KEGG: gox:GOX1142
STRING: 290633.GOX1142
Peptidyl-tRNA hydrolase (Pth) functions primarily to recycle tRNAs by cleaving off unfinished peptides from peptidyl-tRNAs that have prematurely dissociated from ribosomes during translation. This recycling is critical because the accumulation of peptidyl-tRNAs depletes the pool of available tRNAs for protein synthesis, inhibiting bacterial growth . The enzyme catalyzes the hydrolysis of the ester bond between the peptide and the 3' end of the tRNA molecule.
To study this function experimentally, researchers can employ:
Northern blotting with specific tRNA probes to measure tRNA depletion
Acid-PAGE separation combined with radioisotope labeling to monitor peptidyl-tRNA accumulation
Cu-tRNAseq, a copper sulfate-based tRNA sequencing method, to quantitatively profile peptidyl-tRNA levels across all tRNA species simultaneously
Pth enzymes across bacterial species share a conserved structural fold while exhibiting species-specific variations:
For G. oxydans Pth structural studies, researchers should consider:
NMR spectroscopy with 15N/13C labeling to characterize protein dynamics
X-ray crystallography to resolve high-resolution structures
Molecular dynamics simulations to analyze substrate binding pocket flexibility
Comparative structural analysis with homologs to identify unique features
Pth is essential in most bacteria because:
In Pth-deficient cells, accumulation of peptidyl-tRNAs depletes the available pool of free tRNAs below the threshold required for protein synthesis
Certain tRNA species are particularly sensitive to Pth deficiency - for example, in M. tuberculosis, peptidyl prolyl-tRNA was found to be especially dependent on Pth for recycling
Pth deficiency can cause translation errors and growth arrest
To experimentally determine the essentiality of Pth in G. oxydans:
Develop conditional knockdown systems using CRISPRi or degradation tags
Monitor growth curves under Pth depletion conditions
Quantify specific tRNA isoacceptor levels using Cu-tRNAseq
Measure translation rates using pulse-chase experiments with radioactive amino acids
For optimal expression of recombinant G. oxydans Pth, researchers should consider:
E. coli-based expression systems:
BL21(DE3) or Rosetta(DE3) strains for high-level expression
pET-based vectors with T7 promoter systems for controlled induction
C-terminal or N-terminal His-tags for purification, ensuring tag placement doesn't interfere with active site residues
Expression optimization protocol:
Transform expression plasmid into appropriate E. coli strain
Grow cultures at 37°C until OD600 reaches 0.6-0.8
Induce with 0.1-0.5 mM IPTG
Lower temperature to 16-25°C post-induction
Continue expression for 12-18 hours
For NMR studies requiring isotope labeling, minimal M9 media supplemented with 15N-ammonium chloride and/or 13C-glucose would be necessary, as demonstrated with M. smegmatis Pth characterization .
A robust purification protocol for G. oxydans Pth should include:
Multi-step purification approach:
Cell lysis: Sonication or high-pressure homogenization in buffer containing 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 5% glycerol, and protease inhibitors
Initial capture: Immobilized metal affinity chromatography (IMAC) using Ni-NTA resin
Intermediate purification: Ion exchange chromatography (IEX) - anion exchange using Q Sepharose
Polishing step: Size exclusion chromatography using Superdex 75 or 200 columns
Quality control: SDS-PAGE and Western blotting to confirm purity
Activity preservation considerations:
Include 1-5 mM DTT or 2-5 mM β-mercaptoethanol to maintain reduced cysteines
Add 5-10% glycerol to prevent aggregation
Store purified enzyme at -80°C in small aliquots to avoid freeze-thaw cycles
Validate activity using standard Pth assay substrates like diacetyl-Lys-tRNA
For high-quality NMR structural studies of G. oxydans Pth, optimize isotope labeling as follows:
Uniform 15N/13C labeling protocol:
Transform expression plasmid into E. coli BL21(DE3)
Grow initial culture in LB medium until OD600 = 0.8
Harvest cells by centrifugation (5000×g, 15 min)
Resuspend in M9 minimal medium containing:
1 g/L 15N-ammonium chloride
2-4 g/L 13C-glucose
