Photo of Catherine Cullingham

Catherine Cullingham

Assistant Professor

Degrees:B.Sc. (University of Guelph), Ph.D. (Trent University)
Phone:613-520-2600 x 7066
Office:Office: NB 318B
Lab: NB 311
Website:Visit My Website

Current Research

The Genomics of Plants, Pathogens, and Pests (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 my 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 I am working on community genomics in pine-pathogen systems. 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 my lab is investigating the mountain pine beetle and western-gall rust systems to better understand what genetic factors contribute to pathogenicity and host-pine susceptibility. We will use these data to develop risk maps across the relevant ranges of the species which can be used to develop additional research questions, and for making management decisions.

I am seeking potential graduate/undergraduate students to join the lab.

Selected Publications

Cullingham CI, Moehrenschlager A (accepted) Genetics of a reintroduced swift fox population highlights the need for integrated conservation between neighbouring countries. Animal Conservation

Burns I, James PMA, Coltman DW, Cullingham CI (accepted) Spatial and genetic structure of the lodgepole × jack pine hybrid zone. Canadian Journal of Forest Research

Cullingham CI, Peery RM, Fortier CE, Mahon EL, Cooke JEK, Coltman DW (accepted) Linking genotype to phenotype to identify genetic variation relating to host susceptibility in the mountain pine beetle system. Evolutionary Applications

Cullingham CI,† Janes JK†, Hamelin R, James PMA, Murray B, Sperling F (accepted) The contribution of genetics and genomics to understanding the ecology of the mountain pine beetle system. Canadian Journal of Forest Research  †equal contribution by both authors

Russel T, Cullingham CI, Stothard P, Kommadath A, Herbst A, Coltman DW (2019) Development of a novel mule deer genomic assembly and species-diagnostic SNP panel for assessing introgression in mule deer, white-tailed deer, and their interspecific hybrids. G3-Genes Genomes Genetics, 9, 911-919.

Janes JK, Miller JM, Dupuis JR, Malenfant RM, Gorrell JC, Cullingham CI, Andrew RL (2017) The K=2 conundrum. Molecular Ecology, 26, 3594-3602.

Cullingham CI, Thiessen CD, Derocher AE, Paquet PC, Miller JM, Hamilton JA, Coltman DW (2016) Population structure and dispersal of wolves in the Canadian Rocky Mountains. Journal of Mammalogy, 97, 839-851.

Cullingham CI, Cooke JEK, Coltman DW (2014) Cross-species outlier detection reveals different evolutionary pressures between sister species. New Phytologist, 204, 215-229.