KEGG: stm:STM0429
STRING: 99287.STM0429
Phosphonate-binding periplasmic proteins like phnS are components of ABC transport systems that facilitate the uptake of phosphonates, which are organophosphorus compounds containing direct carbon-phosphorus bonds. These proteins function as substrate-binding components that capture phosphonate molecules from the external environment and deliver them to membrane-associated permease components like phnU. The periplasmic location allows these proteins to serve as the first point of contact between the bacterial cell and environmental phosphonate compounds.
In Salmonella typhimurium, the phosphonate transport system is particularly important for survival in phosphate-limited environments, where bacteria must utilize alternative phosphorus sources . The system typically consists of a periplasmic binding protein (phnS), membrane-spanning permease proteins (like phnU), and an ATP-binding protein that provides energy for substrate translocation.
Expression and purification of recombinant phnS can be achieved using similar protocols established for other periplasmic proteins in Salmonella. Based on successful expression systems for related proteins, the following methodological approach is recommended:
Expression System Selection:
E. coli is the preferred heterologous host for expression of Salmonella periplasmic proteins due to its high transformation efficiency and rapid growth .
Vector selection should include a strong promoter (T7 or tac) and an N-terminal His-tag for purification.
Inclusion of the native signal sequence or fusion with β-lactamase signal sequence facilitates periplasmic targeting .
Expression Protocol:
Transform expression vector into E. coli BL21(DE3) or similar strain
Culture in LB medium at 37°C until OD600 reaches 0.6-0.8
Induce with IPTG (0.1-1.0 mM) and continue growth at 30°C for 4-6 hours
Harvest cells by centrifugation at 5,000 × g for 10 minutes
Purification Strategy:
Extract periplasmic proteins using osmotic shock method
Purify using Ni-NTA affinity chromatography
Further purify using gel filtration if higher purity is required
For optimal long-term storage of purified recombinant phnS:
Maintain protein in Tris/PBS-based buffer with 6% trehalose at pH 8.0
Add glycerol to a final concentration of 50% for freezer storage
Aliquot in small volumes to avoid repeated freeze-thaw cycles
Store at -80°C for long-term stability
Repeated freeze-thaw cycles significantly reduce protein activity, so it's critical to prepare single-use aliquots. For reconstitution of lyophilized protein, use deionized sterile water to a concentration of 0.1-1.0 mg/mL and add glycerol for long-term storage .
Designing experiments to analyze immune responses to recombinant Salmonella expressing phnS requires careful consideration of vector construction, immunization protocols, and immune response evaluation methods.
Vector Construction Considerations:
Use a balanced-lethal host-vector system based on aspartate β-semialdehyde dehydrogenase (asd) gene to ensure plasmid stability without antibiotic selection .
Consider fusing phnS to a β-lactamase signal sequence to facilitate secretion and enhance immune responses .
Implement an Asd+ vector with reduced expression of Asd to minimize selective disadvantage and enhance immunization of expressed recombinant antigens .
Immunization Protocol:
Administer 10^9 CFU of recombinant Salmonella orally to BALB/c mice
Collect serum samples at regular intervals (weeks 2, 4, 6, and 8 post-immunization)
Perform a booster immunization at week 4 if necessary
Challenge with wild-type Salmonella to assess protection
Immune Response Analysis:
Measure antibody responses by ELISA, differentiating between IgG subclasses (IgG1, IgG2a) to determine Th1/Th2 bias
Analyze T-cell responses through lymphocyte proliferation assays and cytokine profiling (IFN-γ, IL-4, IL-2)
Evaluate protection through challenge studies and survival rate monitoring
Based on studies with other recombinant Salmonella vaccines, expect to see a mixed immune response with approximately 50% IgG1 (Th2-type) and 50% IgG2a (Th1-type) antibodies to the recombinant protein, contrasting with predominantly IgG2a responses to Salmonella antigens such as LPS and OMPs .
Epitope mapping of periplasmic proteins like phnS expressed in recombinant Salmonella presents several methodological challenges:
Technical Challenges:
Periplasmic localization may affect protein processing and presentation
Conformational epitopes may be altered during purification
Distinguishing immune responses to the recombinant protein versus Salmonella antigens
Limited cross-reactivity of antibodies raised against recombinant protein with native protein
Methodological Approaches:
For comprehensive epitope mapping, combining in silico prediction with experimental validation is most effective. Recent studies comparing these approaches for Salmonella FlgK protein identified three common shared consensus peptide epitope sequences .
| Approach | Advantages | Disadvantages | Required Resources |
|---|---|---|---|
| In silico prediction | Rapid, cost-effective, can predict both B and T cell epitopes | May miss conformational epitopes, requires validation | Bioinformatics tools, protein sequence data |
| Overlapping peptide arrays | High resolution mapping of linear epitopes | Labor-intensive, expensive, misses conformational epitopes | Synthetic peptide library, screening facility |
| Mass spectrometry with immunoprecipitation | Can identify both linear and conformational epitopes directly from immune complexes | Technically challenging, requires specialized equipment | Mass spectrometer, antibodies, protein purification setup |
| Mutational analysis | Can validate functional significance of epitopes | Time-consuming, may affect protein folding | Molecular biology tools, expression systems, functional assays |
The integration of both computational prediction and experimental validation, as demonstrated in the study of Salmonella serotype Heidelberg FlgK protein, offers the most reliable approach for comprehensive epitope mapping .