Essential minerals (MgSO4, CaCl2, trace metals)
Continue growth for 1-2 hours for adaptation
Induce with 0.5 mM IPTG at 18°C
Express for 16-20 hours
Purify using standard protocol with deuterated buffers for final NMR samples
NMR sample preparation:
Concentrate to 0.5-1.0 mM in 20 mM sodium phosphate buffer, pH 6.5
Add 5-10% D2O for lock signal
Include 0.02% NaN3 as preservative
Several complementary approaches can be employed to accurately measure G. oxydans Pth activity:
Radioactive assay:
Prepare diacetyl-[14C]Lys-tRNA as a substrate
Incubate with purified Pth enzyme
Stop reaction at different time points with trichloroacetic acid
Separate products by thin-layer chromatography
Quantify using PhosphorImager or scintillation counting
Spectrophotometric assay:
Use synthetic p-nitrophenyl ester derivatives of amino acids as substrates
Monitor release of p-nitrophenol at 400 nm
Determine kinetic parameters (KM, kcat) from initial rates
Compare with natural substrate kinetics for validation
Northern blot validation:
Perform enzyme reaction with natural peptidyl-tRNA substrates
Isolate RNA at various time points
Separate using acid-PAGE (6.5% urea gel, 7M urea, 100 mM sodium acetate, pH 5.0)
Transfer to nitrocellulose membrane
Probe with radiolabeled oligonucleotides specific to tRNA of interest
Cu-tRNAseq is a powerful method to profile peptidyl-tRNAs and can be adapted for G. oxydans Pth research:
Cu-tRNAseq protocol adaptation:
Extract total RNA from G. oxydans (wild-type and Pth-depleted)
Divide samples into three treatment groups:
Untreated (control for total tRNA)
NaIO4-treated (oxidizes 3' ends of uncharged tRNAs)
CuSO4-treated (deacylates aminoacyl-tRNAs but not peptidyl-tRNAs)
Perform tRNA-specific library preparation:
Dephosphorylate tRNA 3' ends
Ligate 3' adapter
Reverse transcribe
PCR amplify with indexed primers
Sequence on Illumina platform
Analyze data to calculate:
This method allows comprehensive profiling of all tRNA species affected by Pth deficiency and can reveal substrate preferences of G. oxydans Pth.
For comprehensive kinetic characterization of G. oxydans Pth:
Natural substrates:
Bulk peptidyl-tRNAs isolated from G. oxydans strains
Specific peptidyl-tRNA species synthesized in vitro
Focus on prolyl-tRNA species (shown to be particularly dependent on Pth in mycobacteria)
Synthetic substrates:
Diacetyl-Lys-tRNA (standard Pth substrate)
N-acetylated aminoacyl-tRNAs
Fluorescently labeled peptidyl-tRNA analogs for high-throughput assays
Substrate preparation protocol:
Generate peptidyl-tRNAs by in vitro translation of truncated mRNAs
Purify by size exclusion chromatography
Verify integrity by acid-PAGE
Determine concentration by UV absorbance and/or radioactive counting
Use in enzyme assays at concentrations ranging from 0.1-10× KM
NMR spectroscopy provides valuable insights into protein dynamics and can be applied to G. oxydans Pth following the approach used for M. smegmatis Pth:
NMR experimental design:
Prepare uniformly 15N/13C-labeled Pth samples
Collect standard triple-resonance experiments for backbone assignment:
HNCA, HN(CO)CA, HNCACB, CBCA(CO)NH
Measure 15N-relaxation parameters:
R1 (longitudinal relaxation rate)
R2 (transverse relaxation rate)
{1H}-15N heteronuclear NOE
Calculate order parameters (S2) to quantify flexibility
Perform CPMG relaxation dispersion experiments to detect slow timescale motions
Map dynamics data onto structural model to identify:
Expected outcomes:
Identification of dynamic regions involved in substrate recognition
Correlation between flexibility and catalytic activity
Comparison with dynamics of Pth enzymes from other species
Based on successful crystallization of Pth from other bacterial species, the following strategy is recommended:
Initial screening:
Concentrate purified G. oxydans Pth to 10-15 mg/mL
Screen using commercial sparse matrix kits:
Hampton Crystal Screen 1 & 2
Molecular Dimensions JCSG+
Qiagen PACT Premier
Set up sitting-drop vapor diffusion plates:
1 μL protein + 1 μL reservoir solution
500 μL reservoir volume
Incubate at 16-20°C
Optimization parameters:
pH range: 6.0-8.5
Precipitants: PEG 3350 (10-25%), ammonium sulfate (1.0-2.5 M)
Salt additives: 0.1-0.3 M NaCl, MgCl2, or Li2SO4
