Assessment of Metagenomic Sequencing and qPCR for Detection of Influenza D Virus in Bovine Respiratory Tract Samples

High throughput sequencing is currently revolutionizing the genomics field and providing new approaches to the detection and characterization of microorganisms. The objective of this study was to assess the detection of influenza D virus (IDV) in bovine respiratory tract samples using two sequencing...

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Main Authors: Maodong Zhang, Yanyun Huang, Dale L. Godson, Champika Fernando, Trevor W. Alexander, Janet E. Hill
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Viruses
Subjects:
Online Access:https://www.mdpi.com/1999-4915/12/8/814
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spelling doaj-c4414ed049154034982f1087b3f869502020-11-25T03:27:43ZengMDPI AGViruses1999-49152020-07-011281481410.3390/v12080814Assessment of Metagenomic Sequencing and qPCR for Detection of Influenza D Virus in Bovine Respiratory Tract SamplesMaodong Zhang0Yanyun Huang1Dale L. Godson2Champika Fernando3Trevor W. Alexander4Janet E. Hill5Department of Veterinary Pathology, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, SK S7N 5B4, CanadaDepartment of Veterinary Pathology, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, SK S7N 5B4, CanadaPrairie Diagnostic Services Inc., Saskatoon, SK S7N5B4, CanadaDepartment of Veterinary Microbiology, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, SK S7N5B4, CanadaAgriculture and Agri-Food Canada, Lethbridge Research and Development Centre, Lethbridge, AB T1J 4B1, CanadaDepartment of Veterinary Microbiology, Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, SK S7N5B4, CanadaHigh throughput sequencing is currently revolutionizing the genomics field and providing new approaches to the detection and characterization of microorganisms. The objective of this study was to assess the detection of influenza D virus (IDV) in bovine respiratory tract samples using two sequencing platforms (MiSeq and Nanopore (GridION)), and species-specific qPCR. An IDV-specific qPCR was performed on 232 samples (116 nasal swabs and 116 tracheal washes) that had been previously subject to virome sequencing using MiSeq. Nanopore sequencing was performed on 19 samples positive for IDV by either MiSeq or qPCR. Nanopore sequence data was analyzed by two bioinformatics methods: What’s In My Pot (WIMP, on the EPI2ME platform), and an in-house developed analysis pipeline. The agreement of IDV detection between qPCR and MiSeq was 82.3%, between qPCR and Nanopore was 57.9% (in-house) and 84.2% (WIMP), and between MiSeq and Nanopore was 89.5% (in-house) and 73.7% (WIMP). IDV was detected by MiSeq in 14 of 17 IDV qPCR-positive samples with Cq (cycle quantification) values below 31, despite multiplexing 50 samples for sequencing. When qPCR was regarded as the gold standard, the sensitivity and specificity of MiSeq sequence detection were 28.3% and 98.9%, respectively. We conclude that both MiSeq and Nanopore sequencing are capable of detecting IDV in clinical specimens with a range of Cq values. Sensitivity may be further improved by optimizing sequence data analysis, improving virus enrichment, or reducing the degree of multiplexing.https://www.mdpi.com/1999-4915/12/8/814Illumina MiSeq sequencinginfluenza D virusnanopore GridION sequencingqPCRdiagnosticsbovine respiratory disease
collection DOAJ
language English
format Article
sources DOAJ
author Maodong Zhang
Yanyun Huang
Dale L. Godson
Champika Fernando
Trevor W. Alexander
Janet E. Hill
spellingShingle Maodong Zhang
Yanyun Huang
Dale L. Godson
Champika Fernando
Trevor W. Alexander
Janet E. Hill
Assessment of Metagenomic Sequencing and qPCR for Detection of Influenza D Virus in Bovine Respiratory Tract Samples
Viruses
Illumina MiSeq sequencing
influenza D virus
nanopore GridION sequencing
qPCR
diagnostics
bovine respiratory disease
author_facet Maodong Zhang
Yanyun Huang
Dale L. Godson
Champika Fernando
Trevor W. Alexander
Janet E. Hill
author_sort Maodong Zhang
title Assessment of Metagenomic Sequencing and qPCR for Detection of Influenza D Virus in Bovine Respiratory Tract Samples
title_short Assessment of Metagenomic Sequencing and qPCR for Detection of Influenza D Virus in Bovine Respiratory Tract Samples
title_full Assessment of Metagenomic Sequencing and qPCR for Detection of Influenza D Virus in Bovine Respiratory Tract Samples
title_fullStr Assessment of Metagenomic Sequencing and qPCR for Detection of Influenza D Virus in Bovine Respiratory Tract Samples
title_full_unstemmed Assessment of Metagenomic Sequencing and qPCR for Detection of Influenza D Virus in Bovine Respiratory Tract Samples
title_sort assessment of metagenomic sequencing and qpcr for detection of influenza d virus in bovine respiratory tract samples
publisher MDPI AG
series Viruses
issn 1999-4915
publishDate 2020-07-01
description High throughput sequencing is currently revolutionizing the genomics field and providing new approaches to the detection and characterization of microorganisms. The objective of this study was to assess the detection of influenza D virus (IDV) in bovine respiratory tract samples using two sequencing platforms (MiSeq and Nanopore (GridION)), and species-specific qPCR. An IDV-specific qPCR was performed on 232 samples (116 nasal swabs and 116 tracheal washes) that had been previously subject to virome sequencing using MiSeq. Nanopore sequencing was performed on 19 samples positive for IDV by either MiSeq or qPCR. Nanopore sequence data was analyzed by two bioinformatics methods: What’s In My Pot (WIMP, on the EPI2ME platform), and an in-house developed analysis pipeline. The agreement of IDV detection between qPCR and MiSeq was 82.3%, between qPCR and Nanopore was 57.9% (in-house) and 84.2% (WIMP), and between MiSeq and Nanopore was 89.5% (in-house) and 73.7% (WIMP). IDV was detected by MiSeq in 14 of 17 IDV qPCR-positive samples with Cq (cycle quantification) values below 31, despite multiplexing 50 samples for sequencing. When qPCR was regarded as the gold standard, the sensitivity and specificity of MiSeq sequence detection were 28.3% and 98.9%, respectively. We conclude that both MiSeq and Nanopore sequencing are capable of detecting IDV in clinical specimens with a range of Cq values. Sensitivity may be further improved by optimizing sequence data analysis, improving virus enrichment, or reducing the degree of multiplexing.
topic Illumina MiSeq sequencing
influenza D virus
nanopore GridION sequencing
qPCR
diagnostics
bovine respiratory disease
url https://www.mdpi.com/1999-4915/12/8/814
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