Rapid metagenomic identification of viral pathogens in clinical samples by real-time nanopore sequencing analysis
We report unbiased metagenomic detection of chikungunya virus (CHIKV), Ebola virus (EBOV), and hepatitis C virus (HCV) from four human blood samples by MinION nanopore sequencing coupled to a newly developed, web-based pipeline for real-time bioinformatics analysis on a computational server or lapto...
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BioMed Central
2015
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Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4587849/ |
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pubmed-45878492015-09-30 Rapid metagenomic identification of viral pathogens in clinical samples by real-time nanopore sequencing analysis Greninger, Alexander L. Naccache, Samia N. Federman, Scot Yu, Guixia Mbala, Placide Bres, Vanessa Stryke, Doug Bouquet, Jerome Somasekar, Sneha Linnen, Jeffrey M. Dodd, Roger Mulembakani, Prime Schneider, Bradley S. Muyembe-Tamfum, Jean-Jacques Stramer, Susan L. Chiu, Charles Y. Method We report unbiased metagenomic detection of chikungunya virus (CHIKV), Ebola virus (EBOV), and hepatitis C virus (HCV) from four human blood samples by MinION nanopore sequencing coupled to a newly developed, web-based pipeline for real-time bioinformatics analysis on a computational server or laptop (MetaPORE). At titers ranging from 107–108 copies per milliliter, reads to EBOV from two patients with acute hemorrhagic fever and CHIKV from an asymptomatic blood donor were detected within 4 to 10 min of data acquisition, while lower titer HCV virus (1 × 105 copies per milliliter) was detected within 40 min. Analysis of mapped nanopore reads alone, despite an average individual error rate of 24 % (range 8–49 %), permitted identification of the correct viral strain in all four isolates, and 90 % of the genome of CHIKV was recovered with 97–99 % accuracy. Using nanopore sequencing, metagenomic detection of viral pathogens directly from clinical samples was performed within an unprecedented <6 hr sample-to-answer turnaround time, and in a timeframe amenable to actionable clinical and public health diagnostics. BioMed Central 2015-09-29 /pmc/articles/PMC4587849/ /pubmed/26416663 http://dx.doi.org/10.1186/s13073-015-0220-9 Text en © Greninger et al. 2015 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. |
repository_type |
Open Access Journal |
institution_category |
Foreign Institution |
institution |
US National Center for Biotechnology Information |
building |
NCBI PubMed |
collection |
Online Access |
language |
English |
format |
Online |
author |
Greninger, Alexander L. Naccache, Samia N. Federman, Scot Yu, Guixia Mbala, Placide Bres, Vanessa Stryke, Doug Bouquet, Jerome Somasekar, Sneha Linnen, Jeffrey M. Dodd, Roger Mulembakani, Prime Schneider, Bradley S. Muyembe-Tamfum, Jean-Jacques Stramer, Susan L. Chiu, Charles Y. |
spellingShingle |
Greninger, Alexander L. Naccache, Samia N. Federman, Scot Yu, Guixia Mbala, Placide Bres, Vanessa Stryke, Doug Bouquet, Jerome Somasekar, Sneha Linnen, Jeffrey M. Dodd, Roger Mulembakani, Prime Schneider, Bradley S. Muyembe-Tamfum, Jean-Jacques Stramer, Susan L. Chiu, Charles Y. Rapid metagenomic identification of viral pathogens in clinical samples by real-time nanopore sequencing analysis |
author_facet |
Greninger, Alexander L. Naccache, Samia N. Federman, Scot Yu, Guixia Mbala, Placide Bres, Vanessa Stryke, Doug Bouquet, Jerome Somasekar, Sneha Linnen, Jeffrey M. Dodd, Roger Mulembakani, Prime Schneider, Bradley S. Muyembe-Tamfum, Jean-Jacques Stramer, Susan L. Chiu, Charles Y. |
author_sort |
Greninger, Alexander L. |
title |
Rapid metagenomic identification of viral pathogens in clinical samples by real-time nanopore sequencing analysis |
title_short |
Rapid metagenomic identification of viral pathogens in clinical samples by real-time nanopore sequencing analysis |
title_full |
Rapid metagenomic identification of viral pathogens in clinical samples by real-time nanopore sequencing analysis |
title_fullStr |
Rapid metagenomic identification of viral pathogens in clinical samples by real-time nanopore sequencing analysis |
title_full_unstemmed |
Rapid metagenomic identification of viral pathogens in clinical samples by real-time nanopore sequencing analysis |
title_sort |
rapid metagenomic identification of viral pathogens in clinical samples by real-time nanopore sequencing analysis |
description |
We report unbiased metagenomic detection of chikungunya virus (CHIKV), Ebola virus (EBOV), and hepatitis C virus (HCV) from four human blood samples by MinION nanopore sequencing coupled to a newly developed, web-based pipeline for real-time bioinformatics analysis on a computational server or laptop (MetaPORE). At titers ranging from 107–108 copies per milliliter, reads to EBOV from two patients with acute hemorrhagic fever and CHIKV from an asymptomatic blood donor were detected within 4 to 10 min of data acquisition, while lower titer HCV virus (1 × 105 copies per milliliter) was detected within 40 min. Analysis of mapped nanopore reads alone, despite an average individual error rate of 24 % (range 8–49 %), permitted identification of the correct viral strain in all four isolates, and 90 % of the genome of CHIKV was recovered with 97–99 % accuracy. Using nanopore sequencing, metagenomic detection of viral pathogens directly from clinical samples was performed within an unprecedented <6 hr sample-to-answer turnaround time, and in a timeframe amenable to actionable clinical and public health diagnostics. |
publisher |
BioMed Central |
publishDate |
2015 |
url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4587849/ |
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1613481613954383872 |