Function: Catalyzes the condensation of (S)-aspartate-β-semialdehyde [(S)-ASA] and pyruvate to 4-hydroxy-tetrahydrodipicolinate (HTPA).
KEGG: lic:LIC_10842
STRING: 267671.LIC10842
Dihydrodipicolinate synthase (dapA) is a critical enzyme in the lysine biosynthesis pathway of pathogenic Leptospira species, including L. interrogans serogroup Icterohaemorrhagiae serovar copenhageni. The enzyme catalyzes the condensation of pyruvate and aspartate semialdehyde to form 4-hydroxy-2,3,4,5-tetrahydrodipicolinate, a rate-limiting step in the pathway. This enzyme is particularly significant in Leptospira research for several reasons:
It represents a potential therapeutic target since the lysine biosynthetic pathway is absent in mammals
It serves as an antigenic marker for development of diagnostic tools
Its conservation across pathogenic Leptospira makes it useful for species identification
Unlike saprophytic Leptospira species like L. biflexa (which is non-pathogenic), L. interrogans expresses proteins that contribute to its virulence and pathogenicity in humans . The recombinant dapA protein is being studied for its potential applications in both diagnostic and vaccine development contexts.
Recombinant dapA protein has specific characteristics that distinguish it from other commonly studied Leptospira recombinant proteins:
While LipL32 has been extensively studied and shows the highest sensitivity for diagnostic purposes, dapA is being investigated for its potential as both a diagnostic marker and vaccine candidate due to its role in bacterial metabolism and survival. The methodology for studying dapA follows similar recombinant protein approaches but focuses on different biological pathways than the membrane proteins traditionally investigated .
The optimal experimental design for expressing recombinant Leptospira dapA requires careful consideration of multiple factors:
Vector Selection and Cloning Strategy:
Select a suitable expression vector containing appropriate promoters (T7, tac) and affinity tags (His6, GST)
Design primers containing restriction sites compatible with your chosen vector
Amplify the dapA gene from L. interrogans genomic DNA using PCR
Restriction digest and ligate the amplified fragment into the expression vector
Verify successful cloning by DNA sequencing
Expression System Optimization:
Transform the construct into an appropriate E. coli strain (BL21(DE3), Rosetta)
Optimize expression conditions:
Temperature (typically 18-30°C)
IPTG concentration (0.1-1.0 mM)
Induction time (3-18 hours)
Perform small-scale expression tests to determine optimal conditions
Similar to the approach used for LIC11051 and LIC11505 described in , the dapA gene should be cloned excluding the signal peptide sequence when present. The pAE vector system has proven effective for Leptospira protein expression, allowing for N-terminal histidine tagging that facilitates purification . A critical aspect is ensuring proper folding of the recombinant protein to maintain enzymatic activity and antigenicity.
Purification of recombinant dapA protein to high purity requires a multi-step approach:
Primary Purification (Affinity Chromatography):
For His-tagged dapA:
Lyse bacteria under native conditions (if protein is soluble) or denaturing conditions (if in inclusion bodies)
Clarify lysate by centrifugation at 15,000×g for 20 minutes at 4°C
Apply supernatant to Ni-NTA resin
Wash with buffer containing low imidazole (20-50 mM)
Elute with high imidazole buffer (250-500 mM)
Secondary Purification:
Size exclusion chromatography:
Separate based on molecular size to remove aggregates and impurities
Use buffer conditions that maintain protein stability
Tertiary Purification (Optional):
Ion exchange chromatography:
Based on the theoretical pI of dapA protein
Typically anion exchange (if pI < 7) or cation exchange (if pI > 7)
The purity should be assessed by SDS-PAGE, with protein identity confirmed by Western blot using anti-His antibodies or dapA-specific antibodies. For highest activity, avoiding denaturation during purification is crucial unless refolding protocols have been optimized. Based on similar approaches with other Leptospira proteins, yields of 10-15 mg of purified protein per liter of culture are typically achievable .
