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IJESD 2017 Vol.8(1): 10-14 ISSN: 2010-0264
doi: 10.18178/ijesd.2017.8.1.912
doi: 10.18178/ijesd.2017.8.1.912
Bioinformatics Approaches for Improvement of Biohydrogen Production: A Review
Muhammad Jawed, Wang Jun, Pi Jian, Xu Li, and Yunjun Yan
Abstract—Hydrogen (H2) production from biomass is considered as the main source of renewable energy, is a characteristic feature of prokaryotes. H2 is believed as the cleanest fuel without evolution of greenhouse gases on combustion. The main biological processes for H2 production are: biophotolysis of water by algae and cyanobacteria, dark fermentation and photo-fermentation. Since last decades, a lot of work has been carried out for understanding and refining bio-hydrogen production and still it has to overcome some of the serious limitations so that it becomes a viable proposal. The bottlenecks include thermodynamic inefficiency, trouble in using lignocellulosics as feedstock, cost of raw material and low H2 molar yields (HMY). To get rid of these major problems, the conventional approach is inadequate and people has to dynamically think modern bioinformatics approaches to overcome these factors. The accessibility of enormous sequenced genomes, functional genomic studies, and the progress of in-silico models at the genome level, metabolic pathway reconstruction, and synthetic biology tactics predict engineering strategies to enhance H2 production in an organism. This review examines the current status and progressions that have been made in the area of biotechnology and bioinformatics, to understand and enhance H2 evolution to overcome current limitations and make H2 production from biological means, a reality in the coming future.
Index Terms—Biohydrogen, in-silico metabolic engineering, functional genomics, synthetic biology.
The authors are with the Key Laboratory of Molecular Biophysics, the Ministry of Education, Huazhong University of Science and Technology, Wuhan 430074, PR China (e-mail: Dr_jawed@hust.edu.cn, yanyunjun@hust.edu.cn, 1018497090@qq.com, xuli@hust.edu.cn, yanyunjun@hust.edu.cn).
Index Terms—Biohydrogen, in-silico metabolic engineering, functional genomics, synthetic biology.
The authors are with the Key Laboratory of Molecular Biophysics, the Ministry of Education, Huazhong University of Science and Technology, Wuhan 430074, PR China (e-mail: Dr_jawed@hust.edu.cn, yanyunjun@hust.edu.cn, 1018497090@qq.com, xuli@hust.edu.cn, yanyunjun@hust.edu.cn).
Cite: Muhammad Jawed, Wang Jun, Pi Jian, Xu Li, and Yunjun Yan, "Bioinformatics Approaches for Improvement of Biohydrogen Production: A Review," International Journal of Environmental Science and Development vol. 8, no. 1, pp. 10-14, 2017.
