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Metagenomics and the molecular identification of novel viruses

There have been rapid recent developments in establishing methods for identifying and characterising viruses associated with animal and human diseases. These methodologies, commonly based on hybridisation or PCR techniques, are combined with advanced sequencing techniques termed ‘next generation seq...

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Detalles Bibliográficos
Autores principales: Bexfield, Nicholas, Kellam, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7110547/
https://www.ncbi.nlm.nih.gov/pubmed/21111643
http://dx.doi.org/10.1016/j.tvjl.2010.10.014
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author Bexfield, Nicholas
Kellam, Paul
author_facet Bexfield, Nicholas
Kellam, Paul
author_sort Bexfield, Nicholas
collection PubMed
description There have been rapid recent developments in establishing methods for identifying and characterising viruses associated with animal and human diseases. These methodologies, commonly based on hybridisation or PCR techniques, are combined with advanced sequencing techniques termed ‘next generation sequencing’. Allied advances in data analysis, including the use of computational transcriptome subtraction, have also impacted the field of viral pathogen discovery. This review details these molecular detection techniques, discusses their application in viral discovery, and provides an overview of some of the novel viruses discovered. The problems encountered in attributing disease causality to a newly identified virus are also considered.
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spelling pubmed-71105472020-04-02 Metagenomics and the molecular identification of novel viruses Bexfield, Nicholas Kellam, Paul Vet J Article There have been rapid recent developments in establishing methods for identifying and characterising viruses associated with animal and human diseases. These methodologies, commonly based on hybridisation or PCR techniques, are combined with advanced sequencing techniques termed ‘next generation sequencing’. Allied advances in data analysis, including the use of computational transcriptome subtraction, have also impacted the field of viral pathogen discovery. This review details these molecular detection techniques, discusses their application in viral discovery, and provides an overview of some of the novel viruses discovered. The problems encountered in attributing disease causality to a newly identified virus are also considered. Elsevier Ltd. 2011-11 2010-12-15 /pmc/articles/PMC7110547/ /pubmed/21111643 http://dx.doi.org/10.1016/j.tvjl.2010.10.014 Text en Copyright © 2010 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Bexfield, Nicholas
Kellam, Paul
Metagenomics and the molecular identification of novel viruses
title Metagenomics and the molecular identification of novel viruses
title_full Metagenomics and the molecular identification of novel viruses
title_fullStr Metagenomics and the molecular identification of novel viruses
title_full_unstemmed Metagenomics and the molecular identification of novel viruses
title_short Metagenomics and the molecular identification of novel viruses
title_sort metagenomics and the molecular identification of novel viruses
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7110547/
https://www.ncbi.nlm.nih.gov/pubmed/21111643
http://dx.doi.org/10.1016/j.tvjl.2010.10.014
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