Recombinant SerC is typically produced in E. coli expression systems (e.g., BL21 strains) using plasmids like pET15b, which enable N-terminal His-tag fusion for affinity purification .
Cloning: The serC gene is amplified from E. coli O127:H6 E2348/69 (GenBank: FM180568) and inserted into an expression vector .
Expression: Induced with IPTG, yielding soluble enzyme in high amounts .
Purification: Metal-affinity chromatography achieves >85% purity, confirmed via SDS-PAGE .
| Parameter | Value |
|---|---|
| (Phosphoserine) | 5 μM |
| 1.35 μmol/min/mg | |
| pH Optimum | 7.5–8.0 |
Asp100Ala Mutation: Reduces solubility by ~10-fold and lowers to 15% of wild-type activity, underscoring Asp100’s role in structural stability .
Metabolic Role: SerC links serine biosynthesis to pyridoxine production, as serC mutants require serine and pyridoxine supplementation .
Genetic Code Expansion:
Enzyme Engineering:
The serC gene in E. coli O127:H6 E2348/69 is located on its 4.97 Mb chromosome (Gene ID: B7UP81) . Comparative genomics reveals conserved operon structures across pathogenic E. coli strains, though virulence factors (e.g., T3SS) are absent in SerC’s genomic region .
KEGG: ecg:E2348C_0900
Phosphoserine aminotransferase (SerC) is a critical enzyme in the serine biosynthetic pathway of E. coli. It catalyzes the second step in the three-step phosphorylated pathway, specifically the conversion of 3-phosphohydroxypyruvate to 3-phosphoserine using glutamate as an amino donor. This reaction is essential for de novo serine biosynthesis in bacteria. SerC requires pyridoxal 5'-phosphate (PLP) as a cofactor for its aminotransferase activity .
The serC gene is part of the serC-aroA operon in E. coli, which notably contains genes involved in two distinct amino acid biosynthetic pathways - serine and aromatic amino acids. This unusual organization suggests complex metabolic integration between these pathways in E. coli .
The serC gene in E. coli exists as part of the serC-aroA operon, which contains genes encoding enzymes for both serine and aromatic amino acid biosynthesis. This represents an unusual organization where genes from unrelated biosynthetic pathways are co-regulated .
Research utilizing a serC-aroA-lac translational fusion constructed in vector pMC1403 has demonstrated that the expression of this operon is positively controlled by cyclic AMP (cAMP). Experimental evidence shows enhanced synthesis of β-galactosidase from this fusion when lactose is the sole carbon source. This enhancement disappears in strains with cya (adenylate cyclase) or crp (cAMP receptor protein) mutations, confirming cAMP-dependent regulation .
Furthermore, the exogenous addition of cAMP significantly increases β-galactosidase synthesis in cya mutant strains, and dot blot assays show increased serC-aroA mRNA content in serC+ aroA+ cells after cAMP addition .
The SerC protein belongs to the aminotransferase class V family and adopts a fold typical of PLP-dependent enzymes. The active site contains a conserved lysine residue that forms a Schiff base with the PLP cofactor during catalysis. The enzyme functions as a homodimer in solution, with each monomer containing one active site.
The catalytic mechanism involves:
Binding of the PLP cofactor to the enzyme
Formation of a Schiff base between PLP and a conserved lysine residue
Transimination with the amino donor (glutamate)
Transfer of the amino group to 3-phosphohydroxypyruvate
Release of 3-phosphoserine and regeneration of the enzyme-PLP complex
Optimal enzymatic activity occurs at pH 7.5-8.0 and temperatures around 37°C, typical for E. coli cytoplasmic enzymes.
For standard recombinant SerC production, E. coli BL21(DE3) or similar expression strains are commonly employed with vectors containing T7 or tac promoters. These systems typically yield 10-20 mg of purified SerC per liter of culture under optimized conditions.
