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

2019 ◽  
Author(s):  
Melanie Fachet ◽  
Carina Witte ◽  
Robert J Flassig ◽  
Liisa K. Rihko-Struckmann ◽  
Zaid McKie-Krisberg ◽  
...  

Abstract Background The green microalga Dunaliella salina accumulates a high proportion of beta-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. 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 new tool to interrogate and better understand 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.

2019 ◽  
Author(s):  
Melanie Fachet ◽  
Carina Witte ◽  
Robert J Flassig ◽  
Liisa K. Rihko-Struckmann ◽  
Zaid McKie-Krisberg ◽  
...  

Abstract Background The green microalga Dunaliella salina accumulates a high proportion of beta-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. 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 new tool to interrogate and better understand 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.


2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Melanie Fachet ◽  
Carina Witte ◽  
Robert J. Flassig ◽  
Liisa K. Rihko-Struckmann ◽  
Zaid McKie-Krisberg ◽  
...  

Abstract 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 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.


2021 ◽  
Vol 141 ◽  
pp. 373-382
Author(s):  
Arezoo Keramati ◽  
Farshid Pajoum Shariati ◽  
Omid Tavakoli ◽  
Zahra Akbari ◽  
Mina Rezaei

2019 ◽  
Vol 105 ◽  
pp. 64-71 ◽  
Author(s):  
Kristopher D. Rawls ◽  
Bonnie V. Dougherty ◽  
Edik M. Blais ◽  
Ethan Stancliffe ◽  
Glynis L. Kolling ◽  
...  

2012 ◽  
Vol 162 (1) ◽  
pp. 21-27 ◽  
Author(s):  
Packo P. Lamers ◽  
Marcel Janssen ◽  
Ric C.H. De Vos ◽  
Raoul J. Bino ◽  
René H. Wijffels

2014 ◽  
Vol 13 (1) ◽  
pp. 3 ◽  
Author(s):  
Weiqi Fu ◽  
Giuseppe Paglia ◽  
Manuela Magnúsdóttir ◽  
Elín A Steinarsdóttir ◽  
Steinn Gudmundsson ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document