This protein exhibits a high intrinsic GTPase hydrolysis rate and 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: lic:LIC_10159
STRING: 267671.LIC10159
Leptospira interrogans serovar Copenhageni is one of the most pathogenic serovars within the Icterohaemorrhagiae serogroup and represents more than half of the leptospires encountered in severe human infections . It is a zoonotic pathogen that causes leptospirosis, a disease of significant human and veterinary concern. The strain most commonly used in research is Fiocruz L1-130, which has been extensively characterized for studying leptospiral pathogenesis .
This serovar is particularly significant because:
It shows high pathogenicity compared to other Leptospira serovars
It has been isolated from multiple mammalian hosts, including humans and rodents
It demonstrates specific patterns of tissue colonization, particularly in kidneys
It elicits distinct immune responses depending on the route of infection
When designing experiments with this organism, researchers should consider that Copenhageni is the predominant serovar in the Icterohaemorrhagiae serogroup isolated in the British Isles, with 16 out of 19 isolates identified as Copenhageni in a representative study .
MnmE is a multi-domain GTPase that is evolutionarily conserved from bacteria to humans. It functions in conjunction with its partner protein MnmG to catalyze a specific tRNA wobble uridine modification . This modification is critical for accurate and efficient protein translation.
Key characteristics of MnmE include:
Unlike classical small GTP-binding proteins that are regulated by GEFs and GAPs, MnmE's GTPase activity is activated through potassium-dependent homodimerization of its G domains
The protein undergoes large-scale conformational changes throughout its GTPase cycle
These conformational changes are believed to drive and fine-tune the complex tRNA modification reaction
In eukaryotes, MnmE orthologues are targeted to mitochondria, and mutations in the encoding genes are associated with severe mitochondrial diseases
Understanding MnmE's mechanism is particularly valuable for researchers investigating fundamental aspects of bacterial physiology as well as for those exploring the molecular basis of certain mitochondrial disorders.
When designing experiments to study L. interrogans pathogenesis, several methodological considerations are essential:
Infection Route Selection: Different routes of infection significantly impact experimental outcomes. Research has shown that transdermal and nasal mucosa infections lead to weight loss, renal colonization, and inflammation, while oral mucosa inoculation does not produce these effects . Consider the following comparative data:
| Infection Route | Blood Access Timing | Kidney Colonization | Urinary Shedding | Immune Response Characteristics |
|---|---|---|---|---|
| Transdermal | Delayed compared to IP | Significant | Present | Similar to IP |
| Nasal Mucosa | Delayed compared to IP | Significant | Present | Higher KC, MIP-2, TNF-α; Lower IFN-γ and IgG2a |
| Oral Mucosa | Limited/None | Minimal/None | Minimal/None | Minimal inflammatory response |
| Intraperitoneal | Rapid | Significant | Present | Strong Th1 response (high IFN-γ) |
Animal Model Selection: C3H/HeJ mice have been validated for studying sublethal infection with L. interrogans, allowing examination of kidney colonization and immune responses .
Bacterial Burden Quantification Methods:
qPCR of Leptospira 16S rRNA from tissues
Culture of tissues to confirm viability
Blood sampling at multiple timepoints to track dissemination kinetics
Immune Response Assessment:
Transcriptional analysis of pro-inflammatory mediators (CxCL1/KC, CxCL2/MIP-2, CCL5/RANTES, TNF-α)
Th1 cytokine (IFN-γ) measurement
Fibrosis markers (collagen A1, iNOS)
Immunoglobulin isotyping in serum
Based on established research protocols, the following methodological approach is recommended for studying recombinant proteins from L. interrogans:
Gene Selection and Verification:
Identify target genes through bioinformatic analysis
Confirm gene presence across relevant serovars using PCR
Verify gene expression via RT-PCR under different environmental conditions to account for regulation (especially important as LIC10258 and LIC12880 show differential expression patterns across serovars)
Cloning and Expression Strategy:
Amplify the complete open reading frame without signal peptide sequence
Clone into expression vectors with appropriate tags (His-tag commonly used)
Express in E. coli BL21 (SI) strain, which has been successfully employed for leptospiral proteins
Optimize induction conditions (temperature, IPTG concentration, duration)
Protein Purification Protocol:
Perform metal affinity chromatography for His-tagged proteins
Consider additional purification steps (ion exchange, size exclusion) to achieve high purity
Verify protein identity by western blot with anti-His antibodies and mass spectrometry
Functional Characterization Assays:
Binding studies with potential interaction partners (e.g., ECM components, plasminogen)
Determine binding kinetics using methods like surface plasmon resonance
Calculate binding constants (KD values) for quantitative comparisons
For example, in characterizing novel OmpA-like proteins from L. interrogans, researchers successfully employed Escherichia coli BL21 (SI) as the host expression system, followed by functional characterization revealing plasminogen binding with KD values of 68.8±25.2 nM and 167.39±60.1 nM for rLIC10258 and rLIC12880, respectively .
