Tgt catalyzes the exchange of guanine for queuine in tRNA molecules, a post-transcriptional modification critical for:
Translational accuracy: Q modification reduces misincorporation errors during protein synthesis, particularly at tyrosine codons (TAT/TAC) .
Antibiotic resistance: In Vibrio cholerae, Tgt-deficient strains show impaired growth under sub-minimal inhibitory concentrations (sub-MIC) of tobramycin, suggesting Q modification optimizes stress response pathways .
Oxidative stress regulation: Q modification indirectly modulates the SoxR oxidative stress regulon by influencing RsxA translation efficiency .
Recombinant V. vulnificus Tgt is produced in multiple expression systems, each with distinct applications:
| Product Code | Source | Tag/Purification Method | Conjugate |
|---|---|---|---|
| CSB-YP813472VFI | Yeast | Native purification | N/A |
| CSB-EP813472VFI | E. coli | Standard expression | N/A |
| CSB-EP813472VFI-B | E. coli | AviTag-BirA biotinylation | Biotinylated via AviTag |
| CSB-BP813472VFI | Baculovirus | Insect cell expression | N/A |
| CSB-MP813472VFI | Mammalian cells | Mammalian expression system | N/A |
Data sourced from commercial providers .
Recombinant Tgt is utilized to study:
tRNA modification mechanisms: Role in bacterial adaptation to environmental stressors .
Antibiotic synergy: Q-modified tRNAs enhance bacterial survival under aminoglycoside exposure .
Enzyme kinetics: The E. coli-produced recombinant Tgt exhibits catalytic efficiency () comparable to native enzymes .
Unresolved questions include:
Structural characterization of V. vulnificus Tgt-substrate complexes.
Role of Q modification in V. vulnificus pathogenicity and host adaptation.
Engineering Tgt variants for biotechnological applications (e.g., synthetic biology).
KEGG: vvy:VV0746
Queuine tRNA-ribosyltransferase (TGT) is an enzyme that catalyzes the exchange of guanine (G) at position 34 (the wobble position) of specific tRNAs with queuine or its precursors. Specifically, TGT targets tRNAs with GUN anticodons, including tRNA^Asn_GUU, tRNA^Asp_GUC, tRNA^His_GUG, and tRNA^Tyr_GUA . This post-transcriptional modification is critical for translational fidelity and efficiency.
In bacterial systems like Vibrio species, TGT functions by incorporating the precursor base 7-aminomethyl-deazaguanine (preQ₁) rather than queuine directly. This modification is part of a multi-step pathway that ultimately produces queuosine (Q), a hypermodified 7-deaza-guanosine analog . The presence of this modification has been shown to affect codon recognition, translational efficiency, and bacterial fitness under various stress conditions .
Expression System Selection:
For optimal expression of V. vulnificus TGT, E. coli BL21(DE3) or similar expression strains are recommended. Based on protocols established for related bacterial TGTs, the following methodology is effective:
Clone the V. vulnificus tgt gene into an expression vector with an inducible promoter (e.g., pET system).
Transform into expression hosts and culture in rich media (LB or 2×YT) until mid-log phase.
Induce expression with IPTG (typically 0.5-1.0 mM) at reduced temperature (16-25°C) to enhance proper folding.
Harvest cells after 4-6 hours of induction.
Purification Protocol:
Lyse cells using sonication or pressure-based methods in buffer containing 50 mM Tris-HCl pH 7.5, 300 mM NaCl, and 10 mM imidazole.
If using a His-tagged construct, purify using IMAC (immobilized metal affinity chromatography).
Further purify using size exclusion chromatography to obtain highly pure enzyme.
Verify enzyme activity using appropriate tRNA substrates and analyze modification efficiency.
The approach mirrors protocols established for E. coli TGT, which serves as a model for other bacterial TGT enzymes .
