Host shift and cospeciation rate estimation from co-phylogenies.

Détails

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Etat: Serval
Version: Final published version
ID Serval
serval:BIB_23A62A847FC1
Type
Article: article d'un périodique ou d'un magazine.
Sous-type
Lettre (letter): communication adressée à l'éditeur.
Collection
Publications
Titre
Host shift and cospeciation rate estimation from co-phylogenies.
Périodique
Ecology letters
Auteur(s)
Alcala N., Jenkins T., Christe P., Vuilleumier S.
ISSN
1461-0248 (Electronic)
ISSN-L
1461-023X
Statut éditorial
Publié
Date de publication
2017
Peer-reviewed
Oui
Volume
20
Numéro
8
Pages
1014-1024
Langue
anglais
Résumé
Host shifts can cause novel infectious diseases, and is a key process in diversification. Disentangling the effects of host shift vs. those of cospeciation is non-trivial as both can result in phylogenic 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 haemosporidian parasites and have played a minor role in the gopher-chewing lice system. Our method is promising for predicting the rate of potential host shifts and thus the emergence of novel infectious diseases.

Mots-clé
Approximate Bayesian Computation, birds, co-evolution, cospeciation, diversification, emerging diseases, host switch, malaria, network analysis, parasite., Approximate Bayesian Computation, birds, co-evolution, cospeciation, diversification, emerging diseases, host switch, malaria, network analysis, parasite
Pubmed
Web of science
Création de la notice
03/07/2017 14:27
Dernière modification de la notice
03/03/2018 14:55
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