Deregulation of S-adenosylmethionine biosynthesis and regeneration improves methylation in the E. coli de novo vanillin biosynthesis pathway
© Kunjapur et al. 2016
Received: 3 February 2016
Accepted: 28 March 2016
Published: 11 April 2016
Vanillin is an industrially valuable molecule that can be produced from simple carbon sources in engineered microorganisms such as Saccharomyces cerevisiae and Escherichia coli. In E. coli, de novo production of vanillin was demonstrated previously as a proof of concept. In this study, a series of data-driven experiments were performed in order to better understand limitations associated with biosynthesis of vanillate, which is the immediate precursor to vanillin.
Time-course experiments monitoring production of heterologous metabolites in the E. coli de novo vanillin pathway revealed a bottleneck in conversion of protocatechuate to vanillate. Perturbations in central metabolism intended to increase flux into the heterologous pathway increased average vanillate titers from 132 to 205 mg/L, but protocatechuate remained the dominant heterologous product on a molar basis. SDS-PAGE, in vitro activity measurements, and l-methionine supplementation experiments suggested that the decline in conversion rate was influenced more by limited availability of the co-substrate S-adenosyl-l-methionine (AdoMet or SAM) than by loss of activity of the heterologous O-methyltransferase. The combination of metJ deletion and overexpression of feedback-resistant variants of metA and cysE, which encode enzymes involved in SAM biosynthesis, increased average de novo vanillate titers by an additional 33 % (from 205 to 272 mg/L). An orthogonal strategy intended to improve SAM regeneration through overexpression of native mtn and luxS genes resulted in a 25 % increase in average de novo vanillate titers (from 205 to 256 mg/L). Vanillate production improved further upon supplementation with methionine (as high as 419 ± 58 mg/L), suggesting potential for additional enhancement by increasing SAM availability.
Results from this study demonstrate context dependency of engineered pathways and highlight the limited methylation capacity of E. coli. Unlike in previous efforts to improve SAM or methionine biosynthesis, we pursued two orthogonal strategies that are each aimed at deregulating multiple reactions. Our results increase the working knowledge of SAM biosynthesis engineering and provide a framework for improving titers of metabolic products dependent upon methylation reactions.
KeywordsE. coli Vanillin Methylation S-adenosylmethionine SAM AdoMet Methionine Deregulation Metabolic engineering
Few biological molecules are as widely savored by humans as vanillin. Vanillin is the dominant flavor constituent in natural vanilla extract and the most heavily used food additive for flavoring annually by volume [1, 2]. Vanillin also has a variety of industrial uses, including as an intermediate in the chemical and pharmaceutical industries for production of herbicides, antifoaming agents, and drugs . Biosynthesis of vanillin occurs naturally in the tropical vanilla orchid (Vanilla planifolia) and in trace amounts in other plants . In V. planifolia, vanillin forms inside inedible pods or beans from which it must be extracted. Vanilla beans are harvested roughly 6–8 months after pollination and are subject to a curing process that can take more than 6 months to complete . Inefficiencies stemming from V. planifolia cultivation are manifested in the high price of natural vanilla extract, which is estimated to be between $1000 and $4000 per kilogram . Given that, researchers have sought to develop biosynthetic routes to vanillin in other host organisms. Ideally, these heterologous hosts could produce vanillin from glucose as a sole carbon source (de novo biosynthesis) given the abundance and affordability of glucose relative to other potential substrates .
De novo vanillin biosynthesis has been demonstrated in two of the industrial biotechnology workhorse organisms: Saccharomyces cerevisiae (baker’s yeast)  and Escherichia coli . De novo production of vanillin in a heterologous host organism was first reported in both S. cerevisiae and Schizosaccharomyces pombe in 2009 . The engineered metabolic pathway in yeast featured three heterologous enzymes: a dehydroshikimate dehydratase, an O-methyltransferase, and a carboxylic acid reductase. This pathway is similar to the E. coli pathway engineered by Frost and co-workers in 1998 . The E. coli pathway was designed to produce vanillate in vivo using a heterologous dehydroshikimate dehydratase and O-methyltransferase. Subsequent reduction of purified vanillate into vanillin was catalyzed by a carboxylic acid reductase in vitro. The presumed rationale for the original two-stage vanillin pathway was that E. coli exhibits a high degree of aldehyde reductase activity catalyzed by numerous unknown endogenous enzymes, which would result in formation of vanillyl alcohol in vivo instead of vanillin. The problem of endogenous aromatic aldehyde reduction was recently addressed [5, 7], leading to a strain capable of accumulating aldehydes including vanillin (E. coli RARE, Addgene Catalog #61440). At that time, the de novo vanillin pathway was constructed in E. coli as one of two demonstrated and industrially relevant applications for the RARE strain.
When de novo biosynthesis was first reported in yeast and in E. coli, vanillin titers achieved were similarly low under comparable flask-scale conditions (65 mg/L in S. pombe supplied with yeast extract-based media  versus 119 or 56 mg/L in E. coli supplied with glucose in LB or M9 minimal media , respectively). Production of vanillin or vanillin-β-d-glucoside in yeast has since been enhanced [8, 9] and even commercialized by the company Evolva . Numerous differences between eukaryotic yeast and prokaryotic E. coli led us to suspect that similar de novo pathways might suffer from different host-dependent limitations. Metabolic engineering reviews that discuss host selection not only compare natural differences in metabolic fluxes and regulation across model organisms such as yeast and E. coli  but also highlight dissimilarities in these respects among different species of yeast  and even among different strains of E. coli .
Our findings indicate that limited availability of S-adenosylmethionine (SAM) represents a major hurdle to the improvement of vanillate titers from glucose as a sole carbon source in E. coli. To improve vanillate titers, we deregulate reactions in SAM biosynthesis and regeneration using two orthogonal strategies. Improvements in vanillate formation as a function of increased SAM availability have impact beyond the vanillin pathway given that SAM-dependent methyltransferases constitute a broad class of enzymes with potential for engineering numerous metabolic products [15, 16]. Our results increase the working knowledge of SAM biosynthesis engineering and provide a framework for improving titers of metabolic products dependent upon methylation reactions.
Time-course experiments monitoring heterologous metabolites reveal limitation in conversion of protocatechuate to vanillate
As a starting point for understanding pathway limitations, we sought to increase carbon flux entering the heterologous portion of the vanillate pathway (Fig. 1a). We hypothesized that increasing flux would facilitate the identification of pathway bottlenecks based on changes in titer (units of mg/L) and specific yields [units of g/gDCW (grams of dry cell weight)] of intermediate metabolites. In our previous demonstration of de novo vanillin biosynthesis, titers of all measured heterologous metabolites (protocatechuate, vanillate, protocatechualdehyde, and vanillin) were low, each less than 60 mg/L . Initially, we sought to achieve increased heterologous metabolite titers by targeting endogenous precursor biosynthesis genes for overexpression given that the first heterologous enzyme (AsbF Bt ) is reported to efficiently catalyze conversion of endogenous 3-dehydroshikimate into protocatechuate .
