Document Detail


Combining direct and indirect genetic methods to estimate dispersal for informing wildlife disease management decisions.
MedLine Citation:
PMID:  19140978     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Epidemiological models are useful tools for management to predict and control wildlife disease outbreaks. Dispersal behaviours of the vector are critical in determining patterns of disease spread, and key variables in epidemiological models, yet they are difficult to measure. Raccoon rabies is enzootic over the eastern seaboard of North America and management actions to control its spread are costly. Understanding dispersal behaviours of raccoons can contribute to refining management protocols to reduce economic impacts. Here, estimates of dispersal were obtained through parentage and spatial genetic analyses of raccoons in two areas at the front of the raccoon rabies epizootic in Ontario; Niagara (N = 296) and St Lawrence (N = 593). Parentage analysis indicated the dispersal distance distribution is highly positively skewed with 85% of raccoons, both male and female, moving < 3 km. The tail of this distribution indicated a small proportion (< 4%) moves more than 20 km. Analysis of spatial genetic structure provided a similar assessment as the spatial genetic correlation coefficient dropped sharply after 1 km. Directionality of dispersal would have important implications for control actions; however, evidence of directional bias was not found. Separating the data into age and sex classes the spatial genetic analyses detected female philopatry. Dispersal distances differed significantly between juveniles and adults, while juveniles in the Niagara region were significantly more related to each other than adults were to each other. Factors that may contribute to these differences include kin association, and spring dispersal. Changes to the timing and area covered by rabies control operations in Ontario are indicated based on these dispersal data.
Authors:
C I Cullingham; B A Pond; C J Kyle; E E Rees; R C Rosatte; B N White
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Molecular ecology     Volume:  17     ISSN:  1365-294X     ISO Abbreviation:  Mol. Ecol.     Publication Date:  2008 Nov 
Date Detail:
Created Date:  2009-01-14     Completed Date:  2009-01-27     Revised Date:  2009-11-19    
Medline Journal Info:
Nlm Unique ID:  9214478     Medline TA:  Mol Ecol     Country:  England    
Other Details:
Languages:  eng     Pagination:  4874-86     Citation Subset:  IM    
Affiliation:
Watershed Ecosystem Graduate Program, Trent University, Peterborough, ON, Canada. cathy.cullingham@ualberta.ca
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MeSH Terms
Descriptor/Qualifier:
Alleles
Animals
Animals, Wild / genetics,  virology
Behavior, Animal
Disease Outbreaks / prevention & control,  veterinary*
Ecosystem
Female
Genetics, Population*
Genotype
Geography
Locomotion
Male
Microsatellite Repeats
Molecular Epidemiology
Ontario / epidemiology
Rabies / epidemiology,  prevention & control,  veterinary*
Raccoons / genetics*,  virology

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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