Open Access

Novel technologies combined with traditional metabolic engineering strategies facilitate the construction of shikimate-producing Escherichia coli

  • Pengfei Gu1,
  • Xiangyu Fan1,
  • Quanfeng Liang2,
  • Qingsheng Qi2 and
  • Qiang Li1Email author
Microbial Cell Factories201716:167

https://doi.org/10.1186/s12934-017-0773-y

Received: 27 July 2017

Accepted: 14 September 2017

Published: 29 September 2017

Abstract

Shikimate is an important intermediate in the aromatic amino acid pathway, which can be used as a promising building block for the synthesis of biological compounds, such as neuraminidase inhibitor Oseltamivir (Tamiflu®). Compared with traditional methods, microbial production of shikimate has the advantages of environmental friendliness, low cost, feed stock renewability, and product selectivity and diversity, thus receiving more and more attentions. The development of metabolic engineering allows for high-efficiency production of shikimate of Escherichia coli by improving the intracellular level of precursors, blocking downstream pathway, releasing negative regulation factors, and overexpressing rate-limiting enzymes. In addition, novel technologies derived from systems and synthetic biology have opened a new avenue towards construction of shikimate-producing strains. This review summarized successful and applicable strategies derived from traditional metabolic engineering and novel technologies for increasing accumulation of shikimate in E. coli.

Keywords

Shikimate Escherichia coli Metabolic engineeringNovel technologies

Background

Shikimate is a hydroaromatic intermediate compound in microorganisms, which is the precursor of three aromatic amino acids, l-tryptophan, l-phenylalanine, and l-tyrosine [1]. Nowadays, more and more attention has been attracted on the synthesis of shikimate as it is a promising building block for other important aromatic compounds with pharmaceutical activities, such as salicylic acid, alkaloid, flavonoid, coumarins, and violacein [2]. It is also the key synthetic material of neuraminidase inhibitor Oseltamivir (marketed as Tamiflu), which can inhibit the release of new virus particles of influenza B, H1N1 and H3N2 from the infected cells [3]. As the outbreaks of human and avian influenza viruses, the market price of shikimate increased from the usual price of $40/kg to $1000/kg due to a huge demand for Tamiflu [3].

The production of shikimate is mainly dependent on a conventional, low-yielding extraction from the seed of Illicium plant, such as I. verum and I. anistatum. However, this method is low-yield and costly, and cannot meet the increasing demand of shikimate [4]. In contrast, microbial production of shikimate from renewable resources like glucose is an alternative and sustainable approach to meet the current market volume.

Because of clear genetic background, fast growth in inexpensive media, and easy genomic manipulation, E. coli is a preferred candidate host for shikimate production [5, 6]. In E. coli, the shikimate pathway starts from the condensation of phosphoenolpyruvate (PEP) from glycolysis and d-erythrose 4-phosphate (E4P) from pentose phosphate pathway, which is catalyzed by three different DAHP synthase isoenzymes AroF, AroG and AroH. In addition, these three isoenzymes are feedback inhibited by three aromatic amino acids, l-tyrosine, l-phenylalanine, and l-tryptophan, respectively. And then, DAHP is converted into 3-dehydroquinate (DHQ), 3-dehydroshikimate (DHS), and shikimate in turn, catalyzed by dehydroquinate synthase encoded by aroB, DHQ dehydratase encoded by aroD, and shikimate dehydrogenase encoded by aroE respectively. Subsequently, by shikimate kinase isoenzymes AroK and AroL, and EPSP synthase AroA, a common precursor chorismate can be generated from shikimate, which proceeds into the biosynthetic pathway of three aromatic amino acids. The schematic of shikimate pathway in E. coli was illustrated in Fig. 1.
Fig. 1

The schematic of shikimate pathway in E. coli

Through decades of efforts, the shikimate pathway has been well elucidated and characterized [7, 8]. With the help of tools derived from metabolic engineering, system biology and synthetic biology, a particular pathway can be rationally engineered to achieve high titer, yield and productivity of targeted chemicals [911]. In previous work, our group also utilized metabolic engineering and synthetic biology strategies to construct high producing strains of l-tryptophan, shikimate, succinate, and 5-aminolevulinic acid [1216]. In this review, we summarized a plenty of traditional metabolic engineering strategies and novel technologies that improving the production of shikimate in E. coli.