The heterologous vanillate pathway branches from endogenous aromatic amino acid biosynthesis, and efforts to improve aromatic amino acid biosynthesis in E. coli have been well-documented [18–20]. In our initial demonstration of vanillin synthesis, we harnessed one of these strategies by expressing a feedback-resistant variant of the enzyme that catalyzes the first committed step to aromatic amino acid biosynthesis (aroG*) . Previous studies demonstrated two other strategies that were successfully used to increase titers of aromatic products, in these cases by increasing availability of two key aromatic precursor metabolites: phosphoenolpyruvate (PEP) from glycolysis and erythrose-4-phosphate (E4P) from the pentose phosphate pathway. PEP and E4P condense to form DAHP during the first committed step towards aromatic amino acid biosynthesis (Fig. 1a) [18–20]. One reported strategy to increase their availability is deletion of the phosphotransferase system (PTS), which is the primary means for glucose import and consumes 1 mole of PEP per mole of glucose. Growth of a PTS− strain on glucose as a sole carbon source can be made viable by upregulating the gene encoding galactose permease (galP), which allows glucose entry independent of PEP consumption (PTS− glu+). A second documented strategy to increase availability of PEP and E4P is to overexpress the genes encoding PEP synthase (ppsA) and transketolase (tktA) [18–20]. PEP synthase catalyzes the conversion of PEP into pyruvate, and transketolase catalyzes the reversible formation of E4P and xylulose 5-phosphate from fructose 6-phosphate and glyceraldehyde 3-phosphate.
To test these strategies, we engineered a PTS− glu+ variant of the RARE strain (PTS− glu+ RAREʹ), where the “RARE prime” designation indicates that this strain contains intact versions of two genes (dkgB and yeaE) that were targeted for deletion in the original RARE strain. Previous work found that these two genes did not substantially contribute to aldehyde reductase activity given their low native expression . When the PTS− glu+ RAREʹ host overexpressed the aroG*, asbF Bt , and OMT Hs genes, 132 ± 14 mg/L of vanillate was produced 72 h after induction (Fig. 1b). When the same host was used to express the ppsA and tktA genes in addition to the previously mentioned pathway genes, vanillate titers slightly decreased but cumulative titers of heterologous metabolites increased. Specifically, protocatechuate titer increased from 200 to 300 mg/L in strains expressing the ppsA and tktA genes. In addition, the specific yield of protocatechuate noticeably increased around 24 h after pathway induction when ppsA and tktA were overexpressed (Additional file 1: Figure S1). In both experiments, protocatechuate was the dominant heterologous metabolite formed on a molar basis, and this suggested that the reaction catalyzed by the O-methyltransferase was limiting. It is possible that the decrease in vanillate titers resulted either from decreased OMT Hs expression as two additional genes were being expressed, or from the decreased rate of biomass formation during expression of the two additional genes (Additional file 1: Figure S1), or from both contributions.
Supplementation of methionine and homocysteine improve vanillate titers, strongly suggesting that availability of the co-substrate S-adenosylmethionine (SAM) limits conversion of protocatechuate to vanillate
We monitored vanillate titers in cultures with and without supplementation of 10 mM l-methionine at peak vanillate productivity (24 h after induction) (Fig. 3b). Although methionine supplementation did not result in significant changes in vanillate titer immediately, final vanillate titer increased twofold 72 h after induction. In addition, vanillate synthesis occurred at a relatively constant rate until the final sampling time of 72 h upon methionine supplementation. This result suggests that potential depletion of SAM and methionine pools later in the culture may be responsible for limiting conversion of protocatechuate to vanillate.
To better understand the contributions of methionine biosynthesis to the vanillate pathway, a second supplementation experiment was performed, this time with the direct precursor to methionine, l-homocysteine (Fig. 3a). The methylation of homocysteine to form methionine is reported to be problematic under oxidative conditions due to the inactivation of catalytic residues in the cobalamin-independent methionine synthase (MetE) [22–25]. As before, cultures at peak vanillate productivity (24 h) were supplemented with and without l-homocysteine. Because l-homocysteine is reported to be toxic for E. coli [26, 27], we added 2.5 mM rather than 10 mM. Once again, supplemented cultures displayed an increase in vanillate titer (up to 200 mg/L) and an increase in duration of vanillate production consistent with what was observed for l-methionine addition (Fig. 3c). The average rate of vanillate synthesis doubled from 1.3 to 2.6 mg/L h. Importantly, vanillate specific yields showed that homocysteine supplementation led to higher specific production of vanillate rather than higher cell density (Fig. 3d). These results collectively suggested that reactions upstream of homocysteine synthesis in the methionine biosynthesis pathway need to be targeted to achieve increases in vanillate production from glucose as a sole carbon source.
Deregulation of SAM biosynthesis through deletion of metJ and expression of metA* and cysE* improves vanillate titers
We hypothesized that vanillate titers might increase if methionine biosynthesis were modified by (i) deleting metJ; and (ii) expressing metA* and cysE* (Fig. 4a). Given our observation of slower growth in the PTS− glu+ RAREʹ strain relative to the RARE strain, we decided to delete metJ in both strains and compare performance. Upon overexpression of aroG*, asbF, OMT, ppsA, and tktA, the RARE ∆metJ host resulted in higher titers of protocatechuate and vanillate than the PTS− glu+ RAREʹ ∆metJ host (Fig. 4b). However, protocatechuate titers remained higher than vanillate titers in both cases. As previously noted, metJ is only one of many simultaneous modes of methionine biosynthesis regulation. Given feedback-resistance at the entrance to the pathway, one could envision the metJ deletion strain performing slightly worse because of increased expression of downstream genes with minimal flux entering the pathway. Given that the RARE ∆metJ host performed better than the PTS− glu+ RAREʹ ∆metJ host, we decided to continue with RARE ∆metJ for remaining experiments.
