Abstract
Polysialic acid (PSA) is a unique polysaccharide that plays critical roles in many bioprocesses, which makes it useful in a wide range of biomedical applications. The increased demand for PSA has led to considerable efforts to improve its production using bacteria, such as Escherichia coli. Bioprocess optimization and metabolic engineering have allowed the efficient production of PSA. This review aims to summarize the metabolism of PSA with an emphasis on the importance of the key pathway components. In addition, this review provides an update on state of the art PSA production using E. coli with a special emphasis on strategies of strain engineering and process development for the enhanced production of PSA.
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Introduction
Polysialic acid (PSA), a unique polymer of α-(2,8) and/or α-(2,9)-linked sialic acid (Neu5Ac) monomers, which is mainly attached onto glycoproteins, plays a major role in many biological processes (Maarouf et al. 2006; Ferrero and Aparicio 2010; Colley et al. 2014). Some bacterial pathogens possess a PSA capsule as a masking agent by mimicking the extracellular surface of mammalian cells (Muhlenhoff et al. 1998), such as Neisseria meningitidis (Bhattacharjee et al. 1975), Escherichia coli (Egan et al. 1977), Mannheimia hemolytica (Puente-Polledo et al. 1998). In mammals, PSA is involved in cell–cell and cell–matrix interactions, intermolecular interactions at cell surfaces, and interactions with other molecules in the cellular environment (Schnaar et al. 2014; Colley et al. 2014). PSA is present on the surface of numerous cells and contributes to the appropriate development, maintenance, and health of the nervous system (Sato and Kitajima 2013a, b; Schnaar et al. 2014; Colley et al. 2014). PSA accumulates on cancer cell surfaces in the later stages, which is associated with invasion and metastasis of cancer cells (Fukuda 1996; Falconer et al. 2012; Colley et al. 2014). PSA acts as an anti-adhesive molecule, plays important roles in normal mammalian organs and tissues, and promotes extraneural organ (e.g., lung, liver, testis, and placenta) development, repair, and regeneration (Stamatos et al. 2014; Ulm et al. 2013; Simon et al. 2013; Tsuchiya et al. 2014; Colley et al. 2014).
The various biological effects of PSA make it useful in a wide range of biomedical applications. PSA has been used in vaccine development to protect individuals from pathogenic meningitis (Tan et al. 2010; Colley et al. 2014). PSA can be a tumor-associated carbohydrate antigen to be used in cancer immunotherapy (Heimburg-Molinaro et al. 2011; Krug et al. 2012; Colley et al. 2014). Due to the poor immunogenicity, biodegradability, and biocompatibility of PSA, it has been proposed as the next generation for bioavailable products. Polysialylated enzymes are as effective as PEGylated enzymes in respect of prolonged activity and stability, but exhibit lower immunogenicity and antigenicity with significantly improved therapeutic functions (Gregoriadis et al. 2005). PSA has been used for the controlled release of drugs and as scaffolds in biomedical applications (Steinhaus et al. 2010; Colley et al. 2014). Polysialylation of therapeutic proteins and peptides such as insulin, asparaginase, antibody, and its fragment improved their stability and prolonged their half-life in body circulation, which may potentially improve the pharmacokinetics and pharmacodynamics of the drug molecules (Fernandes and Gregoriadis 2001; Jain et al. 2003; Constantinou et al. 2008, 2009). Antibody fragment (H17E2 Fab) with PSA conjugated had over a 5-fold increase in blood exposure and over a 3-fold higher tumor uptake compared to the unconjugated Fab (Constantinou et al. 2008). Polysialylation can increase the half-life of single-chain Fv antibody (scFv) 3.4- to 4.9-fold, resulting in a 10.6- to 15.2-fold increase in blood exposure (Constantinou et al. 2009). Polysialylation of insulin enhanced the therapeutic value of insulin by 2- to 3-fold (Jain et al. 2003). Polysialylation technology offers a promising strategy for the enhancement of the therapeutic value of peptide and protein drugs. Many polysialylated pharmaceutical proteins and peptides have undergone pre-clinical and clinical trials (Epenetos et al. 2002; Jain et al. 2003; Constantinou et al. 2008, 2009). Moreover, by treating PSA with enzymatic catalysis or chemical degradation, sialic acid has been derived from PSA which is subsequently used in pharmaceutical, food, and health-care industries. The resource availability of PSA is limited and the market price of PSA is as high as $200/g (Liu et al. 2010). In the last two decades, the feasibility of producing PSA from bacteria has focused on both industry and applied science. This review focuses on the metabolism and current state of biotechnological production of PSA by E. coli with a special emphasis on both stain engineering and process development strategies for the enhanced production of PSA.
