Abstract
In this work, a mechanistic model for predicting the dynamic behavior of extracellular and intracellular nutrients, biomass production, and the main metabolites involved in the central carbon metabolism in plant cell cultures of Thevetia peruviana is presented. The proposed model is the first mechanistic model implemented for plant cell cultures of this species, and includes 28 metabolites, 33 metabolic reactions, and 61 parameters. Given the over-parametrization of the model, its nonlinear nature and the strong correlation among the effects of the parameters, a parameter estimation routine based on identifiability analysis was implemented. This routine reduces the parameter’s search space by selecting the most sensitive and linearly independent parameters. Results have shown that only 19 parameters are identifiable. Finally, the model was used for analyzing the fluxes distribution in plant cell cultures of T. peruviana. This analysis shows high uptake of phosphates and parallel uptake of glucose and fructose. Furthermore, it has pointed out the main central carbon metabolism routes for promoting biomass production in this cell culture.
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Acknowledgements
The authors would like to thank the Universidad de Antioquia for the financial support provided to this work through the CODI Grant MDC11-1-08. Furthermore, the support provided by the Universidad Nacional de Colombia, Medellin campus, and the Bioprocesses Research Group of Universidad de Antioquia during the experimental part developed in this work is gratefully acknowledged. Adriana Villegas is grateful to the Universidad Cooperativa de Colombia for the Sustainability Strategy Grant 1336, Universidad de Antioquia, and the LSU Agricultural Center for funding her internship at the Audubon Sugar Institute.
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Villegas, A., Arias, J.P., Aragón, D. et al. Structured model and parameter estimation in plant cell cultures of Thevetia peruviana . Bioprocess Biosyst Eng 40, 573–587 (2017). https://doi.org/10.1007/s00449-016-1722-6
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DOI: https://doi.org/10.1007/s00449-016-1722-6