Metagenomic Analysis Reveals Clinical SARS-CoV-2 Infection and Bacterial or Viral Superinfection and Colonization
Author(s) -
Vikas Peddu,
Ryan C. Shean,
Hong Xie,
Lasata Shrestha,
Garrett A. Perchetti,
Samuel S. Minot,
Pavitra Roychoudhury,
MeeiLi Huang,
Arun Kumar Nalla,
Shriya B. Reddy,
Quynh Phung,
Adam Reinhardt,
Keith R. Jerome,
Alexander L. Greninger
Publication year - 2020
Publication title -
clinical chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.705
H-Index - 218
eISSN - 1530-8561
pISSN - 0009-9147
DOI - 10.1093/clinchem/hvaa106
Subject(s) - metagenomics , biology , virology , superinfection , context (archaeology) , rhinovirus , betacoronavirus , microbiology and biotechnology , computational biology , virus , covid-19 , genetics , gene , medicine , infectious disease (medical specialty) , disease , pathology , paleontology
Background More than 2 months separated the initial description of SARS-CoV-2 and discovery of its widespread dissemination in the United States. Despite this lengthy interval, implementation of specific quantitative reverse transcription (qRT)-PCR-based SARS-CoV-2 tests in the US has been slow, and testing is still not widely available. Metagenomic sequencing offers the promise of unbiased detection of emerging pathogens, without requiring prior knowledge of the identity of the responsible agent or its genomic sequence. Methods To evaluate metagenomic approaches in the context of the current SARS-CoV-2 epidemic, laboratory-confirmed positive and negative samples from Seattle, WA were evaluated by metagenomic sequencing, with comparison to a 2019 reference genomic database created before the emergence of SARS-CoV-2. Results Within 36 h our results showed clear identification of a novel human Betacoronavirus, closely related to known Betacoronaviruses of bats, in laboratory-proven cases of SARS-CoV-2. A subset of samples also showed superinfection or colonization with human parainfluenza virus 3 or Moraxella species, highlighting the need to test directly for SARS-CoV-2 as opposed to ruling out an infection using a viral respiratory panel. Samples negative for SARS-CoV-2 by RT-PCR were also negative by metagenomic analysis, and positive for Rhinovirus A and C. Unlike targeted SARS-CoV-2 qRT-PCR testing, metagenomic analysis of these SARS-CoV-2 negative samples identified candidate etiological agents for the patients’ respiratory symptoms. Conclusion Taken together, these results demonstrate the value of metagenomic analysis in the monitoring and response to this and future viral pandemics.
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