Abstract
Renewable energy sources are being found around the world which replaces the increasing demand and using up of fossil fuels. Many microalgae species generate necessary and sufficient quantities of polysaccharides, hydrocarbons, and other useful products. However, in comparison to non-renewable production from fossil fuels, the manufacturing of large-scale algal products is not a simple process. It has been seen that microalgae is naturally to be more effective in producing compounds that can replace fossil fuels. However, to make the process economically feasible, it requires optimization of the strains through genetic engineering and systems biology tools. The strain improvement can also be done with the help of metabolic engineering which is part of microbial biotechnology, which may enhance the productivity of the microorganism. Recently bioinformatics and systems biology tools explored the algal genome sequencing which can also help us to deeply understand the metabolic system of the algae to produce the renewable compounds and to optimize biofuel production. The present review article focused on major computational tools and approaches developed can encourage us to identify target genes, pathways, and reactions of particular interest to biofuel production in algae. Since the use of these tools and methods in algal biofuel studies has not been completely adopted, the aim of this review is to discuss how to utilize the system biology approach and metabolic engineering for future implementation in algal research in the production of algal biofuel.
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Kirtipal, N., Shanker, A. (2020). Integrating Omics and Microbial Biotechnology for the Production of Biofuel. In: Kumar, N. (eds) Biotechnology for Biofuels: A Sustainable Green Energy Solution. Springer, Singapore. https://doi.org/10.1007/978-981-15-3761-5_9
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