Abstract
Today, a large range of software programmes are used in the field of metabolic engineering. Such applications were shaped to provide support for a variety of experimental and analytical practices. Bioinformatics is used all over the metabolic engineering approach to separate as well as evaluate useful data derived from enormous data volumes. In the current state of renewable energy, which is fixated on the expansion of alternative and sustainable sources of energy, microalgae are at the top of the list as the most capable feedstocks for the manufacturing of biofuels. However, the complexity of microalgal culture, which involves collecting, concentrating, drying, and extraction of lipids, is the main barrier to the switch to algae-based biofuel production. Triacylglycerols (TAGs), the main building blocks for lipid synthesis, are stored by a number of green microalgae. It has been discovered that novel metabolically important genes exist in oleaginous microalga like Chlamydomonas reinhardtii, etc., which would improve lipid production in these microalgae. An interactive perspective on enhancing lipid synthesis, which ultimately enhances oil production, is provided by several additional components of metabolic engineering employing OptFlux and effective bioprocess design. The main goal of this research is to use metabolic engineering and reaction engineering techniques to examine the ability of microalgae to generate increased bio-oil.
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Mahmood, Z., Nigam, M., Singh, L.K. (2024). Metabolic Engineering of Lipid Biosynthesis Pathway to Enhance the Oil Content in Microalgae. In: Dhagat, S., Jujjavarapu, S.E., Sampath Kumar, N., Mahapatra, C. (eds) Recent Advances in Bioprocess Engineering and Bioreactor Design. Springer, Singapore. https://doi.org/10.1007/978-981-97-1451-3_3
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