Traditional metabolic engineering strategies for improving the titer of shikimate in E. coli

Increasing the intracellular level of precursors

In E. coli, PEP acts as a phosphoryl group donor in cross-membrane transportation of glucose by phosphoenolpyruvate: carbohydrate phosphotransferase system (PTS). When 1 mol of glucose is transported into the cell, 1 mol of PEP is consumed, resulting in PTS the largest consumer of PEP. It was reported the relative flux of PEP directed into shikimate pathway is only around 1.5% of the PTS system consumed [17]. Therefore, inactivating the PTS system will increase the proportion of PEP which entered the shikimate pathway [6]. However, low consumption rate of glucose may exhibit when PTS is abolished. To solve this problem, PTS can be replaced with other glucose transport systems in which PEP is not consumed, such as native galactose permease (GalP) [18, 19], and glucose facilitator (Glf)/glucokinase (Glk) from Zymomonas mobilis [20]. Another approach to increase PEP supply is overexpression of PEP synthase (PpsA) to recycling pyruvate to PEP [5]. In addition, to bypass the limited PEP availability, Ran et al. utilized pyruvate, rather than PEP, to make the shikimate pathway intermediate DAHP [21]. E4P, another precursor of shikimate, is derived from the pentose phosphate pathway. To improve the intracellular concentration of E4P, over-expression of transketolase and transaldolase encoded by tktA and talB respectively is a common strategy [20, 22]. As NADPH was also involved in shikimate synthesis, overexpression of transhydrogenase encoded by pntAB, and NAD kinase encoded by nadK will increase the size of NADPH pool, and in turn increase shikimate production [23].

Blocking downstream pathway of shikimate

In wild type E. coli, to synthesize downstream aromatic amino acids and other aromatic compounds indispensable for cell, shikimate cannot be accumulated. Accordingly, inactivation of downstream pathway after the stage of shikimate is employed for engineering shikimate-producing strain. The shikimate kinase I and II, encoded aroK and aroL respectively, were often selected to perform gene disruption [6, 24]. As shikimate-3-phosphate can easily transformed into shikimate by heating or acidification, accumulation of shikimate may also be accomplished by inactivating aroA in E. coli. This strategy has been explored in B. subtilis, and accumulation of 1.1 g/L shikimate was exhibited in the final strain [25].

Overexpression of rate-limiting enzymes in the shikimate pathway

In shikimate pathway of E. coli, three rate-limiting enzymes are involved, comprising DAHP synthase isoenzymes encoded by aroF, aroG, and aroH, 3-dehydroquinate synthase encoded by aroB, and shikimate dehydrogenase encoded by aroE, respectively [2, 24]. Among them, the activity of DAHP synthase is crucial which determines the carbon flux directed into shikimate pathway [26]. In wild-type E. coli, DAHP synthase isoenzymes AroF, AroG, and AroH can be feedback inhibited by three aromatic amino acids, l-tyrosine, l-phenylalanine, and l-tryptophan separately. It was reported AroF and AroG respectively contribute 20 and 80% of the total enzyme activity [27]. Therefore, these two isoenzymes were often employed as a target for site-directed mutagenesis and overexpression [6, 28]. In addition, AroB and AroE are both feedback regulated by shikimate. It was reported deletion of ShiA transporter was effective for decreasing the intracellular shikimate level and maintaining the regular activities of AroB and AroE [29, 30]. Considering the drawbacks of plasmids, site-specific integration of key genes into the chromosome of target strain could make genes stably expressed without inducers. In 2016, Liu et al. integrated crucial genes aroG, aroB, tktA, aroE, glk, galP into the locos of ptsHIcrr, and ppsA gene into the locos of tyrR [31]. With these modifications, the final strain produced 4.14 g/L shikimate in shake flask and 27.41 g/L in 5-L fermentator, of which titer was comparable with shikimate producers containing recombinant plasmids. Table 1 summarizes the shikimate production titer and yield of different recombinant E. coli strains reported in the last few years.
Table 1

Comparison of shikimate production in different recombinant E. coli strains

E. coli strains

Engineering strategies

Culture methods

Carbon source

Shikimate production

References

Titer (g/L)

Yield (g/g)

SP1.1pts/pSC6.090B

RB791 (ΔptsHΔptsIΔcrr, serA::aroB, aroL478::Tn10, aroK17::CmR)/pSU18-P tac glfglk-aroF FBR -tktA-P tac aroE-serA

10-L fed-batch fermentation

Glucose

87

0.348

[20]

SP1.1/pKD12.138

RB791 (ΔptsHΔptsIΔcrr, serA::aroB, aroL478::Tn10, aroK17::CmR)/pSU18-aroF FBR -P tac aroE-serA-tktA

