Phosphoserine aminotransferase (SerC) catalyzes the conversion of 3-phosphohydroxypyruvate to 3-phosphoserine using glutamate as an amino donor, a key step in the serine synthesis pathway . In D. nodosus, the serC gene (UniProt ID: A5EV80) encodes this enzyme and is part of the organism’s metabolic machinery .
The serC gene is conserved across D. nodosus strains, with 98.63% sequence homology observed between the JKS-07B isolate and reference genome VCS1703A .
Recombinant SerC is produced via heterologous expression systems, enabling large-scale study and application.
SerC is integral to central metabolic pathways, linking glycolysis, serine synthesis, and one-carbon metabolism . Key findings include:
Metabolic Integration: SerC supports bacterial proliferation and survival by balancing serine pools, essential for protein synthesis and epigenetic regulation .
Virulence Association: While not directly a virulence factor, serC is co-regulated with genes involved in protease secretion and biofilm formation, critical for D. nodosus pathogenicity .
Stress Adaptation: In mycobacteria, homologs of SerC are regulated by transcriptional factors like NapR under serine stress, suggesting analogous mechanisms in D. nodosus .
SerC employs a conserved Rossmann-fold structure for cofactor (pyridoxal phosphate) binding .
Substrate specificity is modulated by residues in the binding pocket, as inferred from homologous systems .
| Strain | Genome Size (Mb) | GC Content | SerC Homology (%) | Unique Genes Near serC |
|---|---|---|---|---|
| VCS1703A | 1.4 | 44.38 | 100 | 0 |
| JKS-07B | 1.31 | 44.38 | 98.63 | 21 (e.g., OppB, PilO) |
Vaccine Development:
Antimicrobial Targeting:
Biotechnological Tool:
KEGG: dno:DNO_0670
STRING: 246195.DNO_0670
Phosphoserine aminotransferase (serC) in Dichelobacter nodosus is an enzyme (EC 2.6.1.52) involved in serine biosynthesis. This enzyme catalyzes the conversion of 3-phosphohydroxypyruvate to L-phosphoserine, an essential step in the serine biosynthetic pathway. The full-length protein consists of 358 amino acids with a well-conserved sequence across bacterial species . Functionally, serC plays a crucial role in amino acid metabolism, particularly in organisms like D. nodosus, where metabolic adaptations are critical for survival in host environments. The enzyme requires pyridoxal-5'-phosphate (PLP) as a cofactor to facilitate the transamination reaction. SerC's activity is particularly important in bacterial survival under stress conditions, as evidenced by homologous proteins in mycobacteria that respond to serine stress .
Verification of identity and purity requires multiple complementary techniques:
SDS-PAGE analysis: The recombinant serC protein should appear as a single band at approximately 39 kDa (full-length protein). Purity levels above 85% are typically considered acceptable for research applications .
Western blotting: For tagged versions (e.g., His-tagged), use tag-specific antibodies such as Ni-NTA HRP conjugate. This approach successfully identified a Trx-6xHis-tagged recombinant protein from D. nodosus in previous studies .
Mass spectrometry:
Peptide mass fingerprinting following tryptic digestion
LC-MS/MS for sequence verification against the expected amino acid sequence
Enzymatic activity assay: Measure the conversion of 3-phosphohydroxypyruvate to L-phosphoserine using coupled enzyme assays or direct product detection.
Circular dichroism: Verify proper folding by analyzing secondary structure content.
| Verification Method | Purpose | Expected Result |
|---|---|---|
| SDS-PAGE | Purity assessment | >85% purity, single band at ~39 kDa |
| Western Blot | Identity confirmation | Positive signal with tag-specific antibody |
| MALDI-TOF MS | Accurate mass determination | Mass matching theoretical value |
| Activity Assay | Functional verification | Detectable conversion of substrate to product |
Based on available data and general recombinant protein methodology, several expression systems can be considered:
The selection of expression vector should include appropriate tags for purification (e.g., His-tag) and fusion partners that enhance solubility (e.g., Thioredoxin, SUMO, or MBP).
Several challenges may arise when expressing D. nodosus proteins, based on research with other proteins from this organism:
Host toxicity: Similar to observations with D. nodosus fimbrial proteins , serC might exhibit toxicity to host cells.
Solution: Use tightly regulated expression systems, reduce temperature, add glucose to suppress basal expression, and employ expression hosts designed for toxic proteins (e.g., C41/C43 E. coli strains).
Protein solubility: Aminotransferases can form inclusion bodies.