Several methodologies have been developed to detect queuosine modification, each with specific advantages:
1. APB Northern Blotting:
This technique exploits the presence of a cis-diol in the Q modification, which interacts with N-acryloyl-3-aminophenylboronic acid (APB) in polyacrylamide gels. This interaction retards the migration of Q-modified tRNAs compared to unmodified variants, allowing visualization by Northern blotting with specific tRNA probes .
2. LC-MS/MS Analysis:
Chromatography-coupled tandem quadrupole mass spectrometry offers precise quantification of queuosine levels:
Digest tRNAs with nuclease P1 and phosphatase.
Separate nucleosides using HPLC (typically with a C18 column).
Detect Q based on characteristic mass transition patterns (precursor m/z 410, products m/z 163 and 295) .
Normalize Q signal against canonical ribonucleosides for quantification.
3. Direct RNA Sequencing with Nanopore Technology:
This emerging methodology allows direct detection of Q and its precursors in native tRNAs without prior modification or amplification steps .
4. Bisulfite Sequencing:
While primarily used for detecting cytosine methylation, this approach can also reveal Q-dependent methylation patterns, as queuine incorporation has been shown to enhance C38 methylation in the anticodon loop .
While specific sequence data for V. vulnificus tgt is not provided in the search results, comparative analysis based on related Vibrio species reveals important insights:
Vibrio species TGT enzymes share high sequence homology but display subtle differences in substrate specificity and catalytic efficiency compared to other bacterial TGTs. In Vibrio cholerae, TGT plays a critical role in optimal growth, particularly in the presence of aminoglycoside antibiotics .
Key differences observed in Vibrio TGT compared to E. coli counterparts include:
Functional Impact: In V. cholerae, TGT deletion (Δtgt) has a more dramatic effect on aminoglycoside susceptibility compared to E. coli .
Regulatory Mechanisms: Expression of tgt in Vibrio species is influenced by stress conditions and regulatory factors like CRP (cAMP receptor protein) .
Codon Bias Effect: The impact of TGT activity appears to be more pronounced for genes with specific codon usage patterns, particularly those biased toward TAT codons in Vibrio species .
These differences suggest that Vibrio vulnificus TGT likely has unique characteristics that reflect its adaptation to the specific ecological niche and physiological requirements of this pathogen.
Queuosine modification exhibits a codon-specific effect on translation in Vibrio species, particularly affecting genes with biased codon usage patterns. Research with V. cholerae has revealed several key mechanisms:
Codon-Specific Effects:
In V. cholerae, the absence of Q modification (Δtgt) decreases misincorporation at TAT codons, suggesting better decoding of these codons without Q modification .
Conversely, the presence of Q appears to enhance translation of transcripts biased in C-ending codons (TAC) .
Gene Expression Impact:
Experimental data from V. cholerae reveals that Q modification influences the expression of specific genes based on their tyrosine codon usage:
| Gene Type | Tyr Codon Bias | Expression in Δtgt vs WT | Functional Category |
|---|---|---|---|
| rsxA | 8 TAT, 1 TAC | 13× higher protein level | Oxidative stress response |
| DNA repair genes | TAT-biased | Higher in Δtgt | Genome maintenance |
| Iron transport | Various | Downregulated in Δtgt | Nutrient acquisition |
Translational Efficiency:
The Q modification acts as a post-transcriptional regulator of gene expression, creating a class of "modification tunable transcripts" (MoTTs) whose translation efficiency depends on the presence or absence of Q .
The relationship between TGT activity and antibiotic resistance in Vibrio species, particularly to aminoglycosides, reveals an intriguing connection between tRNA modification and stress response:
Aminoglycoside Sensitivity:
In V. cholerae, deletion of the tgt gene (Δtgt) significantly increases sensitivity to tobramycin (TOB) and other aminoglycosides .
This phenotype is specific to Vibrio species, as E. coli Δtgt does not show such dramatic effects with aminoglycosides .