2-L fed-batch fermentation

Glucose

52

0.174

[22]

SA116

BW25113 (ΔaroKΔaroLΔrecA, Ppps::PlacQ1, PcsrB::PlacQ1,) containing aroG FBR -tktA-aroB-aroE gene cluster integrated by CIChE and an additional chromosomal copy of nadK

Batch fermentation

Glucose

3.12

0.319

[23]

PB12.SA22

JM101 (ΔptsHIcrrΔaroL ΔaroK, glc+)/pJLB-aroG FBR-tktA and pTOPO -aroB-aroE

1-L batch fermentation

Glucose

7.05

0.29

[6]

SA5/pTH-aroGfbr-ppsA-tktA

B0013 (ΔaroLΔaroK, ΔptsGΔydiBΔackAΔpta)/pTH18kr-aroG FBR -ppsA-tktA

7-L fed-batch fermentation

Glucose

14.6

0.293

[5]

P-9

BW25113 (ΔaraCΔptaΔptsGΔaroLΔtrpRΔpykF) with the wild aroK promoter replaced by the tunable switch/pUC19-aroE-aroD-aroB and pCL1920-aroG FBR -tktA

5-L fed-batch fermentation

Glucose

13.15

0.204

[12]

SA5/pGBAE

BW25113 (ΔaroLΔaroK, ΔptsHIcrr::aroG-aroB- tktA-aroE-glk-galP, ΔtyrR::ppsA)/pETDuet-1 -P T7 -aroG-aroB-P T7 -tktA-aroE

5-L fed-batch fermentation

Glucose and glycerol

27.41

Na

[31]

SK5/pSK6

BW25113 (ΔaroLΔaroKΔydiBΔppcΔldhA)/pSA40-aroB-tktA-aroG FBR -DHQ/SDH-rpsM-aroK

Batch fermentation

Glycerol

5.33

N

[8]

DH5a-T7-P-DK

BL21 (DE3)/pET-28a-glpD-glpK and pAOC-aroE-aroB-glk-tktA-aroF FBR

Batch fermentation

Glycerol

0.2

0.175

[44]

BW25113 (ΔaroLΔaroK, DE3)/pETDuet-GBAE

BW25113 (ΔaroLΔaroK, DE3)/pETDuet-1-aroG-aroB-tktA-aroE

Batch fermentation

Sorbitol

1.0776

0.192

[45]

DHPYAAS-T7

DH5α (ΔptsHIcrr ΔaroLΔydiBΔaroK)/pAOC-aroE-aroB-glk-tktA-aroF FBR

10-L fed-batch fermentation

Glycerol

1.85

0.093

[24]

aNot indicated in the reference

Novel technologies increased the production or stability of shikimate-producing strains

Modified chemically inducible chromosomal evolution

As mentioned above, to achieve accumulation of shikimate, rate-limiting enzymes, such as aroG, aroE and aroB were often overexpressed by plasmids. However, due to structural instability, segregational instability, and allele segregation, genetic instability often exhibited for plasmids resulting in decreased productivity of the desired compound [32]. To maintain the stable existence of plasmids in host cells, antibiotic or other selective agents should be utilized, which increases the overall bioprocess cost and generates environmental concerns. Moreover, metabolic burden would be generated as the duplicate of plasmids competed for carbon source, energy and reduce power with the host. In other hand, although several chromosomal integration strategies have been extensively reported, little attention has been paid to the integration of gene(s) with multiple copies.

To overcome these drawbacks of plasmids and traditional genomic integration with single copy, Tyo et al. [33] developed chemically induced chromosomal evolution (CIChE) system which can integrate target genes into the chromosome with high copy numbers. However, chloramphenicol resistance marker was still employed. In 2013, a modified CIChE method that used triclosan as a selective marker was developed (Fig. 2a) [34]. By this strategy, a gene cluster containing deregulated aroG, tktA, aroB and aroE was integrated into the genome of E. coli BW25113. Combined with deletion of aroK and aroL, and integration of an additional chromosomal copy of tktA, pntAB and nadK under the control of 5 tandem repeats of the core-tac-promoter, the shikimate production of final strain SA116 increased obviously [23].
Fig. 2