For specialized applications involving phosphoserine incorporation into recombinant proteins, engineered strains with genomic modifications have been developed. The most effective systems include:
B95(DE3) ΔA ΔfabR ΔserB - This RF1-deficient strain with a serB knockout produces phosphoserine internally at high levels and is preferred for "truncation-free" expression with higher yields .
BL21(DE3) ΔserB - A standard strain with serB knockout that requires serine supplementation but still produces phosphoserine internally .
These specialized strains can yield approximately 100-200 mg of phosphoserine-containing proteins per liter of culture when using rich auto-induction media, without requiring exogenous phosphoserine supplementation .
To optimize recombinant SerC expression, consider the following methodological approaches:
Media selection:
Rich auto-induction media significantly improves yields compared to standard IPTG induction in LB media .
For serB knockout strains (serine auxotrophs), media must be supplemented with serine (typically 0.5-1 mM) .
Temperature modulation:
Initial growth at 37°C to OD600 of 0.6-0.8, followed by induction
Post-induction expression at lower temperatures (16-25°C) for 16-24 hours improves protein solubility
Cofactor addition:
Supplementing media with pyridoxal 5'-phosphate (50-100 μM) can enhance the proportion of active enzyme
Induction parameters:
For IPTG-inducible systems, concentrations of 0.1-0.5 mM IPTG are typically optimal
For auto-induction, careful formulation of carbon sources is critical for timed expression
Codon optimization:
Synthetic genes with codons optimized for E. coli expression can increase yields by 2-3 fold
A multi-step purification strategy is recommended for obtaining high-purity, active SerC:
His-tagged SerC can be purified using Ni-NTA or TALON resin
Wash with 10-20 mM imidazole to remove weakly bound proteins
Elute with 250-300 mM imidazole gradient
All buffers should contain 0.1-0.2 mM PLP to maintain cofactor association
DEAE or Q-Sepharose columns at pH 7.5-8.0
Linear NaCl gradient (0-500 mM) for elution
SerC typically elutes at 200-250 mM NaCl
Superdex 200 or similar resins separate dimeric SerC from aggregates and contaminants
Running buffer: 50 mM Tris-HCl pH 7.5, 150 mM NaCl, 1 mM DTT, 0.1 mM PLP
This protocol typically yields >95% pure SerC with specific activity of 5-10 μmol/min/mg protein in standard assay conditions.
The deletion of serB gene, which encodes phosphoserine phosphatase, creates a metabolic block that prevents the conversion of 3-phosphoserine to serine. This genetic modification has several significant consequences:
Accumulation of phosphoserine: Internal phosphoserine levels increase substantially, enabling its incorporation into recombinant proteins .
Serine auxotrophy: ΔserB strains cannot synthesize serine and require exogenous supplementation for growth. This auxotrophy must be addressed in culture media formulations .
Enhanced phosphoprotein production: When combined with genetic code expansion systems (using orthogonal aminoacyl-tRNA synthetase/tRNA pairs), these strains enable site-specific incorporation of phosphoserine into recombinant proteins at yields of 100-200 mg per liter of culture .
Metabolic rebalancing: The cell metabolism adapts to the block in the serine pathway, potentially affecting other interconnected metabolic networks, including amino acid and central carbon metabolism.
This genetic modification serves as the foundation for the production of recombinant phosphoproteins without requiring kinases, allowing researchers to produce milligram quantities of homogeneously modified proteins for downstream studies .