To further understand the limitations in methionine biosynthesis, we next supplemented the RARE ∆metJ host harboring the pathway with one of three amino acids: l-methionine, l-cysteine, and l-aspartate. Because cysteine and aspartate are precursors to methionine (Fig. 4a), our goal was to investigate whether reaction steps downstream of their biosynthesis were problematic. In this case, we added 10 mM of each amino acid at the time of induction (0 h) to see whether the time of supplementation would affect pathway kinetics. In this experiment, we also included the RARE host (with metJ intact) expressing the pathway in order to better understand the potential effect of metJ deletion. Performance of the RARE and RARE ∆metJ hosts supplemented with methionine was similar, with roughly 280 mg/L vanillate produced in just 24 h (Fig. 4c). Little additional vanillate formed after the first 24 h, suggesting that methionine supplementation at induction might be more effective than supplementation at 24 h. The decrease in the rate of vanillate formation suggested that all of the methionine added initially may have been depleted within 24 h. Addition of l-cysteine or l-aspartate did not improve vanillate titers, which supported the notion of next focusing on the reactions catalyzed by MetA and CysE. Interestingly, biomass formation occurred more rapidly than usual during l-aspartate supplementation, suggesting that uptake of this amino acid occurred readily but was diverted to other cellular purposes besides methionine biosynthesis (Additional file 1: Figure S2). On the other hand, addition of 10 mM l-cysteine significantly decreased titers and biomass formation. Cysteine has been shown to inhibit the growth of several E. coli strains by inhibiting threonine deaminase and therefore isoleucine synthesis .
We next explored whether expression of the metA* and cysE* genes would improve conversion of vanillate to protocatechuate without the addition of l-methionine to the culture medium (Fig. 4d). In the cases in which metA* and cysE* were overexpressed, average vanillate titer was observed to exceed average protocatechuate titer at all time points sampled. Expression of metA*−cysE* increased final vanillate titers by 33 % (from 205 ± 16 to 272 ± 35 mg/L). To gain insight into potential upper bounds of vanillate titer obtainable by increasing SAM availability, we supplemented cultures expressing metA*−cysE* with 10 mM methionine at both induction and at 24 h after induction (Additional file 1: Figure S3). In this case, vanillate titers continued to exceed protocatechuate titers at all time points sampled. Addition of methionine at induction led to 341 ± 25 mg/L of vanillate produced in the first 24 h. This suggested that further increased SAM availability within the first 24 h could still improve vanillate production. Although the addition of an extra 10 mM methionine (20 mM methionine total) at 24 h after induction resulted in a final vanillate titer of 419 ± 58 mg/L at 72 h after induction, protocatechuate titers remained above 100 mg/L. Thus, a strategy of additional exogenous methionine supplementation is insufficient to address the limitation of protocatechuate conversion, particularly once cultures have achieved late exponential or stationary phase. Given continued observations of a decreasing rate of vanillate formation after 24 h, we also investigated potential loss of the ampicillin-resistant plasmid harboring OMT (pET-AsbF-OMT). Based on the similar number of colonies appearing on plates taken at the same time points (Additional file 1: Figure S4), we could rule out plasmid loss as an explanation for the limited conversion observed.
Orthogonal strategy of deregulating SAM regeneration through overexpression of mtn and luxS also achieves improvement in vanillate titers
In eukaryotes, archaea, and non-LuxS-containing bacteria, SAM regeneration occurs differently, with conversion of SAH directly to homocysteine and adenosine catalyzed by SAH hydrolase (SAHase) . We also hypothesized that overexpression of a heterologous SAHase might provide an alternative way to improve protocatechuate conversion with minimal interference to native regulation (Fig. 5a). To explore this concept, we tested expression of a SAHase from S. cerevisiae (sahH Sc ). In all of the remaining experiments, neither metA* nor cysE* were expressed.
Summary of titers from key experiments
Methionine added (mM)
Protocatechuate (P) Titer (mg/L)
Protocatechuate (P) Titer (mM)
Vanillate (V) Titer (mg/L)
Vanillate (V) Titer (mM)
Cumulative P+V Titer (mM)
PTS-glu + RARE’
aroG*, asbF, OMT
PTS-glu + RARE’
aroG*, asbF, OMT, ppsA, tktA
PTS-glu + RARE’
aroG*, asbF, OMT, ppsA, tktA
aroG*, asbF, OMT, ppsA, tktA
RARE ∆ metJ
aroG*, asbF, OMT, ppsA, tktA, metA, cysE
aroG*, asbF, OMT, ppsA, tktA, sahH
RARE ∆ metJ
aroG*, asbF, OMT, ppsA, tktA, mtn, luxS
PTS-glu + RARE’
aroG*, asbF, OMT, ppsA, tktA
aroG*, asbF, OMT, ppsA, tktA
aroG*, asbF, OMT, ppsA, tktA, sahH
RARE ∆ metJ
aroG*, asbF, OMT, ppsA, tktA, mtn, luxS
RARE ∆ metJ
aroG*, asbF, OMT, ppsA, tktA, metA, cysE
The results of this study present a detailed perspective on de novo vanillate biosynthesis in engineered E. coli. First, genetic perturbations were made upstream of the heterologous pathway in order to improve titers and better determine which reaction steps may be limiting. Upon identification of a limitation in the reaction catalyzed by OMT Hs , experiments were performed that provided several lines of evidence that SAM availability was the dominant cause of the limitation. Given that conversion of exogenously supplied homocysteine improved vanillate titers, attention was next focused on deregulating methionine biosynthesis by targeting the global regulator MetJ and the feedback-sensitive enzymes MetA and CysE. When deletion of metJ was coupled with expression of feedback-desensitized variants of metA* and cysE*, average de novo vanillate titers improved by 33 %. The orthogonal strategy of deregulating SAM regeneration by overexpressing mtn and luxS improved average de novo vanillate titers by 25 %. Overall, de novo vanillate titers improved roughly twofold over the course of experiments described in this manuscript.
In principle, the strategies of targeting biosynthesis or regeneration for deregulation provide different tradeoffs. Increasing SAM regeneration by increasing flux through the activated methyl cycle should be more efficient on a carbon basis than increasing flux through SAM biosynthesis because it depletes SAH, which is a toxic molecule and is known to inhibit O-methyltransferases, rather than potentially unbalancing central metabolic precursors. However, a potential disadvantage of increasing SAM regeneration is that the native E. coli pathway is coupled to biosynthesis of quorum sensing molecules that have widespread regulatory effects. The use of a yeast SAH hydrolase was motivated by the potential ability to decouple SAM regeneration and quorum sensing. The effectiveness of our implementation of these strategies can be determined from the titers shown in Table 1. Although overexpression of metA* and cysE* (Table 1, row #5) led to slightly higher vanillate titers than overexpression of mtn and luxS (Table 1, row #7), the latter strategy resulted in greater cumulative titers of protocatechuate and vanillate. In all cases, methionine supplementation led to a greater molar ratio of vanillate to protocatechuate (of note are rows #11–12). These results suggest that further efforts towards increasing SAM availability would be worthwhile for improving de novo production.