Optimizing recombinant dapA for diagnostic applications requires addressing several critical parameters:
Antigenicity Enhancement:
Structural analysis to identify immunodominant epitopes
Engineering to expose key epitopes while maintaining protein stability
Potential fusion with carrier proteins to enhance immunogenicity
Assay Development:
ELISA optimization:
Performance Validation:
Analytical parameters:
Sensitivity and specificity assessment using panels of confirmed positive and negative sera
Cross-reactivity testing with sera from related conditions
Determination of positive and negative predictive values
When developing these assays, it's critical to include appropriate controls. For instance, one positive control serum sample that reacts with all recombinant antigens and one negative control serum sample should be included in duplicate on each plate as a quality control measure . Based on studies with other Leptospira recombinant proteins, a cutoff value defined as the 96th percentile of absorbance values among serum samples from individuals residing in endemic regions provides good specificity .
The assay should be validated with both IgM and IgG detection systems, as different recombinant proteins show varying patterns of reactivity with these antibody classes during infection progression .
Protein solubility challenges with recombinant dapA can be addressed through multiple strategic approaches:
Expression Condition Modifications:
Lower induction temperature (16-25°C) to slow folding and prevent aggregation
Reduce IPTG concentration (0.1-0.5 mM) to decrease expression rate
Co-express with molecular chaperones (GroEL/GroES, DnaK, DnaJ)
Use specialized E. coli strains designed for difficult proteins (Arctic Express, SHuffle)
Protein Engineering Solutions:
Domain truncation:
Express separate domains if full-length protein is insoluble
For dapA, consider expressing catalytic domain separately from regulatory domains
Fusion partners:
MBP (maltose-binding protein) - highly effective solubility enhancer
SUMO - enhances solubility and can be precisely cleaved
Thioredoxin - assists with disulfide bond formation
Buffer Optimization:
Screen additives systematically:
Osmolytes (glycerol, sucrose, arginine, proline)
Salt concentrations (150-500 mM NaCl)
pH range (typically pH 7.0-8.5)
Detergents at low concentrations (0.05-0.1% Triton X-100)
Research with other Leptospira proteins has shown that reducing Triton X-100 concentration can significantly improve protein solubility while maintaining native conformation. This approach was effective with membrane-associated proteins like LipL32 and could be applicable to dapA if solubility issues arise.
Validating enzymatic activity of recombinant dapA requires robust experimental designs with appropriate controls:
Spectrophotometric Assays:
Continuous assay measuring dihydrodipicolinate formation:
Monitor increase in absorbance at 270 nm
Reaction mixture containing pyruvate, aspartate semialdehyde, and buffer
Calculate specific activity (μmol/min/mg protein)
Coupled Enzyme Assays:
Link dapA activity to NADH oxidation:
Include auxiliary enzymes that couple product formation to NADH consumption
Monitor decrease in absorbance at 340 nm
Allows for more sensitive detection of activity
Activity Validation Controls:
Positive controls:
Commercial dapA from related species
Native enzyme extract from Leptospira cultures
Negative controls:
Heat-inactivated enzyme preparations
Reaction mixtures lacking essential substrates
Inhibition studies:
Known dapA inhibitors to confirm specificity of the reaction
Kinetic Parameter Determination:
Measure reaction rates at varying substrate concentrations
Determine Km, Vmax, and kcat using appropriate enzyme kinetic models
Compare kinetic parameters with published values for native enzyme
These enzymatic assays should be performed in triplicate with statistical analysis to ensure reproducibility. Confirmation of enzymatic activity is crucial for applications in structural biology, inhibitor discovery, and understanding the metabolic role of dapA in Leptospira pathogenesis.