The periplasmic localization of phnS has significant implications for antigen processing, presentation, and subsequent immune responses when expressed in recombinant Salmonella vaccines:
Impact on Antigen Processing:
Periplasmic proteins in Salmonella are more accessible to host antigen-presenting cells than cytoplasmic proteins
Approximately 50% of periplasmic proteins can be detected in combined supernatant and periplasmic fractions, facilitating exposure to the immune system
Secreted/periplasmic location enhances processing by antigen-presenting cells compared to cytoplasmic localization
Effect on Immune Response Type:
Studies with recombinant PspA (another protein) in Salmonella showed that periplasmic/secreted antigens typically elicit a mixed Th1/Th2 response, with approximately 50% of antibodies being IgG1 (Th2) and the remainder IgG2a (Th1) . This suggests that periplasmic proteins like phnS would likely generate a similar mixed response pattern.
Cellular Recognition Considerations:
Recombinant Salmonella that invade non-phagocytic cells may be resistant to recognition by antigen-specific cytotoxic T lymphocytes (CTL), as demonstrated with influenza nucleoprotein-expressing strains . This has important implications for vaccine design, as it suggests that while CTL responses can be generated against Salmonella antigens, the bacteria may evade CTL attack once they enter non-phagocytic cells .
Understanding the structure-function relationship of phnS requires a multi-faceted experimental approach:
Structural Analysis Methods:
X-ray crystallography to determine high-resolution 3D structure
Circular dichroism spectroscopy to evaluate secondary structure elements
Nuclear magnetic resonance (NMR) for solution structure and dynamics
Cryo-electron microscopy for visualization of protein complexes
Functional Analysis Methods:
Substrate binding assays using isothermal titration calorimetry
Site-directed mutagenesis to identify critical residues
Fluorescence-based binding assays to measure affinity for phosphonate compounds
Transport assays in reconstituted liposomes or whole cells
Integrated Structure-Function Studies:
For comprehensive analysis, combine structural information with functional data through the following experimental workflow:
| Phase | Experimental Approach | Expected Outcome | Time Frame |
|---|---|---|---|
| 1 | Express and purify recombinant phnS with His-tag | Pure protein for structural/functional studies | 1-2 weeks |
| 2 | Determine binding affinity for various phosphonate compounds | Substrate specificity profile | 2-3 weeks |
| 3 | Perform crystallization trials and structure determination | 3D structural model | 2-3 months |
| 4 | Identify putative binding sites and generate mutants | Structure-based functional hypotheses | 3-4 weeks |
| 5 | Test mutants for altered binding/transport | Validation of structure-function relationships | 1-2 months |
| 6 | Complex phnS with transport system components | Insight into system integration | 2-3 months |
The initial characterization should focus on protein solubility, stability, and basic binding properties before proceeding to more complex structural and functional analyses.
Recombinant Salmonella expressing phnS can be leveraged for various vaccine development strategies based on established approaches with other recombinant proteins:
Attenuated Vaccine Vector Design:
Introduce mutations in genes required for virulence, such as the cyclic AMP receptor protein gene (crp), to create attenuated Salmonella strains .
Utilize balanced-lethal host-vector systems based on aspartate β-semialdehyde dehydrogenase (asd) gene to ensure plasmid stability without antibiotic selection .
Optimize subcellular location of phnS for maximal immunogenicity by including appropriate signal sequences .
