A Dynamic Multi-Tissue Flux Balance Model Captures Carbon and Nitrogen Metabolism and Optimal Resource Partitioning During Arabidopsis Growth, Frontiers, 27 June 2018

Yale-NUS College Assistant Professor of Science (Life Sciences) Maurice Cheung published his research in Frontiers, a community-rooted, open-access academic publisher, on how a dynamic multi-tissue flux balance model captures carbon and nitrogen metabolism and optimal resource partitioning during the growth of a plant, Arabidopsis thaliana. Together with fellow researcher Dr Rahul Shaw, a former postdoctoral researcher at Yale-NUS College, he developed and applied a modelling framework which allowed the modelling of optimal partitioning of resources and biomass in leaf and root over diel phases. The results of their research suggested distinct metabolic roles in nitrogen metabolism played by enzymes with different cofactor specificities. The dynamic model was also used to predict the effect of physiological or environmental perturbation on the growth of Arabidopsis leaves and roots.

 

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