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A network perspective on the virus world

Viral evolution is characterized by high rates of horizontal gene transfer and fast sequence divergence. Furthermore, there are no universal genes shared by all viruses. As a result, distant relationships among viruses are better represented by a network than by a tree. Here we discuss 3 network rep...

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Detalles Bibliográficos
Autores principales: Iranzo, Jaime, Krupovic, Mart, Koonin, Eugene V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5398231/
https://www.ncbi.nlm.nih.gov/pubmed/28451057
http://dx.doi.org/10.1080/19420889.2017.1296614
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author Iranzo, Jaime
Krupovic, Mart
Koonin, Eugene V.
author_facet Iranzo, Jaime
Krupovic, Mart
Koonin, Eugene V.
author_sort Iranzo, Jaime
collection PubMed
description Viral evolution is characterized by high rates of horizontal gene transfer and fast sequence divergence. Furthermore, there are no universal genes shared by all viruses. As a result, distant relationships among viruses are better represented by a network than by a tree. Here we discuss 3 network representations of the virus world with decreasing levels of complexity, from a multilayer network that integrates sequence conservation and patterns of gene sharing to a classic genome similarity network. As new tools for network analysis are developed, we expect that novel insights into virus evolution will result from the study of more complex representations of the virus world.
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spelling pubmed-53982312017-04-27 A network perspective on the virus world Iranzo, Jaime Krupovic, Mart Koonin, Eugene V. Commun Integr Biol Short Communication Viral evolution is characterized by high rates of horizontal gene transfer and fast sequence divergence. Furthermore, there are no universal genes shared by all viruses. As a result, distant relationships among viruses are better represented by a network than by a tree. Here we discuss 3 network representations of the virus world with decreasing levels of complexity, from a multilayer network that integrates sequence conservation and patterns of gene sharing to a classic genome similarity network. As new tools for network analysis are developed, we expect that novel insights into virus evolution will result from the study of more complex representations of the virus world. Taylor & Francis 2017-02-23 /pmc/articles/PMC5398231/ /pubmed/28451057 http://dx.doi.org/10.1080/19420889.2017.1296614 Text en The article not subject to US copyright law http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
spellingShingle Short Communication
Iranzo, Jaime
Krupovic, Mart
Koonin, Eugene V.
A network perspective on the virus world
title A network perspective on the virus world
title_full A network perspective on the virus world
title_fullStr A network perspective on the virus world
title_full_unstemmed A network perspective on the virus world
title_short A network perspective on the virus world
title_sort network perspective on the virus world
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5398231/
https://www.ncbi.nlm.nih.gov/pubmed/28451057
http://dx.doi.org/10.1080/19420889.2017.1296614
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