Martina Stromvik

Associate Professor
Plant Science
McGill University
Canada

Biography

Associate Professor; Departmental Chair BA, MS (Stockholm) PhD (Illinois)

Research Intrest

Dr. Stromvik combines her bioinformatics and molecular biology/genomics expertise to research functional anatomy as a result of cell or tissue specific gene expression in crop and forest plants. Martina V. Stromvik collageEach plant species is considered to have between 20,000 and 60,000 genes. Expression of each gene at the correct time and in the correct cells is made possible by the composition of the associated gene cis-acting regulatory sequences, the promoters. Diversity in plant promoters and regulatory elements is the primary basis for the development of functional organisms. Promoters are also recognized as an incredible source of tools for correctly expressing genes in crop improvement and metabolic engineering such as for the development of new bio products (medicines, vaccines, industrial oils, paints, lubricants, adhesives, plastics, alternative energy sources, and plants for industrial decontamination). However, to date little is known about promoters, and especially about plant promoters. Dr. Stromvik's research program elucidates plant gene expression and promoters on a global scale, using bioinformatics and microgenomics methods in the important crop plant soybean (Glycine max (L.) Merr.), but also in other species such as Oxytropis spp., and Arabidopsis thaliana.

List of Publications
Galvez Lopez, J.H., Tai, H., Zebarth, B., Lagüe, M., and Strömvik, M.V. (2016) "The nitrogen responsive transcriptome in potato (Solanum tuberosum L.) reveals significant gene regulatory motifs" Scientific Reports 6: 26090 doi:10.1038/srep26090
Galvez Lopez, J.H., Tai, H., Barkley, N.A., Gardner, K., Ellis, D., and Strömvik, M.V. (2017) “Understanding potato with the help of genomics” AIMS Agriculture and Food, 2(1): 16-39 doi:10.3934/agrfood.2017.1.16
Munusamy, P., Zolotarov, Y., Meteignier, L-V., Moffet, P. and Strömvik, M.V. (2017) “De novo computational identification of stress-related sequence motifs and microRNA target sites in untranslated regions of a plant translatome” Scientific Reports 7, 43861 doi: 10.1038/srep43861

Global Scientific Words in Agri and Aquaculture