Haemophilus ducreyi is a Gram-negative bacterium that causes chancroid, a genital ulcer disease (GUD) . Recombinant Haemophilus ducreyi tRNA pseudouridine synthase A (TruA) is a protein that can be produced using recombinant DNA technology, where the gene encoding TruA from H. ducreyi is inserted into a host organism (e.g., E. coli) to produce large quantities of the protein . TruA is a tRNA pseudouridine synthase, an enzyme that modifies transfer RNA (tRNA) by converting uridine to pseudouridine .
The virulence mechanisms of Haemophilus ducreyi in the production of genital ulcers are not well understood . H. ducreyi expresses a soluble cytotoxic activity that can kill cells in vitro . Genes from H. ducreyi, such as cdtA, cdtB, and cdtC, have been found to encode this cytotoxin . Recombinant DNA techniques have been used to express these genes and study their functions .
To produce recombinant TruA, the truA gene from H. ducreyi is typically cloned into an expression vector, which is then transformed into a host organism such as E. coli . The host cells are cultured, and protein expression is induced. The recombinant TruA protein is then purified from the cell lysate using techniques such as affinity chromatography .
Recombinant proteins from H. ducreyi, including hemoglobin receptor (HgbA), heme receptor (TdhA), and potentially TruA, are purified and used as antigens in serological assays . These assays, such as the recombinant protein-based enzyme immunoassay (rpEIA), are used to detect antibodies against H. ducreyi in serum specimens from patients with chancroid and other genital ulcerative diseases .
Essential enzymes of Mycobacterium tuberculosis (Mtb) are potential targets for novel drug regimens against tuberculosis (TB) . Similarly, essential enzymes in H. ducreyi, such as TruA, could be explored as potential targets for developing new antibacterial drugs .
Expression of Soluble Cytotoxic Activity: Culture supernatant from H. ducreyi strain 35000 can kill HeLa, HEp-2, and Chinese hamster ovary cells in vitro .
cdtABC Gene Cluster: The cdtABC gene cluster from H. ducreyi encodes a soluble cytotoxin . When this gene cluster is introduced into E. coli, the recombinant strain releases a cytotoxic activity into the culture supernatant .
Neutralizing Antibody: A H. ducreyi cytotoxin-neutralizing monoclonal antibody (mAb) binds to the product of the cdtC gene .
KEGG: hdu:HD_1104
STRING: 233412.HD1104
Haemophilus ducreyi tRNA pseudouridine synthase A (truA) belongs to the TruA family of pseudouridine synthases that catalyze the conversion of uridine to pseudouridine at specific positions in tRNA molecules. Based on comparative studies with TruA from other bacteria, H. ducreyi TruA likely modifies positions 38, 39, and/or 40 in the anticodon stem-loop (ASL) of multiple tRNAs . Unlike other pseudouridine synthases such as TruB that target conserved sequences, TruA exhibits remarkable substrate "promiscuity" by modifying tRNAs with highly divergent sequences .
H. ducreyi contains several pseudouridine synthases including TruB, RluA, and TruC, which have been characterized to varying degrees . TruA differs from these enzymes in three key aspects:
Substrate range: TruA modifies multiple tRNAs with divergent sequences, whereas other pseudouridine synthases like TruB typically have more restricted target sites
Target flexibility: TruA can modify nucleotides that are as far as 15 Å apart using a single active site
Structural organization: While all pseudouridine synthases contain a conserved catalytic domain with an essential aspartate residue, they differ in their RNA recognition domains
These distinctive features make TruA an intriguing subject for studying RNA modification mechanisms in pathogenic bacteria like H. ducreyi.
Based on experimental protocols used for similar H. ducreyi pseudouridine synthases, the following optimized methodology is recommended:
E. coli is the preferred heterologous expression system for H. ducreyi pseudouridine synthases, as demonstrated with RluA and TruC . For truA, a pET-based expression vector with an N-terminal His-tag facilitates purification.
Growth medium: LB broth supplemented with appropriate antibiotics
Induction: 0.5-1.0 mM IPTG when cultures reach OD₆₀₀ = 0.6-0.8
Post-induction growth: 16-18 hours at 16-18°C (reduced temperature minimizes inclusion body formation)
Cell lysis using sonication in buffer containing 50 mM Tris-HCl (pH 8.0), 300 mM NaCl, 10% glycerol, and protease inhibitors
Immobilized metal affinity chromatography (IMAC) using Ni-NTA resin
Size exclusion chromatography for final purification
Assess purity by SDS-PAGE (expect >85% purity similar to other H. ducreyi pseudouridine synthases) . Verify identity by mass spectrometry and Western blotting.
Researchers should note that expression levels may be enhanced by codon optimization of the H. ducreyi truA gene for E. coli expression, as bacterial codon usage biases can affect heterologous protein production.