Solution: Express as fusion proteins with solubility enhancers (Thioredoxin, SUMO, MBP), optimize buffer conditions, or develop refolding protocols.
Protein stability: SerC may exhibit limited stability.
Limited activity: Recombinant enzymes may show suboptimal activity.
Solution: Ensure presence of PLP cofactor, optimize buffer composition, and verify proper oligomeric state.
Purification challenges: Multiple steps may be needed for high purity.
Solution: Implement multi-step purification strategies combining affinity chromatography with size-exclusion and/or ion-exchange methods.
Based on established methods for similar proteins:
Resuspend cells in lysis buffer (50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10 mM imidazole, 1 mM PMSF, 5 mM β-mercaptoethanol)
Lyse cells via sonication or pressure homogenization
Centrifuge at 15,000×g for 30 minutes at 4°C to remove debris
Apply clarified lysate to Ni-NTA column pre-equilibrated with binding buffer
Wash with 20-30 column volumes of wash buffer (lysis buffer with 20-30 mM imidazole)
Elute protein with elution buffer (lysis buffer with 250-300 mM imidazole)
Perform size-exclusion chromatography using Superdex 200 column in buffer containing 20 mM Tris-HCl pH 8.0, 150 mM NaCl, 1 mM DTT, and 10% glycerol
Pool fractions containing pure protein
Add glycerol to a final concentration of 20-50%
Aliquot and store at -20°C or -80°C to avoid repeated freeze-thaw cycles
Enzymatic activity of serC can be measured using several complementary approaches:
Coupled enzyme assay:
The phosphoserine produced by serC is converted to serine by phosphoserine phosphatase
Serine is then quantified via reaction with periodate and measurement of formaldehyde production
Alternatively, use NAD(P)H-dependent coupled assays and monitor absorbance at 340 nm
Direct product detection:
HPLC separation of substrate and product
LC-MS/MS for sensitive detection and quantification
Colorimetric assays for phosphate release
Standard reaction conditions:
Buffer: 50 mM HEPES pH 7.5, 5 mM MgCl₂, 1 mM DTT
Substrates: 3-phosphohydroxypyruvate (0.1-1 mM), glutamate (1-10 mM)
Cofactor: PLP (0.1 mM)
Temperature: 37°C
Time: 10-30 minutes
Kinetic parameters determination:
Vary substrate concentration to determine K<sub>m</sub>, V<sub>max</sub>, and k<sub>cat</sub>
Analyze data using Michaelis-Menten or Lineweaver-Burk plots
While direct evidence for serC's role in D. nodosus virulence is limited in the provided search results, insights can be drawn from related research:
Metabolic adaptation: SerC's role in serine biosynthesis likely contributes to bacterial survival in nutrient-limited environments. Studies in mycobacteria have demonstrated that serC responds to environmental stress and influences biofilm formation .
Stress response: In mycobacteria, NapR regulates serC expression in response to serine stress . Similar regulatory mechanisms may exist in D. nodosus, allowing adaptation to host environments.
Biofilm formation: SerC has been implicated in biofilm formation in mycobacteria . If similar functions exist in D. nodosus, this could contribute to virulence, as biofilms enhance resistance to antimicrobials and host defense mechanisms.
Potential vaccine target: The conservation of serC across bacterial species and its essential metabolic function make it a potential target for vaccine development, similar to approaches using other D. nodosus proteins .
Further research is needed to directly establish serC's role in D. nodosus virulence, potentially through knockout studies or expression analysis during infection.
SerC functions within an interconnected metabolic network:
Serine biosynthesis pathway interactions:
SerC receives its substrate from SerA (phosphoglycerate dehydrogenase)
SerC product is utilized by SerB (phosphoserine phosphatase)
This three-enzyme pathway represents a critical link between glycolysis and amino acid metabolism
Regulatory interactions:
Metabolic network integration:
Links to folate metabolism (serine is required for single-carbon transfer reactions)
Connections to cysteine biosynthesis (serine serves as precursor)
Integration with central carbon metabolism through 3-phosphoglycerate
A predictive model of serC interactions can be constructed based on known bacterial metabolic networks, though experimental verification through techniques like pull-down assays, bacterial two-hybrid systems, or co-immunoprecipitation would be necessary for D. nodosus-specific interactions.