Biosynthesis and metabolism of polysialic acid in E. coli
Many bacteria including N. meningitidis (Bhattacharjee et al. 1975), E. coli (Egan et al. 1977; Rodríguez-Aparicio et al. 1988), and M. hemolytica (previously Pasteurella haemolytica) (Puente-Polledo et al. 1998) produce PSA as their extracellular capsules consisting of linear homopolymers of N-acetyl-d-neuraminic acid (Neu5Ac) with α (2–8) or α (2–9) linkages or as linear copolymers with alternating α-(2–8)/α-(2–9)-linked polysialic acids (Ferrero and Aparicio 2010). These bacteria PSA as virulence factor mimic the mammalian PSA’s structure and can escape protection by the host’s immune system (Cress et al. 2014). E. coli is a model microorganism for investigating bacterial exopolysaccharide function and biosynthesis, especially in the case of PSA. The biosynthesis of PSA in E. coli involves the synthesis of sialic acid monomers, polymerization of PSA from sialic acid, and transportation of PSA to the cell surface (Ferrero and Aparicio 2010).
Neu5Ac is the precursor of PSA. The biosynthesis of Neu5Ac has been well characterized (Fig. 1). For the biosynthesis of sialic acid in bacteria, Neu5Ac aldolase (NanA) (Tao et al. 2011) or Neu5Ac synthase (NeuB) (Brody and Lundgren 2009; Ishikawa et al. 2010) is often used to catalyze the reaction from ManNAc to Neu5Ac. NeuB catalyzes the energy-dependent reaction of ManNAc and phosphoenolpyruvate (PEP) to form Neu5Ac (Lundgren and Boddy 2007; Boddy and Lundgren 2009). NanA catalyzes ManNAc and pyruvate to produce Neu5Ac (Li et al. 2008; Kang et al. 2012; Lin et al. 2013). Pyruvate is more readily available compared to PEP, making NanA a promising target in the engineered pathway for Neu5Ac synthesis. NanA was identified as the rate-controlling enzyme in the biosynthesis of Neu5Ac through ManNAc and pyruvate. With increased expression of NanA, a ninefold increase in Neu5Ac production was obtained (Lin et al. 2013).
In E. coli, the kps gene cluster is involved in PSA biosynthesis, modification, and transport of the bacterial PSA chains (Fig. 2) (Barrett et al. 2002; Ferrero and Aparicio 2010). The kps cluster comprises three regions: (1) kpsFEDUCS, (2) neuDBACES, and (3) kpsMT The central neuDBACES region encodes the proteins involved in the biosynthesis, activation, and polymerization of Neu5Ac (Daines et al. 2000). NeuD, a Neu5Ac 7-O (or 9-O)-acetyltransferase, acetylates Neu5Ac residues at carbon position 7 or 9 (Steenbergen et al. 2006; Cress et al. 2014). NeuA, a bifunctional enzyme with both CMP-Neu5Ac synthetase (Vann et al. 1987; Zapata et al. 1989) and O-acetylesterase activity (Liu et al. 2004), catalyzes free sialic acid to cytidine 5′-monophosphate-sialic acid, thus generating the candidate donor form of sialic acid for all known sialyltransferases. NeuA also converts most of the CMP-O-acetyl-Neu5Ac to CMP-Neu5Ac before incorporation into the polymers, and only a small amount of CMP-O-acetyl-Neu5Ac is incorporated into the polymers (Song et al. 2011). NeuS, a α-Neu5Ac α-2,8-sialyltransferase, is responsible for polymerization of a homopolymer of α-2,8-linked Neu5Ac to form PSA (Steenbergen et al. 2006; Song et al. 2011; Ferrero and Aparicio 2010). The transcriptional antiterminator RfaH regulates PSA metabolism at a transcriptional level (Bailey et al. 1997). RfaH enhanced kps expression for the synthesis of polysialic acid capsule in E. coli K92 (Navasa et al. 2014).