Measuring the enzymatic activity of H. ducreyi TruA requires specific approaches to detect pseudouridine formation. The following methodological approaches are recommended:
For H. ducreyi TruA, suitable substrates include in vitro transcribed tRNAs containing uridines at positions 38-40 in the anticodon stem-loop. Based on TruA's known substrate promiscuity, preparing multiple tRNA substrates with different sequences is advisable .
Tritium Release Assay:
Label substrate RNA with [³H]UTP during in vitro transcription
Incubate labeled RNA with purified TruA
Measure released tritium using scintillation counting
Calculate enzyme activity based on the amount of tritium released
CMC-Primer Extension Assay:
Treat RNA with N-cyclohexyl-N'-(2-morpholinoethyl)carbodiimide (CMC) after TruA reaction
Perform reverse transcription (RT stops at pseudouridine-CMC adducts)
Analyze RT products by gel electrophoresis
Quantify band intensity to determine pseudouridylation efficiency
Mass Spectrometry:
Digest RNA enzymatically after TruA reaction
Analyze by LC-MS/MS to detect pseudouridine-containing oligonucleotides
Compare with control samples to quantify pseudouridylation
Buffer: 50 mM Tris-HCl (pH 8.0), 100 mM NH₄Cl, 5 mM MgCl₂, 1 mM DTT
Temperature: 37°C (optimal for most bacterial pseudouridine synthases)
Reaction time: 30-60 minutes (time course recommended to determine kinetics)
Enzyme kinetics should be determined by measuring initial velocities at various substrate concentrations. Using the Michaelis-Menten equation, calculate Km and kcat values to characterize the enzyme's catalytic efficiency.
The catalytic activity of TruA depends on several key structural features that can be investigated through various experimental approaches:
Catalytic Aspartate Residue: All pseudouridine synthases, including TruA, contain a completely conserved active site aspartate that is essential for catalysis . In H. ducreyi TruA, this residue can be identified through sequence alignment with other TruA proteins.
RNA-Binding Cleft: TruA contains flexible structural features in the tRNA-binding cleft that are responsible for primary tRNA interaction . Charged residues in intermediate positions within this cleft likely guide the tRNA to the active site.
Conformational Flexibility: Based on studies of TruA from other organisms, the enzyme likely undergoes conformational changes to facilitate access of the target uridine to the active site aspartate .
Site-Directed Mutagenesis:
Mutate the conserved catalytic aspartate to asparagine or alanine (D→N or D→A)
Create mutations in predicted RNA-binding residues
Assess effects on enzymatic activity using assays described in Question 3
Structural Analysis:
RNA-Protein Interaction Studies:
Electrophoretic mobility shift assays (EMSA) to measure binding affinity
Fluorescence resonance energy transfer (FRET) to study dynamic interactions
Footprinting assays to identify RNA contact points
Studies on TruB1 demonstrated that mutants with inactivated enzyme activity (mutations in conserved catalytic residues) retained RNA binding ability, while mutants with suppressed RNA-binding ability lost both RNA binding and enzymatic function . Similar approaches can be applied to H. ducreyi TruA to distinguish between catalytic and binding residues.
TruA exhibits unique substrate recognition characteristics compared to other pseudouridine synthases in H. ducreyi, which has important implications for experimental design and analysis:
Sequence vs. Structure Recognition:
TruA primarily recognizes structural features of the anticodon stem-loop rather than specific sequences, explaining its ability to modify multiple tRNAs with divergent sequences . In contrast, TruB recognizes a conserved sequence in the T-stem loop.
Substrate Flexibility Requirements:
TruA utilizes the intrinsic flexibility of the ASL for site promiscuity and appears to select against intrinsically stable tRNAs to avoid overstabilization through pseudouridylation . This suggests a balanced approach to maintaining RNA structural dynamics.
Multi-Site Recognition:
Unlike other pseudouridine synthases, TruA can modify nucleotides that are spatially distant (up to 15 Å apart) using a single active site , indicating a unique binding mode that allows repositioning of the substrate.
When designing experiments to study H. ducreyi TruA, researchers should:
Use multiple tRNA substrates with varying sequences in the ASL region
Compare folding energies and structural flexibility of target RNAs
Consider the potential impact of pseudouridylation on RNA stability and function
These distinctive recognition mechanisms make TruA particularly interesting for studying the evolution of RNA modification enzymes and their roles in bacterial physiology.
While direct evidence for TruA's role in H. ducreyi pathogenesis is limited, we can make informed inferences based on H. ducreyi's lifecycle and known functions of pseudouridine modifications:
Stress Adaptation:
H. ducreyi encounters various stresses during infection, including nutrient limitation, oxidative stress, and host defense mechanisms . Transcriptomic analysis of H. ducreyi during human infection revealed upregulation of genes involved in alternative carbon pathways, heat shock response, and growth arrest response . TruA-mediated tRNA modifications likely contribute to translational efficiency under these stress conditions.
