Serological dataset and R code for: Patterns and processes of pathogen exposure in gray wolves across North America
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 data...
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ftzenodo:oai:zenodo.org:4441165 2024-09-09T19:35:38+00:00 Serological dataset and R code for: Patterns and processes of pathogen exposure in gray wolves across North America Brandell, Ellen E 2021-01-14 https://doi.org/10.5061/dryad.5hqbzkh51 unknown Zenodo https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.5hqbzkh51 oai:zenodo.org:4441165 info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode serology gray wolf wildlife epidemiology generalized linear mixed effects models (GLMMs) Canis lupus Geography info:eu-repo/semantics/other 2021 ftzenodo https://doi.org/10.5061/dryad.5hqbzkh51 2024-07-27T01:02:36Z 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. Probability of exposure was positively correlated with human density, suggesting that dogs and synanthropic animals may be important pathogen reservoirs. Pathogen exposure did not appear to follow a latitudinal gradient, with the exception of N. caninum . Instead, clustered study areas were more similar: wolves from the Great Lakes region had lower odds of exposure to the viruses, but higher odds of exposure to N. caninum and T. gondii the opposite was true for wolves from the central Rocky Mountains. Overall, mechanistic predictors were more informative of seroprevalence trends than latitude and longitude. Individual host characteristics as well as inherent features of ecosystems determined pathogen exposure risk on a large scale. Here we provide the serological dataset and the R code used in Brandell et al. 2021. See the README file for a description of the dataset and generalized linear mixed models (GLMM); see Brandell et al. 2021 main text and Supplementary Information for additional information about ... Other/Unknown Material Canis lupus gray wolf Zenodo |
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serology gray wolf wildlife epidemiology generalized linear mixed effects models (GLMMs) Canis lupus Geography |
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serology gray wolf wildlife epidemiology generalized linear mixed effects models (GLMMs) Canis lupus Geography Brandell, Ellen E Serological dataset and R code for: Patterns and processes of pathogen exposure in gray wolves across North America |
topic_facet |
serology gray wolf wildlife epidemiology generalized linear mixed effects models (GLMMs) Canis lupus Geography |
description |
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. Probability of exposure was positively correlated with human density, suggesting that dogs and synanthropic animals may be important pathogen reservoirs. Pathogen exposure did not appear to follow a latitudinal gradient, with the exception of N. caninum . Instead, clustered study areas were more similar: wolves from the Great Lakes region had lower odds of exposure to the viruses, but higher odds of exposure to N. caninum and T. gondii the opposite was true for wolves from the central Rocky Mountains. Overall, mechanistic predictors were more informative of seroprevalence trends than latitude and longitude. Individual host characteristics as well as inherent features of ecosystems determined pathogen exposure risk on a large scale. Here we provide the serological dataset and the R code used in Brandell et al. 2021. See the README file for a description of the dataset and generalized linear mixed models (GLMM); see Brandell et al. 2021 main text and Supplementary Information for additional information about ... |
format |
Other/Unknown Material |
author |
Brandell, Ellen E |
author_facet |
Brandell, Ellen E |
author_sort |
Brandell, Ellen E |
title |
Serological dataset and R code for: Patterns and processes of pathogen exposure in gray wolves across North America |
title_short |
Serological dataset and R code for: Patterns and processes of pathogen exposure in gray wolves across North America |
title_full |
Serological dataset and R code for: Patterns and processes of pathogen exposure in gray wolves across North America |
title_fullStr |
Serological dataset and R code for: Patterns and processes of pathogen exposure in gray wolves across North America |
title_full_unstemmed |
Serological dataset and R code for: Patterns and processes of pathogen exposure in gray wolves across North America |
title_sort |
serological dataset and r code for: patterns and processes of pathogen exposure in gray wolves across north america |
publisher |
Zenodo |
publishDate |
2021 |
url |
https://doi.org/10.5061/dryad.5hqbzkh51 |
genre |
Canis lupus gray wolf |
genre_facet |
Canis lupus gray wolf |
op_relation |
https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.5hqbzkh51 oai:zenodo.org:4441165 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode |
op_doi |
https://doi.org/10.5061/dryad.5hqbzkh51 |
_version_ |
1809904991228395520 |