The kps region 1 (kpsFEDUCS) and region 3 (kpsTM) genes participate in translocation of the polysaccharide across the periplasmic space and onto the cell surface (Willis and Whitfield 2013a; Colley et al. 2014). The E. coli kpsC and kspS genes in region 1 encode β-Kdo-transferases that are involved in the biosynthesis of a poly-Kdo linker at the reducing termini of PSA, which serves as a recognition signal for translocation (Willis and Whitfield 2013b). It was reported that KpsS could increase polysaccharide production by several folds (approximately 10 to 15 times) (Andreishcheva and Vann 2006). KpsT and KpsM are the components of an ABC transporter that enables PSA transfer from the cytoplasm to the cell surface. ABC transporter-dependent assembly also requires two other characteristic components: a member of the polysaccharide co-polymerase (PCP-3) family (KpsE) and an outer membrane polysaccharide (OPX) protein (KpsD) (Willis and Whitfield 2013a; Colley et al. 2014).
Process engineering for enhanced polysialic acid production in E. coli
Process engineering was used to improve PSA production through optimizing the medium and cultivation conditions. The production of PSA in E. coli was dependent on temperature, pH value, and composition of the culture mediums as well as the control strategy for fermentation cultivation (Table 1).
E. coli K92 synthesizes different capsular polysaccharides at different temperatures. At the cell growth temperature (37 °C), E. coli K92 synthesizes PSA, which belongs to the group 2 capsule responsible for bacterial virulence. At 20 °C, E. coli K92 accumulates colanic acid (CA), which provides protection against stressful conditions outside of the mammalian host (Navasa et al. 2009 and 2014). The production of PSA in P. haemolytica A2 is strictly regulated by the growth temperature, and above 40 °C, no production is detected. The activity of NanA, NeuA, and NeuS increased rapidly when bacteria grown at 43 °C were transferred to 37 °C; the enzymes decreased dramatically when the cells grown at 37 °C were transferred to 43 °C (Barrallo et al. 1999). PSA is optimally accumulated when bacteria are grown at 37 °C, and the accumulation is negligible when the microorganisms grow below 20 °C or above 40 °C (Barrallo et al. 1999; Navasa et al. 2009, 2011, 2013, 2014; Ferrero and Aparicio 2010).
The effects of medium compositions on PSA production were investigated. When bacteria grow in liquid medium, the PSA generated is largely broth liberated during cellular growth. The amount of PSA produced strongly depends on the applied carbon and nitrogen sources for the bacteria growth (Ferrero and Aparicio 2010). The optimal carbon and nitrogen source for PSA production was investigated in a batch culture (Revilla-Nuin et al. 1998, 2002; Ferrero and Aparicio 2010; Rode et al. 2008; Ezquerro-Sáenz et al. 2006). Sorbitol appears to induce PSA production (Honda et al. 1997) and has a significant effect on bacterial growth and PSA formation (Liu et al. 2010; Wu et al. 2010). The substrate xylose allowed E. coli K1 to produce more PSA (Wu et al. 2010). Using different nitrogen sources may result in a significant variation in the PSA level. When organic nitrogen sources were used, PSA production was higher than when inorganic nitrogen sources were used. Casamino acids were found to be the most effective nitrogen source for PSA production, and a high ammonia concentration inhibited PSA production (Honda et al. 1997). The catabolism of specific carbon and nitrogen sources causes a synergistic effect that facilitates the synthesis of the precursors (pyruvate and ManNAc) involved in the PSA biosynthesis pathway (Rodríguez-Aparicio et al. 1988; Rode et al. 2008).
PSA production and cell growth were closely related. The PSA concentration increased with a higher biomass in most cases. During PSA production by E. coli, the fermentation medium pH has a significant effect on the biosynthesis of the PSA. Liu et al. (2010) developed a novel strategy by controlling pH with ammonia water feeding coupled with sorbitol supplementation, and the resulting PSA level increased to 5.5 g/L. Wu et al. (2010) also used an ammonia water feeding strategy to control the pH at 6.4 in the bioreactor, and PSA production reached as high as 5.2 g/L. Zheng et al. (2013) developed a novel two-stage pH control fermentation process for production of high molecular weight PSA. The pH value was initially set at 6.4 to encourage cell growth and PSA production, and then the pH was set at 7.4 to promote the formation of higher molecular weight PSA. Their explanation for the impact of pH on the molecular weight of PSA was that cell growth and the activity of key PSA biosynthesis enzymes were affected by pH, thereby affecting its production rate. However, mildly acidic conditions affect the stability of the PSA molecules. A high pKa acts as a proton donor for general acid catalysis intramolecular self-cleavage of the glycosidic bonds of the internal sialic acid units adjacent to the carboxyl group. Another possible explanation is that rapid cell growth at the optimal conditions (37 °C and pH 6.4) would accelerate PSA biosynthesis. Thus, the molecular weight of PSA would be maintained at a relatively high level due to the PSA production rate significantly outpacing the degradation rate (Manzi et al. 1994; Zheng et al. 2013).
