Distribution,diversity and drivers of blood-borne parasite co-infections in Alaskan bird populations |
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Authors: | Khouanchy S. Oakgrove Ryan J. Harrigan Claire Loiseau Sue Guers Bruce Seppi Ravinder N.M. Sehgal |
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Affiliation: | 1. Department of Biology, San Francisco State University, 1600 Holloway Avenue, San Francisco, CA 94132, USA;2. Center for Tropical Research, Institute of the Environment and Sustainability, University of California, Los Angeles, CA 90095, USA;3. Alaska Songbird Institute, PO Box 82035, Fairbanks, AK 99708, USA;4. Bureau of Land Management, Anchorage Field Office, 4700 BLM Road, Anchorage, AK 99507, USA |
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Abstract: | Avian species are commonly infected by multiple parasites, however few studies have investigated the environmental determinants of the prevalence of co-infection over a large scale. Here we believe that we report the first, detailed ecological study of the prevalence, diversity and co-infections of four avian blood-borne parasite genera: Plasmodium spp., Haemoproteus spp., Leucocytozoon spp. and Trypanosoma spp. We collected blood samples from 47 resident and migratory bird species across a latitudinal gradient in Alaska. From the patterns observed at collection sites, random forest models were used to provide evidence of associations between bioclimatic conditions and the prevalence of parasite co-infection distribution. Molecular screening revealed a higher prevalence of haematozoa (53%) in Alaska than previously reported. Leucocytozoons had the highest diversity, prevalence and prevalence of co-infection. Leucocytozoon prevalence (35%) positively correlated with Trypanosoma prevalence (11%), negatively correlated with Haemoproteus prevalence (14%) and had no correlation with Plasmodium prevalence (7%). We found temperature, precipitation and tree cover to be the primary environmental drivers that show a relationship with the prevalence of co-infection. The results provide insight into the impacts of bioclimatic drivers on parasite ecology and intra-host interactions, and have implications for the study of infectious diseases in rapidly changing environments. |
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Keywords: | Alaska Arctic Haemoproteus Leucocytozoon Plasmodium Trypanosoma Co-infections Random forest models |
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