Chronic Wasting Disease Research at the USGS-Wisconsin Cooperative Wildlife Research Unit

Application of landscape genetics to predicting the spread of chronic wasting disease in Wisconsin

 

Understanding likely distances and direction of CWD spread in free-ranging animals is necessary to predict rates and spread of disease, the impact of CWD on deer populations, and to develop effective strategies for control. The overall objective of this research project is to use a landscape genetics approach across south-central WI to characterize the relationship between landscape characteristics, fine scale spatial population genetic structure, and the distribution and potential spread of chronic wasting disease in white-tailed deer.

 

Our specific objectives are three-fold:

1) Characterize deer spatial genetic structure across south-central WI- We will use samples from harvested deer and molecular genetic markers to characterize the spatial pattern of genetic diversity and variation on the landscape. From these data we will predict distance, direction, and rates of deer dispersal.

2) Identify whether characteristics of the landscape in south-central WI help to explain the pattern of spatial genetic structure observed in the deer population over and above geographic distance- We will identify landscape features such as rivers, major highways, habitat types (e.g., agricultural, forested, amount of thermal cover), and degree of fragmentation that are associated with patterns of genetic connectivity or discontinuity across the study region.

3) Use the pattern of deer spatial genetic structure and the landscape characteristics identified to facilitate or impede deer movement to inform predictive models gene flow and predict chronic wasting disease spread across south-central WI- Results of this study will be used to help understand the disease dynamics of CWD, the spatial spread of disease and its relationship to deer movement and landscape features, and assist management agencies in developing appropriate management and surveillance strategies for this disease.

 

 

 

Co-Investigator: Dr. Kim T. Scribner, Department of Fisheries and Wildlife, Michigan State University


Former Research Associate: Dr. Julie A. Blanchong

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