Mechanistic Basis:
The increased sensitivity appears to be mediated through translational reprogramming of specific proteins:
RsxA Overexpression: In the absence of Q modification (Δtgt), the oxidative stress regulator RsxA is overexpressed by approximately 13-fold despite unchanged transcript levels .
Experimental evidence demonstrates that induced overexpression of RsxA in wild-type V. cholerae mimics the Δtgt phenotype, confirming its role in aminoglycoside sensitivity .
Oxidative Stress Connection:
Aminoglycosides are known to trigger oxidative stress in V. cholerae .
RsxA controls a regulon involved in oxidative stress response, including SoxR-regulated genes .
The reduced fitness of Δtgt strains in the presence of aminoglycosides may result from impaired oxidative stress response due to dysregulated RsxA levels .
This relationship suggests that targeting TGT activity could potentially serve as an adjuvant strategy to enhance aminoglycoside efficacy against Vibrio pathogens.
Homology Modeling Methodology:
For V. vulnificus TGT structural prediction, researchers can employ both template-based and ab initio modeling approaches:
Template Selection: High-resolution crystal structures of bacterial TGTs serve as excellent templates, particularly the structure from Thermotoga maritima (PDB 2ASH) .
Subunit Modeling: For organisms with heterodimeric TGT complexes, both the catalytic subunit (QTRT1) and non-catalytic subunit (QTRTD1) should be modeled separately .
Complex Assembly: The complete functional TGT complex can be assembled by protein-protein docking using tools like HADDOCK or ClusPro.
Inhibitor Design Strategy:
Based on structural insights, rational design of V. vulnificus TGT inhibitors can follow these approaches:
Active Site Targeting: Design compounds that compete with preQ₁ for binding at the active site.
Allosteric Inhibition: Identify potential allosteric sites that could disrupt catalytic activity.
Protein-Protein Interface Disruption: For heterodimeric TGTs, target the interface between subunits.
Virtual Screening Pipeline:
Structure-based pharmacophore modeling based on key active site residues.
Virtual screening of compound libraries against the model.
Molecular dynamics simulations to evaluate binding stability.
In vitro validation of top candidates using enzymatic assays.
This approach has proven successful for developing inhibitors against bacterial enzymes with similar structural characteristics .
Research indicates a complex relationship between queuosine modification and stress response in bacteria:
Oxidative Stress Response:
In V. cholerae, Q modification influences the expression of oxidative stress response genes, particularly through regulation of the RsxA-SoxR pathway .
The absence of Q leads to overexpression of RsxA, which negatively impacts the SoxR regulon involved in oxidative stress management .
This connection between Q and oxidative stress has been observed in both prokaryotic and eukaryotic organisms .
Dynamic Regulation of Q Levels:
Q modification levels are not static but dynamically regulated in response to environmental conditions.
In V. cholerae, CRP (cAMP receptor protein) regulates tgt expression, with a Δcrp strain showing a significant 1.6-fold increase in Q levels .
Exposure to sub-inhibitory concentrations of antibiotics can alter Q modification levels, though the changes may be subtle .
DNA Repair Connection:
Genomic analysis reveals that DNA repair genes in V. cholerae tend to be biased toward TAT codons, suggesting their expression may be particularly sensitive to Q modification status . This creates a potential regulatory mechanism linking translational control to genome maintenance systems during stress conditions.
In Vitro Cellular Models:
Adhesion and Invasion Assays:
Compare wild-type and Δtgt V. vulnificus for adherence and invasion of intestinal epithelial cell lines.
Quantify bacterial attachment and internalization using gentamicin protection assays.
Cytotoxicity Measurements:
Assess the production of cytotoxins by measuring lactate dehydrogenase (LDH) release from host cells.
Compare cytotoxicity kinetics between wild-type and Δtgt strains.
Animal Infection Models:
Mouse Infection Model:
Utilize established mouse models of V. vulnificus infection (oral, intraperitoneal, or wound infection).
