Serological dataset and R code for: Patterns and processes of pathogen exposure in gray wolves across North America ...

• Main Author: Brandell, Ellen E
• Format: Dataset
• Language: English
• Published: Dryad 2021
• Subjects: Serology; gray wolf; Epidemiology; wildlife epidemiology; generalized linear mixed effects models GLMMs; Canis lupus; Biogeography; Geography
• Online Access: https://dx.doi.org/10.5061/dryad.5hqbzkh51; https://datadryad.org/stash/dataset/doi:10.5061/dryad.5hqbzkh51

The presence of many pathogens varies in a predictable manner with latitude, with infections decreasing from the equator towards the poles. We investigated the geographic trends of pathogens infecting a widely distributed carnivore: the gray wolf (Canis lupus). We compiled a large serological dataset of nearly 2000 wolves from 17 study areas, spanning 80º longitude and 50º latitude. Generalized linear mixed models were constructed to predict the probability of seropositivity of four important viruses: canine adenovirus, herpesvirus, parvovirus, and distemper virus – and two parasites: Neospora caninum and Toxoplasma gondii. Canine adenovirus and herpesvirus were the most widely distributed pathogens, whereas N. caninum was relatively uncommon. Canine parvovirus and distemper had high annual variation, with western populations experiencing more frequent outbreaks than eastern populations. Seroprevalence of all infections increased as wolves aged, and denser wolf populations had a greater risk of exposure. ...