Catherine Cullingham
Professor
Faculty of Science
Department of Biology
Ottawa, Ontario
catherine.cullingham@carleton.ca
Mobile:
(780) 995-3045
Expert In
Media Relations
Bio/Research
The Genomics of Plants, Pests and Populations (GP3) lab uses methods from molecular biology, landscape ecology, population genetics/genomics, and geographic information systems to address issues in wildlife management (yes, plants are wildlife!). Often Cullingham's research looks at spread risk o...
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Bio/Research
The Genomics of Plants, Pests and Populations (GP3) lab uses methods from molecular biology, landscape ecology, population genetics/genomics, and geographic information systems to address issues in wildlife management (yes, plants are wildlife!). Often Cullingham's research looks at spread risk of disease from the perspective of the host. This has included using landscape genetics to understand animal movement to predict raccoon rabies, and chronic wasting disease spread, to identifying genetic variation that may be linked to lodgepole pine susceptibility in the mountain pine beetle system.
Currently she is working on community genomics in two systems: mountain-pine beetle and mosquito arboviruses. While we can garner considerable information studying species in isolation, we need to examine species as a community to better understand host-pathogen systems. Using methods from population genomics and landscape ecology her lab is investigating the mountain pine beetle system to better understand what genetic factors contribute to pathogenicity and host-pine susceptibility to develop risk maps across the relevant ranges of the species which can be used for making management decisions. In the mosquito system, we are using landscape genetic approaches to help quantify risk of increasing viral prevalence under climate change.
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Currently she is working on community genomics in two systems: mountain-pine beetle and mosquito arboviruses. While we can garner considerable information studying species in isolation, we need to examine species as a community to better understand host-pathogen systems. Using methods from population genomics and landscape ecology her lab is investigating the mountain pine beetle system to better understand what genetic factors contribute to pathogenicity and host-pine susceptibility to develop risk maps across the relevant ranges of the species which can be used for making management decisions. In the mosquito system, we are using landscape genetic approaches to help quantify risk of increasing viral prevalence under climate change.
Click to Shrink <<