Several complementary methods can be employed to assess SerC expression and activity:
Spectrophotometric enzyme assay:
Follow the conversion of 3-phosphohydroxypyruvate to 3-phosphoserine by coupling to NADH oxidation
Typically conducted at 340 nm, pH 7.5, 37°C
Activity calculated using ε340 of 6,220 M^-1 cm^-1 for NADH
SDS-PAGE and western blot analysis:
Protein expression verification using anti-SerC antibodies or tag-specific antibodies
Densitometric analysis for quantification
Mass spectrometry:
LC-MS/MS for protein identification and confirmation of post-translational modifications
Intact mass analysis to verify full-length protein production
Growth complementation assay:
Functional verification by complementation of serC-deficient E. coli strains
Comparison of growth rates in minimal media with and without serine supplementation
Activity quantification table:
| Test condition | Expected activity (μmol/min/mg) | Detection method |
|---|---|---|
| Purified SerC | 5-10 | NADH-coupled assay |
| Crude extract | 0.5-2 | NADH-coupled assay |
| Cell lysate | 0.05-0.2 | LC-MS substrate conversion |
Site-directed mutagenesis of serC provides valuable insights into enzyme mechanism and pathway regulation:
Catalytic residue mutations:
K197A: Eliminates Schiff base formation with PLP, abolishing activity
R82A: Disrupts substrate binding, reducing catalytic efficiency
D168A: Affects proton transfer, altering reaction kinetics
Regulatory domain mutations:
Mutations in potential allosteric sites can reveal pathway feedback mechanisms
C-terminal modifications may affect protein-protein interactions
Experimental approaches:
Create a library of serC point mutants using site-directed mutagenesis
Express and purify mutant proteins
Characterize kinetic parameters (kcat, Km) for each mutant
Perform complementation assays in serC-deficient strains
Analyze growth phenotypes under different nutritional conditions
Conduct metabolomic analysis to identify pathway intermediates
These studies help elucidate the structure-function relationships in SerC and its role in the broader metabolic network.
Recombinant SerC serves as an excellent model system for investigating fundamental aspects of enzyme catalysis and regulation:
Steady-state kinetic analysis:
Determine Km, kcat, and kcat/Km for both 3-phosphohydroxypyruvate and glutamate
Assess substrate cooperativity through Hill coefficient determination
Investigate potential inhibitors and activators
Transient-state kinetics:
Use stopped-flow spectroscopy to identify reaction intermediates
Determine rate constants for individual steps in the catalytic cycle
Characterize the formation and breakdown of the Schiff base intermediates
Ligand binding studies:
Isothermal titration calorimetry (ITC) to measure binding thermodynamics
Fluorescence spectroscopy to monitor conformational changes upon substrate binding
Surface plasmon resonance (SPR) for real-time binding analysis
Regulation mechanisms:
Investigate potential post-translational modifications that affect activity
Examine protein-protein interactions with other metabolic enzymes
Study the impact of cellular metabolites on enzyme activity
These approaches provide comprehensive insights into SerC's catalytic mechanism and its integration within bacterial metabolism.
While SerC itself catalyzes the formation of phosphoserine in the serine biosynthetic pathway, the phosphoserine incorporation system for recombinant proteins operates through a distinct mechanism involving genetic code expansion:
The ΔserB strain accumulates phosphoserine due to blocked conversion to serine .
An orthogonal translation system is introduced, consisting of:
During translation, the orthogonal system incorporates phosphoserine at TAG codons, while the endogenous SerC continues to function in its native biosynthetic role .
This genetic code expansion approach enables the production of homogeneously phosphorylated proteins at yields of 100-200 mg per liter of culture, which can be purified for downstream applications in studying phosphorylation-dependent signaling systems and protein-protein interactions .