Additives: glycerol, MPD, or low concentrations of detergents
Seeding techniques for improved crystal quality
Co-crystallization with substrates:
Include tRNA fragments or peptidyl-tRNA analogs
Try both soaking and co-crystallization approaches
Comparative evolutionary analysis of Pth enzymes reveals:
Evolutionary patterns:
Pth is universally conserved across bacteria, reflecting its essential function
Sequence conservation is highest in the catalytic core and substrate binding regions
Greater sequence divergence occurs in peripheral regions
Acetic acid bacteria like G. oxydans have Pth adaptations related to their acidophilic lifestyle
Methodological approach for evolutionary analysis:
Collect Pth sequences from diverse bacterial phyla
Perform multiple sequence alignment using MUSCLE or MAFFT
Generate phylogenetic trees using Maximum Likelihood methods
Calculate conservation scores for each residue
Map conservation onto structural models
Correlate conservation with:
Targeting Pth for antibiotic development is promising based on findings from M. tuberculosis research:
Rationale for Pth as antimicrobial target:
Pth is essential in most bacteria but absent in eukaryotes
Inhibition leads to accumulation of toxic peptidyl-tRNAs
Pth depletion increases susceptibility to certain antibiotics
Drug development strategy:
Perform high-throughput screening against purified G. oxydans Pth
Design structure-based inhibitors targeting the active site
Validate hits in cellular assays using G. oxydans
Assess selectivity against human enzymes
Optimize pharmacokinetic properties
Potential synergistic applications:
Combine Pth inhibitors with macrolides (rendered more effective against M. tuberculosis when Pth was depleted)
Pair with tRNA synthetase inhibitors for enhanced activity
Use in combination with existing acetic acid bacteria control agents
Pth inhibition has profound effects on tRNA pools that can be studied using:
Cu-tRNAseq analysis protocol:
Treat G. oxydans with sub-lethal doses of Pth inhibitors or use conditional knockdown
Extract total RNA at various time points
Perform Cu-tRNAseq as described previously
Analyze changes in:
Total charged tRNA fractions
Peptidyl-tRNA accumulation profiles
Specific tRNA isoacceptor depletion
Expected outcomes based on M. tuberculosis studies:
Initial accumulation of peptidyl-tRNAs across most isoacceptors
Progressive depletion of free tRNA pools
Potential selective effects on specific tRNAs (e.g., prolyl-tRNA in M. tuberculosis)
Correlation between tRNA depletion patterns and growth inhibition
CRISPR interference (CRISPRi) offers a powerful approach for conditional knockdown:
CRISPRi system development:
Design a two-plasmid system:
First plasmid: dCas9 (catalytically dead Cas9) under inducible promoter
Second plasmid: sgRNA targeting the pth gene promoter region
Transform both plasmids into G. oxydans
Induce dCas9 expression with appropriate inducer
Validate knockdown efficiency by RT-qPCR and Western blot
Monitor growth phenotypes under various conditions
Experimental applications:
Titrate dCas9 expression to achieve varying levels of Pth depletion
Combine with Cu-tRNAseq to correlate Pth levels with tRNA profiles
Test antibiotic susceptibility under Pth depletion conditions
Perform complementation studies with Pth variants
Create a chemical-genetic profile by screening drug libraries
Computational methods can provide insights into substrate specificity:
Structural bioinformatics approach:
Generate homology model of G. oxydans Pth using M. smegmatis Pth (PDB: 2NAF) as template
Perform molecular dynamics simulations to assess binding pocket flexibility
Use docking studies with various peptidyl-tRNA substrates
Calculate binding energies and identify key interaction residues
Predict substrate preferences based on:
Electrostatic complementarity
Hydrogen bonding networks
Hydrophobic interactions
Machine learning strategy:
Compile dataset of known Pth enzyme-substrate pairs with activity data
Extract sequence and structural features
Train machine learning models to predict:
Substrate binding affinity
Catalytic efficiency
Specificity determinants
Validate predictions with experimental assays