When compared with results from previously reported vanillin pathway optimization studies performed in yeast, our observations highlight the context dependence of engineered metabolic pathways. Two reports published after the initial demonstration of the engineered yeast vanillin pathway describe improvements obtained using flux balance analysis (FBA) model-guided optimization [8, 9]. In the first report, OptGene was used to identify target reactions that, if deleted, would increase vanillin production. Different deletion targets were suggested depending on the reference flux distribution in the minimization of metabolic adjustment (MOMA) biological objective function. In general, the predicted benefit from these modifications was increased availability of the co-factors ATP and NADPH required by Car Ni . Genes related to pyruvate metabolism, ammonium metabolism, the pentose phosphate pathway, and central carbon metabolism were identified. The only three modifications tested experimentally were deletion of one of the pyruvate decarboxylases (PDC1), deletion of the most active glutamate dehydrogenase (GDH1), and overexpression of GDH2 to ensure sufficient nitrogen uptake in the absence of GDH1. These modifications led to an overproducer strain that, when cultivated in a low dilution rate continuous fermentation, resulted in vanillin-β-d-glucoside titers of 500 mg/L . As of that study, identification and overexpression of a potential rate-limiting enzyme in the pathway had not yet been described. In a second report, OMT Hs and Car Ni were overexpressed in the highest-producing strain obtained from the previous study  based on the observed accumulation of two heterologous intermediates (protocatechuate and protocatechualdehyde). Car Ni overexpression did not lead to an increase in production, whereas OMT Hs overexpression led to a 30 % increase in titer (now 380 mg/L vanillin-β-d-glucoside compared to a different baseline than referenced above). However, OMT Hs overexpression in the parental strain from the first study did not alter titer. The authors concluded that this was likely because Car Ni was limiting due to low availability of ATP and NADPH without the model-guided modifications made in the first study.
Given the many potential applications of methyltransferases in metabolic engineering [15, 16], the small number of reported examples in E. coli may reflect the limited host methylation capacity that we have encountered. In one report, a novel bacterial fatty acid methyltransferase was used to catalyze the formation of fatty acid methyl esters using free fatty acids and SAM . The authors of that study note that SAM availability strongly regulated methyl ester production. By deleting the metJ gene mentioned earlier, and by overexpressing a gene encoding methionine adenosyltransferase from rat, the authors achieved an improvement in methyl ester production. However, the normalized titers of methyl esters in the supernatant achieved in their study increased from below 1 µM/OD to roughly 2.5 µM/OD. The corresponding amount of SAM required to achieve such conversion is orders of magnitude below what drives production of hundreds of milligrams per liter of vanillate.
Other reported examples of SAM-dependent methyltransferase reactions engineered in E. coli include several biotransformations to produce valuable methylated flavonoids, such as conversion of quercetin to rhamnetin , naringenin to 3-O-methylkaempferol , coumaric acid to 7-methoxyapigenin [48, 49], and coumaric acid to 7-O-methylaromadendrin . Several of these methylated flavonoids are reported to have pharmacological properties. The largest titer reported in any of these examples was 111 mg/L of rhamnetin upon overexpression of E. coli SAM synthetase (metK) . Results obtained in this study, such as those from methionine and homocysteine supplementation experiments, strongly suggest that conversion of methionine to SAM is not a primary limitation under native conditions of SAM biosynthesis. Rather, steps in upstream methionine biosynthesis and in downstream SAM regeneration appear to be limiting SAM utilization by heterologous methyltransferases, and these steps ought to receive greater initial focus for targeted deregulation. Strategies described in this work would likely further improve production of these valuable methylated flavonoids and other desired methylated compounds. In addition, based on the ease of detecting protocatechuate and vanillate, we propose that the vanillate pathway could serve as a convenient system in future studies that aim to understand and improve SAM biosynthesis and regeneration in E. coli.
In this report, we have demonstrated that the de novo vanillin biosynthesis pathway engineered in E. coli suffers from a limitation in the conversion of protocatechuate to vanillate. Using several experimental approaches, we established that limited availability of the co-substrate SAM is the primary cause of the limitation. We then implemented two orthogonal strategies intended to increase SAM availability. One approach focused on deregulating SAM biosynthesis through metJ deletion and overexpression of feedback desensitized metA* and cysE*. The other approach aimed at deregulating SAM regeneration through overexpression of mtn and luxS. Both approaches led to increases in vanillate titer, and further increases were obtained through methionine supplementation. These results provide useful insights for improving production from pathways that involve methylation in E. coli, such as the vanillin pathway.
Strains and plasmids
Strains and plasmids used in this study
E. coli strains
F– Φ80lacZΔM15 Δ(lacZYA-argF) U169 recA1 endA1 hsdR17 (rK–, mK+) phoA supE44 λ– thi-1 gyrA96 relA1
F− mcrA Δ(mrr-hsdRMS-mcrBC) Φ80lacZΔM15 ΔlacX74 recA1 endA1 araD139Δ(ara, leu)7697 galU galK λ− rpsL nupG
F− λ− ilvG- rfb-50 rph-1
F− λ− ilvG- rfb-50 rph-1 (DE3)
MG1655(DE3) ∆dkgB ∆yeaE ∆(yqhC-dkgA) ∆yahK ∆yjgB
MG1655(DE3) ∆dkgB ∆yeaE ∆(yqhC-dkgA) ∆yahK ∆yjgB ∆metJ
MG1655(DE3) ∆ptsHIcrr Pglk::Pcon* galPq
This study, but based on Ref. 
