Reconstruction and verification of a genome-scale metabolic model for <Emphasis Type="Italic">Synechocystis</Emphasis> sp. PCC6803 |
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Authors: | Katsunori Yoshikawa Yuta Kojima Tsubasa Nakajima Chikara Furusawa Takashi Hirasawa Hiroshi Shimizu |
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Institution: | (1) Department of Bioinformatic Engineering, Graduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita Osaka, 565-0871, Japan;(2) Japan Science and Technology Agency (JST), Core Research for Evolutional Science and Technology (CREST), Osaka University, 1-5 Yamadaoka, Suita Osaka, 565-0871, Japan; |
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Abstract: | In terms of generating sustainable energy resources, the prospect of producing energy and other useful materials using cyanobacteria
has been attracting increasing attention since these processes require only carbon dioxide and solar energy. To establish
production processes with a high productivity, in silico models to predict the metabolic activity of cyanobacteria are highly
desired. In this study, we reconstructed a genome-scale metabolic model of the cyanobacterium Synechocystis sp. PCC6803, which included 465 metabolites and 493 metabolic reactions. Using this model, we performed constraint-based
metabolic simulations to obtain metabolic flux profiles under various environmental conditions. We evaluated the simulated
results by comparing these with experimental results from 13C-tracer metabolic flux analyses, which were obtained under heterotrophic and mixotrophic conditions. There was a good agreement
of simulation and experimental results under both conditions. Furthermore, using our model, we evaluated the production of
ethanol by Synechocystis sp. PCC6803, which enabled us to estimate quantitatively how its productivity depends on the environmental conditions. The
genome-scale metabolic model provides useful information for the evaluation of the metabolic capabilities, and prediction
of the metabolic characteristics, of Synechocystis sp. PCC6803. |
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