Cellular factories for coenzyme Q10 production
© The Author(s) 2017
Received: 26 October 2016
Accepted: 10 February 2017
Published: 2 March 2017
Coenzyme Q10 (CoQ10), a benzoquinone present in most organisms, plays an important role in the electron-transport chain, and its deficiency is associated with various neuropathies and muscular disorders. CoQ10 is the only lipid-soluble antioxidant found in humans, and for this, it is gaining popularity in the cosmetic and healthcare industries. To meet the growing demand for CoQ10, there has been considerable interest in ways to enhance its production, the most effective of which remains microbial fermentation. Previous attempts to increase CoQ10 production to an industrial scale have thus far conformed to the strategies used in typical metabolic engineering endeavors. However, the emergence of new tools in the expanding field of synthetic biology has provided a suite of possibilities that extend beyond the traditional modes of metabolic engineering. In this review, we cover the various strategies currently undertaken to upscale CoQ10 production, and discuss some of the potential novel areas for future research.
KeywordsCoenzyme Q10 Isoprenoid Antioxidant Industrial biosynthesis Protein engineering Synthetic biology
CoQ10 is the only lipid-soluble antioxidant produced by humans, and it localizes to almost every membrane, ranging from mitochondrial membranes to that of very low density lipoproteins (VLDL) . This solubility means that CoQ can protect lipoproteins and lipids from peroxidation and oxidative damage . CoQ10 also serves alongside other antioxidants, such as vitamins C and E, to combat free-radical damage arising from energetic mitochondrial reactions [9, 10]. Given its myriad functions and physiological importance, it is not surprising that CoQ deficiency can result in numerous diseases.
In model organisms, such as S. cerevisiae and S. pombe, CoQ deficiency is not lethal but results in growth defects on minimum medium, and a heightened sensitivity to oxidative stress [11–15]. In Caenorhabditis elegans, CoQ deficiency leads to GABA neuron degeneration, and in Drosophila melanogaster, it can cause mitochondrial stress and neuronal apoptosis [16, 17]. In humans, CoQ10 deficiency has been implicated in various diseases involving muscle and neural development, with the severity of the disease correlated with the acuteness of the CoQ10 shortfall . These diseases may manifest in conditions such as central nervous system (CNS) dysfunction, myopathy or cardiomyopathy, among others [19–22]. The oxidative damage associated with impaired CoQ10 function has also been implicated in numerous clinical phenotypes [18, 23–25].
By virtue of its therapeutic relevance, CoQ10 is of particular importance in the biomedical and health supplement scene. Oral CoQ10 supplements are often prescribed alongside treatments for various diseases . One example is its co-administration with HMG-CoA (3-hydroxy-3-methylglutaryl-coenzyme A) reductase (HMGR) inhibitors, widely used cholesterol-lowering drugs otherwise known as statins. HMGR catalyzes the formation of mevalonic acid, the precursor for cholesterol and CoQ10 biosyntheses . Patients using statins show lower blood levels of CoQ10, and this justifies the need for CoQ10 supplementation to reduce the cardiomyopathy risk associated with statin use [27–30]. The presence of CoQ10 is however implicated in resistance to chemotherapeutic drugs, and this calls for caution in administering CoQ10 alongside certain agents [31, 32].
CoQ10 production decreases with aging , as does the antioxidant capability of the cell. Increased oxidative stress in aging cells may be ameliorated with dietary supplementation of CoQ10 . Indeed, CoQ10 has garnered great popularity as an antioxidant in moisturizers, anti-wrinkle and anti-aging skin care treatments [35–37]. With the growing demand for skin care cosmetics and public awareness of the importance of antioxidants, we will likely see an increase in the demand for CoQ10 products on the market quite quickly . Given that CoQ10 is endogenously synthesized, there should be fewer unwanted side effects from its therapeutic use as compared with other synthetic compounds, and this has been supported by tolerability studies for high CoQ10 doses . Hence, attention has surged in the therapeutic use of CoQ10 in non-curable diseases challenging modern societies including Alzheimer’s, Huntington’s and Parkinson’s, and cardiovascular diseases [40–42].
Industrial production of CoQ10
The range of uses for CoQ10 across the pharmaceutical and cosmetics industries has meant that there is great commercial interest to scale up the production of CoQ10. Frederick Crane first isolated CoQ10 from a bovine heart source in the late 1950s . Since then, industrial attempts to produce CoQ10 have centered on animal tissue extraction, semi-chemical synthesis, and microbial fermentation [44, 45].