Designing experiments to evaluate cross-reactivity requires comprehensive planning and multiple validation strategies:
Sequence and Structural Analysis (Computational Phase):
Perform multiple sequence alignments of dapA across bacterial species
Identify regions of high conservation that may lead to cross-reactivity
Model epitope structures to predict antibody binding regions
Experimental Cross-Reactivity Assessment:
ELISA-based methods:
Coat plates with recombinant dapA and dapA proteins from related bacteria
Test reactivity of anti-dapA antibodies against all proteins
Include control proteins from unrelated metabolic pathways
Western blot analysis:
Prepare lysates from multiple bacterial species
Probe with anti-dapA antibodies
Quantify signal intensity to assess relative cross-reactivity
Antibody absorption studies:
Pre-absorb antibodies with potential cross-reactive proteins
Test remaining reactivity against target dapA
Quantify degree of absorption as measure of epitope sharing
Validation with Clinical Samples:
Test specificity against panels of sera:
Patients with confirmed leptospirosis
Patients with other spirochetal infections (Borrelia, Treponema)
Patients with non-spirochetal bacterial infections
Healthy controls from endemic and non-endemic regions
In a similar approach to that used for other Leptospira recombinant proteins, specificity should be evaluated against sera from patients with diseases that might be initially confused with leptospirosis, such as dengue fever and hepatitis . Additionally, testing against sera from individuals with other spirochetal diseases like Lyme disease is essential, as studies with LipL32 showed 23% cross-reactivity with Lyme disease patient sera .
Investigating dapA's role in pathogenesis requires multiple complementary approaches:
Genetic Manipulation Studies:
Gene knockout or knockdown:
CRISPR-Cas9 system adapted for Leptospira
Transposon mutagenesis targeting dapA
Conditional expression systems to regulate dapA levels
Phenotypic analysis of mutants:
Growth rate in defined media with and without lysine supplementation
Survival in various environmental conditions
Virulence in animal models
Expression Analysis:
Transcriptomics:
RNA-seq to measure dapA expression under various conditions
qRT-PCR for targeted expression analysis during infection stages
In vivo expression technology (IVET) to identify temporal expression patterns
Proteomics:
Quantitative proteomics to measure dapA protein levels
Phosphoproteomics to identify potential regulatory modifications
Protein-protein interaction studies to identify functional partners
Functional Analyses:
Metabolic flux analysis:
Isotope labeling to track lysine biosynthesis
Metabolite profiling of wild-type versus dapA mutants
Analysis of metabolic adaptation during infection
Host-pathogen interaction studies:
Determine if dapA induces specific immune responses
Assess impact of dapA inhibition on host cell interactions
Evaluate dapA as a potential virulence factor
Similar methodological approaches have been successful in characterizing the role of other Leptospira proteins in pathogenesis, particularly the Lig proteins which have been shown to be important in adhesion and immunoprotection .
Evaluating dapA as a vaccine candidate requires a systematic experimental approach:
Antigen Preparation and Formulation:
Protein engineering considerations:
Full-length versus truncated versions
Fusion with carrier proteins or adjuvant molecules
Multi-epitope constructs combining dapA with other immunogenic proteins
Adjuvant screening:
Aluminum hydroxide (traditional, Th2-biased)
Oil-in-water emulsions (more balanced Th1/Th2)
TLR agonists (for enhanced cellular immunity)
Combination approaches
Immunization Protocol Design:
Animal model selection:
Hamster model (gold standard for leptospirosis)
Guinea pig or mouse models for preliminary screening
Non-human primates for advanced candidates
Vaccination schedule optimization:
Prime-boost intervals (typically 3 weeks apart)
Dosage ranging studies
Route of administration comparison (subcutaneous, intramuscular, intradermal)
Immunological Assessment:
Humoral immunity:
ELISA for antibody titers
Functional assays (growth inhibition, bactericidal activity)
Western blot for epitope recognition
Cellular immunity:
T-cell proliferation assays
Cytokine profiling (IFN-γ, IL-4, IL-17)
Flow cytometry for T-cell subset activation
Protection Evaluation:
Challenge studies:
Lethal dose challenge with virulent Leptospira
Renal colonization assessment
Histopathological evaluation of target organs
Cross-protection analysis:
Challenge with heterologous serovars
Assessment of breadth of protection
Duration of immunity studies
Similar experimental designs have been used successfully to evaluate other recombinant Leptospira proteins as vaccine candidates. For example, recombinant LigA was evaluated in a hamster model using aluminum hydroxide as an adjuvant, with immunizations at 3 and 6 weeks of age, followed by challenge 3 weeks after the last vaccination . This approach could serve as a template for dapA vaccine studies.
