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Network Biology pp 75–102Cite as

Cyanobacterial Biofuels: Strategies and Developments on Network and Modeling

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Part of the book series: Advances in Biochemical Engineering/Biotechnology ((ABE,volume 160))

Abstract

Cyanobacteria, the phototrophic microorganisms, have attracted much attention recently as a promising source for environmentally sustainable biofuels production. However, barriers for commercial markets of cyanobacteria-based biofuels concern the economic feasibility. Miscellaneous strategies for improving the production performance of cyanobacteria have thus been developed. Among these, the simple ad hoc strategies resulting in failure to optimize fully cell growth coupled with desired product yield are explored. With the advancement of genomics and systems biology, a new paradigm toward systems metabolic engineering has been recognized. In particular, a genome-scale metabolic network reconstruction and modeling is a crucial systems-based tool for whole-cell-wide investigation and prediction. In this review, the cyanobacterial genome-scale metabolic models, which offer a system-level understanding of cyanobacterial metabolism, are described. The main process of metabolic network reconstruction and modeling of cyanobacteria are summarized. Strategies and developments on genome-scale network and modeling through the systems metabolic engineering approach are advanced and employed for efficient cyanobacterial-based biofuels production.

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Acknowledgements

The authors acknowledge the financial support provided by King Mongkut’s University of Technology Thonburi through the ‘KMUTT 55th Anniversary Commemorative Fund’, the National Center for Genetic Engineering and Biotechnology (BIOTEC), NSTDA, Thailand (P-11-01089), Science Achievement Scholarship of Thailand (SAST), The Thailand Research Fund (TRG5880245), and Preproposal Research Fund (PRF4/2558 and PRF-PII/59) and Department of Zoology, Faculty of Science, Kasetsart University.

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Authors and Affiliations

  1. Biological Engineering Program, Faculty of Engineering, King Mongkut’s University of Technology Thonburi, Bangkok, 10140, Thailand

    Amornpan Klanchui

  2. Interdisciplinary Graduate Program in Bioscience, Faculty of Science, Kasetsart University, Bangkok, 10900, Thailand

    Nachon Raethong

  3. 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

    Peerada Prommeenate

  4. Department of Zoology, Faculty of Science, Kasetsart University, Bangkok, 10900, Thailand

    Wanwipa Vongsangnak

  5. Computational Biomodelling Laboratory for Agricultural Science and Technology (CBLAST), Faculty of Science, Kasetsart University, Bangkok, 10900, Thailand

    Wanwipa Vongsangnak

  6. Department of Chemical Engineering, Faculty of Engineering, King Mongkut’s University of Technology Thonburi, Bangkok, 10140, Thailand

    Asawin Meechai

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  1. Amornpan Klanchui
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  2. Nachon Raethong
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  4. Wanwipa Vongsangnak
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  5. Asawin Meechai
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Correspondence to Asawin Meechai .

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  1. Department of Biomedical Informatics, College of Medicine, University of Arkansas for Medical Science, Little Rock, Arkansas, USA

    Intawat Nookaew

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Klanchui, A., Raethong, N., Prommeenate, P., Vongsangnak, W., Meechai, A. (2016). Cyanobacterial Biofuels: Strategies and Developments on Network and Modeling. In: Nookaew, I. (eds) Network Biology. Advances in Biochemical Engineering/Biotechnology, vol 160. Springer, Cham. https://doi.org/10.1007/10_2016_42

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