The chemical synthesis of CoQ10 has typically involved solanesol as a starting substrate and the source of the isoprenoid tail, and this is carried out before it is combined with the quinone head . However, as with most chemical processes, there are numerous costs associated with such high-energy catalysis reactions because of the need for expensive substrates and because of the significant chemical waste generated from its production [47–49]. The chemical synthesis of CoQ10 also lacks stereoselectivity, and this makes it difficult to separate optical isomers to obtain the all-trans biologically viable isomer .
Owing to these difficulties, microbial biosynthesis has become a preferred avenue of CoQ10 production. The cell-based catalysis of compounds does not require harsh catalytic conditions of heat and pressure that typify many chemical synthesis processes. Furthermore, the production costs tend to be lower, cheap growth media provides an appropriate substrate, and expensive co-substrates can be recycled [48, 51]. A living cellular system is also scalable, and the precision of the cellular catalytic machinery circumvents the problems of stereoselectivity [52, 53]. Furthermore, unlike with chemical processing, altered genetics does not significantly affect the operating costs, meaning that the efforts associated with constructing a high-titer-producing organism are worthwhile. Through microbial biosynthesis, metabolic engineering approaches can be used to increase the titer of CoQ10 and overcome some of the limiting steps along the biosynthetic pathway.
Metabolic engineering approaches initially used chemical mutagenesis-based selection and chemical engineering procedures that centered on manipulating substrate flux; however, the field has since expanded to include other strategies from a genetics standpoint [48, 54]. The process varies depending on promoter choice and strength, cassette copy number, and the localization or tethering of enzymes to scaffolds [55, 56]. The choice of cassette and promoter are typically host dependent, given that promoter strength and usability rely on a species-specific genetic environment and functionality. Furthermore, enzymes involved in the tail end of CoQ10 production are localized in the mitochondria, leading to models that propose the involvement of a membrane-bound complex containing multiple polypeptides of the CoQ10 biosynthesis enzymes .
Improving flux remains one of the most straightforward methods to increase yield [48, 58]. Typically, this involves finding and circumventing rate-limiting steps in biochemical pathways and then employing strong promoters to increase the expression of key pathway genes to direct biochemical flux. A parallel option entails knocking down the expression of genes in alternate pathways that branch off the pathway of interest, and this can be concomitantly administered, with care taken to ensure that these manipulations do not undermine cellular viability and robustness. Alleviating chemical bottlenecks that might hamper the production of the desired compound can also be achieved by including genes that reconstitute cofactors, such as NADPH and S-adenosyl methionine (SAM). These cofactors play essential roles in numerous biochemical pathways [54, 59]. Overall, it is clear that close scrutiny and careful optimization of biosynthetic pathways can optimize and direct the metabolic flux.
Biosynthesis of CoQ10
Entry points to CoQ10 biosynthesis
The engineering concept of ‘push and pull’ to divert metabolic flux implicates that both the inflow and outflow reactions must be increased synchronously, otherwise an accumulation of one product will limit the flux and cause an imbalance in the system. Therefore, it is crucial to understand the species-specific biosynthetic pathways that lead to CoQ10 production. There are several biosynthetic pathways of concern, each of which we will address separately.
Rate-limiting steps in biosynthesis of the isoprenoid chain
The first pathway provides the precursors for synthesizing the isoprene tail; if using a prokaryotic system, this is achieved through the MEP pathway. The MEP pathway starts with the interaction between G3P and pyruvate to form 1-deoxy-d-xylulose 5-phosphate (DXP) (Fig. 2), which is reported to be the major limiting step in the formation of the isoprene tail . Indeed, efforts to increase the prokaryotic expression of carotenoids (which share the isoprenoid precursor pathway of MEP) have focused on improving the first catalytic step of DXP formation. Under such contexts, 1-deoxy-d-xylulose-5-phosphate synthase (DXS) and 1-deoxy-d-xylulose 5-phosphate reductoisomerase (DXR) are typically overexpressed to improve the catalytic formation of DXP and its subsequent conversion to MEP . These reactions eventually yield isopentenyl diphosphate (IPP), which is used to initiate isoprene chain elongation in the isoprenoid pathway. Similar efforts can be co-opted for the production of CoQ .