Distinguishing between serovars Icterohaemorrhagiae and Copenhageni presents significant challenges due to their close genetic relationship. Based on research findings, the following methodological approach is recommended:
Monoclonal Antibody Typing:
Genetic Typing Methods:
Multiple-Locus Variable-Number Tandem Repeat Analysis (MLVA): This method has identified three loci with differences in repeat numbers, indicating genetic diversity between isolates
lic12008 Gene Sequence Analysis: All isolates identified as Icterohaemorrhagiae serotype have been shown to have a single base insertion compared to Copenhageni serotype sequences
Restriction Endonuclease Analysis (REA): While commonly used, research has shown this method is not able to discriminate between Icterohaemorrhagiae and Copenhageni serovars
Comparative effectiveness of different typing methods:
| Method | Ability to Differentiate | Technical Complexity | Resource Requirements | Notes |
|---|---|---|---|---|
| Monoclonal Antibody Typing | High | Moderate | Requires specific antibodies | Most reliable for serovar differentiation |
| MLVA | Moderate | High | Requires sequencing capability | Reveals genetic diversity but not always serovar-specific |
| lic12008 Gene Sequence Analysis | High | High | Requires sequencing capability | Can distinguish based on specific genetic marker |
| REA | Low | Moderate | Moderate laboratory equipment | Not effective for these closely related serovars |
Research has demonstrated that using a combination of these approaches provides the most reliable differentiation, with molecular methods supporting traditional serological typing.
MnmE exhibits complex conformational dynamics that are integral to its function in tRNA modification. The following mechanisms have been elucidated:
GTPase Cycle and Conformational Changes:
Functional Mechanism:
The conformational changes in MnmE are believed to:
Position the catalytic residues optimally for the tRNA modification reaction
Facilitate interaction with partner protein MnmG
Enable proper binding and orientation of the tRNA substrate
Coordinate the chemistry of the modification reaction
Structural Features Supporting Function:
Multi-domain architecture allows for complex movements during catalysis
G domains undergo dimerization in a potassium-dependent manner
Conformational states are tightly coupled to the nucleotide state (GTP, GDP, or nucleotide-free)
Methodological Approaches to Study Dynamics:
X-ray crystallography of different nucleotide-bound states
FRET-based assays to track domain movements in real-time
Mutational analysis of key residues involved in dimerization and catalysis
Computational molecular dynamics simulations to predict motion trajectories
These conformational changes are believed to drive and tune the complex tRNA modification reaction by controlling the sequential steps of substrate binding, chemistry, and product release .
Leptospira surface proteins play crucial roles in host-pathogen interactions, particularly in bacterial adhesion, invasion, and immune evasion. Their experimental characterization requires a multi-faceted approach:
Identification and Classification:
Bioinformatic analysis to identify potential surface proteins
Classification based on structural features (e.g., OmpA-like proteins like Lsa66)
Expression analysis under different conditions to determine regulation patterns
Functional Characterization Methodologies:
Binding Assays: Test interaction with host components (ECM molecules, plasminogen)
Kinetic Analysis: Determine binding constants (KD) through dose-dependent assays
For example, Lsa66 (LIC10258) showed specific binding to:
Inhibition Studies:
Immunological Analysis:
Assessment of protein recognition by convalescent sera
Antibody production for detection and functional studies
Immunofluorescence assays to confirm surface localization
Expression Analysis Under Host-Relevant Conditions:
Osmolarity changes that mimic physiological conditions (≈300 mosmol per liter) encountered upon host entry
Temperature shifts that simulate fever or environmental-to-host transition
Nutrient availability changes
This methodological approach has successfully identified novel proteins like Lsa66, an OmpA-like protein with dual binding activity to ECM components and plasminogen, which may contribute to leptospiral attachment to host tissues and subsequent invasion .
