This protein exhibits a high intrinsic GTPase hydrolysis rate. It participates in the addition of a carboxymethylaminomethyl (cmnm) group to the wobble position (U34) of specific tRNAs, resulting in the formation of tRNA-cmnm5s2U34.
KEGG: pst:PSPTO_5611
STRING: 223283.PSPTO_5611
MnmE employs a distinct GTPase mechanism that differs from classical small GTP-binding proteins. Unlike many GTPases that require auxiliary GTPase-activating proteins (GAPs) or guanine nucleotide exchange factors (GEFs), MnmE's catalytic activity is driven by potassium-dependent homodimerization of its G domains . This dimerization creates a unique catalytic site where potassium ions serve as a critical cofactor for GTP hydrolysis.
The GTPase cycle involves several sequential steps:
GTP binding to each monomer of MnmE
Potassium-dependent dimerization of the G domains
GTP hydrolysis at the dimer interface
Release of phosphate and subsequent conformational changes
GDP release and cycle reset
This cycle triggers large-scale conformational changes throughout the protein structure that are essential for its tRNA modification function . These structural rearrangements likely position the tRNA substrate and catalytic residues optimally for the modification reaction to proceed.
The MnmE-MnmG complex represents a sophisticated molecular machine responsible for the carboxymethylaminomethyl modification of wobble uridine in tRNA (cmnm5U) . Formation of this complex involves:
Initial binding of MnmE and MnmG independently to tRNA
GTP-dependent dimerization of MnmE's G domains
Conformational changes that promote stable association with MnmG
Formation of a catalytically active heterotetrameric complex (MnmE2-MnmG2)
The resulting complex creates a reaction chamber where the tRNA wobble uridine is positioned for modification. During the reaction cycle, GTP hydrolysis by MnmE drives conformational changes throughout the complex that are transmitted to MnmG, coordinating the chemistry of the modification process. This includes activation of the C5 position of uridine, transfer of the carboxymethylaminomethyl group, and release of the modified tRNA .
MnmE represents a highly conserved GTPase family found across bacterial species and even into eukaryotes (where orthologs are targeted to mitochondria) . In Pseudomonas syringae pv. tomato, MnmE maintains the core structural and functional characteristics seen in other bacterial species, including:
Multi-domain architecture with a conserved G domain for GTP binding and hydrolysis
Potassium-dependent activation mechanism
Functional association with MnmG protein
Role in tRNA modification at the wobble position
Comparative analysis reveals that while the G domain shows high sequence conservation across species (>70% identity in most bacteria), the peripheral domains may exhibit greater variability, reflecting adaptation to specific cellular environments or subtle differences in substrate recognition. The conservation of MnmE across diverse bacterial pathogens like Pseudomonas syringae underscores its fundamental importance in bacterial physiology and potentially in pathogenicity .
Successful expression and purification of recombinant MnmE from Pseudomonas syringae pv. tomato requires careful optimization at several steps:
Expression System Selection:
E. coli BL21(DE3) typically provides high expression levels
Use of pET-based vectors with T7 promoter offers tight regulation
Consider codon optimization if rare codons are present in P. syringae sequence
Expression Conditions:
Induction at OD600 = 0.6-0.8 with 0.5 mM IPTG
Lower temperature induction (16-18°C overnight) often improves folding
Supplementation with 5-10 mM KCl can enhance stability due to potassium-dependent activity
Purification Strategy:
Initial capture via affinity chromatography (His-tag or GST-tag)
Ion exchange chromatography (typically anion exchange at pH 8.0)
Size exclusion chromatography for final polishing and buffer exchange
Stabilization Considerations:
Include 5 mM MgCl2 in all buffers to stabilize nucleotide binding
Maintain 50-100 mM KCl throughout purification
Addition of 5-10% glycerol prevents aggregation
Consider flash-freezing aliquots in liquid nitrogen for long-term storage
This approach typically yields protein with >95% purity suitable for enzymatic, structural, and interaction studies .
