Model Parameterization with Quantitative Proteomics: Case Study with Trehalose Metabolism in <i>Saccharomyces cerevisiae</i>
When <i>Saccharomyces cerevisiae</i> undergoes heat stress it stimulates several changes that are necessary for its survival, notably in carbon metabolism. Notable changes include increase in trehalose production and glycolytic flux. The increase in glycolytic flux has been postulated to...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-01-01
|
Series: | Processes |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-9717/9/1/139 |
id |
doaj-e8005cd5be414e358f717af5a509c21a |
---|---|
record_format |
Article |
spelling |
doaj-e8005cd5be414e358f717af5a509c21a2021-01-13T00:01:58ZengMDPI AGProcesses2227-97172021-01-01913913910.3390/pr9010139Model Parameterization with Quantitative Proteomics: Case Study with Trehalose Metabolism in <i>Saccharomyces cerevisiae</i>Chuan Fu Yap0Manuel Garcia-Albornoz1Andrew F. Jarnuczak2Simon J. Hubbard3Jean-Marc Schwartz4Manchester Academic Health Science Centre, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester M13 9PT, UKManchester Academic Health Science Centre, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester M13 9PT, UKManchester Academic Health Science Centre, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester M13 9PT, UKManchester Academic Health Science Centre, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester M13 9PT, UKManchester Academic Health Science Centre, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester M13 9PT, UKWhen <i>Saccharomyces cerevisiae</i> undergoes heat stress it stimulates several changes that are necessary for its survival, notably in carbon metabolism. Notable changes include increase in trehalose production and glycolytic flux. The increase in glycolytic flux has been postulated to be due to the regulatory effects in upper glycolysis, but this has not been confirmed. Additionally, trehalose is a useful industrial compound for its protective properties. A model of trehalose metabolism in <i>S. cerevisiae</i> was constructed using Convenient Modeller, a software that uses a combination of convenience kinetics and a genetic algorithm. The model was parameterized with quantitative omics under standard conditions and validated using data collected under heat stress conditions. The completed model was used to show that feedforward activation of pyruvate kinase by fructose 1,6-bisphosphate during heat stress contributes to the increase in metabolic flux. We were also able to demonstrate in silico that overexpression of enzymes involved in production and degradation of trehalose can lead to higher trehalose yield in the cell. By integrating quantitative proteomics with metabolic modelling, we were able to confirm that the flux increase in trehalose metabolic pathways during heat stress is due to regulatory effects and not purely changes in enzyme expression. The overexpression of enzymes involved in trehalose metabolism is a potential approach to be exploited for trehalose production without need for increasing temperature.https://www.mdpi.com/2227-9717/9/1/139metabolic modellingmetabolic engineeringkinetic modeltrehalose metabolismheat stressgenetic algorithm |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Chuan Fu Yap Manuel Garcia-Albornoz Andrew F. Jarnuczak Simon J. Hubbard Jean-Marc Schwartz |
spellingShingle |
Chuan Fu Yap Manuel Garcia-Albornoz Andrew F. Jarnuczak Simon J. Hubbard Jean-Marc Schwartz Model Parameterization with Quantitative Proteomics: Case Study with Trehalose Metabolism in <i>Saccharomyces cerevisiae</i> Processes metabolic modelling metabolic engineering kinetic model trehalose metabolism heat stress genetic algorithm |
author_facet |
Chuan Fu Yap Manuel Garcia-Albornoz Andrew F. Jarnuczak Simon J. Hubbard Jean-Marc Schwartz |
author_sort |
Chuan Fu Yap |
title |
Model Parameterization with Quantitative Proteomics: Case Study with Trehalose Metabolism in <i>Saccharomyces cerevisiae</i> |
title_short |
Model Parameterization with Quantitative Proteomics: Case Study with Trehalose Metabolism in <i>Saccharomyces cerevisiae</i> |
title_full |
Model Parameterization with Quantitative Proteomics: Case Study with Trehalose Metabolism in <i>Saccharomyces cerevisiae</i> |
title_fullStr |
Model Parameterization with Quantitative Proteomics: Case Study with Trehalose Metabolism in <i>Saccharomyces cerevisiae</i> |
title_full_unstemmed |
Model Parameterization with Quantitative Proteomics: Case Study with Trehalose Metabolism in <i>Saccharomyces cerevisiae</i> |
title_sort |
model parameterization with quantitative proteomics: case study with trehalose metabolism in <i>saccharomyces cerevisiae</i> |
publisher |
MDPI AG |
series |
Processes |
issn |
2227-9717 |
publishDate |
2021-01-01 |
description |
When <i>Saccharomyces cerevisiae</i> undergoes heat stress it stimulates several changes that are necessary for its survival, notably in carbon metabolism. Notable changes include increase in trehalose production and glycolytic flux. The increase in glycolytic flux has been postulated to be due to the regulatory effects in upper glycolysis, but this has not been confirmed. Additionally, trehalose is a useful industrial compound for its protective properties. A model of trehalose metabolism in <i>S. cerevisiae</i> was constructed using Convenient Modeller, a software that uses a combination of convenience kinetics and a genetic algorithm. The model was parameterized with quantitative omics under standard conditions and validated using data collected under heat stress conditions. The completed model was used to show that feedforward activation of pyruvate kinase by fructose 1,6-bisphosphate during heat stress contributes to the increase in metabolic flux. We were also able to demonstrate in silico that overexpression of enzymes involved in production and degradation of trehalose can lead to higher trehalose yield in the cell. By integrating quantitative proteomics with metabolic modelling, we were able to confirm that the flux increase in trehalose metabolic pathways during heat stress is due to regulatory effects and not purely changes in enzyme expression. The overexpression of enzymes involved in trehalose metabolism is a potential approach to be exploited for trehalose production without need for increasing temperature. |
topic |
metabolic modelling metabolic engineering kinetic model trehalose metabolism heat stress genetic algorithm |
url |
https://www.mdpi.com/2227-9717/9/1/139 |
work_keys_str_mv |
AT chuanfuyap modelparameterizationwithquantitativeproteomicscasestudywithtrehalosemetabolisminisaccharomycescerevisiaei AT manuelgarciaalbornoz modelparameterizationwithquantitativeproteomicscasestudywithtrehalosemetabolisminisaccharomycescerevisiaei AT andrewfjarnuczak modelparameterizationwithquantitativeproteomicscasestudywithtrehalosemetabolisminisaccharomycescerevisiaei AT simonjhubbard modelparameterizationwithquantitativeproteomicscasestudywithtrehalosemetabolisminisaccharomycescerevisiaei AT jeanmarcschwartz modelparameterizationwithquantitativeproteomicscasestudywithtrehalosemetabolisminisaccharomycescerevisiaei |
_version_ |
1724339815337426944 |