ArticleMicrobial cell factories2021
Adaptation of central metabolite pools to variations in growth rate and cultivation conditions in Saccharomyces cerevisiae.
Article in Microbial cell factories, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 28 citations in OpenAlex.
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- Protein production dynamics and physiological adaptation of recombinant Komagataella phaffii at near-zero growth rates.Microbial cell factories · 2024Article
- Quantitative profiling and diagnostic potential of one-carbon and central metabolism pools in MODY2 and T1DM.Diabetology & metabolic syndrome · 2023Article
- Analysis of the Formation of Characteristic Aroma Compounds by Amino Acid Metabolic Pathways during Fermentation withMolecules (Basel, Switzerland) · 2023Article
- Optimized Fast Filtration-Based Sampling and Extraction Enables Precise and Absolute Quantification of theMetabolites · 2023Article
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- Serum-free cultures of C2C12 cells show different muscle phenotypes which can be estimated by metabolic profiling.Scientific reports · 2022Article
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- Large dependency of intracellular NAD and CoA pools on cultivation conditions in Saccharomyces cerevisiae.BMC research notes · 2021Article
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3 authors at 1 institution in 1 country.
Funding
Abstract
backgroundSaccharomyces cerevisiae is a well-known popular model system for basic biological studies and serves as a host organism for the heterologous production of commercially interesting small molecules and proteins. The central metabolism is at the core to provide building blocks and energy to support growth and survival in normal situations as well as during exogenous stresses and forced heterologous protein production. Here, we present a comprehensive study of intracellular central metabolite pool profiling when growing S. cerevisiae on different carbon sources in batch cultivations and at different growth rates in nutrient-limited glucose chemostats. The latest versions of absolute quantitative mass spectrometry-based metabolite profiling methodology were applied to cover glycolytic and pentose phosphate pathway metabolites, tricarboxylic acid cycle (TCA), complete amino acid, and deoxy-/nucleoside phosphate pools.
resultsGlutamate, glutamine, alanine, and citrate were the four most abundant metabolites for most conditions tested. The amino acid is the dominant metabolite class even though a marked relative reduction compared to the other metabolite classes was observed for nitrogen and phosphate limited chemostats. Interestingly, glycolytic and pentose phosphate pathway (PPP) metabolites display the largest variation among the cultivation conditions while the nucleoside phosphate pools are more stable and vary within a closer concentration window. The overall trends for glucose and nitrogen-limited chemostats were increased metabolite pools with the increasing growth rate. Next, comparing the chosen chemostat reference growth rate (0.12 h
conclusionsThis study provides new knowledge-how the central metabolism is adapting to various cultivations conditions and growth rates which is essential for expanding our understanding of cellular metabolism and the development of improved phenotypes in metabolic engineering.
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