Conversely, in the eukaryotic platform, the mevalonate pathway begins with acetyl-CoA and ends with the similar production of IPP (Fig. 2). Midway through the pathway is the catalysis of HMG-CoA to mevalonate by HMGR, the target of statins. Unlike with statins, however, which seek to reduce HMGR activity, here aiming to increase its activity instead, so as to increase flux to the IPP pathway. Indeed, the lower Km values of the downstream IPP pathway enzymes (farnesyl transferase and geranylgeranyl transferase) imply that the enzymatic reactions catalyzed (by enzymes including farnesyl and geranylgeranyl transferases) will reach saturation before that of HMG-CoA [7, 64]. This concept of exploiting HMGR for increased metabolic production is common; for example, a truncated HMGR lacking its inhibitory site can delay enzyme saturation [65, 66]. Regardless of the pathway source, downstream signaling leads to IPP and its isomer dimethylallyl diphosphate (DMAPP) (Fig. 2). IPP and DMAPP combine to form geranyl diphosphate (GPP), and this compound is sequentially lengthened by additional IPP moieties to form farnesyl diphosphate (FPP), geranylgeranyl diphosphate (GGPP), and the subsequent n-isoprene tail . Depending on the host organism, components of the IPP pathway are also crucial branch points for several important compounds, which makes optimization of the isoprenoid pathway a lucrative endeavor (and one that has been done extensively in S. cerevisiae ). GPP can branch off and undergo reactions that lead to the formation of monoterpenoids; FPP, likewise, can form steroids and cholesterol; and GGPP can form carotenoids and retinoids before decaprenyl diphosphate . Studies suggest that inhibiting these various branch points could direct metabolic flux from GPP towards decaprenyl diphosphate, as seen in FPP yields through the downregulation of squalene synthase .
CoQ10 production rates are thought to be limited by the availability of IPP, since the quinone head is produced from the relatively abundant chorismate or tyrosine [68, 69]. However, the tail length of CoQ, which contains varying numbers of IPP units, may also be rate-limiting. Although CoQ can be produced by multiple microbial platforms, each microbe synthesizes CoQ with a characteristic number of the IPP units. For example, S. cerevisiae and E. coli produce CoQ6 and CoQ8, respectively, whereas S. pombe and humans naturally produce CoQ10 . Evidence shows that polyprenyl diphosphate synthase is the key determinant of IPP chain length, as this enzyme catalyzes polyisoprenoid tail extension . In comparison, the polyprenyl diphosphate:4-HB transferase (UbiA/Coq2), which joins the tail and the quinone head, is promiscuous in terms of its isoprenoid chain length choice . Therefore, any attempts to utilize a heterologous, non-native host to produce CoQ10 would need to optimize or replace the polyprenyl diphosphate synthase to achieve the appropriate tail length (10 isoprene subunits). Many groups have in fact approached this problem by introducing the decaprenyl diphosphate synthase (DPS) gene [72–74].
Rate-limiting steps in biosynthesis of the aromatic quinone group
Another likely avenue to increase metabolic flux is through the optimization of the aromatic quinone core. The precursor that contributes to the head group is 4-hydroxybenzoic acid (PHB or pHBA), which, in prokaryotes , forms from the condensation of phosphoenolpyruvate (PEP) and erythrose-4-phosphate, past shikimate, to chorismate and then PHB (Fig. 2) . Chorismate is a branch point metabolite necessary in the formation of folate and aromatic amino acids (tyrosine and phenylalanine) . Thus, it would be advantageous to increase the catalytic conversion of chorismate to PHB for both proper cell growth and metabolic flux .
Earlier work has also shown that CoQ production can be increased by the overexpression of chorismate pyruvate lyase (UbiC) in E. coli alongside the overexpression of several key catalytic enzymes that tend to limit CoQ production rates . Similarly, an eightfold increase in CoQ10 was reported in the native producer Sporidiobolus johnsonii . In other organisms, however, the source of PHB differs: mammals produce PHB from tyrosine, whereas yeast and plants use both chorismate and tyrosine (yeast) or a β-oxidation-like mechanism using p-hydroxycinnamic acid (plants) [60, 61]. In these cases, the exogenous addition of PHB can increase CoQ10 production; albeit, production rates are still reliant on the supply of IPP, which is rate-limiting [79, 80].
