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Reconstruction and analysis of a carbon-core metabolic network for Dunaliella salina

BACKGROUND: The green microalga Dunaliella salina accumulates a high proportion of β-carotene during abiotic stress conditions. To better understand the intracellular flux distribution leading to carotenoid accumulation, this work aimed at reconstructing a carbon core metabolic network for D. salina...

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Autores principales: Fachet, Melanie, Witte, Carina, Flassig, Robert J., Rihko-Struckmann, Liisa K., McKie-Krisberg, Zaid, Polle, Jürgen E. W., Sundmacher, Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6941287/
https://www.ncbi.nlm.nih.gov/pubmed/31898485
http://dx.doi.org/10.1186/s12859-019-3325-0
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author Fachet, Melanie
Witte, Carina
Flassig, Robert J.
Rihko-Struckmann, Liisa K.
McKie-Krisberg, Zaid
Polle, Jürgen E. W.
Sundmacher, Kai
author_facet Fachet, Melanie
Witte, Carina
Flassig, Robert J.
Rihko-Struckmann, Liisa K.
McKie-Krisberg, Zaid
Polle, Jürgen E. W.
Sundmacher, Kai
author_sort Fachet, Melanie
collection PubMed
description BACKGROUND: The green microalga Dunaliella salina accumulates a high proportion of β-carotene during abiotic stress conditions. To better understand the intracellular flux distribution leading to carotenoid accumulation, this work aimed at reconstructing a carbon core metabolic network for D. salina CCAP 19/18 based on the recently published nuclear genome and its validation with experimental observations and literature data. RESULTS: The reconstruction resulted in a network model with 221 reactions and 212 metabolites within three compartments: cytosol, chloroplast and mitochondrion. The network was implemented in the MATLAB toolbox CellNetAnalyzer and checked for feasibility. Furthermore, a flux balance analysis was carried out for different light and nutrient uptake rates. The comparison of the experimental knowledge with the model prediction revealed that the results of the stoichiometric network analysis are plausible and in good agreement with the observed behavior. Accordingly, our model provides an excellent tool for investigating the carbon core metabolism of D. salina. CONCLUSIONS: The reconstructed metabolic network of D. salina presented in this work is able to predict the biological behavior under light and nutrient stress and will lead to an improved process understanding for the optimized production of high-value products in microalgae.
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spelling pubmed-69412872020-01-06 Reconstruction and analysis of a carbon-core metabolic network for Dunaliella salina Fachet, Melanie Witte, Carina Flassig, Robert J. Rihko-Struckmann, Liisa K. McKie-Krisberg, Zaid Polle, Jürgen E. W. Sundmacher, Kai BMC Bioinformatics Research Article BACKGROUND: The green microalga Dunaliella salina accumulates a high proportion of β-carotene during abiotic stress conditions. To better understand the intracellular flux distribution leading to carotenoid accumulation, this work aimed at reconstructing a carbon core metabolic network for D. salina CCAP 19/18 based on the recently published nuclear genome and its validation with experimental observations and literature data. RESULTS: The reconstruction resulted in a network model with 221 reactions and 212 metabolites within three compartments: cytosol, chloroplast and mitochondrion. The network was implemented in the MATLAB toolbox CellNetAnalyzer and checked for feasibility. Furthermore, a flux balance analysis was carried out for different light and nutrient uptake rates. The comparison of the experimental knowledge with the model prediction revealed that the results of the stoichiometric network analysis are plausible and in good agreement with the observed behavior. Accordingly, our model provides an excellent tool for investigating the carbon core metabolism of D. salina. CONCLUSIONS: The reconstructed metabolic network of D. salina presented in this work is able to predict the biological behavior under light and nutrient stress and will lead to an improved process understanding for the optimized production of high-value products in microalgae. BioMed Central 2020-01-02 /pmc/articles/PMC6941287/ /pubmed/31898485 http://dx.doi.org/10.1186/s12859-019-3325-0 Text en © Fachet et al. 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License(http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.
spellingShingle Research Article
Fachet, Melanie
Witte, Carina
Flassig, Robert J.
Rihko-Struckmann, Liisa K.
McKie-Krisberg, Zaid
Polle, Jürgen E. W.
Sundmacher, Kai
Reconstruction and analysis of a carbon-core metabolic network for Dunaliella salina
title Reconstruction and analysis of a carbon-core metabolic network for Dunaliella salina
title_full Reconstruction and analysis of a carbon-core metabolic network for Dunaliella salina
title_fullStr Reconstruction and analysis of a carbon-core metabolic network for Dunaliella salina
title_full_unstemmed Reconstruction and analysis of a carbon-core metabolic network for Dunaliella salina
title_short Reconstruction and analysis of a carbon-core metabolic network for Dunaliella salina
title_sort reconstruction and analysis of a carbon-core metabolic network for dunaliella salina
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6941287/
https://www.ncbi.nlm.nih.gov/pubmed/31898485
http://dx.doi.org/10.1186/s12859-019-3325-0
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