PTS− glu+ RARE’
MG1655(DE3) ∆ptsHIcrr Pglk::Pcon* galPq ∆(yqhC-dkgA) ∆yahK ∆yjgB
PTS− glu+ RARE’ ∆metJ
MG1655(DE3) ∆ptsHIcrr Pglk::Pcon* galPq ∆(yqhC-dkgA) ∆yahK ∆yjgB ∆metJ
E. coli plasmids
λ cI857 (ts), λ pr Repts, AmpR, CmR, λ pr FLP
oriRγ, AmpR, kan
oriR101, repA101 ts , AmpR, araC, araBp-λ γ -λ β -λexo
AmpR, lacI, T7lac
CmR, lacI, T7lac
KanR, lacI, T7lac
StrR, lacI, T7lac
pACYCDuet-1 harboring car opt (carboxylic acid reductase from Nocardia iowensis, codon-optimized for expression in E. coli) and sfp opt (phosphopantetheinyl transferase from Bacillus subtilis, codon optimized for expression in E. coli)
pETDuet-1 harboring Hs-S-COMT opt (catechol O-methyltransferase from Homo sapiens, codon-optimized for expression in E. coli) and asbF opt (dehydroshikimate dehydratase from Bacillus thuringiensis, codon optimized for expression in E. coli)
Plasmid containing the shikimate module, version 4, kindly provided by the Keasling Lab at UC Berkeley. (Source of aroG*-ppsA-tktA artificial operon)
pACYCDuet-1 harboring the feedback-resistant aroG* from E. coli
pACYCDuet-1 harboring three E. coli genes in an artificial operon: aroG*, ppsA, and tktA
pCOLADuet-1 harboring the E. coli metK gene
pETDuet-1 harboring Hs-S-COMT opt
pCOLADuet-1 harboring a feedback-desensitized version of E. coli metA (27_Arg- > Cys, 296_Ile- > Ser, and 298_Pro- > Leu, “metA*”)
pCOLADuet-1 harboring a feedback-desensitized version of E. coli cysE (95_Val- > Arg, and 96_Asp- > Pro, “cysE*”)
pCOLADuet-1 harboring an artificial operon consisting of the metA* and cysE* genes
pCDFDuet-1 harboring an artificial operon containing car opt and sfp opt
pCOLADuet-1 harboring the E. coli mtn gene
pCOLADuet-1 harboring an artificial operon consisting of the E. coli mtn and luxS genes
pCOLADuet-1 harboring sahH Sc (S-adenosylhomocysteine hydrolase from S. cerevisiae, codon-optimized for expression in E. coli)
Synthesized gene sequences used in this study
Gene (and restriction enzymes)
DNA sequence. Restriction enzyme sites are underlined and start/stop codons are in bold
AAAAAACAT ATGCCGATTCGTGTGCCGGACGAGCTACCCGCCGTCAATTTCTTGCGTGAAGAAAACGTCTTTGTGATGACAACTTCTTGTGCGTCTGGTCAGGAAATTCGTCCACTTAAGGTTCTGATCCTTAACCTGATGCCGAAGAAGATTGAAACTGAAAATCAGTTTCTGCGCCTGCTTTCAAACTCACCTTTGCAGGTCGATATTCAGCTGTTGCGCATCGATTCCCGTGAATCGCGCAACACGCCCGCAGAGCATCTGAACAACTTCTACTGTAACTTTGAAGATATTCAGGATCAGAACTTTGACGGTTTGATTGTAACTGGTGCGCCGCTGGGCCTGGTGGAGTTTAATGATGTCGCTTACTGGCCGCAGATCAAACAGGTGCTGGAGTGGTCGAAAGATCACGTCACCTCGACGCTGTTTGTCTGCTGGGCGGTACAGGCCGCGCTCAATATCCTCTACGGCATTCCTAAGCAAACTCGCACCGAAAAACTCTCTGGCGTTTACGAGCATCATATTCTCCATCCTCATGCGCTTCTGACGCGTGGCTTTGATGATTCATTCCTGGCACCGCATTCGCGCTATGCTGACTTTCCGGCAGCGTTGATTCGTGATTACACCGATCTGGAAATTCTGGCAGAGACGGAAGAAGGGGATGCATATCTGTTTGCCAGTAAAGATAAGCGCATTGCCTTTGTGACGGGCCATCCCGAATATGATGCGCAAACGCTGGCGCAGGAATTTTTCCGCGATGTGGAAGCCGGACTAGACCCGGATGTACCGTATAACTATTTCCCGCACAATGATCCGCAAAATACACCGCGAGCGAGCTGGCGTAGTCACGGTAATTTACTGTTTACCAACTGGCTCAACTATTACGTCTACCAGAGCACGCTATACGATCTACGGCACATGAATCCAACGCTGGATTAA GACGTCAAAAAA
sahH Sc (NcoI/NotI)
Oligonucleotides used in this study
Sequence (5′– >3′)
The following compounds were purchased from Sigma: vanillic acid, protocatechuic acid (otherwise known as 3,4-dihydroxybenzoic acid), l-methionine, l-homocysteine, l-cysteine, and l-aspartate. Isopropyl β-d-1-thiogalactopyranoside (IPTG) was purchased from Denville Scientific. Ampicillin sodium salt, chloramphenicol, streptomycin sulfate, and kanamycin sulfate were purchased from Affymetrix.
A 1X M9 salt medium (Sigma) containing 6.78 g/L Na2HPO4∙7H2O, 3 g/L KH2PO4, 1 g/L NH4CI, and 0.5 g/L NaCl, supplemented with 2 mM MgSO4, 0.1 mM CaCl2, glucose, trace elements, and antibiotics was used as the culture medium for experiments in this study. The trace element solution (100×) used contained 5 g/L EDTA, 0.83 g/L FeCl3∙6H2O, 84 mg/L ZnCl2, 10 mg/L CoCl2∙6H2O, 13 mg/L CuCI2∙2H2O, 1.6 mg/L MnCl2∙2H2O and 10 mg/L H3BO3 dissolved in water. This was added to a concentration of 1× to supplement the M9-glucose medium. This medium will be henceforth referred to as “M9-glu-trace.” For all experiments except the experiment corresponding to Fig. 1b, the initial glucose concentration was 1.8 %. The initial glucose concentration was 1.2 % for the experiment corresponding to Fig. 1b.
All experiments were performed in 250 ml baffled PYREX shake flasks that contained 50 ml culture volumes. Overnight cultures were grown in 3 ml in 14 ml round-bottom tubes (Corning). Experimental cultures were initiated as follows: 1 % (v/v) inoculum volumes of overnight culture in LB medium were first transferred into overnight culture in M9-glu-trace medium, and then 1 % (v/v) inoculum volumes of overnight culture in M9-glu-trace were transferred into 50 mL M9-glu-trace medium, incubated at 30 °C, and agitated at 250 rpm. The OD600 was measured regularly during exponential growth using a DU800 UV/Vis spectrophotometer (Beckman Coulter). Cultures were induced with 0.5 mM IPTG at OD600 values between 0.8 and 1.0. Depending on the experiment, culture medium was supplemented with either 50 mg/L ampicillin, 17 mg/L chloramphenicol, 25 mg/L streptomycin, 25 mg/L kanamycin, or combinations of the previous antibiotics to provide selective pressure for plasmid maintenance. In some experiments (Figs. 4, 5; Additional file 1: Figures S2–S4), 50 mg/L carbenicillin was used in place of ampicillin in liquid cultures to provide more stringent pressure for plasmid maintenance. All experiments were performed in biological triplicate, and results are presented as averages with error bars representing one standard deviation.
For experiments in which S-adenosyl-l-methionine precursors were supplemented, flask cultures were set up as mentioned before but with culture volumes adjusted to achieve final concentrations as follows: 10 mM l-methionine, 2.5 mM l-homocysteine, 10 mM l-cysteine, or 10 mM l-aspartate. Stocks of supplemented metabolites were pH-neutralized and sterile filtered. In these experiments, control cultures received an equal volume of sterile deionized water instead of the metabolic precursors at the time of supplementation. Supplementation times varied from occurring at induction (0 h), occurring 24 h after induction, and occurring at both induction and 24 h after induction.
