Cyanobacterial biofuels: Strategies and developments on network and modeling
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Author list: Klanchui A., Raethong N., Prommeenate P., Vongsangnak W., Meechai A.
Publisher: Springer Verlag Kg
Publication year: 2017
Journal: Advances in Biochemical Engineering Biotechnology (0724-6145)
Volume number: 160
Start page: 75
End page: 102
Number of pages: 28
ISBN: 978-3-319-56459-3
ISSN: 0724-6145
Languages: English-Great Britain (EN-GB)
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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. ฉ 2016, Springer International Publishing Switzerland.
Keywords
Systems metabolic engineering
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