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Modelling the dispersal of the two main hosts of the raccoon rabies variant in heterogeneous environments with landscape genetics

Predicting the geographic spread of wildlife epidemics requires knowledge about the movement patterns of disease hosts or vectors. The field of landscape genetics provides valuable approaches to study dispersal indirectly, which in turn may be used to understand patterns of disease spread. Here, we...

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Autores principales: Rioux Paquette, Sébastien, Talbot, Benoit, Garant, Dany, Mainguy, Julien, Pelletier, Fanie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BlackWell Publishing Ltd 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4227855/
https://www.ncbi.nlm.nih.gov/pubmed/25469156
http://dx.doi.org/10.1111/eva.12161
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author Rioux Paquette, Sébastien
Talbot, Benoit
Garant, Dany
Mainguy, Julien
Pelletier, Fanie
author_facet Rioux Paquette, Sébastien
Talbot, Benoit
Garant, Dany
Mainguy, Julien
Pelletier, Fanie
author_sort Rioux Paquette, Sébastien
collection PubMed
description Predicting the geographic spread of wildlife epidemics requires knowledge about the movement patterns of disease hosts or vectors. The field of landscape genetics provides valuable approaches to study dispersal indirectly, which in turn may be used to understand patterns of disease spread. Here, we applied landscape genetic analyses and spatially explicit models to identify the potential path of raccoon rabies spread in a mesocarnivore community. We used relatedness estimates derived from microsatellite genotypes of raccoons and striped skunks to investigate their dispersal patterns in a heterogeneous landscape composed predominantly of agricultural, forested and residential areas. Samples were collected in an area covering 22 000 km(2) in southern Québec, where the raccoon rabies variant (RRV) was first detected in 2006. Multiple regressions on distance matrices revealed that genetic distance among male raccoons was strictly a function of geographic distance, while dispersal in female raccoons was significantly reduced by the presence of agricultural fields. In skunks, our results suggested that dispersal is increased in edge habitats between fields and forest fragments in both males and females. Resistance modelling allowed us to identify likely dispersal corridors used by these two rabies hosts, which may prove especially helpful for surveillance and control (e.g. oral vaccination) activities.
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spelling pubmed-42278552014-12-02 Modelling the dispersal of the two main hosts of the raccoon rabies variant in heterogeneous environments with landscape genetics Rioux Paquette, Sébastien Talbot, Benoit Garant, Dany Mainguy, Julien Pelletier, Fanie Evol Appl Original Articles Predicting the geographic spread of wildlife epidemics requires knowledge about the movement patterns of disease hosts or vectors. The field of landscape genetics provides valuable approaches to study dispersal indirectly, which in turn may be used to understand patterns of disease spread. Here, we applied landscape genetic analyses and spatially explicit models to identify the potential path of raccoon rabies spread in a mesocarnivore community. We used relatedness estimates derived from microsatellite genotypes of raccoons and striped skunks to investigate their dispersal patterns in a heterogeneous landscape composed predominantly of agricultural, forested and residential areas. Samples were collected in an area covering 22 000 km(2) in southern Québec, where the raccoon rabies variant (RRV) was first detected in 2006. Multiple regressions on distance matrices revealed that genetic distance among male raccoons was strictly a function of geographic distance, while dispersal in female raccoons was significantly reduced by the presence of agricultural fields. In skunks, our results suggested that dispersal is increased in edge habitats between fields and forest fragments in both males and females. Resistance modelling allowed us to identify likely dispersal corridors used by these two rabies hosts, which may prove especially helpful for surveillance and control (e.g. oral vaccination) activities. BlackWell Publishing Ltd 2014-08 2014-05-07 /pmc/articles/PMC4227855/ /pubmed/25469156 http://dx.doi.org/10.1111/eva.12161 Text en © 2014 John Wiley & Sons Ltd http://creativecommons.org/licenses/by/3.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Rioux Paquette, Sébastien
Talbot, Benoit
Garant, Dany
Mainguy, Julien
Pelletier, Fanie
Modelling the dispersal of the two main hosts of the raccoon rabies variant in heterogeneous environments with landscape genetics
title Modelling the dispersal of the two main hosts of the raccoon rabies variant in heterogeneous environments with landscape genetics
title_full Modelling the dispersal of the two main hosts of the raccoon rabies variant in heterogeneous environments with landscape genetics
title_fullStr Modelling the dispersal of the two main hosts of the raccoon rabies variant in heterogeneous environments with landscape genetics
title_full_unstemmed Modelling the dispersal of the two main hosts of the raccoon rabies variant in heterogeneous environments with landscape genetics
title_short Modelling the dispersal of the two main hosts of the raccoon rabies variant in heterogeneous environments with landscape genetics
title_sort modelling the dispersal of the two main hosts of the raccoon rabies variant in heterogeneous environments with landscape genetics
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4227855/
https://www.ncbi.nlm.nih.gov/pubmed/25469156
http://dx.doi.org/10.1111/eva.12161
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