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PMID: 35323706 Published · epublish English Journal Article

Monitoring Intracellular Metabolite Dynamics in Saccharomyces cerevisiae during Industrially Relevant Famine Stimuli.

Metabolites ·Vol. 12 ·No. 3 ·2022-03-18

Minden S, Aniolek M, Sarkizi Shams Hajian C, Teleki A, Zerrer T, Delvigne F, van Gulik W, Deshmukh A, Noorman H, Takors R

Abstract

Carbon limitation is a common feeding strategy in bioprocesses to enable an efficient microbiological conversion of a substrate to a product. However, industrial settings inherently promote mixing insufficiencies, creating zones of famine conditions. Cells frequently traveling through such regions repeatedly experience substrate shortages and respond individually but often with a deteriorated production performance. A priori knowledge of the expected strain performance would enable targeted strain, process, and bioreactor engineering for minimizing performance loss. Today, computational fluid dynamics (CFD) coupled to data-driven kinetic models are a promising route for the in silico investigation of the impact of the dynamic environment in the large-scale bioreactor on microbial performance. However, profound wet-lab datasets are needed to cover relevant perturbations on realistic time scales. As a pioneering study, we quantified intracellular metabolome dynamics of Saccharomyces cerevisiae following an industrially relevant famine perturbation. Stimulus-response experiments were operated as chemostats with an intermittent feed and high-frequency sampling. Our results reveal that even mild glucose gradients in the range of 100 μmol·L-1 impose significant perturbations in adapted and non-adapted yeast cells, altering energy and redox homeostasis. Apparently, yeast sacrifices catabolic reduction charges for the sake of anabolic persistence under acute carbon starvation conditions. After repeated exposure to famine conditions, adapted cells show 2.7% increased maintenance demands.

Keywords
Saccharomyces cerevisiae baker’s yeast bioprocess engineering bioreactor chemostat metabolomics scale-down scale-up stimulus-response experiment substrate gradient systems biology
作者与单位
共 10 位作者,点击展开单位 / ORCID
Minden Steven ORCID
Institute of Biochemical Engineering, University of Stuttgart, 70569 Stuttgart, Germany.
Aniolek Maria
Institute of Biochemical Engineering, University of Stuttgart, 70569 Stuttgart, Germany.
Sarkizi Shams Hajian Christopher ORCID
Institute of Biochemical Engineering, University of Stuttgart, 70569 Stuttgart, Germany.
Teleki Attila
Institute of Biochemical Engineering, University of Stuttgart, 70569 Stuttgart, Germany.
Zerrer Tobias
Institute of Biochemical Engineering, University of Stuttgart, 70569 Stuttgart, Germany.
Delvigne Frank ORCID
Microbial Processes and Interactions (MiPI), TERRA Research and Teaching Centre, Gembloux Agro Bio Tech, University of Liege, 5030 Gembloux, Belgium.
van Gulik Walter
Department of Biotechnology, Delft University of Technology, van der Maasweg 6, 2629 HZ Delft, The Netherlands.
Deshmukh Amit
Royal DSM, 2613 AX Delft, The Netherlands.
Noorman Henk
Royal DSM, 2613 AX Delft, The Netherlands. | Department of Biotechnology, Delft University of Technology, 2628 CD Delft, The Netherlands.
Takors Ralf
Institute of Biochemical Engineering, University of Stuttgart, 70569 Stuttgart, Germany.
Article Info
Journal
Metabolites
Abbr.
Metabolites
ISSN
2218-1989
Published
2022-03-18
电子出版
2022-00-18
Language
English
Country/Region
Switzerland
NLM ID
101578790
基金资助
Federal Ministry of Education and Research · FKZ 031B0629
ERA CoBioTech · 722361
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