M-path: a compass for navigating potential metabolic pathways.

MOTIVATION: Construction of synthetic metabolic pathways promises sustainable production of diverse chemicals and materials. To design synthetic metabolic pathways of high value, computational methods are needed to expand present knowledge by mining comprehensive chemical and enzymatic information databases. Several computational methods have been already reported for the metabolic pathway design, but until now computation complexity has limited the diversity of chemical and enzymatic data used. RESULTS: We introduce a computational platform, M-path, to explore synthetic metabolic pathways including putative enzymatic reactions and compounds. M-path is an iterative random algorithm, which makes efficient use of chemical and enzymatic databases to find potential synthetic metabolic pathways. M-path can readily control the search space and perform well compared with exhaustively enumerating possible pathways. A web-based pathway viewer is also developed to check extensive metabolic pathways with evaluation scores on the basis of chemical similarities. We further produce extensive synthetic metabolic pathways for a comprehensive set of alpha amino acids. The scalable nature of M-path enables us to calculate potential metabolic pathways for any given chemicals.

Characterization of lycopene-overproducing E. coli strains in high cell density fermentations.

Previous work identified two recombinant strains of Escherichia coli capable of significant lycopene overproduction. These strains were constructed by superimposing the deletion of three genes, selected through combinatorial and systematic searches of the metabolic landscape, onto a previously engineered strain over-expressing critical genes in the lycopene biosynthesis pathway. In this paper, we characterize the performance of these two strains in comparison to the parental, pre-engineered strain. Specifically, high cell density fermentations were performed after identifying optimized putative operating parameters. High oxygen levels and increased pH values were found to be critical for increasing both specific and volumetric product titers. Carbon balances suggest linkages between glutamate, NADPH, formate, and alanine levels with lycopene overproduction. Furthermore, lycopene production reached nearly 220 mg/l from approximately 27 g dry cell weight/l in these reactors, which is the highest value reported to date for E. coli.

Construction of lycopene-overproducing E. coli strains by combining systematic and combinatorial gene knockout targets.

Identification of genes that affect the product accumulation phenotype of recombinant strains is an important problem in industrial strain construction and a central tenet of metabolic engineering. We have used systematic (model-based) and combinatorial (transposon-based) methods to identify gene knockout targets that increase lycopene biosynthesis in strains of Escherichia coli. We show that these two search strategies yield two distinct gene sets, which affect product synthesis either through an increase in precursor availability or through (largely unknown) kinetic or regulatory mechanisms, respectively. Exhaustive exploration of all possible combinations of the above gene sets yielded a unique set of 64 knockout strains spanning the metabolic landscape of systematic and combinatorial gene knockout targets. This included a global maximum strain exhibiting an 8.5-fold product increase over recombinant K12 wild type and a twofold increase over the engineered parental strain. These results were further validated in controlled culture conditions.