<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Nicolas Alcala</style></author><author><style face="normal" font="default" size="100%">Tania Jenkins</style></author><author><style face="normal" font="default" size="100%">Philippe Christe</style></author><author><style face="normal" font="default" size="100%">Séverine Vuilleumier</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">Tim Coulson</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Host shift and cospeciation rate estimation from co-phylogenies</style></title><secondary-title><style face="normal" font="default" size="100%">Ecology Letters</style></secondary-title><short-title><style face="normal" font="default" size="100%">Ecol Lett</style></short-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Approximate Bayesian Computation</style></keyword><keyword><style  face="normal" font="default" size="100%">birds</style></keyword><keyword><style  face="normal" font="default" size="100%">co-evolution</style></keyword><keyword><style  face="normal" font="default" size="100%">cospeciation</style></keyword><keyword><style  face="normal" font="default" size="100%">Diversification</style></keyword><keyword><style  face="normal" font="default" size="100%">emerging diseases</style></keyword><keyword><style  face="normal" font="default" size="100%">host switch</style></keyword><keyword><style  face="normal" font="default" size="100%">malaria</style></keyword><keyword><style  face="normal" font="default" size="100%">parasite.</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2017</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan-08-2017</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://doi.wiley.com/10.1111/ele.2017.20.issue-8</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">20</style></volume><pages><style face="normal" font="default" size="100%">1014 - 1024</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Host shifts can cause novel infectious diseases, and is a key process in diversification. Disentan- gling the effects of host shift vs. those of cospeciation is non-trivial as both can result in phylo- genic congruence. We develop a new framework based on network analysis and Approximate Bayesian Computation to quantify host shift and cospeciation rates in host-parasite systems. Our method enables estimation of the expected time to the next host shift or cospeciation event. We then apply it to avian haemosporidian parasite systems and to the pocket gophers-chewing lice system, and demonstrate that both host shift and cospeciation can be reliably estimated by our method. We confirm that host shifts have shaped the evolutionary history of avian haemosporid- ian parasites and have played a minor role in the gopher&amp;ndash;chewing lice system. Our method is promising for predicting the rate of potential host shifts and thus the emergence of novel infec- tious diseases.&lt;/p&gt;
</style></abstract><issue><style face="normal" font="default" size="100%">8</style></issue></record></records></xml>