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Parasite Prevalence Corresponds to Host Life History in a Diverse Assemblage of Afrotropical Birds and Haemosporidian Parasites
Journal article   Open access   Peer reviewed

Parasite Prevalence Corresponds to Host Life History in a Diverse Assemblage of Afrotropical Birds and Haemosporidian Parasites

Holly L. Lutz, Wesley M. Hochachka, Joshua I. Engel, Jeffrey A. Bell, Vasyl V. Tkach, John M. Bates, Shannon J. Hackett and Jason D. Weckstein
PloS one, v 10(4), pp e0121254-e0121254
08 Apr 2015
PMID: 25853491
url
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0121254&type=printableView
Published, Version of Record (VoR) Open
url
https://doi.org/10.1371/journal.pone.0121254View
Published, Version of Record (VoR) Open

Abstract

Multidisciplinary Sciences Science & Technology Science & Technology - Other Topics
Avian host life history traits have been hypothesized to predict rates of infection by haemosporidian parasites. Using molecular techniques, we tested this hypothesis for parasites from three haemosporidian genera (Plasmodium, Haemoproteus, and Leucocytozoon) collected from a diverse sampling of birds in northern Malawi. We found that host life history traits were significantly associated with parasitism rates by all three parasite genera. Nest type and nest location predicted infection probability for all three parasite genera, whereas flocking behavior is an important predictor of Plasmodium and Haemoproteus infection and habitat is an important predictor of Leucocytozoon infection. Parasite prevalence was 79.1% across all individuals sampled, higher than that reported for comparable studies from any other region of the world. Parasite diversity was also exceptionally high, with 248 parasite cytochrome b lineages identified from 152 host species. A large proportion of Plasmodium, Haemoproteus, and Leucocytozoon parasite DNA sequences identified in this study represent new, previously undocumented lineages (n = 201; 81% of total identified) based on BLAST queries against the avian malaria database, MalAvi.

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Collaboration types
Domestic collaboration
Web of Science research areas
Ecology
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