Protection Assessment Strategy:
Studies with recombinant Salmonella expressing PspA demonstrated that oral immunization protected 60% of immunized mice from lethal challenge with Streptococcus pneumoniae . Similar protection studies could be designed for phnS-expressing Salmonella using the following approach:
Orally immunize mice with 10^9 CFU of recombinant Salmonella-phnS
Measure antibody responses at regular intervals
Challenge with wild-type pathogen at 4-6 weeks post-immunization
Monitor survival rates and bacterial clearance
Immune Response Optimization:
To enhance immune responses to phnS, consider these strategies:
Co-express immunomodulatory molecules (cytokines, chemokines)
Include multiple epitopes or fusion proteins
Optimize antigen dose through promoter strength modulation
Incorporate adjuvant properties through lipid modifications
Multiple factors affect the stability and expression of recombinant phnS in Salmonella vaccine strains:
Genetic Stability Factors:
Plasmid copy number - high copy numbers may increase metabolic burden
Promoter strength - strong promoters may lead to toxicity
Codon optimization - adaptation to Salmonella codon usage improves expression
Selection system - balanced-lethal systems provide greater stability than antibiotic resistance
Expression Level Optimization:
When expressing potentially toxic recombinant proteins in Salmonella, stability issues may arise. For instance, high-copy-number plasmids like pUC ori were shown to be relatively unstable for expressing recombinant PspA in Salmonella, with approximately 50% of cells losing the plasmid after 24 hours of growth . To address this:
Use Asd+ vectors with reduced expression of Asd to minimize selective disadvantage
Consider plasmids with lower copy numbers for potentially toxic proteins
Employ inducible promoters to control expression timing and level
Balance expression level with cell viability and plasmid stability
| Factor | Optimal Approach | Impact on Expression | Impact on Stability |
|---|---|---|---|
| Plasmid copy number | Medium to low | Moderate expression | Higher stability |
| Promoter | Moderately strong, inducible | Controlled expression | Improved stability |
| Signal sequence | β-lactamase signal sequence | Periplasmic targeting | Enhanced secretion |
| Host strain | Δcrp-28 Δasd mutants | Attenuated virulence | Maintained colonization |
| Growth conditions | Reduced temperature (30°C) | Improved folding | Enhanced stability |
The immune response to periplasmic proteins like phnS differs significantly from responses to other cellular components of Salmonella:
Differential Immune Response Patterns:
Studies with recombinant PspA expressed in Salmonella revealed that approximately 50% of the antibodies induced to the recombinant periplasmic protein were IgG1 (indicating a Th2-type response), whereas 60-70% of antibodies to LPS and 80-90% of those to outer membrane proteins (OMPs) were IgG2a (indicating a Th1-type response) . This differential pattern has important implications for vaccine design.
Antigen Processing Pathways:
Periplasmic proteins may be processed differently from cytoplasmic or membrane proteins
Secreted periplasmic proteins can directly interact with host immune cells
Location affects which antigen presentation pathway is utilized (MHC class I vs. class II)
Considerations for CTL Recognition:
Studies with Salmonella expressing influenza nucleoprotein showed that nonphagocytic cells infected with recombinant Salmonella were resistant to recognition by antigen-specific cytotoxic T lymphocytes (CTL) . This suggests that while CTL responses can be generated against Salmonella antigens, the bacteria may evade CTL attack once they enter nonphagocytic cells .
Evaluation of phnS binding to phosphonate substrates requires sophisticated biophysical techniques:
Quantitative Binding Assays:
Isothermal Titration Calorimetry (ITC)
Direct measurement of binding thermodynamics
Provides KD, ΔH, ΔS, and binding stoichiometry
Requires 0.5-2 mg of purified protein
Surface Plasmon Resonance (SPR)
Real-time binding kinetics (kon and koff)
Requires immobilization of either protein or substrate
Sensitive to buffer conditions and surface chemistry
Microscale Thermophoresis (MST)
Requires small amounts of protein (nM range)
Measures changes in thermophoretic mobility upon binding
Suitable for a wide range of binding affinities
Functional Transport Assays:
To validate binding data with functional significance, incorporate:
Radioactive substrate uptake assays in reconstituted proteoliposomes
Competition assays with structural analogs to determine specificity
Transport assays in phnS-deficient Salmonella complemented with recombinant phnS
When storing purified phnS for these assays, maintain in Tris/PBS-based buffer with 6% trehalose at pH 8.0, and add glycerol to 50% final concentration for freezer storage to preserve activity .
Multiple complementary approaches can be used for comprehensive epitope mapping of phnS:
Integrated Epitope Mapping Strategy:
A recent study on Salmonella enterica serotype Heidelberg FlgK protein demonstrated the value of combining in silico prediction with in vivo experimental validation . This integrated approach identified three common shared consensus peptide epitope sequences, providing a rational basis for vaccine development .
In Silico Prediction Methods:
Linear B-cell epitope prediction using algorithms like BepiPred, ABCpred
T-cell epitope prediction using IEDB Analysis Resource
Structural epitope prediction using Ellipro or DiscoTope
Immunogenicity prediction based on physicochemical properties
Experimental Validation Techniques:
Peptide microarrays with overlapping peptides covering the entire phnS sequence
Mass spectrometry in association with immunoprecipitation proteomics
Phage display libraries expressing phnS fragments
ELISA with synthesized predicted epitope peptides
Validation Workflow:
For robust epitope identification, implement this sequential approach:
Perform in silico prediction to identify candidate epitopes
Synthesize corresponding peptides
Test reactivity with sera from immunized animals
Confirm epitopes using mass spectrometry with immunoprecipitation
Validate immunogenicity of identified epitopes through immunization studies