-
An improved genome-scale metabolic model of arthrospira platensis C1 (iAK888) and its application in glycogen overproduction
- Back
Metadata
Document Title
An improved genome-scale metabolic model of arthrospira platensis C1 (iAK888) and its application in glycogen overproduction
Author
Klanchui A., Dulsawat S., Chaloemngam K., Cheevadhanarak S., Prommeenate P., Meechai A.
Name from Authors Collection
Affiliations
Faculty of Engineering, King Mongkut’s University of Technology Thonburi, Bangkok, 10140, Thailand; Pilot Plant Development and Training Institute, King Mongkut’s University of Technology Thonburi (Bang Khun Thian), Bangkok, 10150, Thailand; Department of Chemical Engineering, Faculty of Engineering, King Mongkut’s University of Technology Thonburi, Bangkok, 10140, Thailand; Division of Biotechnology, School of Bioresources and Technology, King Mongkut’s University of Technology Thonburi, Bangkok, 10150, Thailand; Biochemical Engineering and Pilot Plant Research and Development (BEC) Unit, National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, King Mongkut’s University of Technology Thonburi, Bangkok, 10150, Thailand
Type
Article
Source Title
Metabolites
ISSN
22181989
Year
2018
Volume
8
Issue
4
Open Access
All Open Access, Gold, Green
Publisher
MDPI AG
DOI
10.3390/metabo8040084
Format
Abstract
Glycogen-enriched biomass of Arthrospira platensis has increasingly gained attention as a source for bioethanol production. To study the metabolic capabilities of glycogen production in A. platensis C1, a genome-scale metabolic model (GEM) could be a useful tool for predicting cellular behavior and suggesting strategies for glycogen overproduction. New experimentally validated GEM of A. platensis C1 namely iAK888, which has improved metabolic coverage and functionality was employed in this research. The iAK888 is a fully functional compartmentalized GEM consisting of 888 genes, 1,096 reactions, and 994 metabolites. This model was demonstrated to reasonably predict growth and glycogen fluxes under different growth conditions. In addition, iAK888 was further employed to predict the effect of deficiencies of NO 3 − , PO 4 3− , or SO 4 2− on the growth and glycogen production in A. platensis C1. The simulation results showed that these nutrient limitations led to a decrease in growth flux and an increase in glycogen flux. The experiment of A. platensis C1 confirmed the enhancement of glycogen fluxes after the cells being transferred from normal Zarrouk’s medium to either NO 3 − , PO 4 3− , or SO 4 2− -free Zarrouk’s media. Therefore, iAK888 could be served as a predictive model for glycogen overproduction and a valuable multidisciplinary tool for further studies of this important academic and industrial organism. © 2018, MDPI AG. All rights reserved.
Glycogen-enriched biomass of Arthrospira platensis has increasingly gained attention as a source for bioethanol production. To study the metabolic capabilities of glycogen production in A. platensis C1, a genome-scale metabolic model (GEM) could be a useful tool for predicting cellular behavior and suggesting strategies for glycogen overproduction. New experimentally validated GEM of A. platensis C1 namely iAK888, which has improved metabolic coverage and functionality was employed in this research. The iAK888 is a fully functional compartmentalized GEM consisting of 888 genes, 1,096 reactions, and 994 metabolites. This model was demonstrated to reasonably predict growth and glycogen fluxes under different growth conditions. In addition, iAK888 was further employed to predict the effect of deficiencies of NO 3 − , PO 4 3− , or SO 4 2− on the growth and glycogen production in A. platensis C1. The simulation results showed that these nutrient limitations led to a decrease in growth flux and an increase in glycogen flux. The experiment of A. platensis C1 confirmed the enhancement of glycogen fluxes after the cells being transferred from normal Zarrouk’s medium to either NO 3 − , PO 4 3− , or SO 4 2− -free Zarrouk’s media. Therefore, iAK888 could be served as a predictive model for glycogen overproduction and a valuable multidisciplinary tool for further studies of this important academic and industrial organism. © 2018, MDPI AG. All rights reserved.
Funding Sponsor
National Science and Technology Development Agency; King Mongkut's University of Technology Thonburi; National Center for Genetic Engineering and Biotechnology
License
CC BY
Rights
Author
Publication Source
Scopus