Bayesian Phylogeography Finds Its Roots Export

@article{citeulike:5841061, abstract = {Author Summary Spreading in time and space, rapidly evolving viruses can accumulate a considerable amount of genetic variation. As a consequence, viral genomes become valuable resources to reconstruct the spatial and temporal processes that are shaping epidemic or endemic dynamics. In molecular epidemiology, spatial inference is often limited to the interpretation of evolutionary histories with respect to the sampling locations of the pathogens. To test hypotheses about the spatial diffusion patterns of viruses, analytical techniques are required that enable us to reconstruct how viruses migrated in the past. Here, we develop a model to infer diffusion processes among discrete locations in timed evolutionary histories in a statistically efficient fashion. Applications to Avian Influenza A H5N1 and Rabies virus in Central and West African dogs demonstrate several advantages of simultaneously inferring spatial and temporal processes from gene sequences.}, author = {Lemey, Philippe and Rambaut, Andrew and Drummond, Alexei J. and Suchard, Marc A.}, citeulike-article-id = {5841061}, citeulike-linkout-0 = {http://dx.doi.org/10.1371/journal.pcbi.1000520}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/19779555}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=19779555}, day = {25}, doi = {10.1371/journal.pcbi.1000520}, issn = {1553-7358}, journal = {PLoS Comput Biol}, keywords = {bayesian, geography, model, phylogenetics, virus}, month = {September}, number = {9}, pages = {e1000520+}, posted-at = {2009-09-25 19:55:42}, priority = {2}, publisher = {Public Library of Science}, title = {Bayesian Phylogeography Finds Its Roots}, url = {http://dx.doi.org/10.1371/journal.pcbi.1000520}, volume = {5}, year = {2009} }

TY - JOUR ID - citeulike:5841061 L3 - citeulike-article-id:5841061 N2 - Author Summary Spreading in time and space, rapidly evolving viruses can accumulate a considerable amount of genetic variation. As a consequence, viral genomes become valuable resources to reconstruct the spatial and temporal processes that are shaping epidemic or endemic dynamics. In molecular epidemiology, spatial inference is often limited to the interpretation of evolutionary histories with respect to the sampling locations of the pathogens. To test hypotheses about the spatial diffusion patterns of viruses, analytical techniques are required that enable us to reconstruct how viruses migrated in the past. Here, we develop a model to infer diffusion processes among discrete locations in timed evolutionary histories in a statistically efficient fashion. Applications to Avian Influenza A H5N1 and Rabies virus in Central and West African dogs demonstrate several advantages of simultaneously inferring spatial and temporal processes from gene sequences. IS - 9 JF - PLoS Comput Biol SN - 1553-7358 TI - Bayesian Phylogeography Finds Its Roots PB - Public Library of Science VL - 5 SP - e1000520 KW - bayesian KW - geography KW - model KW - phylogenetics KW - virus AU - Lemey, Philippe AU - Rambaut, Andrew AU - Drummond, Alexei AU - Suchard, Marc PY - 2009/09/25/ UR - http://dx.doi.org/10.1371/journal.pcbi.1000520 ER -