Regulation of Virulence Factor Expression:
H. ducreyi expresses multiple virulence factors essential for infection, including hemoglobin receptors (HgbA), serum resistance proteins (DsrA), and adhesins . Optimal translation of these virulence factors may depend on TruA-modified tRNAs.
Survival in Abscess Environment:
H. ducreyi resides in abscesses during infection, where it must adapt to microaerophilic or anaerobic conditions . RNA modifications may enhance translational accuracy under these conditions.
Studies in other bacteria have shown that tRNA modifications, including pseudouridylation, can affect:
Translational fidelity and efficiency
Codon biases and synonymous codon choice
Stress response and adaptive capacity
Comparative Transcriptomics:
Generate an isogenic truA mutant in H. ducreyi
Compare transcriptomes and proteomes of wild-type and mutant strains
Identify changes in gene expression patterns, particularly of virulence factors
Infection Models:
Stress Response Assays:
Expose wild-type and truA mutant to various stresses (oxidative, nutrient limitation, pH)
Measure survival, growth rates, and protein synthesis under stress conditions
Analyze tRNA modification profiles using mass spectrometry
Understanding TruA's role in H. ducreyi pathogenesis could potentially reveal new targets for therapeutic intervention against this sexually transmitted pathogen.
Designing true experimental studies for H. ducreyi TruA requires careful consideration of control groups, variables, and randomization to establish causal relationships 12. The following methodological framework is recommended:
Generate an isogenic truA deletion mutant in H. ducreyi
Create a complemented strain by reintroducing truA on a plasmid
Confirm constructs by sequencing and expression analysis
Treatment Group: H. ducreyi truA mutant
Control Groups: Wild-type H. ducreyi and complemented strain
Replicate Structure: Minimum 3 biological replicates with 3 technical replicates each
Randomization: Randomize the order of sample processing and analysis to minimize bias
Measure growth rates in standard media and under various stress conditions
Variables to test: temperature, pH, nutrient limitation, oxidative stress
Data collection: OD₆₀₀ measurements, viable cell counts
Isolate total tRNA from all strains
Quantify pseudouridine at positions 38-40 using mass spectrometry
Compare modification profiles across strains and growth conditions
Measure global protein synthesis rates using pulse-chase experiments
Assess translation fidelity using reporter constructs
Quantify specific virulence factor expression levels
Human challenge model or swine model of H. ducreyi infection
Randomized inoculation sites
Blinded assessment of lesion development and bacterial recovery
Apply appropriate statistical tests based on data distribution
Use multiple comparison corrections for significance testing
Implement controls for potential confounding variables
This true experimental design approach will provide robust evidence for the causal relationship between TruA function and observed phenotypes in H. ducreyi.
The structural mechanisms of tRNA pseudouridylation by TruA exhibit several distinctive features compared to other pseudouridine synthases, with implications for experimental approaches:
Regional Modification:
Conformational Changes:
Catalytic Mechanism:
Recognizes a conserved sequence in the T-stem loop
Contains conserved domains for substrate recognition
The structural basis for TruA's unique mechanism likely involves:
Flexible RNA-Binding Cleft:
TruA contains remarkably flexible structural features in the tRNA-binding cleft that accommodate various tRNA sequences .
Charged Residue Positioning:
Charged residues occupying intermediate positions in the cleft guide the tRNA to the active site for catalysis .
Conformational Selection:
TruA appears to select substrates based on their intrinsic flexibility, avoiding overstabilization of tRNAs through pseudouridylation .
Crystallography with Different Substrates:
Co-crystallize H. ducreyi TruA with different tRNA substrates
Compare binding modes and conformational changes
Identify key interaction residues
Molecular Dynamics Simulations:
Model the interaction between TruA and various tRNA substrates
Simulate conformational changes during binding and catalysis
Predict the effects of mutations on substrate recognition
Hydrogen-Deuterium Exchange Mass Spectrometry:
Map protein dynamics during substrate binding
Identify regions with altered solvent accessibility
Compare flexibility changes in different enzyme-substrate complexes
Understanding these structural mechanisms is essential for developing targeted approaches to modulate TruA activity in pathogenic bacteria.
Site-directed mutagenesis provides powerful insights into the catalytic mechanism of H. ducreyi TruA. Based on structural and functional studies of pseudouridine synthases, the following strategic approaches are recommended:
Conserved Aspartate: The catalytic aspartate is essential for all pseudouridine synthases . Mutation to asparagine (D→N) preserves size but eliminates nucleophilic capacity, while mutation to alanine (D→A) creates a more drastic change.
