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Evolutionary analysis of the dynamics of viral infectious disease

Many organisms that cause infectious diseases, particularly RNA viruses, mutate so rapidly that their evolutionary and ecological behaviours are inextricably linked. Consequently, aspects of the transmission and epidemiology of these pathogens are imprinted on the genetic diversity of their genomes....

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Detalles Bibliográficos
Autores principales: Pybus, Oliver G., Rambaut, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7097015/
https://www.ncbi.nlm.nih.gov/pubmed/19564871
http://dx.doi.org/10.1038/nrg2583
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author Pybus, Oliver G.
Rambaut, Andrew
author_facet Pybus, Oliver G.
Rambaut, Andrew
author_sort Pybus, Oliver G.
collection PubMed
description Many organisms that cause infectious diseases, particularly RNA viruses, mutate so rapidly that their evolutionary and ecological behaviours are inextricably linked. Consequently, aspects of the transmission and epidemiology of these pathogens are imprinted on the genetic diversity of their genomes. Large-scale empirical analyses of the evolutionary dynamics of important pathogens are now feasible owing to the increasing availability of pathogen sequence data and the development of new computational and statistical methods of analysis. In this Review, we outline the questions that can be answered using viral evolutionary analysis across a wide range of biological scales.
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spelling pubmed-70970152020-03-26 Evolutionary analysis of the dynamics of viral infectious disease Pybus, Oliver G. Rambaut, Andrew Nat Rev Genet Article Many organisms that cause infectious diseases, particularly RNA viruses, mutate so rapidly that their evolutionary and ecological behaviours are inextricably linked. Consequently, aspects of the transmission and epidemiology of these pathogens are imprinted on the genetic diversity of their genomes. Large-scale empirical analyses of the evolutionary dynamics of important pathogens are now feasible owing to the increasing availability of pathogen sequence data and the development of new computational and statistical methods of analysis. In this Review, we outline the questions that can be answered using viral evolutionary analysis across a wide range of biological scales. Nature Publishing Group UK 2009 /pmc/articles/PMC7097015/ /pubmed/19564871 http://dx.doi.org/10.1038/nrg2583 Text en © Nature Publishing Group 2009 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Pybus, Oliver G.
Rambaut, Andrew
Evolutionary analysis of the dynamics of viral infectious disease
title Evolutionary analysis of the dynamics of viral infectious disease
title_full Evolutionary analysis of the dynamics of viral infectious disease
title_fullStr Evolutionary analysis of the dynamics of viral infectious disease
title_full_unstemmed Evolutionary analysis of the dynamics of viral infectious disease
title_short Evolutionary analysis of the dynamics of viral infectious disease
title_sort evolutionary analysis of the dynamics of viral infectious disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7097015/
https://www.ncbi.nlm.nih.gov/pubmed/19564871
http://dx.doi.org/10.1038/nrg2583
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