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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....
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2009
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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. |
format | Online Article Text |
id | pubmed-7097015 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT pybusoliverg evolutionaryanalysisofthedynamicsofviralinfectiousdisease AT rambautandrew evolutionaryanalysisofthedynamicsofviralinfectiousdisease |