Culture samples were pelleted by centrifugation and aqueous supernatant was collected for HPLC analysis using an Agilent 1100 series instrument equipped with a diode array detector. Heterologous compounds produced in vanillin experiments were separated using a Zorbax Eclipse XDB-C18 column (Agilent) and detected using a wavelength of 280 nm. A gradient method used the following solvents: (A) 50 % acetonitrile+ 0.1 % trifluoroacetic acid (TFA); (B) water+ 0.1 % TFA. The gradient began with 5 % Solvent A and 95 % Solvent B. The setting at 20 min was 60 % Solvent A and 40 % Solvent B. The program restored the original ratio at 22 min and ended at 25 min. The flow rate was 1.0 ml/min and all vanillin pathway compounds of interest eluted within 15 min. Column temperature was maintained at 30 °C.
To determine qualitative protein expression level of OMT in the absence of other pathway gene overexpression, E. coli MG1655(DE3) was transformed with empty pETDuet-1 or pET-OMT. Single colonies from plates of each transformation were grown overnight in 3 ml of LB with 50 mg/L ampicillin. Cells were passaged into second overnight cultures by inoculating 3 ml of M9+ 1.8 % glucose with 100 μL of the overnight LB cultures. Shake flask cultures containing 50 ml M9+ 1.8 % glucose were inoculated at 1 % inoculum from overnight M9 cultures and incubated with agitation at 30 °C and 250 rpm. Cultures were induced with 0.5 mM IPTG at OD600 values between 0.8 and 1.0. Twenty-four hours after induction, 5 ml of each culture were sampled and pelleted by centrifugation. Cell pellets were resuspended in 1 ml of 10 mM Tris–HCl at pH 8.0 and lysed using sonication. After lysis, samples were pelleted by centrifugation (16,000g, 4 °C, 20 min) and supernatant was collected as soluble lysate. The remaining pellet was resuspended in 10 mM Tris–HCl and deemed the insoluble fraction.
Total protein was quantified by the Bradford assay method  using Bio-Rad Protein Assay Dye Reagent (Cat #500-0006) and a bovine serum album (BSA) standard. A Bio-Rad 10 % Mini-PROTEAN TGX gel (Cat #456-1034) was run using the Mini-PROTEAN Tetra Cell electrophoresis apparatus. Bio-Rad Precision Plus Protein All Blue Standard (Cat #161-0373) and 10 μg of total protein for each sample was loaded on the gel. After running at 200 volts for 33 min, the gel was washed with deionized water before staining with Bio-Rad Bio-Safe Coomassie Stain (Cat #161-0786).
O-methyltransferase in vitro specific activity
To determine the specific activity of the O-methyltransferase as a function of time in the context of the pathway, E. coli MG1655(DE3) was transformed with pET-OMT-AsbF and pACYC-AroG*-PpsA-TktA plasmids. Single colonies from plates of each transformation were grown overnight in 3 ml of LB with 50 mg/L ampicillin and 17 mg/L chloramphenicol. Cells were passaged into second overnight cultures by inoculating 3 ml of M9+ 1.8 % glucose+ antibiotics with 100 μL of the overnight LB cultures. Shake flask cultures containing 50 ml M9+ 1.8 % glucose+ antibiotics were inoculated at 1 % inoculum from overnight M9 cultures and incubated with agitation at 30 °C and 250 rpm. Cultures were induced with 0.5 mM IPTG at OD600 values between 0.8 and 1.0. At 12 h time point increments after induction, 5 ml of each culture were sampled and pelleted by centrifugation. Cell pellets were resuspended in 1 ml of 100 mM sodium phosphate buffer at pH 7.5 and lysed using sonication. After lysis, samples were pelleted by centrifugation (16,000g, 4 °C, 20 min) and supernatant containing OMT was collected.
The OMT activity assay contained the following final concentrations to a final volume of 600 µL per sample: 100 mM sodium phosphate buffer (pH 7.5), 2 mM protocatechuate, 2 mM S-adenosylmethionine, 5 mM MgCl2, and roughly 0.1 mg/mL BSA protein equivalent of lysate (60 µL). Lysate was always added last, and immediately upon addition, the assay solution was split into two 300 µL volumes (ti and tf). The ti volume was quenched with 1 % TFA, and the tf was quenched in the same manner after 1 h. Both volumes for each sample were maintained at 30 °C. Potential debris from quenched volumes were pelleted by centrifugation (16,000g, 4 °C, 3 min) and supernatant was analyzed by HPLC. Concentrations of protocatechuate and vanillate were measured as described before. Specific OMT activity was calculated by dividing differences in vanillate concentration by total protein concentration in corresponding lysate. Specific activities were subsequently normalized to the activity at the first time point sampled (12 h). Lysate from a strain transformed with empty pET was used as a control in otherwise identical assays to ensure there was no background conversion of protocatechuate.
Calculation of maximum theoretical pathway yield
Maximum theoretical yields presented for vanillin and vanillate were calculated using an in silico genome-scale metabolic model of E. coli (iJO1366)  and the constraint-based reconstruction and analysis (COBRA) toolbox version 2.0 [60, 61] within the framework of MATLAB 2013a. Heterologous vanillin pathway reactions were added to the model, and uptake rates for glucose and oxygen were set to −10 mmol/gDW-h and −1000 mmol/gDW-h, respectively .
AMK and KLJP conceived of the study. AMK performed experiments and data analysis. JCH assisted with sampling of time-course experiments and with OMT activity assays. AMK and KLJP drafted the manuscript. All authors read and approved the final manuscript.
This research was supported by the National Science Foundation through the Synthetic Biology Engineering Research Center (SynBERC, Grant No. EEC-0540879) and through a Graduate Research Fellowship to A.M.K.
