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Current Metabolomics


ISSN (Print): 2213-235X
ISSN (Online): 2213-2368

Systems and Synthetic Biology for the Microbial Production of Biofuels

Author(s): Amit Ghosh

Volume 4 , Issue 1 , 2016

Page: [5 - 13] Pages: 9

DOI: 10.2174/2213235X03666151012192823

Price: $65


Background: Rising costs and a depleting supply of oil, as well as environmental concerns, have led to strong interest in renewable fuels and chemicals. In the last decade, there was considerable interest for microbial production of biofuels by metabolic engineering approach as an attractive alternative to transportation fuels. This review is aimed to provide details of different biosynthetic pathways for microbial production of biofuels.

Methods: Recent advancements of synthetic biology have led to the further development of genetic engineering of microorganism, which has been great motivation for developing strategy for microbial production of biofuels. Rational design of metabolism is very important for production of biofuels. In silico prediction of metabolic flux distribution of the metabolic pathways enabled us to decide the time consuming steps in metabolic engineering.

Results: In recent years significant efforts have been made to engineer microorganisms to produce bioethanol, higher chain alcohols, fatty acids and isoprenoid based biodiesel. Metabolic engineering involves improvement of biofuels formation through the modification of specific genes or addition new genes involved in biochemical reactions with the use of recombinant DNA technology. System-level approach to analyze and engineer metabolism based on flux distributions obtained from metabolomics and 13C metabolic flux analysis have been extensively used to produce biofuels in Escherichia coli and yeast.

Conclusion: The biofuels obtained from microorganisms can be used as renewable resource for gasoline, diesel and jet fuel. The development of renewable bioenergy will significantly reduce our dependence on fossil fuels for elegantly safer environment.

Keywords: 13C metabolic flux analysis, advanced biofuels, metabolic engineering, Saccharomyces cerevisiae, systems biology.

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