Rate-limiting steps in condensation of isoprenoid tail to the quinone group
In the final stages, polyprenyl-4-hydroxybenzoate transferase is required to combine the moieties to form the 4-hydroxy-3-polyprenylbenzoate precursor [60, 61, 81]. The isoprene group varies depending on the species, and the ring group undergoes a series of modifications (decarboxylation, hydroxylation and methylation) before the complete CoQ is synthesized. Flux is primarily determined by polyprenyl diphosphate transferase, and its overexpression in E. coli can generate a 3.4-fold increase in CoQ10 production . Conversely, the overexpression of genes involved in ring modification leads to only a minor increase in CoQ10 content in E. coli and S. pombe, even if several genes are overexpressed together (in S. pombe) .
Overall, these findings suggest that the bottleneck in CoQ10 production still lies predominantly with IPP flux and is then limited by the quinone head formation and the required transfer steps .
Host platforms employed for CoQ10 production
Traditionally, most efforts have focused on native CoQ10 producers, and screening for mutant strains that show higher CoQ10 yields. However, there is great potential in exploiting heterologous hosts armed with extensive toolbox like E. coli and S. cerevisiae into platforms for CoQ10 production. Here, we explore the benefits and disadvantages of both native and non-native producers.
Native producers of CoQ10
Native producers have an advantage over heterologous hosts, as they do not produce any unwanted CoQ species (CoQ8 or CoQ9), which vary by chain length that and are specific to the host. The additional costs required to extract and separate CoQ10 from other shorter-tailed CoQ products may shift the balance in favor of using native producers of the enzyme. Indeed, these other, shorter products will compete for the biochemical flux and affect the yield of the desired CoQ10 .
Several native producers of CoQ10 have been identified or optimized as candidates for CoQ10 production, including S. pombe, S. johnsonii, Rhodobacter sphaeroides and Agrobacterium tumefaciens [78, 83, 87, 88]. Several other organisms, including Pseudomonas, Paracoccus bacteria, Candida and Saitoella yeasts also produce CoQ10 natively but have not been sufficiently characterized as producing hosts, and many require the inclusion of expensive constituents in the growth media for proper function. Here, we will explore four of the most feasible native hosts for CoQ10 production: (1) S. pombe, (2) S. johnsonii, (3) R. sphaeroides and (4) A. tumefaciens.
Native producer: Schizosaccharomyces pombe
Comparison of yield and methodologies employed in the native producers of coenzyme Q10
Native hosts for coenzyme Q10 production
Yield (mg/g DCW)
Overexpression of native HMGR gene
Addition of exogenous HBA
Overexpression of multiple MEP pathway genes coupled with fine-tune of quinone modification pathway genes
Ectopic expression of DXS and DPS genes in optimized media
More success has been attained in the production of ricinoleic acid, a fatty acid from castor oil in S. pombe , and it may be possible to hijack this system to co-produce both CoQ10 and fatty acids, with CoQ10 participating as a lipid-soluble antioxidant to protect polyunsaturated fatty acids (PUFA) against oxidative damage during storage. A similar approach has been explored in Yarrowia lipolytica, an oleaginous yeast, even though Y. lipolitica is a non-native producer of CoQ10, and this approach is currently undergoing approval for production . The approach capitalizes on the same IPP pathway to produce carotenoids, and it has been suggested that this may lead to a reduction in flux and the generation of alterative products that will include CoQ10. Indeed, high CoQ10 selection based on mutant strains of Protomonas extorquens and R. sphaeroides are correlated with low carotenoid production .
Native producer: Sporidiobolus johnsonii
Sporidiobolus johnsonii was recently discovered as a natural producer of CoQ10 at 0.8–3.3 mg/g dry cell weight (DCW) (Table 1), which, in an unmodified strain, suggests a great potential as compared with the current top native (A. tumefaciens; 6.92–9.6 mg/g DCW) and heterologous (E. coli; 2.4 mg/g DCW; see below) producers [78, 95]. Efforts to use S. johnsonii as a production host at an industrial level have achieved 10 mg/g DCW; albeit, this yield involved exogenous PHB in the media . Other mutagenesis attempts led to a mutant UF16 strain with 7.4 mg/g DCW .
Native producer: Rhodobacter sphaeroides
Rhodobacter sphaeroides is a photosynthetic bacterium  initially selected by screening mutant strains based on color change, which indicated a reduction in carotenoid production, and thus, by correlation, an increase in CoQ10 . Promoter-based balancing of metabolic flux increased the production to 7.16–8.7 mg/g DCW [60, 98], and a recent study reported production as high as 12.96 mg/g DCW  (Table 1). However, other efforts to increase MEP pathway flux did not translate well into increased CoQ10 production, probably due to an accumulation of toxic intermediates . R. sphaeroides, however, is reported to have limited growth rates, even when grown in optimal fermentation conditions . This, coupled with other difficulties (such as requiring anaerobic and light conditions to produce higher CoQ10 titers) makes R. sphaeroides a less ideal host choice [100, 101].
