The objective of this project is to develop yeast metabolic models for the dynamic analysis of gene knockouts and insertions on metabolite production in batch and fed-batch culture. We have developed dynamic flux balance models that combine stoichiometric equations for intracellular metabolism with dynamic mass balances on key extracellular nutrients and products. A small-scale stoichiometric model of yeast primary metabolism has been used to develop a dynamic flux balance model for determining fed-batch operating policies that optimize ethanol production. Optimal solutions generated to analyze the tradeoff between maximal productivity and yield objectives show that the prediction of a microaerobic region is significant. We have developed a more comprehensive dynamic model based on a genome-scale reconstruction of yeast metabolism to investigate metabolic engineering strategies for ethanol production in glucose and glucose/xylose media. Our initial results show that optimal cellular engineering strategies can be strongly dependent on the fermenter operating mode, such that conventional steady-state flux balance analysis can produce misleading results for batch and fed-batch cultures. Our long-term goal is to develop an integrated optimization framework that simultaneously identifies promising genetic manipulations and favorable dynamic operating policies.
Funding: UMass Process Design and Control Center
Student: Jared Hjersted (6th year Ph.D.)
Collaborator: Prof. Krishna Mahadevan (U. Toronto)
Publications and Recent Presentations: