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Skip to Search Results- 3Keeling, Christopher I.
- 2Bohlmann, Jörg
- 2Bonnett, Tiffany R.
- 2Hamelin, Richard C.
- 2Pitt, Caitlin
- 2Robert, Jeanne A.
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Population Structure of Mountain Pine Beetle Symbiont Leptographium longiclavatum and the Implication on the Multipartite Beetle-Fungi Relationships
Download2014-01-01
Roe, Amanda D., Farfan, Lina, Cooke, Janice E. K., Hamelin, Richard C., El-Kassaby, Yousry A., Rice, Adrianne V., Tsui, Clement K.
Over 18 million ha of forests have been destroyed in the past decade in Canada by the mountain pine beetle (MPB) and its fungal symbionts. Understanding their population dynamics is critical to improving modeling of beetle epidemics and providing potential clues to predict population expansion....
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Proteomics indicators of the rapidly shifting physiology from whole mountain pine beetle, Dendroctonus ponderosae (Coleoptera: Curculionidae), adults during early host colonization
Download2014-01-01
Bohlmann, Jörg, Pitt, Caitlin, Huber, Dezene P. W. , Bonnett, Tiffany R., Keeling, Christopher I., Robert, Jeanne A.
We developed proteome profiles for host colonizing mountain pine beetle adults, Dendroctonus ponderosae Hopkins (Coleoptera: Curculionidae). Adult insects were fed in pairs on fresh host lodgepole pine, Pinus contorta Dougl. ex Loud, phloem tissue. The proteomes of fed individuals were monitored...
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Spatial genetic structure of a symbiotic beetle-fungal system: Toward multi-taxa integrated landscape genetics
Download2011-01-01
Sperling, Felix A. H., Hamelin, Richard C., Murray, Brent W., James, Patrick M. A., Coltman, Dave W.
Spatial patterns of genetic variation in interacting species can identify shared features that are important to gene flow and can elucidate co-evolutionary relationships. We assessed concordance in spatial genetic variation between the mountain pine beetle (Dendroctonus ponderosae) and one of its...
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Spatiotemporal integration of molecular and anatomical data in virtual reality using semantic mapping
Download2009
Janzen, R.P., Dong, X., Gordon, P.M., Soh, J., Wishart, D.S., Sabhaney, A., Turinsky, A.L., Sensen, C.W., Chang, J., Hau, D., Xia, J., Trinh, Q.M.
We have developed a computational framework for spatiotemporal integration of molecular and anatomical datasets in a virtual reality environment. Using two case studies involving gene expression data and pharmacokinetic data, respectively, we demonstrate how existing knowledge bases for molecular...
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The construction and use of bacterial DNA microarrays based on an optimized two-stage PCR strategy
Download2003
Li, H., Klahn, J., Galbraith, D.W., Deyholos, M., Sherman, L.A., Impson, L., Postier, B.L., Risinger, G., Andrews, H.L., Burnap, R.L., Pesta, D., Wang, H.L., Singh, A.
Background: DNA microarrays are a powerful tool with important applications such as global gene expression profiling. Construction of bacterial DNA microarrays from genomic sequence data using a two-stage PCR amplification approach for the production of arrayed DNA is attractive because it...