Novel technologies reviewed in this paper. a Modified chemically inducible chromosomal evolution (CIChE). The CIChE DNA cassette contains a triclosan marker and target gene(s), flanked by homologous regions. By recA-mediated recombination between the leading homologous region in one DNA strand with the trailing homologous region in another strand, one daughter cell contains two copies of the cassette will be generated. This process can be repeated when recA is present. b Tunable switch. When no inducer was added, the expression of TetR controlled by PBAD promoter was repressed, leading to normal expression of aroK under the regulation of PLtetO1. When l-arabinose exists, PBAD promoter was induced and transcription of PLtetO1 promoter was partially repressed by expressed TetR, resulting to decreased expression of aroK. c When AHL is absent, the transcriptional regulator EsaRI70V binds to the PesaS promoter and transcription of aroK is activated. As the accumulation of AHL generated by AHL synthase EsaI, binding of EsaRI70V is disrupted eventually and the activity of PesaS promoter is inhibited. As the expression level of EsaI can be varied by promoter and/or RBS libraries, the transcription of aroK can be regulated at variable times and cell densities during the fermentation

Genetic circuits

By traditional metabolic engineering strategies, such as gene knockouts, expression level tuning, and protein engineering, industrial scale of desirable products can be produced by microorganisms. However, most of these non-native controllers are static which cannot sense changes of pathway output or cellular environment. Accordingly, any deviations away from the design conditions may result in decreased productivity [35]. To solve this problem, many genetic circuits have been desired to fine-tune and rebalance metabolic pathway, such as metabolic toggle switch [36, 37], biosensors [38, 39], and riboswitch [40, 41]. Although these genetic circuits are promising, there were only a few examples of their application in the field of bio-production, especially for shikimate production.

In most shikimate producers, shikimate kinase I and II respectively encoded by aroK and aroL were directly deleted to block downstream pathways, resulting in these engineered recombinant strains auxotrophic. To maintain normal growth, supplement of three aromatic amino acids and other aromatic compounds, such as p-hydroxybenzoic acid, potassium p-aminobenzoate and 2,3-dihydroxybenzoic acid, became necessary and thus increased the cost of industrial production [22]. To overcome this obstacle, we constructed a non-auxotrophic shikimate-producing strain of E. coli by a tunable switch, and this tunable switch can achieved conditional decreased expression of aroK (Fig. 2b) [12]. During the growth phase, aroK was maintained at a high expression level to achieve maximum biomass; and then, most of AroK activity was repressed by addition of an optimal concentration of inducer. In 5-L fed-batch fermentation, the final strain P-9 could produce 13.15 g/L shikimate without the addition of any aromatic compounds. This tunable switch also provided an effective tool for regulating indispensable genes involved in critical metabolic pathways. In 2017, Gupta et al. constructed a pathway-independent quorum-sensing circuit to dynamically regulate the expression of aroK, and the titers of shikimate in E. coli increased from unmeasurable to over 100 mg/L in minimal medium [42] (Fig. 2c).

Apart from tunable switch, growth dependent promoter can also be employed to construct a shikimate producing strain without completely blocking the aromatic amino acid biosynthesis pathway. In 2017, Lee et al. used promoters prpsM or prrnBP1 to regulate the aroK expression in shikimate producing E. coli [8]. Combined with overexpression of dehydroquinate dehydratase-shikimate dehydrogenase from woody plants, 5.33 g/L shikimate was accumulated in the resulting strain SK5/pSK6, demonstrating the effect of growth phase-dependent control of the aroK gene.

Fluxomics and metabolomics

To increase flux of target pathway, manipulation of single or multiple genes are often used in metabolic engineering. However, unnecessary metabolic burden would be generated from over-engineering of the pathway, insufficient supply of precursors, or excessive deletion of competing pathways [2]. Fluxomics can achieve measurement of all metabolic reaction rates in a biological system. In other hand, metabolomics is a powerful tool for exploring the intricate biochemistry of cells in response to different conditions, such as stress or nutrition. By fluxomics and metabolomics, a global remodeling of the carbon and energy metabolism in shikimate producing strains can be exhibited. In 2017, by fluxomics and metabolomics analysis, Rodriguez et al. [43] analyzed an engineered shikimate-producing E. coli strain AR36 with a high-copy plasmid expressing six enzymes. It showed more glucose was consumed and directed into shikimate pathway in AR36 which avoided intermediates be converted into more toxic products. In addition, pentose-phosphate pathway in AR36 was strongly activated to supply E4P and balance the NADPH requirements for shikimate synthesis. From the results of fluxomics and metabolomics, novel candidate targets of genetic modification can be revealed to further improve the shikimate titer.