A comprehensive experimental design for comparative diagnostic evaluation should include:
Study Design Parameters:
Sample selection:
Paired acute and convalescent sera from confirmed leptospirosis cases
Sera from patients with similar clinical presentations but different etiologies
Healthy controls from both endemic and non-endemic regions
Sample sizes with adequate statistical power (minimum 50-100 per group)
Gold standard definition:
Microscopic agglutination test (MAT) as reference standard
Culture confirmation when available
Clinical criteria for probable cases
Parallel Testing Protocol:
Side-by-side ELISA methodology:
Standardized conditions for all antigens
Identical sample processing and dilutions
Inclusion of dapA alongside established antigens (LipL32, LipL41, OmpL1)
Testing for both IgM and IgG antibodies
Statistical comparison framework:
ROC curve analysis for each antigen
Calculation of area under curve (AUC)
Determination of optimal cutoff values
Sensitivity, specificity, PPV, NPV at matched specificity levels
Temporal Diagnostic Value:
Time-course analysis:
Performance at different stages of infection (days 0-5, 6-10, 11-20, >20)
Seroconversion detection rates
Comparison of early versus late diagnostic capability
Combination analysis:
Statistical models for combining multiple antigens
Decision tree algorithms for optimal test sequencing
Additive value of dapA to existing antigen panels
Based on methodologies used to evaluate other Leptospira recombinant antigens, it's crucial to include paired sera from at least 50 confirmed cases, with first samples collected during acute illness (median 7 days after symptom onset) and second samples collected during convalescence (median 29.5 days after symptom onset) . This approach allows proper assessment of the diagnostic value across the disease course.
Obtaining high-quality recombinant protein for structural studies requires specialized experimental approaches:
Expression System Optimization:
Vector and host selection:
Baculovirus expression for complex proteins
Cell-free expression systems for toxic proteins
Specialized E. coli strains (SHuffle, Origami) for disulfide-rich proteins
Fusion tag strategies for crystallization:
T4 lysozyme fusion for membrane proteins
SUMO tag for enhanced solubility with precise removal
Surface entropy reduction to promote crystal contacts
Purification for Structural Biology:
Chromatography sequence:
Initial IMAC purification
Tag removal with high-precision proteases (TEV, PreScission, SUMO protease)
Size exclusion chromatography as final polishing step
Protein quality assessment:
Dynamic light scattering for monodispersity
Thermal shift assays for stability
Limited proteolysis to identify flexible regions
Crystallization Screening:
High-throughput initial screening:
Commercial sparse matrix screens (500-1000 conditions)
Systematic grid screens around promising conditions
Additive screens to improve crystal quality
Crystal optimization techniques:
Seeding approaches (micro, macro, cross-seeding)
Crystal growth modifiers
Counter-diffusion methods for slow crystallization
Alternative Approaches:
NMR sample preparation:
15N/13C labeling protocols
Deuteration for larger proteins
Selective methyl labeling for very large proteins
Cryo-EM sample preparation:
GraFix method for stabilizing complexes
Grid optimization to prevent preferred orientation
Detergent screening for membrane proteins
This experimental design can be further refined based on initial results and specific challenges encountered with dapA. Similar approaches have been successful for structural studies of other bacterial enzymes of comparable size and complexity.