SAXS represents a powerful technique for investigating the solution structure and conformational changes of the MnmE-MnmG complex. The methodological approach includes:
Sample Preparation:
Purify individual MnmE and MnmG proteins to >95% homogeneity
Form complex by mixing equimolar ratios with gentle overnight incubation at 4°C
Perform final purification via size exclusion chromatography
Concentrate to 2-10 mg/ml in low-scattering buffer (typically HEPES or Tris)
Data Collection Parameters:
Multiple concentrations (2, 5, and 10 mg/ml) to account for concentration-dependent effects
Temperature control at 10°C to minimize radiation damage
Include GTP, GDP, and nucleotide-free states to capture conformational cycle
Collect matched buffer blanks before and after each sample
Analysis Workflow:
Buffer subtraction and data processing using standard SAXS software (ATSAS)
Guinier analysis to determine radius of gyration (Rg) and assess sample quality
Pair-distance distribution function calculation to establish maximum dimension (Dmax)
Ab initio modeling to generate low-resolution envelopes
Rigid body modeling using available crystal structures of individual components
Molecular dynamics flexible fitting to refine models against SAXS data
Conformational Analysis:
Compare Rg values in different nucleotide states to detect GTP-dependent conformational changes
Assess complex formation through changes in Dmax
Develop structural models of the complex in different functional states
This approach provides valuable insights into the structural dynamics of the complex that complement crystallographic and cryo-EM studies.
Multiple complementary assays can be employed to measure the GTPase activity of recombinant MnmE from Pseudomonas syringae pv. tomato:
Colorimetric Phosphate Detection:
Malachite green assay - Measures released inorganic phosphate through color change
Sensitivity: 0.1-10 nmol phosphate
Linear range: 0.1-10 μM phosphate
Add 100 μl malachite green reagent to 100 μl reaction, measure absorbance at 630 nm
Coupled Enzyme Assays:
NADH-coupled assay
Principle: GTP hydrolysis → GDP → regeneration of GTP via pyruvate kinase and lactate dehydrogenase with oxidation of NADH
Monitor decrease in absorbance at 340 nm
Real-time continuous measurement possible
Direct Nucleotide Analysis:
HPLC separation of GTP and GDP
Use C18 reverse phase column with ion-pairing reagent
UV detection at 254 nm
Quantify GDP/GTP ratio
Radioactive Assays:
[γ-32P]GTP hydrolysis
Highly sensitive for low activity measurements
Separate [32P]Pi from [γ-32P]GTP by thin-layer chromatography
Quantify by phosphorimaging
Optimization Parameters:
Test multiple K+ concentrations (0-200 mM) to determine optimal activation
Evaluate effects of Mg2+ (typically 5 mM optimal)
Assess temperature dependence (usually 25-37°C optimal)
Determine pH optimum (typically pH 7.5-8.0)
| Assay Type | Sensitivity | Advantages | Limitations |
|---|---|---|---|
| Malachite Green | 0.1 nmol Pi | Simple, cost-effective | End-point only, potential interference |
| NADH-coupled | 0.01 nmol GDP | Real-time, continuous | Complex system, potential coupling enzyme limitations |
| HPLC | 0.5 nmol nucleotide | Direct measurement | Requires specialized equipment, not real-time |
| Radioactive | 0.001 nmol Pi | Highest sensitivity | Safety concerns, requires special permits |
For most research applications, the malachite green assay provides sufficient sensitivity while being technically accessible and cost-effective .
Recombination plays a crucial role in the evolution of genes in Pseudomonas syringae, including those involved in basic cellular processes like tRNA modification. Analysis of Pseudomonas syringae population structures reveals:
Recombination contributes more significantly than mutation to genetic variation between isolates, contrary to previous assumptions about clonality in bacterial plant pathogens .
For genes like MnmE, recombination can lead to:
Introduction of novel functional variants from related species
Repair of deleterious mutations
Optimization of gene function for specific host environments
Multiple recombination breakpoints are detectable within sequenced gene fragments across the P. syringae genome, suggesting active genetic exchange .
Population genetic tests applied to housekeeping genes (which could include MnmE) indicate a higher recombination rate than previously appreciated in Pseudomonas species .
Methodological approaches to detect recombination in MnmE include:
Sequence-based methods like RDP4 or GARD for breakpoint detection
Population genetic tests such as the phi test or Tajima's D
Phylogenetic incongruence analyses comparing MnmE trees with other housekeeping genes
Understanding recombination patterns in MnmE can provide insights into how fundamental cellular processes are maintained or adapted during the evolution of plant pathogenicity in different P. syringae strains .
