tgt catalyzes a double-displacement mechanism involving two active sites: a nucleophile site attacking the C1' of nucleotide 34 to release guanine and a proton acceptor site facilitating PreQ1 incorporation . The reaction proceeds through a covalent enzyme-RNA intermediate, ensuring precise base-exchange at the anticodon loop of tRNAs for aspartic acid, asparagine, histidine, and tyrosine .
Substrate Specificity: Targets tRNAs with GU(N) anticodons (e.g., tRNA-Asp, -Asn, -His, -Tyr) .
Catalytic Residues: Conserved aspartates (Asp89, Asp143, Asp264) in the active site, shared across bacterial and eukaryotic homologs .
tgt interacts with enzymes involved in tRNA modification and translation fidelity. Predicted partners include :
While bacterial tgt is a homodimer, human TGT forms a heterodimer with QTRTD1, which contributes to tRNA binding and queuine salvage . Cryo-EM studies of human TGT reveal additional tRNA-binding sites mediated by the non-catalytic subunit, absent in bacterial homologs . This structural divergence highlights evolutionary adaptations for substrate recognition in eukaryotes.
KEGG: hau:Haur_0632
STRING: 316274.Haur_0632
Queuine tRNA-ribosyltransferase (TGT) is an enzyme responsible for catalyzing the exchange of guanine for queuine or its precursor preQ1 (7-deazaguanine) at the wobble position of tRNAs with GU(N) anticodons (tRNA-Asp, -Asn, -His, and -Tyr), forming the hypermodified nucleoside queuosine (Q) . This post-transcriptional modification is critical for translation fidelity and efficiency.
The bacterial TGT enzyme recognizes a minimum sequence comprising a structured hairpin with a "UGU" loop motif containing the target guanine nucleobase . The enzyme's catalytic mechanism involves the exchange of the target guanine for the modified base through a covalent intermediate, enabling precise modification at specific positions within tRNA molecules.
While specific detailed characterization of H. aurantiacus TGT is limited in the current literature, general comparisons can be made with well-studied bacterial TGTs such as the Escherichia coli enzyme. H. aurantiacus, as a filamentous gliding bacterium with predatory capabilities , likely possesses TGT with potentially unique characteristics that may be optimized for its ecological niche.
Most bacterial TGTs share the core catalytic mechanism of nucleobase exchange and similar structural features for recognizing the conserved "UGU" motif in tRNA substrates. The E. coli TGT has been extensively characterized and can be used as a reference model for predicting H. aurantiacus TGT behavior, although species-specific variations in substrate specificity, kinetic parameters, and stability likely exist.
Based on successful expression systems used for similar enzymes from H. aurantiacus, the following approach is recommended:
Host strain: E. coli BL21(DE3) or similar expression strains
Expression vector: pET-based vectors with T7 promoter system
Growth conditions:
This two-temperature approach balances efficient cell growth with proper protein folding, which is particularly important for enzymes with complex structures like TGT.
Based on established purification protocols for similar enzymes, the following approach would be suitable:
Purification Protocol:
Cell lysis: Sonication or French press in buffer containing:
50 mM Tris-HCl (pH 7.5-8.0)
300 mM NaCl
5-10% glycerol
1 mM DTT
Protease inhibitor cocktail
Chromatography steps:
IMAC (Immobilized Metal Affinity Chromatography) for His-tagged constructs
Ion exchange chromatography (IEX)
Size exclusion chromatography (SEC) for final polishing
Storage buffer containing 50% glycerol at -20°C for long-term storage
Addition of reducing agents to prevent oxidation of critical cysteine residues
For thermal stability studies, consider using n-hexadecane organic overlay to prevent evaporation during long incubations at elevated temperatures
Based on studies with E. coli TGT, H. aurantiacus TGT could potentially be used for site-specific DNA labeling through a DNA-TAG (Transglycosylation At Guanosine) system. The key requirements would include:
Design of optimal DNA substrates:
Engineering minimal recognition sequences:
Selection of appropriate modified preQ1 substrates:
Biotin-labeled preQ1 for detection applications
Fluorophore-conjugated preQ1 for imaging applications
Affinity tags for isolation of labeled nucleic acids
| DNA Hairpin Variant | Recognition Element | Labeling Efficiency | Application |
|---|---|---|---|
| dTGT | Native DNA | Very low (<5%) | Not recommended |
| TGdU | Modified DNA | High (>90%) | Recommended for high-yield labeling |
| dUGdU | Double-modified | High (>90%) | Alternative high-yield substrate |
| TGT with optimized loop | Native with engineered context | Variable (50-95%) | Context-dependent applications |
This approach could be particularly valuable for generating DNA probes for Northern blotting and RNA FISH applications .
While specific kinetic parameters for H. aurantiacus TGT are not available in the literature, they can be determined using the following methodological approaches:
Experimental methods for kinetic characterization:
Initial rate determination:
Spectrophotometric assays monitoring substrate consumption or product formation
HPLC analysis of reaction products at different time points
Mass spectrometry to quantify modified versus unmodified substrates
Parameter determination:
Michaelis-Menten analysis varying substrate concentrations
Lineweaver-Burk plots for inhibition studies
Temperature and pH variation studies
Based on characterization of other enzymes from H. aurantiacus, such as tyrosine ammonia lyase (TAL), temperature and pH optima could be experimentally determined using activity measurements across ranges of conditions. For thermal stability, the approach described for FjTAL could be adapted, measuring residual activity after incubation at different temperatures and fitting to an exponential decay model: Activity ≈ kcat[E]·e^(-kinact·t) .