Compare survival rates, bacterial burdens, and inflammatory markers between wild-type and Δtgt infections.
Zebrafish Model:
Transparent zebrafish larvae allow real-time visualization of infection progression.
Compare dissemination patterns and neutrophil recruitment in response to wild-type versus Δtgt strains.
Molecular Approaches:
RNA-Seq Analysis:
Perform comparative transcriptomics of wild-type and Δtgt strains under infection-relevant conditions.
Identify virulence-associated genes whose expression depends on Q modification.
Proteomics Analysis:
Use quantitative proteomics to identify proteins differentially expressed in Δtgt mutants.
Focus on virulence factors, especially those with biased codon usage toward TAT or TAC.
Reporter Constructs:
Complementation Strategies:
Genetic complementation using plasmid-expressed tgt can confirm phenotypes are specifically due to the absence of Q modification rather than secondary mutations.
Essential Controls for Δtgt Phenotype Studies:
Genetic Complementation:
Include a complemented strain where the tgt gene is reintroduced on a plasmid under native or inducible promoter control.
This confirms that observed phenotypes are specifically due to tgt deletion rather than polar effects or secondary mutations.
Related Modification Pathway Controls:
Trans-species Complementation:
Test whether tgt genes from related species (E. coli, V. cholerae) can complement V. vulnificus Δtgt.
This reveals species-specific functions versus conserved roles.
Temporal Controls:
Monitor phenotypes across growth phases, as TGT activity and Q levels may vary temporally.
Compare exponential versus stationary phase cultures.
Environmental Stress Controls:
Include conditions that mimic relevant host environments (low pH, oxidative stress, nutrient limitation).
Test multiple antibiotic classes to determine specificity of any resistance phenotypes.
Comprehensive Quantification Approach:
For accurate quantification of queuosine and its precursors in V. vulnificus, researchers should employ a multi-method strategy:
LC-MS/MS Protocol:
Extract total tRNA using acidic phenol extraction to preserve modifications.
Enzymatically digest tRNA to individual nucleosides using nuclease P1 and alkaline phosphatase.
Analyze using liquid chromatography-tandem mass spectrometry with the following parameters:
Column: Hypersil aQ GOLD (2.1 mm × 100 mm; 1.9-μm particle size)
Mobile phase: 0.1% formic acid (A) and acetonitrile with 0.1% formic acid (B)
Gradient elution: 0-12 min (0% B); 12-15.3 min (0-1% B); 15.3-18.7 min (1-6% B); 18.7-20 min (6% B); 20-24 min (6-100% B); 24-27.3 min (100% B); 27.3-36 min (100-0% B); 36-41 min (0% B)
Flow rate: 0.3 mL/min at 25°C
Detection parameters: Triple quadrupole MS with Q transitions (precursor m/z 410, products m/z 163 and 295)
Normalize Q signal against canonical ribonucleosides (U, C, A, G) for quantification.
Nanopore Sequencing Approach:
Direct RNA sequencing using nanopore technology provides an alternative method that can detect Q modification in intact tRNAs .
APB Gel Electrophoresis:
This technique provides a relative measure of Q modification levels across different growth conditions or mutant strains .
For comprehensive analysis, researchers should compare results across multiple methodologies and include appropriate standards and controls.
Systematic Approach to Resolving Discrepancies:
When faced with conflicting results between in vitro enzymatic assays and in vivo phenotypic observations of TGT function, consider these potential explanations and resolution strategies:
Potential Sources of Discrepancy:
Substrate Availability:
In vitro assays typically use excess substrate concentrations that may not reflect physiological conditions.
Solution: Perform in vitro assays with varying substrate concentrations that mirror cellular levels.
Regulation of TGT Activity:
TGT activity in vivo may be regulated by factors absent in purified systems.
Evidence indicates that Q modification levels are dynamic and influenced by stress and regulatory proteins like CRP .