The tRNA modification activities of MnmE may contribute significantly to host adaptation in Pseudomonas syringae pv. tomato through several mechanisms:
Translational Efficiency Regulation
MnmE-mediated tRNA modifications at the wobble position enhance translational efficiency and accuracy, particularly for specific codons
Different host environments may exert distinct translational demands, requiring adaptation of the tRNA modification profile
Host adaptation may involve optimization of translation for host-specific virulence factors
Stress Response Modulation
tRNA modifications can regulate bacterial stress responses through selective translation of stress-response proteins
Plant defense responses create distinct stress environments (oxidative, pH, antimicrobial compounds)
Modulation of MnmE activity could allow rapid adaptation to host-induced stress
Virulence Factor Expression Control
Type III secretion system (T3S) effectors, critical for pathogenicity, may have codon usage patterns that depend on MnmE-modified tRNAs
The unusual host range of PtoDC3000 (including both Solanaceae and Brassicaceae plants) may be partially enabled by optimized translation of specific effector proteins
Host Range Determination
Methodological approaches to investigate this connection include:
Comparative tRNA modification profiling across strains with different host specificities
Mutational analysis of MnmE and assessment of host range impacts
Ribosome profiling to identify differentially translated genes in MnmE mutants
Correlation of codon usage patterns in virulence factors with tRNA modification activities
These investigations could reveal how fundamental cellular processes like tRNA modification contribute to pathogenicity and host adaptation in this economically important plant pathogen .
The potassium-dependent activation of MnmE GTPase activity presents an intriguing connection between bacterial physiology and the plant infection environment:
Potassium Dynamics During Infection:
Plant Defense Responses
Potassium efflux is a known early response to pathogen attack in plants
K+ concentrations in the apoplast fluctuate during infection (typically 10-100 mM range)
Guard cell K+ fluxes control stomatal closure, a key defense against bacterial entry
Bacterial Response Mechanisms
Experimental Approaches to Study This Relationship:
In Planta K+ Measurement During Infection
Use K+-selective microelectrodes to measure apoplastic K+ concentrations during infection
Apply non-invasive ion flux measurement techniques (MIFE) to detect dynamic changes
Correlate with bacterial population growth and disease progression
MnmE Activity Profiling
Develop reporters for MnmE activity based on:
Expression of tRNA modification-dependent genes
Direct measurement of modified tRNA nucleosides by LC-MS/MS
Compare activity in different plant tissues and infection stages
Genetic Manipulation Approaches
Engineer MnmE variants with altered K+ sensitivity
Create plant lines with manipulated K+ homeostasis
Assess impacts on bacterial virulence and tRNA modification patterns
| K+ Concentration | Expected MnmE Activity | Potential Impact on Bacterial Physiology |
|---|---|---|
| <10 mM | Minimal | Reduced translation efficiency, stress response |
| 10-30 mM | Moderate | Sub-optimal growth, selective translation |
| 30-100 mM | Optimal | Maximal virulence gene expression |
| >100 mM | Saturated | Potential osmotic stress effects |
This research direction could reveal novel connections between environmental sensing and the regulation of basic cellular processes during plant-pathogen interactions .
The GTPase cycle of MnmE involves dramatic conformational changes that are essential for its tRNA modification function:
Conformational States During GTPase Cycle:
Nucleotide-Free State
G domains remain separated and flexible
N-terminal domains maintain distance from each other
Relatively open conformation with accessible nucleotide binding site
GTP-Bound State (Before Hydrolysis)
Initial GTP binding causes local conformational changes
K+-dependent dimerization of G domains brings monomers into close proximity
Formation of complete active site at the dimer interface
Transition State (During GTP Hydrolysis)
Maximum compaction of the structure
Close association of G domains
Catalytic residues optimally positioned for GTP hydrolysis
GDP-Bound State (After Hydrolysis)
Partial relaxation of the compact structure
Maintained dimerization with altered interface geometry
Changed positions of C-terminal domains
Functional Implications for tRNA Modification:
The conformational cycle directly coordinates the tRNA modification process:
In the open conformation, the MnmE-MnmG complex can recruit the tRNA substrate
GTP binding and K+-dependent dimerization create a catalytically active complex
The conformational changes position the tRNA wobble uridine optimally in the active site
The transition state conformation activates the modification chemistry
GTP hydrolysis may provide energy for the chemistry or conformational work
Return to open state after GDP release allows product release and cycle reset
Methodological Approaches to Study Conformational Changes:
Small-angle X-ray scattering (SAXS) to capture solution conformations
Fluorescence resonance energy transfer (FRET) between labeled domains
Hydrogen-deuterium exchange mass spectrometry to map flexible regions
Electron paramagnetic resonance (EPR) with site-specific spin labels
Single-molecule FRET to observe conformational dynamics in real-time
These sophisticated biophysical approaches reveal how MnmE uses the energy of GTP hydrolysis to drive the complex tRNA modification reaction through precisely coordinated structural rearrangements .