Compared with batch cultivation, fed-batch cultivations under a constant glucose supply were more efficient in PSA production. Chen and his colleagues compared fed-batch cultivation at a constant specific growth rate of 0.25/h with fed-batch cultivation at a constant glucose concentration of 50 mg/L. They found that both fed-batch cultivations provided higher yields than that of the batch cultivation and found that acetate formation was prevented. Moreover, the PSA yield on glucose resulted in higher PSA productivity. PSA formation was highly associated to the specific growth rate of the cells. The growth rate (0.32/h) in the fed-batch cultivation at a constant glucose concentration of 50 mg/L was 82 % higher than that of the fed-batch cultivation at a constant specific growth rate of 0.25/h, demonstrating a positive correlation between the specific growth rate and product formation (Chen et al. 2011).
Metabolic engineering for enhanced production of polysialic acid
With the advent of synthetic biology and metabolic engineering, many engineering tools have been developed for heterologous production of valuable chemicals. These tools create new opportunities for the efficient accumulation of PSA by designing and optimizing of the metabolic pathway in E. coli. N-Acetylneuraminic acid (Neu5Ac), the most ubiquitous species among the sialic acids, is the precursor of PSA biosynthesis and is widely distributed in the PSA of bacteria and mammals. Metabolic engineering was applied for enhanced Neu5Ac production. For the biosynthesis of sialic acid, the Neu5Ac synthase (NeuB) (Samain 2008; Brody and Lundgren 2009; Ishikawa et al. 2010) or the Neu5Ac aldolase (NanA) (Tao et al. 2011; Kang et al. 2012; Lin et al. 2013) is often employed to catalyze the reaction from ManNAc to Neu5Ac in the engineered strains.
Brody and Lundgren (2009) overexpressed glucosamine synthase (GlmS), NeuB, and UDPGlcNAc 2-epimerase (NeuC) from N. meningitidis in E. coli, and 1.5 g/L of Neu5Ac was produced from glucose after 98 h under shake-flask conditions. Samain (2008) reported that 39 g/L of Neu5Ac was produced through high cell density fermentation with glycerol as carbon source. Ishikawa et al. constructed a recombinant E. coli N18-14 strain by overexpressing genes of GlcNAc 2-epimerase (slr1975) and neuB resulting in a yield of 53 g/L of Neu5Ac (2.41 g/L/h) after 22 h (Ishikawa et al. 2010).
Neu5Ac aldolase (NanA), which catalyzes Neu5Ac synthesis using ManNAc and pyruvate as substrates, is used in Neu5Ac production (Lee et al. 2007; Wang et al. 2009; Hu et al. 2010; Tao et al. 2011; Kang et al. 2012; Lin et al. 2013). Lee et al. developed a Neu5Ac production system by coupling two E. coli strains that expressed GlcNAc 2-epimerase(AGE) and NanA individually; when co-cultured, 122.3 g/L of Neu5Ac was obtained with highly concentrated cells and highly concentrated substrates (1.2 M of GlcNAc and 1.2 M of pyruvate). Tao et al. (2011) constructed E. coli strains overexpressing slr1975 and nanA for Neu5Ac production, and Neu5Ac accumulated to 59 g/L after 36 h (1.64 g/L/h). Lin et al. (2013) engineered E. coli by assembling a two-step heterologous pathway consisting of AGE and NanA, resulting in a yield of 74.2 g/L Neu5Ac and a productivity of 6.2 g/L/h.
The nan operon (Fig. 2), which encodes the proteins for sialic acid catabolism, is found in hundreds of bacterial species (Vimr et al. 2004; Almagro-Moreno and Boyd 2009). The products of sialic acid catabolism are GlcNAc and pyruvate, which are the primary metabolism molecules (Almagro-Moreno and Boyd 2009; Li and Chen 2012).The removal of the nanA and nanT genes abolishes sialic acid catabolism and increases Neu5Ac biosynthesis using the NeuB pathway (Brody and Lundgren 2009). Knockout of both the nanK and nanA genes improved the sialylation efficiency by preventing ManNAc and Neu5Ac from being diverted from the biosynthesis pathway (Fierfort and Samain 2008). Knockout of the nanTEK genes blocked Neu5Ac uptake and the competing pathway, which forced the reactions toward the synthetic direction as the final product was secreted outside of the cells and enhanced the Neu5Ac production by 3-fold (Lin et al. 2013). NanA is the rate-controlling enzyme in the biosynthesis of Neu5Ac through ManNAc and pyruvate. With the increased expression of NanA, a ninefold increase in Neu5Ac production was obtained (Lin et al. 2013). By blocking Neu5Ac uptake and degradation and abolishing the ManNAc catabolic pathway by removing nanT and nanK, respectively, the efficiency of the whole-cell biocatalyst for Neu5Ac production was improved (Brody and Lundgren 2009; Lin et al. 2013).
