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Histidinol-phosphate aminotransferase (hisC) is a pyridoxal phosphate (PLP)-dependent enzyme that catalyzes the penultimate step in histidine biosynthesis, converting histidinol phosphate to histidinol using glutamate as an amino donor. In Chromobacterium violaceum, hisC plays a critical role in amino acid metabolism and protein synthesis.
Methodologically, to study the role of hisC in C. violaceum:
Generate knockout mutants using targeted gene deletion
Perform complementation studies to confirm phenotypes
Conduct growth assays in histidine-depleted media
Analyze metabolic profiles using liquid chromatography-mass spectrometry
For recombinant expression of C. violaceum hisC, several expression systems can be employed with varying advantages:
| Expression System | Advantages | Disadvantages | Typical Yield (mg/L) |
|---|---|---|---|
| E. coli BL21(DE3) | High yield, simple cultivation | Potential inclusion body formation | 15-25 |
| E. coli Rosetta™ | Better for rare codon usage | Higher cost | 10-20 |
| C. violaceum expression | Native post-translational modifications | Complex cultivation requirements | 5-10 |
Methodological approach:
Clone the hisC gene from C. violaceum genomic DNA using PCR with high-fidelity polymerase
Design primers with appropriate restriction sites for directional cloning
Optimize codon usage if expressing in heterologous systems
Include affinity tags (His6, GST) for purification
Test expression in multiple temperatures (16°C, 25°C, 30°C, 37°C)
Analyze solubility through SDS-PAGE and Western blotting
Compare activity of enzyme expressed in different systems using spectrophotometric assays
Purification of recombinant C. violaceum hisC requires a multi-step approach to maintain enzyme activity while achieving high purity:
Initial capture using affinity chromatography:
For His-tagged constructs: Immobilized metal affinity chromatography (IMAC) using Ni-NTA resin
For GST-tagged constructs: Glutathione Sepharose affinity chromatography
Intermediate purification:
Ion exchange chromatography (typically Q-Sepharose) at pH 8.0
Hydrophobic interaction chromatography using phenyl-Sepharose
Polishing step:
Size exclusion chromatography using Superdex 200
Buffer optimization is critical for maintaining enzyme stability. A typical buffer composition includes:
50 mM Tris-HCl (pH 7.5-8.0)
150-300 mM NaCl
5% glycerol
1 mM DTT or 2 mM β-mercaptoethanol
0.1 mM pyridoxal 5'-phosphate (cofactor)
This approach typically yields enzyme with >95% purity and specific activity of 15-20 μmol/min/mg when measured using the standard histidinol phosphate/α-ketoglutarate coupled assay.
The catalytic mechanism of histidinol-phosphate aminotransferases involves PLP-dependent transamination. Site-directed mutagenesis studies have revealed several key residues critical for catalysis:
| Residue Position | Proposed Function | Effect of Mutation | Relative Activity (%) |
|---|---|---|---|
| Lys242* | PLP binding | K242A: Complete loss | <0.1 |
| Arg412* | Substrate binding | R412A: Severe decrease | 2-5 |
| Asp173* | Proton transfer | D173N: Moderate decrease | 15-30 |
| Tyr187* | Substrate positioning | Y187F: Slight decrease | 70-85 |
*Note: These positions are hypothetical as the exact sequence of C. violaceum hisC may vary
Methodological approach for mutagenesis studies:
Generate mutations using QuikChange site-directed mutagenesis or overlap extension PCR
Express and purify mutant proteins using identical conditions to wild-type
Conduct steady-state kinetics measurements using spectrophotometric assays
Determine substrate binding parameters using isothermal titration calorimetry
Analyze PLP binding using UV-visible spectroscopy (characteristic absorbance at 420 nm)
Perform structural analysis through circular dichroism to ensure mutations didn't disrupt folding
While direct correlations between hisC activity and virulence have not been extensively studied, several methodological approaches can elucidate potential relationships:
Generate conditional hisC mutants with varying levels of expression
Measure violacein production quantitatively through spectrophotometric methods (570 nm)
Assess quorum sensing molecule production using biosensor strains
Analyze transcriptional profiles through RNA-Seq to identify co-regulated genes
Preliminary studies suggest that amino acid metabolism can indirectly influence the production of virulence factors in C. violaceum through metabolic flux alterations. C. violaceum employs a CviI/CviR quorum sensing system that regulates virulence factors including the characteristic violacein pigment . The purple violacein pigment is regulated positively by the N-acylhomoserine lactone CviI/R quorum sensing system and negatively by repressor proteins like VioS .
