42 Genome Scale Model Reconstruction of the Methylotrophic

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42 Genome Scale Model Reconstruction of the Methylotrophic

GENOME SCALE MODEL RECONSTRUCTION OF THE METHYLOTROPHIC YEAST OGATAEA POLYMORPHA Simone Schmitz, RWTH Aachen University, Germany [email protected] Ulf W. Liebal, RWTH Aachen University, Germany Aarthi Ravikrishnan, Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences; Institute of Technology Madras, India Constantin V.L. Schedel, RWTH Aachen University, Germany Lars M. Blank, RWTH Aachen University, Germany Birgitta E. Ebert, RWTH Aachen University, Germany Key words: Ogataea (Hansenula) polymorpha, metabolic model, phenotype microarray experiments, methylotrophic yeast Ogataea polymorpha is a thermotolerant, methylotrophic yeast with significant industrial applications. It is a promising host to generate platform chemicals from methanol, derived e.g. from carbon capture and utilization streams. Full development of the organism into a production strain requires additional strain design, supported by metabolic modeling on the basis of a genome-scale metabolic model. However, to date, no genome-scale metabolic model is available for O. polymorpha. To overcome this limitation, we used a published reconstruction of the closely related yeast Pichia pastoris as reference and corrected reactions based on KEGG annotations. Additionally, we conducted phenotype microarray experiments to test O. polymorpha’s metabolic capabilities to grown on or respire 192 different carbon sources. Over three-quarter of the substrate usage was correctly reproduced by the model. However, O. polymorpha failed to metabolize eight substrates and gained 38 new substrates compared to the P. pastoris reference model. To enable the usage of these compounds, metabolic pathways were inferred from literature and database searches and potential enzymes and genes assigned by conducting BLAST searches. To facilitate strain engineering and identify beneficial mutants, gene-protein-reaction relationships need to be included in the model. Again, we used the P. pastoris model as reference to extend the O. polymorpha model with this relevant information. The final metabolic model of O. polymorpha supports the engineering of synthetic metabolic capabilities and enabling the optimization of production processes, thereby supporting a sustainable future methanol economy. .

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