SerC manipulation offers several strategies for metabolic engineering applications:
Serine overproduction:
Overexpression of serC alongside other serine pathway enzymes can enhance serine production
Co-expression with feedback-resistant 3-phosphoglycerate dehydrogenase (serA) increases pathway flux
Deletion of competing pathways can redirect carbon flux toward serine production
Metabolic pathway balancing:
Fine-tuning serC expression levels can modulate the balance between serine and aromatic amino acid biosynthesis
Adjusting the serC:aroA ratio can optimize metabolic flux distribution
Synthetic biology applications:
Integration of serC into synthetic operons for novel metabolic pathways
Engineering SerC variants with altered substrate specificity for non-natural amino acid production
Creation of biosensors based on serC promoter activity for monitoring cellular metabolic state
Strain optimization strategy table:
| Engineering goal | Genetic modifications | Expected outcome |
|---|---|---|
| Serine overproduction | serC and serA overexpression, competing pathway deletion | 5-10 fold increase in serine |
| Phosphoserine accumulation | serB deletion, serC overexpression | High intracellular phosphoserine |
| Aromatic amino acid production | Balanced serC-aroA expression | Enhanced aromatic amino acid synthesis |
When facing conflicting data regarding SerC structure or function, several advanced techniques can help resolve discrepancies:
Integrative structural biology approaches:
Combine X-ray crystallography, cryo-EM, and NMR to obtain a comprehensive structural model
Use hydrogen-deuterium exchange mass spectrometry (HDX-MS) to map protein dynamics and conformational changes
Employ small-angle X-ray scattering (SAXS) to characterize solution structure
Functional validation through complementary methods:
Develop multiple independent activity assays that measure different aspects of the reaction
Use isotope labeling to track atom transfer during catalysis
Apply single-molecule techniques to study enzyme behavior at the individual molecule level
Computational validation:
Perform molecular dynamics simulations to assess structural stability and conformational states
Use quantum mechanics/molecular mechanics (QM/MM) calculations to model reaction mechanisms
Develop machine learning models to predict effects of mutations on enzyme function
Systematic assessment of experimental conditions:
Test activity across a wide range of pH, temperature, and ionic strength conditions
Examine the effects of different buffer components on enzyme behavior
Investigate time-dependent changes in enzyme activity and stability
These multidisciplinary approaches can help reconcile conflicting observations and establish a consensus model of SerC structure and function.
Comparative analysis of SerC between pathogenic E. coli O127:H6 and non-pathogenic laboratory strains reveals potential adaptations relevant to virulence:
Genetic analysis:
Sequence comparison shows subtle amino acid variations that may affect enzyme efficiency
Promoter region differences suggest altered regulation in response to host environments
Potential horizontal gene transfer events may have influenced serC evolution in pathogenic strains
Expression patterns:
Transcriptomic data indicates differential expression of serC under host-mimicking conditions
Response to stress conditions may vary between pathogenic and non-pathogenic strains
Integration with virulence gene expression networks may occur in pathogenic strains
Metabolic adaptations:
Pathogenic strains may utilize SerC to optimize amino acid metabolism during infection
Connection between serine metabolism and virulence factor production
Potential role in adapting to nutritional limitations within host environments
Experimental approaches for comparison:
Compare serC sequence, structure, and kinetic parameters between strains
Analyze expression patterns under infection-relevant conditions
Perform metabolomic profiling to identify strain-specific metabolic signatures
Test cross-complementation between pathogenic and non-pathogenic serC variants
Investigate protein-protein interaction networks in different strain backgrounds
These studies may reveal how SerC has evolved to support pathogen-specific metabolic requirements.
Several technical challenges complicate the comprehensive study of SerC and phosphoserine metabolism:
Analytical limitations:
Difficulty in precise quantification of phosphoserine due to its chemical instability
Challenges in distinguishing between protein-incorporated and free phosphoserine
Need for specialized mass spectrometry methods for accurate phosphometabolite analysis
Genetic system constraints:
Lethality of certain serC modifications requires careful conditional expression systems
Potential polar effects on aroA expression when manipulating serC
Metabolic burden of overexpression systems affecting physiological relevance
Methodological barriers:
Limited availability of phosphoserine standards for analytical method development
Challenges in maintaining enzyme activity during purification due to cofactor loss
Difficulty in tracking intracellular phosphoserine fluxes in real-time
Research direction opportunities:
Development of genetically encoded biosensors for intracellular phosphoserine monitoring
Application of metabolic flux analysis with isotope labeling to map phosphoserine pathways
Creation of conditional expression systems for studying essential serC functions
Engineering of more stable SerC variants for structural and functional studies
Integration of multi-omics approaches to understand system-level effects of serC manipulation
Addressing these challenges will enable more comprehensive understanding of SerC's role in bacterial metabolism and its potential applications in biotechnology and medicine.