The authors declare that they have no competing interests.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
- Krings U, Berger RG. Biotechnological production of flavours and fragrances. Appl Microbiol Biotechnol. 1998;49(1):1–8.View ArticleGoogle Scholar
- Feron G, Wache Y. 1.16 microbial biotechnology of food flavor production. In: Pometto A, Shetty K, Paliyath G, Levin R, editors. Food Biotechnology, 2nd ed. Boca Raton: CRC Press; 2006. p. 407–442.Google Scholar
- Walton NJ, Mayer MJ, Narbad A. Vanillin. Phytochemistry. 2003;63:505–15.View ArticleGoogle Scholar
- Hansen EH, Møller BL, Kock GR, Bünner CM, Kristensen C, Jensen OR, Okkels FT, Olsen CE, Motawia MS, Hansen J. De novo biosynthesis of vanillin in fission yeast (Schizosaccharomyces pombe) and baker’s yeast (Saccharomyces cerevisiae). Appl Environ Microbiol. 2009;75:2765–74.View ArticleGoogle Scholar
- Kunjapur AM, Tarasova Y, Prather KLJ. Synthesis and accumulation of aromatic aldehydes in an engineered strain of Escherichia coli. J Am Chem Soc. 2014;136:11644–54.View ArticleGoogle Scholar
- Li K, Frost JW. Synthesis of vanillin from glucose. J Am Chem Soc. 1998;120:10545–6.View ArticleGoogle Scholar
- Kunjapur AM, Prather KLJ. Microbial engineering for aldehyde synthesis. Appl Environ Microbiol. 2015;81:1892–901.View ArticleGoogle Scholar
- Brochado A, Matos C, Moller B, Hansen J, Mortensen U, Patil K. Improved vanillin production in baker’s yeast through in silico design. Microb Cell Fact. 2010;9:84.View ArticleGoogle Scholar
- Brochado AR, Patil KR. Overexpression of O-methyltransferase leads to improved vanillin production in baker’s yeast only when complemented with model-guided network engineering. Biotechnol Bioeng. 2013;110:656–9.View ArticleGoogle Scholar
- Hayden EC. Synthetic-biology firms shift focus. Nature. 2014;505:598.View ArticleGoogle Scholar
- Fischer C, Klein-Marcuschamer D, Stephanopoulos G. Selection and optimization of microbial hosts for biofuels production. Metab Eng. 2008;10:295–304.View ArticleGoogle Scholar
- Muntendam R, Melillo E, Ryden A, Kayser O. Perspectives and limits of engineering the isoprenoid metabolism in heterologous hosts. Appl Microbiol Biotechnol. 2009;84:1003–19.View ArticleGoogle Scholar
- Jarboe LR, Zhang X, Wang X, Moore JC, Shanmugam KT, Ingram LO. Metabolic engineering for production of biorenewable fuels and chemicals: contributions of synthetic biology. BioMed Res Int. 2010;2010:761042.Google Scholar
- Zaldivar J, Martinez A, Ingram LO. Effect of selected aldehydes on the growth and fermentation of ethanologenic Escherichia coli. Biotechnol Bioeng. 1999;65:24–33.View ArticleGoogle Scholar
- Struck A-W, Thompson ML, Wong LS, Micklefield J. S-adenosyl-methionine-dependent methyltransferases: highly versatile enzymes in biocatalysis biosynthesis and other biotechnological applications. ChemBioChem. 2012;13:2642–55.View ArticleGoogle Scholar
- Wessjohann L, Dippe M, Tengg M, Gruber-Khadjawi M. Methyltransferases in biocatalysis, in cascade biocatalysis: integrating stereoselective and environmentally friendly reactions. In: Riva S, W-D Fessner, editors, Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim; 2014.Google Scholar
- Fox DT, Hotta K, Kim C-Y, Koppisch AT. The missing link in petrobactin biosynthesis: asbF encodes a (-)-3-dehydroshikimate dehydratase. Biochemistry. 2008;47:12251–3.View ArticleGoogle Scholar
- Berry A. Improving production of aromatic compounds in Escherichia coli by metabolic engineering. Trends Biotechnol. 1996;14:250–6.View ArticleGoogle Scholar
- Draths KM, Pompliano DL, Conley DL, Frost JW, Berry A, Disbrow GL, Staversky RJ, Lievense JC. Biocatalytic synthesis of aromatics from d-glucose: the role of transketolase. J Am Chem Soc. 1992;114:3956–62.View ArticleGoogle Scholar
- Snell KD, Draths KM, Frost JW. Synthetic modification of the Escherichia coli chromosome: enhancing the biocatalytic conversion of glucose into aromatic chemicals. J Am Chem Soc. 1996;118:5605–14.View ArticleGoogle Scholar
- Holcomb ER, Shapiro SK. Assay and regulation of S-adenosylmethionine synthetase in Saccharomyces cerevisiae and Candida utilis. J Bacteriol. 1975;121:267–71.Google Scholar
- Hondorp ER, Matthews RG. Oxidative Stress Inactivates Cobalamin-Independent Methionine Synthase (MetE) in Escherichia coli. PLoS Biol. 2004;2:e336.View ArticleGoogle Scholar
- Leichert LI, Jakob U. Protein thiol modifications visualized in vivo. PLoS Biol. 2004;2:e333.View ArticleGoogle Scholar
- Hondorp ER, Matthews RG. Oxidation of cysteine 645 of cobalamin-independent methionine synthase causes a methionine limitation in Escherichia coli. J Bacteriol. 2009;191:3407–10.View ArticleGoogle Scholar
- Mordukhova EA, Pan J-G. Evolved cobalamin-independent methionine synthase (MetE) improves the acetate and thermal tolerance of Escherichia coli. Appl Environ Microbiol. 2013;79:7905–15.View ArticleGoogle Scholar
- Roe AJ, O’Byrne C, McLaggan D, Booth IR. Inhibition of Escherichia coli growth by acetic acid: a problem with methionine biosynthesis and homocysteine toxicity. Microbiology. 2002;148:2215–22.View ArticleGoogle Scholar
- Tuite NL, Fraser KR, O’Byrne CP. Homocysteine toxicity in Escherichia coli is caused by a perturbation of branched-chain amino acid biosynthesis. J Bacteriol. 2005;187:4362–71.View ArticleGoogle Scholar
- Kumar D, Gomes J. Methionine production by fermentation. Biotechnol Adv. 2005;23:41–61.View ArticleGoogle Scholar
- Willke T. Methionine production—a critical review. Appl Microbiol Biotechnol. 2014;98:9893–914.View ArticleGoogle Scholar
- Su C-H, Greene RC. Regulation of methionine biosynthesis in Escherichia coli: mapping of the metJ locus and properties of a metJ +/metJ- diploid. Proc Natl Acad Sci. 1971;68:367–71.View ArticleGoogle Scholar
- Saint-Girons I, Duchange N, Cohen GN, Zakin MM. Structure and autoregulation of the metJ regulatory gene in Escherichia coli. J Biol Chem. 1984;259:14282–5.Google Scholar
- Shoeman R, Redfield B, Coleman T, Greene RC, Smith AA, Brot N, Weissbach H. Regulation of methionine synthesis in Escherichia coli: effect of metJ gene product and S-adenosylmethionine on the expression of the metF gene. Proc Natl Acad Sci. 1985;82:3601–5.View ArticleGoogle Scholar