Conclusions and perspectives

Microbial production of shikimate has been carried out for decades, and most producing strains were obtained by metabolic engineering of wild-type microorganisms, such as E. coli. Apart from glucose, other carbon source, such as glycerol [8, 44] and sorbitol [45], were also employed for shikimate production in E. coli. Up to now, the best E. coli strain can produce 84 g/L shikimate with a yield of 0.33 mol/mol glucose [20]. With the help of novel technologies, shikimate producing strain can be further optimized by dynamically regulated expression of aroK, and stably expression of rate-limiting genes on the chromosome. However, until now, only a few synthetic biology tools were successfully applied in shikimate production of E. coli. In Corynebacterium glutamicum, the clustered regularly interspaced short palindromic repeats interference (CRISPRi) has been applied to regulate gene expression at the transcriptional level and adjust the metabolic flux in shikimate synthetic pathway. The titers of shikimate reached 7.76 g/L in 250 mL flasks and 23.8 g/L in 5-L fermentor [46]. In addition, by an aerobic, growth-arrested and high-density cell reaction, the shikimate production in recombinant C. glutamicum could achieved a titer of 141 g/L and a yield of 51% (mol/mol) from glucose [47]. In the future, CRISPRi and growth-arrested cell reaction can also be attempted in shikimate production of E. coli.

It is noteworthy that most shikimate producers were obtained by rational metabolic engineering, which relies on the genetic tools available for target microorganism. However, for non-model microorganisms, the development of novel genetic tools is costly and time-consuming. As a result, shikimate producers were almost restricted to E. coli, and only a few attempts were conducted in Bacillus subtilis and C. glutamicum. In another hand, the classical approach based on random mutagenesis is often a viable method to improve the phenotype of non-model strains. Development of an effective screen method of shikimate may facilitate the application of this classical approach in engineering other shikimate producers. By transcriptome analysis, a biosensor sensitive to shikimate may be obtained, which can facilitate the engineering of a shikimate producer. This method has been successfully applied to the discovery of 1-butanol sensors [48]. In addition, l-tyrosine production in E. coli was linked with synthesis of the black and diffusible pigment melanin by introducing a tyrosinase, and an effective screen method was developed in isolating l-tyrosine overproducing strains [49]. Similarly, if shikimate can be transformed into a chemical compound with color or other detected signals, screen of shikimate producers will be conveniently and quickly.

Abbreviations

NADPH: 

nicotinamide adenine dinucleotide phosphate

G6P: 

glucose-6-phosphate

F6P: 

fructose-6-phosphate

F1-6P: 

fructose-1, 6-bisphosphate

G3P: 

glyceraldehyde-3-phosphate

6PGL: 

6-phosphoglucono-lactone

6PG: 

6-phosphogluconate

2D3D6PG: 

2-dehydro-3-deoxy-d-gluconate-6-phosphate

RU5P: 

ribulose-5-phosphate

X5P: 

xylulose-5-phosphate

R5P: 

ribose-5-phosphate

S7P: 

sedoheptulose-7-phosphate

E4P: 

erythrose-4-phosphate

PEP: 

phosphoenolpyruvate

PYR: 

pyruvate

ACoA: 

acetyl coenzyme A

OAA: 

oxaloacetic acid

DAHP: 

3-deoxy-d-arabino-heptulosonate-7-phosphate

DHQ: 

3-dehydroquinate

DHS: 

3-dehydroshikimate

S3P: 

shikimate-3-phosphate

CHA: 

chorismate

EPSP: 

5-enolpyruvylshikimate-3-phosphate

l-Phe: 

l-phenylalanine

l-Tyr: 

l-tyrosine

l-Trp: 

l-tryptophan

CIChE: 

chemically induced chromosomal evolution

AHL: 

3-oxohexanoylhomoserine lactone

Declarations

Authors’ contributions

QL and QQ developed the concept and edited the paper. PG, XF, and QL wrote the paper. All authors read and approved the final manuscript.

Acknowledgements

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Ethics approval and consent to participate

Not applicable.

Funding

This work was supported by the National Natural Science Foundation of China (31600066, 31100088, 31600148), the Shandong province science and technology development plan (2013GSF12006), the Shandong Excellent Young Scientist Award Fund (BS2014YY031), the Shandong Provincial Natural Science Foundation (ZR2016CB20, ZR2016CL02), and State Key Laboratory of Microbial Technology Open Projects Fund (M2016-10).

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Authors’ Affiliations

(1)
School of Biological Science and Technology, University of Jinan
(2)
State Key Laboratory of Microbial Technology, Shandong University

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