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Analysis Comparison for Rapid Identification of Pathogenic Virus from Infected Tissue Samples

When examining infectious samples, rapid identification of the pathogenic agent is required for diagnosis and treatment or for investigating the cause of death. In our previous study, we applied exhaustive amplification using non-specific primers (the rapid determination system of viral genome seque...

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Autores principales: Hosokawa-Muto, Junji, Sassa-O’Brien, Yukiko, Fujinami, Yoshihito, Nakahara, Hiroaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774399/
https://www.ncbi.nlm.nih.gov/pubmed/35054363
http://dx.doi.org/10.3390/diagnostics12010196
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author Hosokawa-Muto, Junji
Sassa-O’Brien, Yukiko
Fujinami, Yoshihito
Nakahara, Hiroaki
author_facet Hosokawa-Muto, Junji
Sassa-O’Brien, Yukiko
Fujinami, Yoshihito
Nakahara, Hiroaki
author_sort Hosokawa-Muto, Junji
collection PubMed
description When examining infectious samples, rapid identification of the pathogenic agent is required for diagnosis and treatment or for investigating the cause of death. In our previous study, we applied exhaustive amplification using non-specific primers (the rapid determination system of viral genome sequences, the RDV method) to identify the causative virus via swab samples from a cat with a suspected viral infection. The purpose of the current study is to investigate suitable methods for the rapid identification of causative pathogens from infected tissue samples. First, the influenza virus was inoculated into mice to prepare infected tissue samples. RNA extracted from the mouse lung homogenates was transcribed into cDNA and then analyzed using the RDV method and next-generation sequencing, using MiSeq and MinION sequencers. The RDV method was unable to detect the influenza virus in the infected tissue samples. However, influenza virus reads were detected using next-generation sequencing. Comparing MiSeq and MinION, the time required for library and sequence preparation was shorter for MinION sequencing than for MiSeq sequencing. We conclude that when a causative virus needs to be rapidly identified from an infectious sample, MinION sequencing is currently the method of choice.
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spelling pubmed-87743992022-01-21 Analysis Comparison for Rapid Identification of Pathogenic Virus from Infected Tissue Samples Hosokawa-Muto, Junji Sassa-O’Brien, Yukiko Fujinami, Yoshihito Nakahara, Hiroaki Diagnostics (Basel) Article When examining infectious samples, rapid identification of the pathogenic agent is required for diagnosis and treatment or for investigating the cause of death. In our previous study, we applied exhaustive amplification using non-specific primers (the rapid determination system of viral genome sequences, the RDV method) to identify the causative virus via swab samples from a cat with a suspected viral infection. The purpose of the current study is to investigate suitable methods for the rapid identification of causative pathogens from infected tissue samples. First, the influenza virus was inoculated into mice to prepare infected tissue samples. RNA extracted from the mouse lung homogenates was transcribed into cDNA and then analyzed using the RDV method and next-generation sequencing, using MiSeq and MinION sequencers. The RDV method was unable to detect the influenza virus in the infected tissue samples. However, influenza virus reads were detected using next-generation sequencing. Comparing MiSeq and MinION, the time required for library and sequence preparation was shorter for MinION sequencing than for MiSeq sequencing. We conclude that when a causative virus needs to be rapidly identified from an infectious sample, MinION sequencing is currently the method of choice. MDPI 2022-01-14 /pmc/articles/PMC8774399/ /pubmed/35054363 http://dx.doi.org/10.3390/diagnostics12010196 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hosokawa-Muto, Junji
Sassa-O’Brien, Yukiko
Fujinami, Yoshihito
Nakahara, Hiroaki
Analysis Comparison for Rapid Identification of Pathogenic Virus from Infected Tissue Samples
title Analysis Comparison for Rapid Identification of Pathogenic Virus from Infected Tissue Samples
title_full Analysis Comparison for Rapid Identification of Pathogenic Virus from Infected Tissue Samples
title_fullStr Analysis Comparison for Rapid Identification of Pathogenic Virus from Infected Tissue Samples
title_full_unstemmed Analysis Comparison for Rapid Identification of Pathogenic Virus from Infected Tissue Samples
title_short Analysis Comparison for Rapid Identification of Pathogenic Virus from Infected Tissue Samples
title_sort analysis comparison for rapid identification of pathogenic virus from infected tissue samples
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774399/
https://www.ncbi.nlm.nih.gov/pubmed/35054363
http://dx.doi.org/10.3390/diagnostics12010196
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