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Liebal UW, Fabry BA, Ravikrishnan A, Schedel CV, Schmitz S, Blank LM, Ebert BE. Genome-scale model reconstruction of the methylotrophic yeast Ogataea polymorpha. BMC Biotechnol 2021; 21:23. [PMID: 33722219 PMCID: PMC7962355 DOI: 10.1186/s12896-021-00675-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 12/04/2020] [Indexed: 11/10/2022] Open
Abstract
Background Ogataea polymorpha is a thermotolerant, methylotrophic yeast with significant industrial applications. While previously mainly used for protein synthesis, it also holds promise for producing platform chemicals. O. polymorpha has the distinct advantage of using methanol as a substrate, which could be potentially derived from carbon capture and utilization streams. Full development of the organism into a production strain and estimation of the metabolic capabilities require additional strain design, guided by metabolic modeling with a genome-scale metabolic model. However, to date, no genome-scale metabolic model is available for O. polymorpha. Results To overcome this limitation, we used a published reconstruction of the closely related yeast Komagataella phaffii as a reference and corrected reactions based on KEGG and MGOB annotation. Additionally, we conducted phenotype microarray experiments to test the suitability of 190 substrates as carbon sources. Over three-quarter of the substrate use was correctly reproduced by the model and 27 new substrates were added, that were not present in the K. phaffii reference model. Conclusion The developed genome-scale metabolic model of O. polymorpha will support the engineering of synthetic metabolic capabilities and enable the optimization of production processes, thereby supporting a sustainable future methanol economy. Supplementary Information The online version contains supplementary material available at (10.1186/s12896-021-00675-w).
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Affiliation(s)
- Ulf W Liebal
- Institute of Applied Microbiology-iAMB, Aachen Biology and Biotechnology-ABBt, RWTH Aachen University, Worringer Weg 1, Aachen, 52074, Germany
| | - Brigida A Fabry
- Institute of Applied Microbiology-iAMB, Aachen Biology and Biotechnology-ABBt, RWTH Aachen University, Worringer Weg 1, Aachen, 52074, Germany
| | - Aarthi Ravikrishnan
- Genome Institute of Singapore, 60 Biopolis Street, Genome, 03-01, Singapore, 138672, Singapore
| | - Constantin Vl Schedel
- Institute of Applied Microbiology-iAMB, Aachen Biology and Biotechnology-ABBt, RWTH Aachen University, Worringer Weg 1, Aachen, 52074, Germany
| | - Simone Schmitz
- Institute of Applied Microbiology-iAMB, Aachen Biology and Biotechnology-ABBt, RWTH Aachen University, Worringer Weg 1, Aachen, 52074, Germany
| | - Lars M Blank
- Institute of Applied Microbiology-iAMB, Aachen Biology and Biotechnology-ABBt, RWTH Aachen University, Worringer Weg 1, Aachen, 52074, Germany.
| | - Birgitta E Ebert
- Institute of Applied Microbiology-iAMB, Aachen Biology and Biotechnology-ABBt, RWTH Aachen University, Worringer Weg 1, Aachen, 52074, Germany.,Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD 4072, Australia.,CSIRO Future Science Platform in Synthetic Biology, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Black Mountain, ACT 2601, Australia
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Li Z, Zhou Y, Yang H, Zhang D, Wang C, Liu H, Li X, Zhao J, Wei C. A novel strategy and kinetics analysis of half-fractional high cell density fed-batch cultivation of Zygosaccharomyces rouxii. Food Sci Nutr 2018; 6:1162-1169. [PMID: 29983981 PMCID: PMC6021702 DOI: 10.1002/fsn3.666] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Revised: 03/31/2018] [Accepted: 04/09/2018] [Indexed: 11/08/2022] Open
Abstract
Zygosaccharomyces rouxii is an important microorganism for aroma production in traditional fermented foods. Using Z. rouxii as the original strain, the batch was split after glucose depletion in the culture medium. Half of the volume of the culture medium was released, and fresh culture medium was fed in. The exponential culture kinetics and the formula for the half-fractional fed-batch cultivations were determined to achieve a new strategy for high cell density culturing of Z. rouxii. Based on a full cultivation, three half-fractional fed-batch cultivations were performed after every 10 hr of culture. The specific growth rates of Z. rouxii at the different stages were in the order μ X0>μ X1>μ X2>μ X3 (0.525 to 0.229 hr-1). The glucose substrate consumption rates gradually decreased following the order μ S0>μ S1>μ S2>μ S3 (-1.165 to -0.722, g/g). The equation models for cell growth and glucose substrate consumption showed typical exponential behavior. The total cell yield was 1.78-fold higher than the yield from a full cultivation, and this continuous subculture strategy also indicated a higher efficiency than traditional full cultivation. A new strategy for highly efficient culturing of Z. rouxii was achieved in a pilot scale. A foundation with data support for the production and application of Z. rouxii was developed.
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Affiliation(s)
- Zhijiang Li
- Department of Food and EngineeringCollege of FoodHeilongjiang Bayi Agricultural UniversityDaqingChina
- Beijing Engineering and Technology Research Center of Food AdditivesBeijing Technology& Business University (BTBU)BeijingChina
| | - Yanan Zhou
- Department of Food and EngineeringCollege of FoodHeilongjiang Bayi Agricultural UniversityDaqingChina
| | - Hongzhi Yang
- Department of Food and EngineeringCollege of FoodHeilongjiang Bayi Agricultural UniversityDaqingChina
| | - Dongjie Zhang
- Department of Food and EngineeringCollege of FoodHeilongjiang Bayi Agricultural UniversityDaqingChina
| | - Chengtao Wang
- Beijing Engineering and Technology Research Center of Food AdditivesBeijing Technology& Business University (BTBU)BeijingChina
| | - Hong Liu
- Department of Food and EngineeringCollege of FoodHeilongjiang Bayi Agricultural UniversityDaqingChina
| | - Xin Li
- Department of Food and EngineeringCollege of FoodHeilongjiang Bayi Agricultural UniversityDaqingChina
| | - Jing Zhao
- Department of Food and EngineeringCollege of FoodHeilongjiang Bayi Agricultural UniversityDaqingChina
| | - Chunhong Wei
- Department of Food and EngineeringCollege of FoodHeilongjiang Bayi Agricultural UniversityDaqingChina
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Fast development of Pichia pastoris GS115 Mut+ cultures employing batch-to-batch control and hybrid semi-parametric modeling. Bioprocess Biosyst Eng 2013; 37:629-39. [DOI: 10.1007/s00449-013-1029-9] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2013] [Accepted: 07/26/2013] [Indexed: 10/26/2022]
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Setoodeh P, Jahanmiri A, Eslamloueyan R. Hybrid neural modeling framework for simulation and optimization of diauxie-involved fed-batch fermentative succinate production. Chem Eng Sci 2012. [DOI: 10.1016/j.ces.2012.06.031] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Chen BY, You JW, Hsieh YT, Chang JS. Feasibility study of exponential feeding strategy in fed-batch cultures for phenol degradation using Cupriavidus taiwanensis. Biochem Eng J 2008. [DOI: 10.1016/j.bej.2008.04.012] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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