Deeply conserved susceptibility in a multi-host, multi-parasite system.

Haemoproteus Leucocytozoon Plasmodium Andes Apicomplexa Haemosporida Peru avian malaria comparative methods phylogenetic signal

Journal

Ecology letters
ISSN: 1461-0248
Titre abrégé: Ecol Lett
Pays: England
ID NLM: 101121949

Informations de publication

Date de publication:
Jun 2019
Historique:
received: 26 09 2018
revised: 24 01 2019
accepted: 20 02 2019
pubmed: 27 3 2019
medline: 30 4 2019
entrez: 27 3 2019
Statut: ppublish

Résumé

Variation in susceptibility is ubiquitous in multi-host, multi-parasite assemblages, and can have profound implications for ecology and evolution in these systems. The extent to which susceptibility to parasites is phylogenetically conserved among hosts can be revealed by analysing diverse regional communities. We screened for haemosporidian parasites in 3983 birds representing 40 families and 523 species, spanning ~ 4500 m elevation in the tropical Andes. To quantify the influence of host phylogeny on infection status, we applied Bayesian phylogenetic multilevel models that included a suite of environmental, spatial, temporal, life history and ecological predictors. We found evidence of deeply conserved susceptibility across the avian tree; host phylogeny explained substantial variation in infection status, and results were robust to phylogenetic uncertainty. Our study suggests that susceptibility is governed, in part, by conserved, latent aspects of anti-parasite defence. This demonstrates the importance of deep phylogeny for understanding present-day ecological interactions.

Identifiants

pubmed: 30912262
doi: 10.1111/ele.13263
doi:

Types de publication

Letter

Langues

eng

Sous-ensembles de citation

IM

Pagination

987-998

Subventions

Organisme : NSF
ID : NSF DEB-1146491
Organisme : NSF
ID : NSF DEB-1503804
Organisme : NSF
ID : NSF PRFB-1611710
Organisme : CETI
ID : NCRR-NIH P20RR018754
Organisme : Davee Foundation
Organisme : Faulk Medical Research Trust
Organisme : Pritzker DNA Laboratory

Informations de copyright

© 2019 John Wiley & Sons Ltd/CNRS.

Auteurs

Lisa N Barrow (LN)

Museum of Southwestern Biology, University of New Mexico, Albuquerque, NM, 87131, USA.
Department of Biology, University of New Mexico, Albuquerque, NM, 87131, USA.

Sabrina M McNew (SM)

Museum of Southwestern Biology, University of New Mexico, Albuquerque, NM, 87131, USA.
Department of Biology, University of New Mexico, Albuquerque, NM, 87131, USA.
Cornell Lab of Ornithology, Cornell University, Ithaca, NY, USA.

Nora Mitchell (N)

Department of Biology, University of New Mexico, Albuquerque, NM, 87131, USA.

Spencer C Galen (SC)

Museum of Southwestern Biology, University of New Mexico, Albuquerque, NM, 87131, USA.
Sackler Institute for Comparative Genomics & Richard Gilder Graduate School, American Museum of Natural History, New York, NY, 10024, USA.
Department of Ornithology, Academy of Natural Sciences of Drexel University, Philadelphia, PA, 19103, USA.
Department of Biodiversity, Earth, and Environmental Sciences, Drexel University, Philadelphia, PA, 19103, USA.

Holly L Lutz (HL)

Cornell Lab of Ornithology, Cornell University, Ithaca, NY, USA.
Integrative Research Center, The Field Museum, Chicago, IL, 60605, USA.
Department of Surgery, University of Chicago, Chicago, IL, 60637, USA.

Heather Skeen (H)

Integrative Research Center, The Field Museum, Chicago, IL, 60605, USA.
Committee on Evolutionary Biology, University of Chicago, Chicago, IL, 60637, USA.

Thomas Valqui (T)

Centro de Ornitología y Biodiversidad (CORBIDI), Lima, Perú.

Jason D Weckstein (JD)

Department of Ornithology, Academy of Natural Sciences of Drexel University, Philadelphia, PA, 19103, USA.
Department of Biodiversity, Earth, and Environmental Sciences, Drexel University, Philadelphia, PA, 19103, USA.
Integrative Research Center, The Field Museum, Chicago, IL, 60605, USA.

Christopher C Witt (CC)

Museum of Southwestern Biology, University of New Mexico, Albuquerque, NM, 87131, USA.
Department of Biology, University of New Mexico, Albuquerque, NM, 87131, USA.

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Classifications MeSH