Native producer: Agrobacterium tumefaciens
Agrobacterium tumefaciens is a Gram-negative bacterium that is widely used as a transmission vector tool for plant genetic modification . Besides R. sphaeroides, it is one of the top producers of CoQ10 at 6.92–9.6 mg/g DCW [61, 83] (Table 1). Initial attempts to increase its production yield involved selecting cells based on their growth on inhibitory precursor analogues . Later efforts involved targeting the overexpression of IPP pathway genes, especially DXS . A. tumefaciens, however, produces unwanted exopolysaccharides, which increases the viscosity of the sample and affects CoQ extraction [88, 104].
Issues with native hosts
Native producers initially have higher CoQ10 yields as compared with non-native producers. However, few, if any, of the biosynthetic pathways leading to CoQ10 production have been optimized in these organisms, and the toolbox of promoters and genetic modules needed for effective tuning of native producers is lacking [84, 98]. Neither A. tumefaciens nor R. sphaeroides produce sufficient quantities of CoQ10 to meet current market demands, and this has led to higher prices of CoQ10 . Furthermore, rather than optimizing the hosts, recent efforts in the field have been to develop toolkit pieces, such as promoter-regulated vectors [98, 99], or to determine ways to select for particular strains after mutagenesis ; only a few studies have attempted to harness metabolic engineering (to increase gene expression) or protein engineering [83, 87]. Other efforts garnered toward a more immediate solution have had to rely on the addition of precursors to increase yield, and this comes at a higher cost and therefore remains less feasible [106, 107].
One method to circumvent the shortfalls seen with native producers is to use a heterologous platform that hosts high pliability towards genetic manipulation . Heterologous systems are often avoided because of the production of unwanted CoQ species, the lengths of which are influenced by the chain length of the host organism and the nature of the heterologous polyprenyl diphosphate synthase; this is particularly complicated, as the synthases may function as either homo or hetero-dimers . However, organisms that possess a large toolkit for host engineering are desirable, and their use holds promise to overcome some of the limitations seen with native hosts, assuming that these species can be appropriately optimized to produce CoQ with the correct chain length. In light of this, here, we explore two options—E. coli for prokaryotes and S. cerevisiae for eukaryotes —as well as the utility of plants as heterologous hosts.
Heterologous host: Escherichia coli
The success in engineering E. coli to produce human insulin paved the way for a new frontier in metabolic engineering . E. coli grows fast and is cheap to culture, and the large range of molecular tools, coupled with an extensive knowledge of its genetic, cellular and metabolic profiles, makes it a widely used production platform. Indeed, most compounds produced by metabolic engineering of E. coli command a good chance of success [108, 111, 112]. Hence, it is not surprising that strategies developed and optimized for the metabolite production in E. coli can be exploited for the production of CoQ10. However, E. coli natively produces CoQ8 not CoQ10 , and efforts to produce CoQ10 involved the addition of DPS from a native producer (A. tumefaciens or G. suboxydans) [113, 114]. Yet, despite producing CoQ10, the bacteria also produced CoQ products of variable tail lengths (CoQ8 and CoQ9) . This was solved by knocking out the octaprenyl diphosphate synthase (IspB), which led to a minimal production of the other CoQ variants . Other efforts used a DPS of greater stringency, and found that DPS from R. sphaeroides was more discerning in producing CoQ10 than DPS from A. tumefaciens .
Methods to improve the titer of CoQ10 in E. coli sought to increase the flux from the MEP pathway toward IPP [94, 116], while others reconstructed the complete mevalonate pathway to divert flux without encountering interference from negative regulators, such as HMGR by FPP in its native context [117, 118]. Although this reconstruction successfully increased CoQ10 yield, there was a metabolic bottleneck at the top end of the pathway involving mevalonate conversion (Fig. 2). When the lower part of the pathway was ectopically expressed, a twofold increase in yield was observed; yet, expression of the entire pathway led to only a 1.5-fold increase.
