the need for universal, culture-independent methods for detection and characterization of pathogens to substitute the time-consuming, organism-specific, and often culture-based laboratory procedures for epidemiological source-tracin...

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Autores principales: Andersen, Sandra Christine, Kiil, Kristoffer, Harder, Christoffer Bugge, Josefsen, Mathilde Hasseldam, Persson, Søren, Nielsen, Eva Møller, Hoorfar, Jeffrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5465461/
https://www.ncbi.nlm.nih.gov/pubmed/28595575
http://dx.doi.org/10.1186/s12866-017-1041-3
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author Andersen, Sandra Christine
Kiil, Kristoffer
Harder, Christoffer Bugge
Josefsen, Mathilde Hasseldam
Persson, Søren
Nielsen, Eva Møller
Hoorfar, Jeffrey
author_facet Andersen, Sandra Christine
Kiil, Kristoffer
Harder, Christoffer Bugge
Josefsen, Mathilde Hasseldam
Persson, Søren
Nielsen, Eva Møller
Hoorfar, Jeffrey
author_sort Andersen, Sandra Christine
collection PubMed
description BACKGROUND: The development of diagnostic metagenomics is driven by the need for universal, culture-independent methods for detection and characterization of pathogens to substitute the time-consuming, organism-specific, and often culture-based laboratory procedures for epidemiological source-tracing. Some of the challenges in diagnostic metagenomics are, that it requires a great next-generation sequencing depth and unautomated data analysis. RESULTS: DNA from human fecal samples spiked with 7.75 × 10(1)−7.75 × 10(7) colony forming unit (CFU)/ml Campylobacter jejuni and chicken fecal samples spiked with 1 × 10(2)–1 × 10(6) CFU/g Campylobacter jejuni was sequenced and data analysis was done by the metagenomic tools Kraken and CLARK. More hits were obtained at higher spiking levels, however with no significant linear correlations (human samples p = 0.12, chicken samples p = 0.10). Therefore, no definite detection limit could be determined, but the lowest spiking levels found positive were 7.75 × 10(4) CFU/ml in human feces and 10(3) CFU/g in chicken feces. Eight human clinical fecal samples with estimated Campylobacter infection loads from 9.2 × 10(4)–1.0 × 10(9) CFU/ml were analyzed using the same methods. It was possible to detect Campylobacter in all the clinical samples. CONCLUSIONS: Sensitivity in diagnostic metagenomics is improving and has reached a clinically relevant level. There are still challenges to overcome before real-time diagnostic metagenomics can replace quantitative polymerase chain reaction (qPCR) or culture-based surveillance and diagnostics, but it is a promising new technology.
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spelling pubmed-54654612017-06-09 Towards diagnostic metagenomics of Campylobacter in fecal samples Andersen, Sandra Christine Kiil, Kristoffer Harder, Christoffer Bugge Josefsen, Mathilde Hasseldam Persson, Søren Nielsen, Eva Møller Hoorfar, Jeffrey BMC Microbiol Research Article BACKGROUND: The development of diagnostic metagenomics is driven by the need for universal, culture-independent methods for detection and characterization of pathogens to substitute the time-consuming, organism-specific, and often culture-based laboratory procedures for epidemiological source-tracing. Some of the challenges in diagnostic metagenomics are, that it requires a great next-generation sequencing depth and unautomated data analysis. RESULTS: DNA from human fecal samples spiked with 7.75 × 10(1)−7.75 × 10(7) colony forming unit (CFU)/ml Campylobacter jejuni and chicken fecal samples spiked with 1 × 10(2)–1 × 10(6) CFU/g Campylobacter jejuni was sequenced and data analysis was done by the metagenomic tools Kraken and CLARK. More hits were obtained at higher spiking levels, however with no significant linear correlations (human samples p = 0.12, chicken samples p = 0.10). Therefore, no definite detection limit could be determined, but the lowest spiking levels found positive were 7.75 × 10(4) CFU/ml in human feces and 10(3) CFU/g in chicken feces. Eight human clinical fecal samples with estimated Campylobacter infection loads from 9.2 × 10(4)–1.0 × 10(9) CFU/ml were analyzed using the same methods. It was possible to detect Campylobacter in all the clinical samples. CONCLUSIONS: Sensitivity in diagnostic metagenomics is improving and has reached a clinically relevant level. There are still challenges to overcome before real-time diagnostic metagenomics can replace quantitative polymerase chain reaction (qPCR) or culture-based surveillance and diagnostics, but it is a promising new technology. BioMed Central 2017-06-08 /pmc/articles/PMC5465461/ /pubmed/28595575 http://dx.doi.org/10.1186/s12866-017-1041-3 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Andersen, Sandra Christine
Kiil, Kristoffer
Harder, Christoffer Bugge
Josefsen, Mathilde Hasseldam
Persson, Søren
Nielsen, Eva Møller
Hoorfar, Jeffrey
Towards diagnostic metagenomics of Campylobacter in fecal samples
title Towards diagnostic metagenomics of Campylobacter in fecal samples
title_full Towards diagnostic metagenomics of Campylobacter in fecal samples
title_fullStr Towards diagnostic metagenomics of Campylobacter in fecal samples
title_full_unstemmed Towards diagnostic metagenomics of Campylobacter in fecal samples
title_short Towards diagnostic metagenomics of Campylobacter in fecal samples
title_sort towards diagnostic metagenomics of campylobacter in fecal samples
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5465461/
https://www.ncbi.nlm.nih.gov/pubmed/28595575
http://dx.doi.org/10.1186/s12866-017-1041-3
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