Rewiring of metabolic pathways in yeasts for sustainable production of biofuels.

The ever-increasing global energy demand has led world towards negative repercussions such as depletion of fossil fuels, pollution, global warming and climate change. Designing microbial cell factories for the sustainable production of biofuels is therefore an active area of research. Different yeast cells have been successfully engineered using synthetic biology and metabolic engineering approaches for the production of various biofuels. In the present article, recent advancements in genetic engineering strategies for production of bioalcohols, isoprenoid-based biofuels and biodiesels in different yeast chassis designs are reviewed, along with challenges that must be overcome for efficient and high titre production of biofuels.

Genetic engineering of the branched fatty acid metabolic pathway of Bacillus subtilis for the overproduction of surfactin C14 isoform.

Surfactin, a lipopeptide produced by Bacillus subtilis, is one of the most powerful biosurfactants known. This molecule consists of a cyclic heptapeptide linked to a ß-hydroxy fatty acid chain. The isomery and the length of the fatty acid (FA) chain are responsible for the surfactin's activities. In this study, the gene codY, which encode for the global transcriptional regulator and the gene lpdV, located in the bkd operon (lpdV, bkdAA, bkdAB and bkdB genes), which is responsible for the last step of the branched chain amino acid (BCAA) degradation in acyl-CoA were deleted. The influence of these deletions on the quantitative and qualitative surfactin production was analysed. The surfactin production was quantified by RP-HPLC and the surfactin isoforms were characterized using LC-MS-MS and GC-MS analysis. The results obtained in the mutants showed an enhancement of surfactin specific production by a factor of 5.8 for the codY mutant and 1.4 for lpdV mutant. Moreover qualitative analysis of the lpdV mutant reveals that it mainly produced surfactin C14 isoform (2 fold more than the wild type) with linear FA chain. Complete analysis of the extracellular metabolites using 1 H quantitative NMR reveals a reduced production of acetoin in this mutant. This work demonstrates for the first time an original approach to overproduce specifically surfactin with C14 FA chain.

Modeling leucine's metabolic pathway and knockout prediction improving the production of surfactin, a biosurfactant from Bacillus subtilis.

A Bacillus subtilis mutant strain overexpressing surfactin biosynthetic genes was previously constructed. In order to further increase the production of this biosurfactant, our hypothesis is that the surfactin precursors, especially leucine, must be overproduced. We present a three step approach for leucine overproduction directed by methods from computational biology. Firstly, we develop a new algorithm for gene knockout prediction based on abstract interpretation, which applies to a recent modeling language for reaction networks with partial kinetic information. Secondly, we model the leucine metabolic pathway as a reaction network in this language, and apply the knockout prediction algorithm with the target of leucine overproduction. Out of the 21 reactions corresponding to potential gene knockouts, the prediction algorithm selects 12 reactions. Six knockouts were introduced in B. subtilis 168 derivatives strains to verify their effects on surfactin production. For all generated mutants, the specific surfactin production is increased from 1.6- to 20.9-fold during the exponential growth phase, depending on the medium composition. These results show the effectiveness of the knockout prediction approach based on formal models for metabolic reaction networks with partial kinetic information, and confirms our hypothesis that precursors supply is one of the main parameters to optimize surfactin overproduction.