Comparison of yield, benefits and limitations in the heterologous producers of coenzyme Q10
Bacteria (E. coli)
Yeast (S. cerevisiae)
0.45–3.63 mg/g DCW
12.3 µg/g DCW
Suitability for human consumption
Generally recognized as safe (GRAS)
Produced CoQ10 proposed to serve as direct dietary supplement
Dependency on harvesting time
Extensive knowledge and tool-kit available for genetic, metabolic, protein engineering
Require large plot of arable land
Mixed chain length products produced and increase cost of purification of CoQ10
Inability to sidestep metabolic bottlenecks to induce high production level
Heterologous host: Saccharomyces cerevisiae
Another popular host in metabolic engineering efforts is the budding yeast, Saccharomyces cerevisiae. As a model organism, the genome of S. cerevisiae has been extensively studied and modified, and there are many already optimized tools for efficient gene expression and genetic building blocks for promoters and other regulatory elements [123, 124]. S. cerevisiae has a fast growth cycle of about 90 min, and has a high cultivable density as compared with bacteria. The budding yeast can also perform homologous recombination and compartmentalize subcellular processes, making it an excellent host for metabolic engineering purposes. It is also a ‘Generally Recognized As Safe’ (GRAS) organism (United States Food and Drug Administration) (Table 2), and this reduces any potential complications that could arise from its use in the production of a health supplement or a nutritional product . Most importantly, the IPP pathway has been extensively optimized in S. cerevisiae .
Unfortunately, similar to E. coli, S. cerevisiae natively produces CoQ6 not CoQ10 . Early attempts to delete the COQ1 gene in S. cerevisiae and replace it with DPS from G. suboxydans under the COQ1 promoter reportedly yielded 12.3 µg/g DCW . However, DPS tends to require a heterodimer formation for proper function and, when expressed, may instead form dimers with native polyprenyl diphosphate synthases to produce products of differing lengths  (Table 2). An alternative approach would be to examine the functionality of the DPS enzyme by fine-tuning is length-determining function. This would be advantageous on several levels, given that the DPS reaction is a limiting step in CoQ10 production. Indeed, polyprenyl diphosphate synthase belongs to the protein family of prenyl-synthases, many of which are involved in generating the polyisoprenoid chain components of commercially interesting compounds like alkaloids and monoterpenes [7, 68]. If successful, this will conceptually sidestep the aforementioned problem of homodimerization of overexpressed heterologous DPS. We thus propose that an understanding of the mechanism by which polyprenyl diphosphate synthase determines chain length may allow for the production of CoQ10 in S. cerevisiae without generating off-target products.
Heterologous host: plants
Another suggested strategy for CoQ10 production is the use of plant hosts for the ease of CoQ10 supplementation into the diet . Such efforts are currently underway, in conjunction with other nutritional supplements, such as vitamin A (beta-carotene) in ‘golden rice’ (Oryza sativa), which can be likewise co-opted in the context of CoQ10 given that carotenoid production also employs the IPP pathway [38, 126]. However, the political hassle associated with the commercialization of ‘golden rice’ or other genetically modified foods is expected to be a counter-rationale for the biosynthesis of CoQ10 in plant hosts [127–130]. Furthermore, because CoQ10 is also prescribed for deficiency-associated diseases and as an ingredient in various cosmetics, it must be properly extracted. Plant production hosts also have further technical obstacles, such as difficulties in engineering and manipulating the plant host; the need for large plots of expensive, arable land; a dependency on harvesting time; and the risk of unpredictable climate conditions in sync with market demand. It is for these various reasons that plant hosts are not deemed economically viable for CoQ10 production. These challenges, along with the comparatively less effort in the scientific community to exploit plant hosts, has meant that microbial hosts are a better choice for CoQ10 production .
Potential future engineering approaches for CoQ10 production
There have been frequent attempts to engineer key enzymes within the CoQ10 pathway to increase the yield, including attempts to regulate IPP chain length. Recent interest in synthetic biology—which involves the fine-tuning of biosynthetic processes by controlling the genome and global organellar organization—promises to further revolutionize traditional bioengineering approaches. Several of the newly innovated methodologies will be discussed in the context of improving CoQ10 biosynthesis in the following sections.