Cryo-electron microscopy (cryo-EM) represents a powerful approach for visualizing the complete MnmE-MnmG-tRNA complex in different functional states, but requires careful optimization:
Sample Preparation Optimization:
Complex Formation
Purify individual components (MnmE, MnmG, tRNA) to high homogeneity (>95%)
Form stable complex by mixing in optimal ratios (typically 2:2:1 MnmE:MnmG:tRNA)
Include appropriate nucleotides (GTP, non-hydrolyzable GTP analogs, or GDP)
Stabilize with chemical crosslinking if necessary (test GraFix method)
Grid Preparation
Test multiple grid types (Quantifoil R1.2/1.3, UltrAuFoil)
Optimize blotting parameters (time, force, humidity)
Consider glow discharge or plasma cleaning settings
Evaluate additives to optimize particle distribution (detergents like OG at 0.01-0.05%)
Data Collection Strategies:
Collection Parameters
Use energy filters to improve signal-to-noise ratio
Collect at 300kV with direct electron detector
Frame rate: 40 frames per exposure, total dose ~40-60 e-/Ų
Defocus range: -0.8 to -2.5 μm
Conformational States
Collect datasets in different nucleotide states:
Apo (nucleotide-free)
GTP-bound (use GTPγS or GppNHp)
GDP-bound (post-hydrolysis state)
Consider time-resolved approaches if conformational changes are rapid
Data Processing Workflow:
Initial Processing
Motion correction with dose weighting
CTF estimation with CTFFIND4 or Gctf
Particle picking using reference-free approaches initially
Classification Strategy
Extensive 2D classification to identify heterogeneity
Ab initio model generation without symmetry constraints
3D classification to separate conformational states
Consider multi-body refinement for domains with independent movement
Final Refinement
High-resolution refinement with CTF refinement and particle polishing
Local resolution estimation
Map sharpening and filtering
Challenges and Solutions:
| Challenge | Solution Approach |
|---|---|
| Conformational heterogeneity | 3D variability analysis, multi-body refinement |
| Preferred orientation | Graphene oxide or thin carbon support film |
| Low contrast of RNA | Phase plate imaging, higher defocus |
| Complex dissociation | GraFix method or mild crosslinking |
| Size limitations (336 kDa complex) | Consider Falcon 4 detector with super-resolution |
With this optimized approach, resolutions of 3-4 Å should be achievable for the complete functional complex, providing unprecedented insights into the structural basis of tRNA modification .
Understanding how the MnmE-MnmG complex specifically recognizes and modifies tRNA substrates involves delineating multiple molecular interaction determinants:
tRNA Structural Elements Critical for Recognition:
Protein Domains Involved in tRNA Binding:
MnmE Contributions
N-terminal domain likely provides tRNA body contacts
G domain dimerization creates part of the tRNA binding pocket
C-terminal domain may interact with anticodon stem
MnmG Contributions
FAD-binding domain provides structural framework
NADH-binding domain may interact with anticodon loop
C-terminal domain forms part of the active site around U34
Methodological Approaches to Define Recognition Determinants:
Mutational Analysis
Systematic mutagenesis of potential RNA-binding residues
tRNA variant testing to identify critical recognition elements
Charge-reversal mutations to test electrostatic interactions
Structural Studies
High-resolution cryo-EM of the complete complex
X-ray crystallography of complex with tRNA anticodon stem-loop
NMR studies of specific domain-RNA interactions
Biophysical Interaction Analysis
Microscale thermophoresis to measure binding affinities
Hydrogen-deuterium exchange to map interaction surfaces
RNA footprinting to identify protected nucleotides
Computational Approaches
Molecular dynamics simulations of complex formation
Electrostatic potential mapping to identify interaction hotspots
RNA-protein docking with experimental constraints
Understanding these recognition determinants will provide crucial insights into the molecular basis of tRNA modification specificity and may reveal potential targets for antimicrobial development against Pseudomonas syringae .
