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Adaptation of central metabolite pools to variations in growth rate and cultivation conditions in Saccharomyces cerevisiae

BACKGROUND: Saccharomyces 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 t...

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Autores principales: Kumar, Kanhaiya, Venkatraman, Vishwesh, Bruheim, Per
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7941957/
https://www.ncbi.nlm.nih.gov/pubmed/33750414
http://dx.doi.org/10.1186/s12934-021-01557-8
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author Kumar, Kanhaiya
Venkatraman, Vishwesh
Bruheim, Per
author_facet Kumar, Kanhaiya
Venkatraman, Vishwesh
Bruheim, Per
author_sort Kumar, Kanhaiya
collection PubMed
description BACKGROUND: Saccharomyces 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. RESULTS: Glutamate, 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(−1), approximate one-fourth of maximal unlimited growth rate) illuminates an interesting pattern: almost all pools are lower in nitrogen and phosphate limited conditions compared to glucose limitation, except for the TCA metabolites citrate, isocitrate and α-ketoglutarate. CONCLUSIONS: This 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12934-021-01557-8.
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spelling pubmed-79419572021-03-09 Adaptation of central metabolite pools to variations in growth rate and cultivation conditions in Saccharomyces cerevisiae Kumar, Kanhaiya Venkatraman, Vishwesh Bruheim, Per Microb Cell Fact Research BACKGROUND: Saccharomyces 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. RESULTS: Glutamate, 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(−1), approximate one-fourth of maximal unlimited growth rate) illuminates an interesting pattern: almost all pools are lower in nitrogen and phosphate limited conditions compared to glucose limitation, except for the TCA metabolites citrate, isocitrate and α-ketoglutarate. CONCLUSIONS: This 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12934-021-01557-8. BioMed Central 2021-03-09 /pmc/articles/PMC7941957/ /pubmed/33750414 http://dx.doi.org/10.1186/s12934-021-01557-8 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Kumar, Kanhaiya
Venkatraman, Vishwesh
Bruheim, Per
Adaptation of central metabolite pools to variations in growth rate and cultivation conditions in Saccharomyces cerevisiae
title Adaptation of central metabolite pools to variations in growth rate and cultivation conditions in Saccharomyces cerevisiae
title_full Adaptation of central metabolite pools to variations in growth rate and cultivation conditions in Saccharomyces cerevisiae
title_fullStr Adaptation of central metabolite pools to variations in growth rate and cultivation conditions in Saccharomyces cerevisiae
title_full_unstemmed Adaptation of central metabolite pools to variations in growth rate and cultivation conditions in Saccharomyces cerevisiae
title_short Adaptation of central metabolite pools to variations in growth rate and cultivation conditions in Saccharomyces cerevisiae
title_sort adaptation of central metabolite pools to variations in growth rate and cultivation conditions in saccharomyces cerevisiae
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7941957/
https://www.ncbi.nlm.nih.gov/pubmed/33750414
http://dx.doi.org/10.1186/s12934-021-01557-8
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