Decaprenyl diphosphate synthase
In essence, there are two ways to induce a non-native heterologous host to make CoQ10: (1) Engineer the polyprenyl diphosphate synthase—which is solely responsible for chain length—to assume the function of DPS, or (2) introduce a DPS into the host and delete the native polyprenyl diphosphate synthase. The latter is based on earlier reports, where CoQ of differing tail lengths have been produced by heterologous hosts [2, 15, 71, 74]. Specifically, the introduction of ddsA and sdsA into E. coli from G. suboxydans and Rhodobacter capsulatus, respectively, can result in the formation of CoQ10 (and also CoQ9) [74, 113, 132]. PHB-polyprenyl diphosphate transferase (COQ2) lacks the specificity of polyprenyl diphosphate synthase, as it is able to transfer isoprenoid tails of varying length; e.g., E coli UbiA can utilize isoprenoid chains of 5–10 residues in length. Based on this promiscuity, the PHB:polyprenyl diphosphate transferase is expected not to be a limiting factor in engineering a non-native host for the production of CoQ10.
However, engineering a heterologous host via the introduction of exogenous DPS suffers from challenges that cannot, as yet, be explained. Even with the efforts of removing endogenous CoQ production by deleting the native polyprenyl diphosphate synthase gene, there remains a lack of stringency in these reactions. For example, when the DPS gene from G. suboxydans is expressed in E. coli, deletion of the native IspB gene only reduces the production of CoQ8 and CoQ9; even though it still predominantly produces CoQ10 [74, 113]. A further complication to the engineering effort lies with the complex formation of polyprenyl diphosphate synthases, which function as homodimers (IspB in E. coli, Coq1 protein in S. cerevisiae, and DdsA in G. suboxydans) or heterotetramers (Dps1-Dlp1 in S. pombe and HsPDSS1-HsPDSS2 in humans) [133, 134]. For instance, when heterologously expressed in E. coli, COQ1 from S. cerevisiae can replace IspB, an otherwise essential gene for the production of CoQ6 [70, 132]. However, when COQ1 from S. cerevisiae is expressed in Dlp1-deficient S. pombe, it rescues the dlp1 deletion by forming a heterodimer with Dps1 to produce CoQ10 . Similarly, Dps1 or Dlp1 in S. pombe can complex with defective IspB mutants to restore functionality in E. coli . In such cases, heterologous expression of DPS creates artificial interactions with the host DPS, calling for caution in considering CoQ10 production through host chassis engineering.
Polyprenyl diphosphate synthase residue functionality
Polyprenyl diphosphate synthases catalyze the formation of the polyprenoid tail by adding IPP units to an allylic diphosphate base . These enzymes are categorized depending on the final carbon chain length of the synthesized product: class I for C10–20, class II for C30–35, class III for C40–50, and class IV for even longer products . Class IV synthases also catalyze some cis-configuration double bonds, whereas the other classes all catalyze trans-configuration bonds. Synthases from class II and III categories should be chosen when studying tail length determination because these classes reflect both the final carbon chain length product and possess a similar stereo configuration of double bonds to that of DPS, with an average homology of 30–50% between the polyprenyl diphosphate synthases and DPS enzymes [113, 133].
Elongation of the polyprenyl chain takes place in a ‘tunnel’ between helices H and D, where A76 (in T. maritime) lies at one end near the DDXXD motif and Phe-132 (Met-135 in E. coli) lies at the other end; this Phe residue is thought to serve as a cap-like residue [136, 138]. Mutating Phe-132 to Ala can increase the chain length from C40 to C50, which suggests a method to increase chain length synthesis by polyprenyl diphosphate synthases. This was confirmed by others, who, using a cis-type prenyltransferase, found that substituting leucine for alanine increased the chain length from C55 to C70 . In addition to Met-135 in E. coli, another residue, Met-123, compositely serves to limit the elongation of the IPP chain; hence, Met-123 and Met-135 are proposed to contribute to a ‘double-floor’ (‘floor’ is synonymous with ‘barrier’), as opposed to the ‘single-floor’ created by Phe-132 in T. maritime .
Efforts to engineer the polyprenyl diphosphate synthases in a host that is highly malleable to genetic and metabolic engineering, such as S. cerevisiae, may provide a prospective avenue to increase the yield of CoQ10. A sequence alignment of polyprenyl diphosphate synthases from various organisms shows high similarity at the amino acid level in the helices that constitute the chain elongation tunnel (Fig. 3b). Such high conservation means that functional studies conducted with T. maritime polyprenyl diphosphate synthases could serve as a reference to guide engineering efforts in other species, such as COQ1 from S. cerevisiae.
