The present invention relates to a method for the production of n-butanol using a transgenic cell with heterologous expression of 2-hydroxyglutarate dehydrogenase, glutaconate-CoA transferase, (R)-2-hydroxyglutaryl-CoA dehydrogenase, glutaryl CoA dehydrogenase, trans- 2-enoyl-CoA reductase (NAD+) and bifunctional aldehyde / alcohol dehydrogenase (NAD+).
Background One of the European Union directives indicates that 10% of all fuels must be bio-synthesized by 2020. In this regard, biobutanolnatively produced by clostridial strainsposes as a promising alternative biofuel. One possible approach to overcome the difficulties of the industrial exploration of the native producers is the expression of more suitable pathways in robust microorganisms such as Escherichia...
Metabolism has been a major field of study in the last years, mainly due to its importance in understanding cell physiology and certain disease phenotypes due to its deregulation. Genome-scale metabolic models (GSMMs) have been established as important tools to help achieve a better understanding of human metabolism. Towards this aim, advances in systems biology and bioinformatics have allowed the reconstructio...
Metabolic engineering exploits microorganisms to build cell factories, allowing to produce valuable compounds from their enzymatic machinery. It involves the selection of an organism, along with a set of genetic modifications to optimize the process. Information regarding biological mechanisms are scattered among the literature. Metabolic databases provide a centralized platform compiling existing biological da...
Metabolic models generated by automated reconstruction pipelines are widely used for high-throughput prediction of microbial phenotypes. However, the generation of accurate in-silico phenotype predictions based solely on genomic data continues to be a challenge as metabolic models often require extensive gapfilling in order to produce biomass. As a result, the true physiological profile of an organism can be al...
Metabolic Engineering targets the microorganism's cellular metabolism to design new strains with an industrial purpose. Applications of these metabolic manipulations in Biotechnological derive from the need of enhanced production of valuable compounds. The development of in silico metabolic models proposes a quantifiable approach for the manipulation these microorganisms. In this context, constraint based model...