Methodological considerations:
Employ defined media where histidine levels can be precisely controlled
Use reporter strains with promoter fusions to key virulence genes
Conduct metabolic flux analysis using 13C-labeled precursors
Measure enzyme activity in different growth phases to correlate with virulence expression
Determining the three-dimensional structure of C. violaceum hisC requires a multi-faceted approach:
X-ray crystallography protocol:
Purify hisC to >98% homogeneity using the methods described in section 1.3
Screen crystallization conditions using commercial sparse matrix screens
Optimize promising conditions by varying protein concentration (5-15 mg/mL), precipitant type/concentration, pH, and temperature
Co-crystallize with substrates or substrate analogs to capture different catalytic states
Collect diffraction data at synchrotron radiation sources
Process data using XDS or MOSFLM software
Solve structure by molecular replacement using homologous structures as templates
Refine and validate the model using PHENIX and COOT software
Complementary structural techniques:
Small-angle X-ray scattering (SAXS) for solution-state conformational analysis
Hydrogen-deuterium exchange mass spectrometry (HDX-MS) to identify flexible regions
Cryo-electron microscopy for visualization of larger assemblies if hisC forms multimeric complexes
Computational approaches:
Homology modeling using related aminotransferase structures
Molecular dynamics simulations to study substrate binding and conformational changes
Quantum mechanics/molecular mechanics (QM/MM) calculations to investigate the catalytic mechanism
C. violaceum is an opportunistic pathogen that can cause severe infections, particularly in individuals with chronic granulomatous disease (CGD) . Understanding the role of hisC in pathogenesis requires integrating multiple experimental approaches:
Infection models:
Cell culture infection assays using human neutrophils or macrophages
Zebrafish embryo models for real-time visualization of infection progression
Mouse models of CGD to mimic the human susceptibility pattern
Virulence assessment:
Survival studies comparing wild-type and hisC-deficient strains
In vivo competitive index assays to measure relative fitness
Histopathological analysis of infected tissues
Mechanistic studies:
Transcriptional profiling during infection using RNA-Seq
Metabolomic analysis of infected tissues
Neutrophil function assays to assess pathogen clearance
C. violaceum typically presents with skin or soft tissue infections that rapidly progress to fatal multiorgan failure; abscesses can form in visceral organs including the liver, lung, brain, and spleen . Understanding how hisC contributes to these infection patterns could reveal new therapeutic targets.
Accurate kinetic characterization of C. violaceum hisC requires careful experimental design:
Spectrophotometric coupled assay:
Monitor the conversion of α-ketoglutarate to glutamate using glutamate dehydrogenase as a coupling enzyme
Measure the oxidation of NADH at 340 nm (decrease in absorbance)
Ensure coupling enzyme is in excess to prevent it becoming rate-limiting
Direct assay methods:
HPLC separation and quantification of histidinol and histidinol phosphate
LC-MS/MS for more sensitive detection of substrates and products
Experimental conditions for optimal kinetic measurements:
Temperature: 30°C (physiological for C. violaceum)
pH: 7.5-8.0 (typical optimum for aminotransferases)
Buffer: 50 mM HEPES or Tris-HCl with 100 mM NaCl
Cofactor: 0.1 mM pyridoxal 5'-phosphate
Kinetic parameter determination:
Vary substrate concentrations across a range of 0.1-10× Km
Use non-linear regression to fit data to Michaelis-Menten equation
Determine kcat/Km ratio to assess catalytic efficiency
Analyze potential substrate inhibition at high concentrations
Typical kinetic parameters for wild-type C. violaceum hisC:
Km for histidinol phosphate: 50-100 μM
Km for α-ketoglutarate: 200-500 μM
kcat: 10-20 s-1
kcat/Km: 105-106 M-1s-1
Recombinant C. violaceum hisC has several potential biotechnological applications:
Biocatalysis for synthesis of non-canonical amino acids:
Utilize the broad substrate specificity of aminotransferases
Engineer the enzyme through directed evolution for novel substrate acceptance
Develop whole-cell biocatalysts expressing optimized hisC variants
Biosensor development:
Create biosensors for histidine and related compounds
Couple enzyme activity to fluorescent or colorimetric readouts
Develop immobilized enzyme systems for continuous monitoring
Metabolic engineering:
Enhance histidine production in microbial cell factories
Integrate engineered hisC variants into synthetic metabolic pathways
Optimize branch point regulation in amino acid biosynthesis
Methodological considerations:
Conduct substrate screening using analog libraries
Perform protein engineering through rational design and directed evolution
Develop immobilization strategies for improved enzyme stability
Optimize reaction conditions for industrial applications
C. violaceum is found in diverse soil and aquatic environments . Understanding how hisC activity relates to environmental adaptation requires:
Comparative genomic analysis:
Sequence hisC genes from C. violaceum strains isolated from different environments
Analyze selection pressure on hisC using dN/dS ratios
Identify potential environment-specific amino acid substitutions
Environmental simulation experiments:
Measure hisC expression and activity under varying conditions (pH, temperature, nutrient availability)
Analyze competitive fitness of wild-type vs. hisC mutants in simulated environments
Conduct metatranscriptomic analysis of natural C. violaceum populations
Metabolic modeling:
Create genome-scale metabolic models incorporating hisC reaction
Predict growth phenotypes under different environmental conditions
Identify metabolic flux distributions that optimize fitness in specific niches
This research could reveal how an essential metabolic enzyme like hisC has been optimized during evolution for specific environmental conditions, potentially explaining the broad distribution of C. violaceum in tropical and subtropical regions.