The essential role of MnmE in tRNA modification presents several potential avenues for developing innovative plant disease control strategies against Pseudomonas syringae:
Potential Intervention Approaches:
Small Molecule Inhibitor Development
Target the unique potassium-dependent GTPase mechanism
Design compounds that interfere with MnmE-MnmG complex formation
Exploit structural differences between bacterial and plant homologs
Focus on allosteric inhibitors that disrupt conformational cycling
Genetic Resistance Strategies
Engineer plant decoy proteins that mimic tRNA structures
Develop transgenic plants expressing inhibitory RNA aptamers
Create plant lines with altered potassium homeostasis in the apoplast
Biological Control Applications
Develop competing bacterial strains with modified MnmE that interfere with pathogen colonization
Design phage-based delivery of inhibitory proteins targeting MnmE function
Developmental Pathway for MnmE-Targeting Interventions:
Target Validation
Confirm essentiality of MnmE for virulence in greenhouse and field conditions
Demonstrate lack of off-target effects on beneficial microbiota
Establish relationship between tRNA modification and pathogenicity
Screening Approaches
Develop high-throughput GTPase activity assays
Design phenotypic screens in planta using reporter systems
Implement fragment-based drug discovery against the MnmE active site
Efficacy Testing
Evaluate impact on bacterial growth, colonization, and symptoms
Test in multiple plant species under varied environmental conditions
Compare with conventional bactericides for effectiveness and resistance development
Potential Advantages of MnmE-Based Strategies:
| Advantage | Rationale |
|---|---|
| Specificity | Target bacterial processes with limited plant homology |
| Reduced resistance | Essential gene targets slow resistance development |
| Multi-host effectiveness | Conserved across Pseudomonas strains and pathovars |
| Environmental safety | Targeted approach reduces ecological impacts |
While technical challenges remain in delivery and stability of potential interventions, the fundamental role of MnmE in bacterial physiology makes it a promising target for next-generation disease control approaches that could reduce reliance on conventional bactericides in agriculture .
Recombinant MnmE from Pseudomonas syringae pv. tomato offers several unique properties that could be exploited for biotechnological applications:
Potential Biotechnological Applications:
Synthetic Biology Tools
Use as an inducible molecular switch responding to potassium levels
Develop as a component of synthetic gene circuits using GTP hydrolysis as a signal
Create MnmE-based biosensors for potassium in agricultural or environmental monitoring
RNA Modification Technology
Engineer MnmE-MnmG systems to install specific modifications on designer tRNAs
Develop tools for studying translation regulation through controlled tRNA modification
Create systems for site-specific RNA labeling using modified nucleotides
Structural Biology Applications
Utilize as a model system for studying GTPase mechanisms
Develop as a crystallization chaperone for difficult-to-crystallize proteins
Create potassium-responsive biomaterials with MnmE as the sensing component
Technical Implementation Approaches:
Protein Engineering Strategies
Create chimeric proteins with altered specificity or activity
Develop split-MnmE systems for protein complementation assays
Engineer variants with enhanced stability or altered nucleotide specificity
Expression and Production Systems
Optimize high-yield expression in heterologous hosts
Develop purification strategies for large-scale production
Create immobilization techniques for enzyme reuse
Formulation and Delivery
Develop stabilization methods for long-term storage
Create encapsulation systems for controlled release
Design immobilization matrices for continuous-flow applications
Proof-of-Concept Projects:
MnmE-Based Potassium Biosensor
| Component | Function |
|---|---|
| MnmE G-domain | Potassium-sensing element |
| FRET pair | Signal output upon K+-dependent dimerization |
| Immobilization scaffold | Stabilization and device integration |
| Microfluidic housing | Sample handling and readout |
Synthetic tRNA Modification System
| Component | Function |
|---|---|
| Engineered MnmE-MnmG | Catalytic core with altered specificity |
| Designer tRNA templates | Substrates with specific features |
| Modified nucleotide donors | Chemical building blocks for modification |
| Monitoring system | Mass spectrometry or fluorescence readout |
These applications leverage the unique structural and enzymatic properties of MnmE while addressing important needs in biotechnology and synthetic biology fields .