Literature DB >> 30659933

Glycerol metabolism of Pichia pastoris (Komagataella spp.) characterised by 13C-based metabolic flux analysis.

Màrius Tomàs-Gamisans1, Anders Sebastian Rosenkrans Ødum2, Mhairi Workman3, Pau Ferrer4, Joan Albiol5.   

Abstract

Metabolic flux analysis based on 13C-derived constraints has proved to be a powerful method for quantitative physiological characterisation of one of the most extensively used microbial cell factory platforms, Pichia pastoris (syn. Komagataella spp.). Nonetheless, the reduced number of carbon atoms and the symmetry of the glycerol molecule has hampered the comprehensive determination of metabolic fluxes when used as the labelled C-source. Moreover, metabolic models typically used for 13C-based flux balance analysis may be incomplete or misrepresent the actual metabolic network. To circumvent these limitations, we reduced the genome-scale metabolic model iMT1026-v3.0 into a core model and used it for the iterative fitting of metabolic fluxes to the measured mass isotope distribution of proteinogenic amino acids obtained after fractional 13C labelling of cells with [1,3-13C]-glycerol. This workflow allows reliable estimates to be obtained for in vivo fluxes in P. pastoris cells growing on glycerol as sole carbon source, as well as revising previous assumptions concerning its metabolic operation, such as alternative metabolic branches, calculation of energetic parameters and proposed specific cofactor utilisation.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  (13)C-based metabolic flux analysis; Genome-Scale metabolic model; Glycerol; Pichia pastorisKomagataella spp

Mesh:

Substances:

Year:  2019        PMID: 30659933     DOI: 10.1016/j.nbt.2019.01.005

Source DB:  PubMed          Journal:  N Biotechnol        ISSN: 1871-6784            Impact factor:   5.079


  7 in total

1.  Applicability of the heterologous yeast promoters for recombinant protein production in Pichia pastoris.

Authors:  Fidan Erden-Karaoğlan; Mert Karaoğlan
Journal:  Appl Microbiol Biotechnol       Date:  2022-09-27       Impact factor: 5.560

2.  Metabolic engineering of Kluyveromyces marxianus for biomass-based applications.

Authors:  Gustavo Graciano Fonseca
Journal:  3 Biotech       Date:  2022-09-03       Impact factor: 2.893

3.  Effects of Oleic Acid Addition Methods on the Metabolic Flux Distribution of Ganoderic Acids R, S and T's Biosynthesis.

Authors:  Meng-Qiu Yan; Xiao-Wei Su; Yan-Fang Liu; Chuan-Hong Tang; Qing-Jiu Tang; Shuai Zhou; Yi Tan; Li-Ping Liu; Jing-Song Zhang; Jie Feng
Journal:  J Fungi (Basel)       Date:  2022-06-09

4.  Evaluation of Product Distribution in Chemostat and Batch Fermentation in Lactic Acid-Producing Komagataella phaffii Strains Utilizing Glycerol as Substrate.

Authors:  Nadielle Tamires Moreira Melo; Gabriela Coimbra Pontes; Dielle Pierotti Procópio; Gabriel Caetano de Gois E Cunha; Kevy Pontes Eliodório; Hugo Costa Paes; Thiago Olitta Basso; Nádia Skorupa Parachin
Journal:  Microorganisms       Date:  2020-05-22

Review 5.  What makes Komagataella phaffii non-conventional?

Authors:  Özge Ata; Burcu Gündüz Ergün; Patrick Fickers; Lina Heistinger; Diethard Mattanovich; Corinna Rebnegger; Brigitte Gasser
Journal:  FEMS Yeast Res       Date:  2021-12-24       Impact factor: 2.796

Review 6.  Metabolic flux analysis: a comprehensive review on sample preparation, analytical techniques, data analysis, computational modelling, and main application areas.

Authors:  Bruna de Falco; Francesco Giannino; Fabrizio Carteni; Stefano Mazzoleni; Dong-Hyun Kim
Journal:  RSC Adv       Date:  2022-09-07       Impact factor: 4.036

7.  Specific growth rate governs AOX1 gene expression, affecting the production kinetics of Pichia pastoris (Komagataella phaffii) PAOX1-driven recombinant producer strains with different target gene dosage.

Authors:  Javier Garrigós-Martínez; Miguel Angel Nieto-Taype; Arnau Gasset-Franch; José Luis Montesinos-Seguí; Xavier Garcia-Ortega; Francisco Valero
Journal:  Microb Cell Fact       Date:  2019-11-01       Impact factor: 5.328

  7 in total

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