E. coli TGT has been shown to recognize both RNA and DNA substrates under specific conditions. While RNA with a "UGU" motif is the native substrate, modified DNA substrates containing "TGdU" or "dUGdU" can also be recognized . We can hypothesize that H. aurantiacus TGT may exhibit similar substrate flexibility, though with potentially different specificities based on its evolutionary adaptations.
Expected substrate specificity parameters:
RNA substrates:
Native tRNAs with GU(N) anticodons
Synthetic RNA hairpins containing the "UGU" recognition element
Potential recognition of alternative RNA structures
DNA substrates:
Limited activity with native DNA containing "TGT"
Potentially enhanced activity with modified DNA containing dU substitutions
Likely sensitivity to steric constraints in the hairpin structure
Nucleobase substrates:
PreQ1 (7-deazaguanine) as the native substrate
Modified preQ1 analogs (biotin-conjugated, fluorophore-labeled)
Possibly other 7-deazaguanine derivatives
Comparative substrate specificity studies using gel shift assays and LCMS analysis similar to those used for E. coli TGT would be valuable for characterizing H. aurantiacus TGT .
Based on successful applications of E. coli TGT in nucleic acid labeling, H. aurantiacus TGT could potentially be employed in several RNA visualization techniques:
Fluorescent Northern blotting:
RNA FISH (Fluorescence In Situ Hybridization):
Real-time RNA tracking:
Development of live-cell compatible fluorescent labels
Potential for studying RNA dynamics in cellular contexts
These applications would leverage the site-specific labeling capabilities of TGT enzymes while potentially benefiting from any unique properties of the H. aurantiacus enzyme.
Several protein engineering strategies could be employed to enhance or modify H. aurantiacus TGT activity:
Rational design based on homology modeling:
Identification of key catalytic residues through alignment with E. coli TGT
Targeted mutations to enhance substrate binding or catalytic efficiency
Introduction of stabilizing interactions to improve thermal stability
Directed evolution:
Error-prone PCR to generate variant libraries
Activity-based screening methods to identify improved variants
Iterative rounds of selection for desired properties
Domain swapping:
Hybrid enzymes combining domains from different TGT sources
Potential for novel substrate specificities or enhanced activities
Computational design:
In silico prediction of beneficial mutations
Molecular dynamics simulations to understand protein-substrate interactions
Energy minimization approaches to stabilize enzyme structure
These approaches could potentially yield H. aurantiacus TGT variants with enhanced stability, altered substrate specificity, or improved catalytic efficiency for specific applications.
Structural characterization of H. aurantiacus TGT-tRNA interactions would provide valuable insights into enzyme function and could guide engineering efforts. Key approaches include:
X-ray crystallography:
Co-crystallization of H. aurantiacus TGT with substrate analogs
Structure determination of enzyme-substrate complexes
Identification of key interaction residues
Cryo-electron microscopy (cryo-EM):
Visualization of TGT-tRNA complexes
Potential capture of different conformational states
Nuclear Magnetic Resonance (NMR) spectroscopy:
Analysis of protein dynamics during substrate binding
Characterization of conformational changes upon substrate interaction
Hydrogen-deuterium exchange mass spectrometry (HDX-MS):
Mapping of protein regions with altered solvent accessibility upon substrate binding
Identification of flexible regions important for catalysis
Computational approaches:
Molecular docking simulations
Molecular dynamics of enzyme-substrate complexes
Prediction of binding energies for different substrates
These structural studies would complement the biochemical characterization and provide a foundation for rational engineering of H. aurantiacus TGT.
Production of active recombinant H. aurantiacus TGT may face several challenges:
Protein solubility issues:
Formation of inclusion bodies during overexpression
Aggregation during purification
Proper protein folding:
Misfolding in heterologous expression systems
Incorrect disulfide bond formation
Codon usage bias:
Suboptimal codon usage in E. coli expression systems
Potential for translational stalling
Enzyme stability:
Loss of activity during purification and storage
Temperature-dependent denaturation
Reduced induction temperature (20°C) as used for other H. aurantiacus enzymes
Fusion tags to enhance solubility (MBP, SUMO, GST)
Codon optimization for expression host
Addition of stabilizing agents during purification
Co-expression with chaperone proteins
Understanding the catalytic mechanism of H. aurantiacus TGT requires a multifaceted approach:
Site-directed mutagenesis:
Mutation of predicted catalytic residues based on homology to E. coli TGT
Kinetic analysis of mutant enzymes to determine effects on catalysis
Identification of residues involved in substrate binding versus catalysis
Pre-steady state kinetics:
Rapid kinetics measurements using stopped-flow techniques
Identification of rate-limiting steps in the catalytic cycle
Characterization of reaction intermediates
Isotope effect studies:
Use of isotopically labeled substrates to probe bond-breaking events
Determination of primary and secondary isotope effects
Spectroscopic methods:
Fluorescence spectroscopy to monitor conformational changes
Circular dichroism to assess secondary structure alterations upon substrate binding
EPR or NMR for detecting paramagnetic intermediates
These approaches would provide detailed insights into the catalytic mechanism and could reveal unique features of H. aurantiacus TGT compared to other bacterial TGTs.
Several analytical methods can be employed to effectively measure H. aurantiacus TGT activity:
Gel-based assays:
Chromatographic methods:
HPLC analysis of reaction products
Ion-pair reverse-phase chromatography for nucleoside separation
Mass spectrometry:
Fluorescence-based assays:
Fluorescence detection of labeled products
FRET-based approaches for real-time monitoring
Radiometric assays:
Use of radiolabeled substrates for high-sensitivity detection
Scintillation counting for quantitative analysis
The combination of gel shift assays and LC-MS analysis has proven effective for E. coli TGT and would likely be suitable for H. aurantiacus TGT as well, providing both qualitative and quantitative information about enzyme activity.