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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2017
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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. |
format | Online Article Text |
id | pubmed-5398231 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
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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