Stabilizing Arginine: A conserved arginine stabilizes the catalytic aspartate. Mutation to lysine (R→K) maintains positive charge but alters geometry.
Aromatic Residue: TruA family typically contains a conserved tyrosine in the active site, whereas TruD family contains phenylalanine . Interchanging these residues (Y→F or F→Y) can provide insights into their specific roles.
Positively Charged Residues: Lysines and arginines in the RNA-binding cleft mediate interactions with the RNA phosphate backbone. Systematic alanine substitutions can identify critical binding residues.
Recognition Loop Residues: Residues in flexible loops often mediate specific RNA contacts. Mutations or small deletions can alter substrate specificity.
Hinge Region Residues: Mutations at domain interfaces can affect conformational dynamics essential for substrate binding and catalysis.
Sequence Alignment and Structural Modeling:
Mutant Design Strategy:
| Mutation Type | Purpose | Examples |
|---|---|---|
| Conservative | Test specific chemical properties | D→N, K→R, Y→F |
| Non-conservative | Eliminate function | D→A, K→A, Y→A |
| Charge reversal | Test electrostatic interactions | K→E, R→E |
| Double mutants | Test compensatory effects | D→N + R→K |
Functional Assessment:
Measure enzymatic activity using assays described in Question 3
Determine RNA binding affinities
Assess structural changes by circular dichroism or thermal stability assays
The TruB1 study demonstrated that mutations affecting enzyme activity (D48N, D90N) did not impact RNA binding, whereas a mutation affecting RNA binding (K64A) eliminated both binding and enzymatic function . This approach separates catalytic and binding functions and can be applied to H. ducreyi TruA.
Chimeric Enzymes: Create chimeras between H. ducreyi TruA and other pseudouridine synthases to test domain-specific functions
Systematic Alanine Scanning: Comprehensively map the functional surface of the enzyme
Suppressor Mutations: Identify secondary mutations that restore function to primary mutants
These mutagenesis approaches will provide mechanistic insights into how H. ducreyi TruA recognizes and modifies its substrates, potentially revealing unique features of this pathogen's RNA modification machinery.
Transcriptomic and genomic approaches offer powerful tools for understanding H. ducreyi TruA function in the context of infection, particularly given the challenges of studying this obligate human pathogen:
Previous studies have successfully performed RNA-Seq on H. ducreyi isolated from human pustules, revealing significant adaptations to the host environment . Similar approaches can be applied to study truA expression and its potential regulators:
Methodology:
Collect biopsy specimens from H. ducreyi-infected tissues
Isolate bacterial RNA using selective approaches
Perform RNA-Seq and compare to in vitro growth conditions
Identify co-regulated genes and potential regulatory networks
Key Findings from Existing Research:
H. ducreyi transcriptome in vivo shows upregulation of genes involved in alternative carbon utilization, stress response, and anaerobic adaptation . Understanding how truA expression correlates with these changes could reveal its role in adaptation.
Compare wild-type and truA mutant transcriptomes to identify genes affected by TruA-mediated tRNA modification:
Experimental Design:
Culture wild-type and truA mutant under various conditions (standard, stress, host-mimicking)
Perform RNA-Seq and compare transcriptomes
Identify differentially expressed genes, particularly those involved in virulence and stress response
Analysis Framework:
Focus on genes with altered codon usage patterns that might be sensitive to changes in tRNA modification status
Analyze truA sequence conservation across different H. ducreyi strains and related pathogens:
Strain Comparison:
H. ducreyi isolates fall into two classes that differ in several extracellular or secreted proteins and LOS structure . Comparing truA sequence and surrounding genomic context across these classes could reveal selective pressures.
Phylogenetic Analysis:
Determine if truA evolution correlates with adaptation to specific host niches or virulence characteristics
For pathogens with sufficient genomic diversity and phenotypic data, GWAS can identify genetic variants associated with specific phenotypes:
Approach:
Sequence truA and surrounding regions from diverse clinical isolates
Correlate genetic variants with clinical outcomes or in vitro phenotypes
Identify potential functional variants in truA or its regulatory elements
Combining transcriptomic/genomic data with structural analyses provides a comprehensive view of TruA function:
Map sequence conservation onto structural models to identify functionally important surfaces
Correlate expression changes with structural features to understand regulation
Use structural predictions to interpret the impact of natural variants
The RpoE sigma factor in H. ducreyi regulates multiple RNA modification enzymes, including pseudouridine synthases like RsuA and RluA . By analyzing the transcriptomic data from RpoE overexpression experiments, researchers identified 180 RpoE-dependent genes, 98% of which were upregulated . Similar approaches could reveal regulatory networks governing truA expression and link them to specific stress responses or virulence mechanisms.