Mutation analysis of serC can provide insights into structure-function relationships and bacterial fitness:
Catalytic site mutations:
Mutations in PLP-binding residues typically abolish activity
Substrate binding site mutations may alter enzyme kinetics (K<sub>m</sub>, k<sub>cat</sub>)
Stability-enhancing mutations might increase enzyme longevity
Fitness impact:
Complete loss of serC function would likely result in serine auxotrophy
Reduced activity might compromise growth in serine-limited environments
Hyperactive mutations could potentially disrupt amino acid homeostasis
Experimental approaches:
Site-directed mutagenesis of conserved residues
Random mutagenesis coupled with selection/screening
Expression of mutant variants in serC-deficient strains to assess complementation
Structural implications:
Mutations affecting dimerization interfaces may alter quaternary structure
Surface mutations might impact protein-protein interactions
Changes in flexible loops could alter substrate access or product release
Understanding these relationships requires integrated approaches combining biochemical characterization with in vivo fitness studies.
Several sophisticated techniques can provide deeper insights into serC structure and function:
X-ray crystallography and cryo-EM:
Determination of three-dimensional structure at atomic resolution
Co-crystallization with substrates, products, or inhibitors to visualize binding modes
Structural comparison with homologous enzymes
Hydrogen-deuterium exchange mass spectrometry (HDX-MS):
Probes protein dynamics and conformational changes
Identifies regions with differential solvent accessibility upon ligand binding
Maps protein-protein interaction interfaces
Nuclear Magnetic Resonance (NMR) spectroscopy:
Studies protein dynamics in solution
Maps chemical shift perturbations upon ligand binding
Determines binding constants and exchange rates
Single-molecule techniques:
Fluorescence resonance energy transfer (FRET) to monitor conformational changes
Optical tweezers to study enzyme mechanics
Single-molecule enzymology to detect reaction intermediates
Computational approaches:
Molecular dynamics simulations to study protein flexibility
Quantum mechanics/molecular mechanics (QM/MM) to model the catalytic mechanism
In silico docking and virtual screening for inhibitor discovery
These techniques, combined with biochemical and genetic approaches, provide a comprehensive understanding of serC function.
Recombinant D. nodosus serC presents several opportunities for vaccine development:
Subunit vaccine approaches:
Epitope identification strategies:
Computational prediction of B-cell and T-cell epitopes within serC sequence
Experimental validation through epitope mapping techniques
Development of epitope-based synthetic peptide vaccines
Vector-based delivery systems:
Expression of serC in attenuated bacterial or viral vectors
DNA vaccines encoding serC
mRNA vaccine approaches
Potential advantages of serC as a vaccine target:
Evaluation protocol:
In vitro neutralization assays
Animal immunization studies with challenge
Analysis of humoral and cell-mediated immune responses
Similar approaches have been considered for other D. nodosus proteins, such as fimbrial subunits, which have been expressed as recombinant proteins for potential vaccine development .
Several significant knowledge gaps remain regarding D. nodosus serC:
Regulatory mechanisms:
Host-pathogen interactions:
Unknown whether serC is expressed during infection or contributes to virulence
Research strategy: In vivo expression analysis during infection, serC knockout studies
Structural information:
No crystal structure available for D. nodosus serC
Approach: Protein crystallization trials, structural determination by X-ray crystallography or cryo-EM
Species-specific properties:
Limited characterization of biochemical properties specific to D. nodosus serC
Strategy: Comparative enzymology with homologs from other species, substrate specificity profiling
Inhibitor development:
No specific inhibitors reported for D. nodosus serC
Approach: High-throughput screening, structure-based design, fragment-based drug discovery
These gaps present opportunities for researchers to make significant contributions to the field, potentially leading to novel therapeutic or preventive strategies against D. nodosus infections.
Optimal storage and handling procedures for maintaining serC stability and activity:
Short-term storage (up to 1 week):
Store at 4°C in buffer containing 20 mM Tris-HCl pH 7.5, 150 mM NaCl, 1 mM DTT
Avoid repeated freeze-thaw cycles
Long-term storage:
Reconstitution of lyophilized protein:
Handling precautions:
Briefly centrifuge vials before opening to bring contents to the bottom
Maintain enzyme in reducing conditions (1-5 mM DTT or β-mercaptoethanol)
Consider adding PLP (0.1 mM) to stabilize the enzyme
Quality control:
Periodically verify activity using standardized assays
Check protein integrity by SDS-PAGE after extended storage
Following these guidelines maximizes protein stability and functional integrity for research applications.
For enzyme activity issues, a systematic analysis of reaction conditions (pH, temperature, cofactors, substrates) can help identify optimal parameters for D. nodosus serC function.