title: Cyanobacterial Biofuels: Strategies and Developments on Network and Modeling.
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.
authors: Biological Engineering Program, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok, 10140, Thailand.
authors: Amornpan
authors: A
authors: Klanchui
authors: Interdisciplinary Graduate Program in Bioscience, Faculty of Science, Kasetsart University, Bangkok, 10900, Thailand.
authors: Nachon
authors: N
authors: Raethong
authors: 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.
authors: Peerada
authors: P
authors: Prommeenate
authors: Department of Zoology, Faculty of Science, Kasetsart University, Bangkok, 10900, Thailand.|Computational Biomodelling Laboratory for Agricultural Science and Technology (CBLAST), Faculty of Science, Kasetsart University, Bangkok, 10900, Thailand.
authors: Wanwipa
authors: W
authors: Vongsangnak
authors: Department of Chemical Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi, Bangkok, 10140, Thailand. asawin.mee@kmutt.ac.th.
authors: Asawin
authors: A
authors: Meechai
mesh_terms: D001426:Bacterial Proteins / Q000502:physiology*; D056804:Biofuels / Q000382:microbiology*; D003198:Computer Simulation; D000458:Cyanobacteria / Q000145:classification / Q000502:physiology*; D024861:Genetic Enhancement / Q000379:methods*; D053858:Metabolic Networks and Pathways / Q000502:physiology*; D008954:Models, Biological
chemical_list: D001426:Bacterial Proteins; D056804:Biofuels
keywords: Biofuels; Cyanobacteria; Genome-scale metabolic model; Metabolic network reconstruction; Systems metabolic engineering