Optogenetic control of Cdc48 for dynamic metabolic engineering in yeast.


Journal

Metabolic engineering
ISSN: 1096-7184
Titre abrégé: Metab Eng
Pays: Belgium
ID NLM: 9815657

Informations de publication

Date de publication:
09 2023
Historique:
received: 14 02 2023
revised: 25 06 2023
accepted: 26 06 2023
medline: 12 9 2023
pubmed: 9 7 2023
entrez: 8 7 2023
Statut: ppublish

Résumé

Dynamic metabolic engineering is a strategy to switch key metabolic pathways in microbial cell factories from biomass generation to accumulation of target products. Here, we demonstrate that optogenetic intervention in the cell cycle of budding yeast can be used to increase production of valuable chemicals, such as the terpenoid β-carotene or the nucleoside analog cordycepin. We achieved optogenetic cell-cycle arrest in the G2/M phase by controlling activity of the ubiquitin-proteasome system hub Cdc48. To analyze the metabolic capacities in the cell cycle arrested yeast strain, we studied their proteomes by timsTOF mass spectrometry. This revealed widespread, but highly distinct abundance changes of metabolic key enzymes. Integration of the proteomics data in protein-constrained metabolic models demonstrated modulation of fluxes directly associated with terpenoid production as well as metabolic subsystems involved in protein biosynthesis, cell wall synthesis, and cofactor biosynthesis. These results demonstrate that optogenetically triggered cell cycle intervention is an option to increase the yields of compounds synthesized in a cellular factory by reallocation of metabolic resources.

Identifiants

pubmed: 37422133
pii: S1096-7176(23)00095-2
doi: 10.1016/j.ymben.2023.06.013
pii:
doi:

Substances chimiques

Saccharomyces cerevisiae Proteins 0
Terpenes 0
CDC48 protein, S cerevisiae EC 3.6.4.-

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

97-107

Informations de copyright

Copyright © 2023 International Metabolic Engineering Society. Published by Elsevier Inc. All rights reserved.

Auteurs

Filipp Bezold (F)

Unit for Structural Biochemistry, Department of Chemistry, Philipps-University Marburg, 35032, Marburg, Germany.

Johannes Scheffer (J)

Unit for Structural Biochemistry, Department of Chemistry, Philipps-University Marburg, 35032, Marburg, Germany.

Philipp Wendering (P)

Systems Biology and Mathematical Modeling, Max Planck Institute of Molecular Plant Physiology, 14476, Potsdam, Germany; Bioinformatics, Institute of Biochemistry and Biology, University of Potsdam, 14476, Potsdam, Germany.

Zahra Razaghi-Moghadam (Z)

Systems Biology and Mathematical Modeling, Max Planck Institute of Molecular Plant Physiology, 14476, Potsdam, Germany; Bioinformatics, Institute of Biochemistry and Biology, University of Potsdam, 14476, Potsdam, Germany.

Jonathan Trauth (J)

Unit for Structural Biochemistry, Department of Chemistry, Philipps-University Marburg, 35032, Marburg, Germany.

Bastian Pook (B)

Unit for Structural Biochemistry, Department of Chemistry, Philipps-University Marburg, 35032, Marburg, Germany.

Hagen Nußhär (H)

Unit for Structural Biochemistry, Department of Chemistry, Philipps-University Marburg, 35032, Marburg, Germany.

Sophia Hasenjäger (S)

Unit for Structural Biochemistry, Department of Chemistry, Philipps-University Marburg, 35032, Marburg, Germany.

Zoran Nikoloski (Z)

Systems Biology and Mathematical Modeling, Max Planck Institute of Molecular Plant Physiology, 14476, Potsdam, Germany; Bioinformatics, Institute of Biochemistry and Biology, University of Potsdam, 14476, Potsdam, Germany.

Lars-Oliver Essen (LO)

Unit for Structural Biochemistry, Department of Chemistry, Philipps-University Marburg, 35032, Marburg, Germany. Electronic address: essen@chemie.uni-marburg.de.

Christof Taxis (C)

Department of Biology/Genetics, Philipps-University Marburg, 35032, Marburg, Germany; School of Science and Technology, University Siegen, 57076, Siegen, Germany. Electronic address: taxis@staff.uni-marburg.de.

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Classifications MeSH