This review will detail the motivations, experimental approaches, and growing list of successful cases associated with the heterologous production of complex natural products.

6-Deoxyerythronolide B (6dEB) is the macrocyclic aglycone precursor of the antibiotic natural product erythromycin. Heterologous production of 6dEB in Escherichia coli was accomplished, in part, by designed over-expression of a native prpE gene (encoding a propionyl-CoA synthetase) and heterologous pcc genes (encoding a propionyl-CoA carboxylase) to supply the needed propionyl-CoA and (2S)-methylmalonyl-CoA biosynthetic substrates. Separate E. coli metabolism includes three enzymes, Sbm (a methylmalonyl-CoA mutase), YgfG (a methylmalonyl-CoA decarboxylase), and YgfH (a propionyl-CoA:succinate CoA transferase), also involved in propionyl-CoA and methylmalonyl-CoA metabolism. In this study, the sbm, ygfG, and ygfH genes were individually deleted and over-expressed to investigate their effect on heterologous 6dEB production. Our results indicate that the deletion and over-expression of sbm did not influence 6dEB production; ygfG over-expression reduced 6dEB production by fourfold while ygfH deletion increased 6dEB titers from 65 to 129 mg/L in shake flask experiments. It was also found that native E. coli metabolism could support 6dEB biosynthesis in the absence of exogenous propionate and the substrate provision pcc genes. Lastly, the effect of the ygfH deletion was tested in batch bioreactor cultures in which 6dEB titers improved from 206 to 527 mg/L.

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An S-adenosylmethionine synthetase gene (metK) from Streptomyces spectabilis was cloned into an expression plasmid under the control of an inducible T7 promoter and introduced into a strain of Escherichia coli (BAP1(pBP130/pBP144)) capable of producing the polyketide product 6-deoxyerythronolide B (6-dEB). The metK coexpression in BAP1(pBP130/pBP144) improved the specific production of 6-dEB from 10.86 to 20.08 mg l(-1) OD(600)(-1). In an effort to probe the reason for this improvement, a series of gene deletion and expression experiments were conducted based on a metK metabolic pathway that branches between propionyl-CoA (a 6-dEB precursor) and autoinducer compounds. The deletion and expression studies suggested that the autoinducer pathway had a larger impact on improved 6-dEB biosynthesis. Supporting these results were experiments demonstrating the positive effect conditioned media (the suspected location of the autoinducer compounds) had on 6-dEB production. Taken together, the results of this study show an increase in heterologous 6-dEB production concomitant with heterologous metK gene expression and suggest that the mechanism for this improvement is linked to native autoinducer compounds.

Taxa-4(5),11(12)-diene is the first dedicated intermediate in the metabolic pathway responsible for synthesizing the anticancer compound Taxol. In this study, the heterologous production of taxadiene was established in and analyzed between K- and B-derived Escherichia coli strains. First, recombinant parameters associated with precursor metabolism (the upstream methylerythritol phosphate (MEP) pathway) and taxadiene biosynthesis (the downstream pathway) were varied to probe the effect different promoters and cellular backgrounds have on taxadiene production. Specifically, upstream MEP pathway genes responsible for the taxadiene precursors, dimethylallyl diphosphate and isopentenyl diphosphate, were tested with an inducible T7 promoter system within K and B E. coli strains. Whereas, inducible T7, Trc, and T5 promoters were tested with the plasmid-borne geranylgeranyl diphosphate synthase and taxadiene synthase genes responsible for the downstream pathway. The K-derivative produced taxadiene roughly 2.5-fold higher than the B-derivative. A transcriptomics study revealed significant differences in pyruvate metabolism between the K and B strains, providing insight into the differences observed in taxadiene biosynthesis and targets for future metabolic engineering efforts. Next, the effect of temperature on cell growth and taxadiene production was analyzed in these two strains, revealing similar phenotypes between the two with 22°C as the optimal production temperature. Lastly, the effect of indole on cell growth was investigated between the two strains, showing that the K-derivative demonstrated greater growth inhibition compared to the B-derivative.