Solution: Include potential regulatory factors in in vitro assays or examine TGT activity in cellular extracts.
Indirect Effects vs. Direct Function:
Phenotypes attributed to TGT may result from downstream effects rather than direct enzymatic activity.
For example, in V. cholerae, aminoglycoside sensitivity in Δtgt strains appears to be mediated through RsxA overexpression .
Solution: Design experiments that can distinguish direct from indirect effects, such as suppressor mutations or targeted gene expression studies.
Strain-Specific Factors:
Genetic background may influence TGT phenotypes.
Solution: Test multiple clinical and laboratory strains of V. vulnificus.
Resolution Strategies:
| Conflict Type | Diagnostic Approach | Resolution Strategy |
|---|---|---|
| Activity in vitro but no phenotype in vivo | Test for redundant pathways | Create double/triple mutants to eliminate redundancy |
| Phenotype in vivo but normal activity in vitro | Examine protein interactions | Study TGT in its cellular context using approaches like proximity labeling |
| Strain-dependent effects | Comparative genomics | Identify genetic modifiers that explain strain differences |
Technical Challenges and Solutions:
Protein Solubility Issues:
Challenge: Recombinant TGT often forms inclusion bodies when overexpressed.
Solutions:
Reduce induction temperature to 16-18°C
Use solubility tags (MBP, SUMO, or TrxA)
Express as a fusion with its natural binding partner (QTRTD1 for eukaryotic-like TGTs)
Optimize buffer conditions with stabilizing agents (glycerol, arginine)
Enzymatic Activity Preservation:
Challenge: TGT activity can be lost during purification or storage.
Solutions:
Include reducing agents (DTT or β-mercaptoethanol) in all buffers
Add glycerol (10-20%) to storage buffer
Maintain protein at high concentration (>1 mg/mL)
Store as flash-frozen aliquots at -80°C; avoid freeze-thaw cycles
Substrate Preparation:
Challenge: Obtaining properly folded tRNA substrates.
Solutions:
In vitro transcription followed by proper refolding protocols
Include Mg²⁺ in refolding buffer for correct tRNA structure
Verify tRNA folding using thermal denaturation profiles
Assay Sensitivity:
Enzyme Kinetics Analysis:
Challenge: Accounting for multiple steps in the modification process.
Solutions:
Use simplified model substrates for initial rate determinations
Employ global fitting approaches for complex kinetic models
Include proper controls for product inhibition effects
By addressing these technical challenges systematically, researchers can enhance the reliability and reproducibility of experiments with recombinant V. vulnificus TGT.
Analytical Framework for Interpreting Q Modification Changes:
When evaluating changes in queuosine modification levels under varying growth conditions, researchers should consider the following analytical approaches:
Normalization Considerations:
For LC-MS/MS data, normalize Q signal against total canonical nucleosides (U, C, A, G) rather than using absolute values .
For gel-based methods, compare the ratio of modified to unmodified tRNA species rather than band intensity alone .
Include multiple biological replicates (minimum 3, preferably 12 as in published protocols) .
Statistical Analysis:
Apply appropriate statistical tests based on data distribution (parametric vs. non-parametric).
Consider the magnitude of change in biological context - even small changes (1.6-fold) can be biologically significant, as seen with CRP regulation of Q levels .
Interpretation Framework:
| Observed Change | Potential Biological Meaning | Validation Approach |
|---|---|---|
| Increased Q levels under stress | Adaptive response enhancing specific translation | Correlate with expression of Q-sensitive genes |
| Decreased Q in nutrient limitation | Conservation of resources or regulatory response | Supplementation experiments to restore levels |
| Growth phase-dependent changes | Regulatory role in adaptation to environment | Time-course analysis with multiple markers |
| Strain-specific differences | Adaptation to ecological niche or pathogenicity | Comparative analysis across related strains |
Control Experiments:
Include measurements of TGT expression levels alongside Q modification measurements.
