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Medicinal Plant Biotechnology Project Goals:..............Development of mathematical models to test and advance our knowledge of how metabolism is regulated in plants Executive Summary Mathematical model can serve to gain fundamental insights of how flux is distributed between metabolic pathways. Depending on the complexity of the problem and availability of appropriate data, different approaches can be taken. Genome-scale models are based on balancing the reactions of an entire network, where various data sets can be incorporated as constraints for calculations. The scope of kinetic models tends to be more focused and they require detailed information on the biochemical properties of all enzymes. We are integrating mathematic modeling in iterative processes to simulate the biochemistry of a particulr biosolgical system of interest and performing experiments to capture pathway regulation at all levels. These approaches have empowered metabolic enigneering and molecular breeding efforts, often with an emphasis on enhancing the accumulation of metabolites in specialized cell types and tissues. Online Databases YASMEnv - Toolbox to create and analyze stoichiometric metabolic models Selected Recent Publications Turner G.W., Parrish A.N., Zager J.J., Fischedick J.T., Lange B.M. (2019) Assessment of flux through oleoresin biosynthesis in epithelial cells of loblolly pine resin ducts. J. Exp. Bot. 70, 217-230. Zager J.J., Lange B.M. (2018) Assessing flux distribution associated with metabolic specialization of glandular trichomes. Trends Plant Sci. 23, 638-647. Johnson S.R., Lange I., Srividya N., Lange B.M. (2017) Bioenergetics of monoterpenoid essential oil biosynthesis in non-photosynthetic glandular trichomes. Plant Physiol. 175, 681-695. ange B.M., Rios-Estepa R. (2014) Kinetic modeling of plant metabolism and its predictive power peppermint essential oil biosynthesis as an example. Methods Mol. Biol. 1083, 287-311. Lange B.M., Mahmoud S.S., Wildung M.R., Turner G.W., Davis E.M., Lange I., Baker R.C., Boydston R.A., Croteau R.B. (2011) Improving peppermint essential oil yield and composition by metabolic engineering. Proc. Natl. Acad. Sci. USA 108, 16944-16949. Rios-Estepa R., Lange I., Lee J.M., Lange B.M. (2010) Mathematical modeling-guided evaluation of biochemical, developmental, environmental and genotypic determinants of essential oil composition and yield in peppermint leaves. Plant Physiol. 152, 2105-2119 (COVER STORY). Rios-Estepa R., Turner G.W., Lee J.M., Croteau R.B., Lange B.M. (2008) A systems biology approach identifies biochemical mechanisms regulating monoterpenoid essential oil composition in peppermint. Proc. Natl. Acad. Sci. USA 105, 2818-2823. |