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.
%0 Journal Article
%1 pybus:2009
%A Pybus, Oliver G.
%A Rambaut, Andrew
%D 2009
%I Nature Publishing Group
%J Nature reviews. Genetics
%K 2009 evolution immunology infections pybus rambaut
%N 8
%P 540--550
%R 10.1038/nrg2583
%T Evolutionary analysis of the dynamics of viral infectious disease.
%U http://dx.doi.org/10.1038/nrg2583
%V 10
%X 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.
@article{pybus:2009,
abstract = {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.},
added-at = {2009-10-20T10:52:57.000+0200},
author = {Pybus, Oliver G. and Rambaut, Andrew},
biburl = {https://www.bibsonomy.org/bibtex/295db97368123510d87176f6a44c84cf9/vittorio.loreto},
citeulike-article-id = {5201786},
citeulike-linkout-0 = {http://dx.doi.org/10.1038/nrg2583},
citeulike-linkout-1 = {http://dx.doi.org/10.1038/nrg2583},
citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/19564871},
citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=19564871},
doi = {10.1038/nrg2583},
interhash = {955b738e73206e8e3214c3b3257c7b4e},
intrahash = {95db97368123510d87176f6a44c84cf9},
issn = {1471-0064},
journal = {Nature reviews. Genetics},
keywords = {2009 evolution immunology infections pybus rambaut},
month = {August},
number = 8,
pages = {540--550},
posted-at = {2009-07-29 13:39:02},
priority = {2},
publisher = {Nature Publishing Group},
timestamp = {2009-10-20T10:52:57.000+0200},
title = {Evolutionary analysis of the dynamics of viral infectious disease.},
url = {http://dx.doi.org/10.1038/nrg2583},
volume = 10,
year = 2009
}