For PSA biosynthesis, NeuD, NeuA, and NeuS are key components of the biosynthetic pathway (Fig. 1) (Steenbergen et al. 2006; Song et al. 2011; Ferrero and Aparicio 2010). To investigate the effects of the key enzymes of the PSA synthetic pathway on PSA production, NeuD, NeuA, and NeuS were overexpressed separately or in combination (Chen et al. 2015). The strain overexpressing NeuD produced threefold more PSA than that of the wild-type strain, while the strains overexpressing NeuA or/and NeuS only slightly increased PSA production. The results showed that NeuD played an important role in the biosynthesis of PSA. The strain harboring pDB1S-DA, which co-expressed NeuD and NeuA, enhanced the PSA biosynthetic pathway and improved PSA production significantly. Neu5Ac is the precursor of PSA, and blocking the Neu5Ac catabolic pathway by deleting NanA resulted in enhanced production of PSA. By overexpressing NeuD and NeuA in the nanA-knockout strain, the production of PSA increased by 85 % compared to the original strain, and 16.15 g/L PSA was obtained (Chen et al. 2015).
Purification of polysialic acid in E. coli
Studies on the isolation of PSA from fermentation broth have been reported. Rode et al. (2008) developed a process for purification of PSA. The major PSA fraction could be successfully isolated from the concentrated supernatant by consecutive precipitation steps with acetone, cetavlon, and ethanol. Final polishing of the purified fraction was achieved using size exclusion chromatography on a Sephacryl S-300 column. The overall amount of the isolated product was greater than 20 % of the total PSA that was produced (Rode et al. 2008).
Bacterial PSA is negatively charged due to the high content of carboxyl groups, which could be completely neutralized by the typical positively charged cationic surfactants, such as cetyl pyridinium chloride (CPC). Liu et al. (2010) developed a purification method for PSA and involved isolation from the broth by ethanol precipitation, filtration with perlite as a filter aid, CPC precipitation, and lyophilization. The final PSA product had 98.1 ± 1.6 % purity at a 56.1 ± 1.7 % recovery rate.
Future perspectives
In recent years, PSA has attracted considerable interest due to its important biological functions and has been a valuable resource in both the medical and biotechnological fields. Many research studies focus on the link between quality and quantity of PSA and their therapeutic applications. A vaccine using bacterial PSA with the α 2,8-polysialic structure is weakly immunogenic because it is identical to the polysialic acid expressed in mammals. As a consequence, modified PSA has been used in vaccine development to protect individuals from invasive meningitis (Tan et al. 2010). PSA as an anti-adhesive biological molecule is dependent on chain length (Colley et al. 2014). Therefore, the use of more uniform chain length PSA has a tremendous potential to improve the production of these therapeutic reagents, and may enable potential PSA strategies for nervous system tissue and other tissue repair.
For biotechnological production, E. coli strains have been process engineered and metabolically engineered for the efficient production of PSA. Metabolic engineering strategies have been successfully applied for improving Neu5Ac and PSA production. The combination of metabolic engineering and process engineering strategies, including enhancing the precursor (Neu5Ac) supply, promoting capsule polysaccharide exportation, and optimizing the fermentation process, will lead to new approaches to further improve the PSA production. These strategies will make the bioprocess a promising cost-effective resource for PSA production with not only higher titers, yields, and productivity but also regulated PSA chain lengths.
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Acknowledgments
This work was supported by the Ministry of Science and Technology of China (grant 2013CB734003) and Key Research Program of the Chinese Academy of Sciences (grant no. KGZD-EW-606).
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The authors declare that they have no competing interests.
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Bai-Xue Lin and Yu Qiao contributed equally to the paper.
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Lin, BX., Qiao, Y., Shi, B. et al. Polysialic acid biosynthesis and production in Escherichia coli: current state and perspectives. Appl Microbiol Biotechnol 100, 1–8 (2016). https://doi.org/10.1007/s00253-015-7019-x
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DOI: https://doi.org/10.1007/s00253-015-7019-x