Assess availability of Q precursors, particularly for auxotrophic organisms.
Examine modification of all Q-target tRNAs, as effects may be tRNA-specific.
This structured approach enables meaningful interpretation of changes in Q modification levels and connects them to physiological responses in V. vulnificus.
Cutting-Edge Technologies for tRNA Modification Research:
Nanopore Direct RNA Sequencing:
This technology enables direct detection of tRNA modifications without prior conversion or amplification, providing a comprehensive view of the tRNA epitranscriptome . For V. vulnificus, this approach could:
Allow simultaneous detection of Q and other modifications
Reveal modification stoichiometry across different tRNA species
Enable time-course studies of modification dynamics during infection
CRISPR-Based Modification Systems:
Engineered CRISPR systems could enable:
Precise manipulation of tgt and related genes
Creation of conditional knockouts for essential modification genes
Development of biosensors for Q modification levels in vivo
Single-Cell Analysis of tRNA Modifications:
Emerging methods could enable:
Detection of cell-to-cell variation in Q modification levels
Correlation of modification states with cellular phenotypes
Identification of bacterial subpopulations with distinct modification profiles
Chemoenzymatic Labeling Approaches:
These methods could allow:
Selective tagging of Q-modified tRNAs for pulldown and analysis
Fluorescent visualization of Q distribution in bacterial cells
Enrichment of Q-modified tRNAs for subsequent analysis
Cryo-EM Studies of Ribosome-tRNA Interactions:
High-resolution structural studies could:
Reveal how Q-modified tRNAs interact with the ribosome
Provide insights into the structural basis for Q-dependent translational reprogramming
Guide the development of inhibitors targeting Q-dependent translation
These technologies would significantly advance our understanding of how tRNA modifications influence Vibrio pathogenesis and stress responses.
TGT-Based Antimicrobial Approaches:
The relationship between queuosine modification and bacterial fitness offers several promising avenues for antimicrobial development:
TGT Inhibitors as Antibiotic Adjuvants:
Targeting Q-Dependent Stress Responses:
Species-Specific Targeting:
Combination Therapy Approaches:
Virulence Attenuation:
If Q modification regulates virulence factor expression in V. vulnificus as suggested for other proteins in V. cholerae, TGT inhibition could attenuate virulence without direct bactericidal effects.
This "anti-virulence" approach might reduce selection pressure for resistance development.
These strategies represent promising approaches to leverage our understanding of tRNA modification biology for addressing infections caused by Vibrio vulnificus and related pathogens.
Comparative Structural Biology Applications:
Structural comparisons between TGT enzymes from different bacterial species, including V. vulnificus, offer numerous valuable applications:
Structure-Based Inhibitor Design:
Identification of conserved catalytic residues across bacterial TGTs provides targets for broad-spectrum inhibitors.
Species-specific structural features enable selective targeting of particular pathogens.
Modeling approaches using templates like Thermotoga maritima TGT (PDB 2ASH) can guide rational drug design .
Evolution of Substrate Specificity:
Protein Engineering Applications:
Understanding structural determinants of substrate specificity enables engineering TGTs with novel activities.
Potential applications include:
Creation of TGTs that incorporate synthetic nucleobase analogs
Development of TGT variants with altered tRNA specificity
Design of chimeric enzymes with combined functions
Mechanistic Insights:
Structural comparisons can reveal conserved and divergent aspects of the catalytic mechanism.
This information aids in understanding how TGT achieves the base-exchange reaction and how this process might be inhibited.
Co-Evolution with tRNA Substrates:
Comparing TGT structures alongside their cognate tRNA substrates across species can reveal co-evolutionary patterns.
These insights help explain how modification systems adapt to changes in the translational apparatus during bacterial evolution.
Structural biology approaches thus provide a foundation for both fundamental understanding and applied research into bacterial tRNA modification systems.