Spatial metabolic organization with synthetic compartmentalization
Metabolic production of CoQ10 may also be increased by manipulating the spatial organization of the enzymes in the cell. This is particularly important when faced with potential off-target reactions or when the accumulation of products results in toxicity [140–142]; albeit, clinical studies indicate that toxicity from CoQ10 supplementation is not a huge concern .
Some of the more common ways to recruit the pathway into a localized complex involves the use of protein scaffolds or linkers to tether the pathway enzymes to proteins of interest [143–147]. This manipulation concentrates the substrate close to the enzyme, and may favor the forward metabolic flux, as an intermediary metabolite may be captured and shunted into the next step of the pathway. Conceptually, such spatial arrangement reduces the emergence of unwanted by-products, especially with more promiscuous enzymes.
When stoichiometric ratios of sequential reactions are of relevance, tethering also helps to modulate the ratio of enzyme to protein . However, tethering may cause rigidity in the protein scaffold or direct enzyme fusions that could affect enzymatic function. However, these issues can be overcome with the use of a linker sequence, which provides increased flexibility to orientate the direction of the reaction and lower the risk of potential disruptions to enzyme folding.
In cases where modifications are made to the pre-combined quinone head and isoprene tail, the enzymes required are already localized in the mitochondria in a membrane-bound complex (eukaryotes) or on the cell membrane (prokaryotes); although, there is, as yet, no evidence for a complex in prokaryotes [11, 158]. However, the other pathways involved in generating the precursor head and which lack bio-orthogonal chemistry are still candidates for spatial organization; for example, the mevalonate pathway, which leads to the IPP precursor, could be one option. Indeed, SH3 ligands and domains are used to link HMG-CoA synthase with HMGR to prevent the accumulation of HMG-CoA and reduce its associated cytotoxicity .
Chorismate could be another option. As mentioned earlier, chorismate is a branch point metabolite and thus its recruitment could be spatially separated so as to prevent its conversion into off-target aromatic amino acids. This segregation would be advantageous, as this pathway is essential and cannot be completely disrupted. If a plant platform were to be used, attention would have to be given to the alternate and possibly competing products of GPP, FPP and GGPP. In non-native hosts, CoQ products will present with a range of tail lengths because of the use of the promiscuously inserted decaprenyl diphosphate synthase and its interactions with host polyprenyl diphosphate transferase. These are some possible candidate biosynthesis modules that may benefit from the manipulation of spatial organization and can be optimized in future experiments.
CoQ10 is a valuable and commercially important product that has yet to be produced to a level that can support market demands. This review gives an overview of the native and heterologous hosts reported thus far for the production of CoQ10. Currently Rhodobacter sphaeroides triumphed as the native host in producing 12.96 mg/g DCW of CoQ10. On the other hand, the most widely used workhorse for industrial production of valuable compounds—E. coli—only achieved 3.63 mg/g DCW as the most productive of the heterologous hosts by far. Thus, use of native hosts still remains as the best option for industrial scale production of CoQ10. However, with new tools and progress made in recent years with the advent of synthetic biology, CoQ10 production may stand a chance to be revolutionized. It will be exciting to expect future new technological breakthroughs in this field to take production to new levels either in native or heterologous producers.
- CoQ10 :
coenzyme Q with chain containing 10 isoprene subunits
very low density lipoproteins
central nervous system
prenyl diphosphate synthase, subunit 1
1-deoxy-d-xylulose 5-phosphate reductoisomerase
decaprenyl diphosphate synthase
- PHB or pHBA:
dry cell weight
generally recognized as safe
SLQE, MK, and ESC wrote the manuscript; TST performed COQ1 modeling; ESC coordinated the work. All authors read and approved the final manuscript.
We apologize to colleagues whose work we have not cited due to space constraints. We thank Rebecca A. Jackson for critically editing this manuscript, and Pallavi Tripathi for discussion. E.S.C. thank Chi Bun Ching for inclusion as a member of NUS synthetic biology initiative program, and Matthew Wook Chang for support from NUS Synthetic Biology for Clinical and Technological Innovation (SynCTI) consortium.
The authors declare that they have no competing interests.
Availability of data and materials
All data supporting the conclusions of this article are included within the manuscript. The content of this manuscript has not been published or submitted for publication elsewhere.
Data in this manuscript were not collected from humans or animals.
This work was supported by the DPRT NUS synthetic biology initiative grant (R-183-000-324-133) and a Singapore Ministry of Education Tier II Academic Research Fund (MOE2013-T2-1-112) awarded to E.S.C.
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.
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