Aims:  This paper utilized quantitative LC‐MS/MS to profile the short‐chain acyl‐CoA levels of several strains of Escherichia coli engineered for heterologous polyketide production. To further compare and potentially expand the levels of available acyl‐CoA molecules, a propionyl‐CoA synthetase gene from Ralstonia solanacearum (prpE‐RS) was synthesized and expressed in the engineered strain BAP1. Methods and Results:  Upon feeding propionate, the engineered E. coli strains had increased the levels of both propionyl‐ and methylmalonyl‐CoA of 6‐ to 30‐fold and 3·7‐ to 6·8‐fold, respectively. Expression of prpE‐RS resulted in no significant increases in acetyl‐, butyryl‐ and propionyl‐CoA when fed the corresponding substrates (sodium acetate, butyrate or propionate). More interesting, however, were the results from strain BAP1 engineered for native prpE overexpression, which indicated increases in the same range of acyl‐CoA formation. Conclusions:  The increased acyl‐CoA levels across the strains profiled in this study reflect the genetic modifications implemented for improved polyketide production and also indicate flexibility of the native PrpE. Significance and Impact of the Study:  The results provide direct evidence of enhanced acyl‐CoA levels correlating to those strains engineered for polyketide biosynthesis. This information and the inherent flexibility of the native PrpE enzyme support future efforts to characterize, engineer and extend acyl‐CoA precursor supply for additional heterologous biosynthetic attempts.

Taxadiene is the first dedicated intermediate in the biosynthetic pathway of the anticancer compound Taxol. Recent studies have taken advantage of heterologous hosts to produce taxadiene and other isoprenoid compounds, and such ventures now offer research opportunities that take advantage of the engineering tools associated with the surrogate host. In this study, metabolic engineering was applied in the context of over-expression targets predicted to improve taxadiene production. Identified targets included genes both within and outside of the isoprenoid precursor pathway. These targets were then tested for experimental over-expression in a heterologous Escherichia coli host designed to support isoprenoid biosynthesis. Results confirmed the computationally predicted improvements and indicated a synergy between targets within the expected isoprenoid precursor pathway and those outside this pathway. The presented algorithm is broadly applicable to other host systems and/or product choices.

BackgroundMicrobial hosts offer a number of unique advantages when used as production systems for both native and heterologous small-molecules. These advantages include high selectivity and benign environmental impact; however, a principal drawback is low yield and/or productivity, which limits economic viability. Therefore a major challenge in developing a microbial production system is to maximize formation of a specific product while sustaining cell growth. Tools to rationally reconfigure microbial metabolism for these potentially conflicting objectives remain limited. Exhaustively exploring combinations of genetic modifications is both experimentally and computationally inefficient, and can become intractable when multiple gene deletions or insertions need to be considered. Alternatively, the search for desirable gene modifications may be solved heuristically as an evolutionary optimization problem. In this study, we combine a genetic algorithm and elementary mode analysis to develop an optimization framework for evolving metabolic networks with energetically favorable pathways for production of both biomass and a compound of interest.ResultsUtilization of thermodynamically-weighted elementary modes for flux reconstruction of E. coli central metabolism revealed two clusters of EMs with respect to their ΔGp°. For proof of principle testing, the algorithm was applied to ethanol and lycopene production in E. coli. The algorithm was used to optimize product formation, biomass formation, and product and biomass formation simultaneously. Predicted knockouts often matched those that have previously been implemented experimentally for improved product formation. The performance of a multi-objective genetic algorithm showed that it is better to couple the two objectives in a single objective genetic algorithm.ConclusionA computationally tractable framework is presented for the redesign of metabolic networks for maximal product formation combining elementary mode analysis (a form of convex analysis), pathway thermodynamics, and a genetic algorithm to optimize the production of two industrially-relevant products, ethanol and lycopene, from E. coli. The designed algorithm can be applied to any small-scale model of cellular metabolism theoretically utilizing any substrate and applied towards the production of any product.