Metagenomic Next-Generation Sequencing of the 2014 Ebola Virus Disease Outbreak in the Democratic Republic of the Congo.
2014 Boende outbreak
Ebola virus
Orungo virus
coinfection
molecular clock analysis
next-generation sequencing
pathogen discovery
phylogenetic analysis
viral genome assembly
viral metagenomics
Journal
Journal of clinical microbiology
ISSN: 1098-660X
Titre abrégé: J Clin Microbiol
Pays: United States
ID NLM: 7505564
Informations de publication
Date de publication:
09 2019
09 2019
Historique:
received:
22
05
2019
accepted:
26
06
2019
pubmed:
19
7
2019
medline:
8
7
2020
entrez:
19
7
2019
Statut:
epublish
Résumé
We applied metagenomic next-generation sequencing (mNGS) to detect Zaire Ebola virus (EBOV) and other potential pathogens from whole-blood samples from 70 patients with suspected Ebola hemorrhagic fever during a 2014 outbreak in Boende, Democratic Republic of the Congo (DRC) and correlated these findings with clinical symptoms. Twenty of 31 patients (64.5%) tested in Kinshasa, DRC, were EBOV positive by quantitative reverse transcriptase PCR (qRT-PCR). Despite partial degradation of sample RNA during shipping and handling, mNGS followed by EBOV-specific capture probe enrichment in a U.S. genomics laboratory identified EBOV reads in 22 of 70 samples (31.4%) versus in 21 of 70 (30.0%) EBOV-positive samples by repeat qRT-PCR (overall concordance = 87.1%). Reads from
Identifiants
pubmed: 31315955
pii: JCM.00827-19
doi: 10.1128/JCM.00827-19
pmc: PMC6711896
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : NHLBI NIH HHS
ID : R01 HL105704
Pays : United States
Organisme : NIAID NIH HHS
ID : R21 AI120977
Pays : United States
Organisme : NIAID NIH HHS
ID : R33 AI120977
Pays : United States
Informations de copyright
Copyright © 2019 Li et al.
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