- Nakamori S, Kobayashi S, Nishimura T, Takagi H. Mechanism of l-methionine overproduction by Escherichia coli: the replacement of Ser-54 by Asn in the MetJ protein causes the derepression of l-methionine biosynthetic enzymes. Appl Microbiol Biotechnol. 1999;52:179–85.View ArticleGoogle Scholar
- Usuda Y, Kurahashi O. Effects of deregulation of methionine biosynthesis on methionine excretion in Escherichia coli. Appl Environ Microbiol. 2005;71:3228–34.View ArticleGoogle Scholar
- Harris C. Cysteine and growth inhibition of Escherichia coli: threonine deaminase as the target enzyme. J Bacteriol. 1981;145:1031–5.Google Scholar
- Kai Y, Kashiwagi T, Ishikawa K, Ziyatdinov MK, Redkina EI, Kiriukhin MY, Gusyatiner MM, Kobayashi S, Takagi H, Suzuki E. Engineering of Escherichia coli l-serine O-acetyltransferase on the basis of crystal structure: desensitization to feedback inhibition by l-cysteine. Protein Eng Des Sel. 2006;19:163–7.View ArticleGoogle Scholar
- Coward JK, D’Urso-Scott M, Sweet WD. Inhibition of catechol-O-methyltransferase by S-adenosylhomocysteine and S-adenosylhomocysteine sulfoxide, a potential transition-state analog. Biochem Pharmacol. 1972;21:1200–3.View ArticleGoogle Scholar
- Coward JK, Slisz EP, Wu FYH. Kinetic studies on catechol O-methyltransferase, product inhibition and the nature of the catechol binding site. Biochemistry. 1973;12:2291–7.View ArticleGoogle Scholar
- Parveen N, Cornell KA. Methylthioadenosine/S-adenosylhomocysteine nucleosidase, a critical enzyme for bacterial metabolism. Mol Microbiol. 2011;79:7–20.View ArticleGoogle Scholar
- Xavier KB, Bassler BL. LuxS quorum sensing: more than just a numbers game. Curr Opin Microbiol. 2003;6:191–7.View ArticleGoogle Scholar
- Barrios AFG, Zuo R, Hashimoto Y, Yang L, Bentley WE, Wood TK. Autoinducer 2 controls biofilm formation in Escherichia coli through a novel motility quorum-sensing regulator (MqsR, B3022). J Bacteriol. 2006;188:305–16.View ArticleGoogle Scholar
- Li J, Attila C, Wang L, Wood TK, Valdes JJ, Bentley WE. Quorum sensing in Escherichia coli is signaled by AI-2/LsrR: effects on small RNA and biofilm architecture. J Bacteriol. 2007;189:6011–20.View ArticleGoogle Scholar
- Hegde M, Englert DL, Schrock S, Cohn WB, Vogt C, Wood TK, Manson MD, Jayaraman A. Chemotaxis to the quorum-sensing signal AI-2 requires the Tsr chemoreceptor and the periplasmic LsrB AI-2-binding protein. J Bacteriol. 2011;193:768–73.View ArticleGoogle Scholar
- Halliday NM, Hardie KR, Williams P, Winzer K, Barrett DA. Quantitative liquid chromatography–tandem mass spectrometry profiling of activated methyl cycle metabolites involved in LuxS-dependent quorum sensing in Escherichia coli. Anal Biochem. 2010;403:20–9.View ArticleGoogle Scholar
- Nawabi P, Bauer S, Kyrpides N, Lykidis A. Engineering E. coli for biodiesel production utilizing a bacterial fatty acid methyltransferase. Appl Environ Microbiol. 2011;77:8052–61.View ArticleGoogle Scholar
- Sung SH, Ahn JH. Optimization of rhamnetin production in Escherichia coli. J Microbiol Biotechnol. 2011;21:854–7.View ArticleGoogle Scholar
- Kim BG, Joe EJ, Ahn JH. Molecular characterization of flavonol synthase from poplar and its application to the synthesis of 3-O-methylkaempferol. Biotechnol Lett. 2010;32:579–84.View ArticleGoogle Scholar
- Leonard E, Chemler J, Lim KH, Koffas MA. Expression of a soluble flavone synthase allows the biosynthesis of phytoestrogen derivatives in Escherichia coli. Appl Microbiol Biotechnol. 2006;70:85–91.View ArticleGoogle Scholar
- Jeon YM, Kim BG, Ahn JH. Biological synthesis of 7-O-methyl apigenin from naringenin using Escherichia coli expressing two genes. J Microbiol Biotechnol. 2009;19:491–4.View ArticleGoogle Scholar
- Malla S, Koffas MA, Kazlauskas RJ, Kim BG. Production of 7-O-methyl aromadendrin, a medicinally valuable flavonoid, in Escherichia coli. Appl Environ Microbiol. 2012;78:684–94.View ArticleGoogle Scholar
- Sambrook J, Russell DW. Molecular cloning: a laboratory manual. Cold Spring Harbor: Cold Spring Harbor Laboratory Press; 2001.Google Scholar
- Thomason LC, Costantino N, Court DL. E. coli genome manipulation by P1 transduction. In: Current protocols in molecular biology. Wiley; 2001.Google Scholar
- Baba T, Ara T, Hasegawa M, Takai Y, Okumura Y, Baba M, Datsenko KA, Tomita M, Wanner BL, Mori H. Construction of Escherichia coli K-12 in-frame, single-gene knockout mutants: the Keio collection. Mol Syst Biol. 2006;2006(2):0008.Google Scholar
- Datsenko KA, Wanner BL. One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products. Proc Natl Acad Sci USA. 2000;97:6640–5.View ArticleGoogle Scholar
- Tseng H-C, Martin CH, Nielsen DR, Prather KLJ. Metabolic engineering of Escherichia coli for enhanced production of (R)- and (S)-3-hydroxybutyrate. Appl Environ Microbiol. 2009;75:3137–45.View ArticleGoogle Scholar
- Solomon KV, Moon TS, Ma B, Sanders TM, Prather KLJ. Tuning primary metabolism for heterologous pathway productivity. ACS Synth Biol. 2013;2:126–35.View ArticleGoogle Scholar
- Juminaga D, Baidoo EEK, Redding-Johanson AM, Batth TS, Burd H, Mukhopadhyay A, Petzold CJ, Keasling JD. Modular engineering of l-tyrosine production in Escherichia coli. Appl Environ Microbiol. 2012;78:89–98.View ArticleGoogle Scholar
- Bradford MM. A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal Biochem. 1976;72:248–54.View ArticleGoogle Scholar
- Orth JD, Conrad TM, Na J, Lerman JA, Nam H, Feist AM, Palsson BØ. A comprehensive genome-scale reconstruction of Escherichia coli metabolism—2011. Mol Syst Biol. 2011;7:535.View ArticleGoogle Scholar
- Becker SA, Feist AM, Mo ML, Hannum G, Palsson BØ, Herrgard MJ. Quantitative prediction of cellular metabolism with constraint-based models: the COBRA toolbox. Nat Protoc. 2007;2:727–38.View ArticleGoogle Scholar
- Schellenberger J, Que R, Fleming RM, Thiele I, Orth JD, Feist AM, Zielinksi DC, Bordbar A, Lewis NE, Rahmanian S, Kang J. Quantitative prediction of cellular metabolism with constraint-based models: the COBRA toolbox v2.0. Nat Protoc. 2011;6:1290–307.View ArticleGoogle Scholar
- Orth JD, Thiele I, Palsson BØ. What is flux balance analysis? Nat Biotechnol. 2010;28:245–8.View ArticleGoogle Scholar