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Published in: BMC Infectious Diseases 1/2014

Open Access 01-12-2014 | Research article

Detection of a divergent Parainfluenza 4 virus in an adult patient with influenza like illness using next-generation sequencing

Authors: Seweryn Bialasiewicz, Jodie McVernon, Terry Nolan, Stephen B Lambert, Guoyan Zhao, David Wang, Michael D Nissen, Theo P Sloots

Published in: BMC Infectious Diseases | Issue 1/2014

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Abstract

Background

Human Parainfluenza viruses are a common cause of both upper and lower respiratory tract infections, particularly in children. Of the four Parainfluenza virus serotypes, Parainfluenza 4 is least well characterised from both the clinical, epidemiological and genetic perspectives.

Methods

Flocked nose or throat swabs from a previous study investigating viral prevalence in community-based adults suffering from influenza like illness were used as the basis for this study. Samples in which no virus was detected using a 16 viral respiratory pathogen real-time PCR panel were barcoded and pyrosequenced using the Roche 454 GS FLX Titanium chemistry. The sequences were analysed using the VirusHunter bioinformatic pipeline. Sanger sequencing was used to complete the detected Parainfluenza 4 coding region.

Results

A variant Parainfluenza 4 subtype b strain (QLD-01) was discovered in an otherwise healthy adult who presented with influenza like illness. Strain QLD-01 shared genomic similarities with both a and b subtypes. The extent of divergence of this genome from the 5 available whole Parainfluenza 4 genomes impacted the predicted binding efficiencies of the majority of published Parainfluenza 4 PCR assays.

Conclusions

These findings further support a possible role for Parainfluenza 4 in the aetiology of adult respiratory disease within the community setting, and highlight the caution needed to be used in designing PCR assays from limited sequence information or in using proprietary commercial PCR assays.
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Metadata
Title
Detection of a divergent Parainfluenza 4 virus in an adult patient with influenza like illness using next-generation sequencing
Authors
Seweryn Bialasiewicz
Jodie McVernon
Terry Nolan
Stephen B Lambert
Guoyan Zhao
David Wang
Michael D Nissen
Theo P Sloots
Publication date
01-12-2014
Publisher
BioMed Central
Published in
BMC Infectious Diseases / Issue 1/2014
Electronic ISSN: 1471-2334
DOI
https://doi.org/10.1186/1471-2334-14-275

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