The choice of infection route significantly impacts research outcomes when studying L. interrogans pathogenesis. Researchers should consider the following methodological implications:
Differential Tissue Colonization Patterns:
Distinct Immune Response Profiles:
| Infection Route | Innate Immune Markers | Adaptive Response | Fibrosis Markers |
|---|---|---|---|
| Nasal Mucosa | Higher KC, MIP-2, TNF-α | Lower IFN-γ, Lower Th1-associated IgG2a | Similar to IP |
| Transdermal | Similar to IP | Similar to IP | Similar to IP |
| Intraperitoneal | Standard reference | Higher IFN-γ, Higher Th1-associated IgG2a | Standard reference |
| Oral Mucosa | Minimal activation | Minimal activation | Minimal activation |
Methodological Recommendations:
Study Design: Include multiple infection routes when assessing pathogenesis mechanisms
Timeline Considerations: Adjust sampling schedules based on route-specific dissemination kinetics
Immune Analysis: Incorporate both innate and adaptive immune markers
Controls: Always include standard IP route as reference for comparison
Relevance to Natural Infection:
This comparative understanding is essential for designing studies that accurately model natural infection while maintaining experimental control and reproducibility.
Based on established methodologies for similar proteins, the following protocol recommendations are critical for successful expression and purification of recombinant MnmE:
Vector Selection and Construct Design:
Use pAE or similar vectors that provide N-terminal His-tags for purification
Exclude signal peptide sequences when designing constructs
Consider codon optimization for E. coli expression if initial attempts yield low expression
Expression System Optimization:
E. coli BL21 (SI) strain has proven effective for leptospiral proteins
Test multiple induction conditions:
Temperature: Compare 30°C vs. 37°C
Inducer concentration: Typically 0.5-1.0 mM IPTG
Duration: 3-6 hours for standard protocol, overnight for difficult proteins
Consider auto-induction media for proteins with toxicity issues
Purification Strategy:
Immobilized metal affinity chromatography (IMAC) using Ni-NTA resin
Include additional purification steps for functional studies:
Size exclusion chromatography to ensure monomeric protein
Ion exchange chromatography for removal of nucleic acid contamination
Buffer Optimization for GTPase Activity:
Include potassium (typically 50-100 mM KCl) in buffers to support MnmE's potassium-dependent GTPase activity
Test protein stability in different pH conditions (typically pH 7.5-8.0)
Add glycerol (5-10%) to prevent aggregation and improve stability
Consider adding reducing agents (DTT or β-mercaptoethanol) to prevent oxidation
Activity Assays and Verification:
GTPase activity using malachite green phosphate assay
Confirm conformational changes using intrinsic tryptophan fluorescence
Verify function through complementation assays in mnmE-deficient strains
Troubleshooting Common Issues:
Low expression: Test different E. coli strains, optimize codon usage
Insoluble protein: Lower induction temperature, use solubility enhancers
Loss of activity: Ensure potassium is present in all buffers, verify protein folding
Aggregation: Add detergents (0.01-0.05% Triton X-100) or stabilizers (arginine, sucrose)
This methodological approach builds upon successful strategies used for other leptospiral proteins while incorporating specific considerations for GTPases like MnmE.
Researchers face several challenges when assessing protein roles in Leptospira pathogenesis. The following methodological approaches can address these challenges:
This comprehensive approach has been validated in studies of proteins like Lsa66, which demonstrated specific, dose-dependent, and saturable binding to multiple host components with functional inhibition of bacterial attachment .
Several cutting-edge methodologies are emerging for investigating structure-function relationships in bacterial tRNA modification enzymes:
Cryo-Electron Microscopy (Cryo-EM):
Allows visualization of different conformational states without crystallization
Particularly valuable for capturing the MnmE-MnmG complex during various stages of the catalytic cycle
Can reveal dynamic interactions between the enzyme complex and tRNA substrates
Time-Resolved X-ray Crystallography:
Captures transient conformational states during the GTPase cycle
Provides insights into how potassium-dependent dimerization drives structural changes
Can be combined with substrate analogs to trap reaction intermediates
Hydrogen-Deuterium Exchange Mass Spectrometry (HDX-MS):
Maps protein dynamics and conformational changes under various conditions
Particularly useful for identifying regions that undergo structural rearrangements during substrate binding
Can probe effects of mutations or ligands on protein dynamics
Single-Molecule FRET Techniques:
Monitors real-time conformational changes during enzyme function
Can track the timing and sequence of structural rearrangements during the catalytic cycle
Allows correlation of structural dynamics with catalytic steps
Integrative Computational Approaches:
Molecular dynamics simulations to predict conformational changes
Quantum mechanics/molecular mechanics (QM/MM) calculations to model the reaction mechanism
Machine learning algorithms to predict effects of mutations on enzyme function
CRISPR-Based Approaches for In Vivo Functional Analysis:
Base editing to introduce specific mutations in the native genomic context
CRISPRi for conditional knockdown to assess physiological consequences
CRISPR screens to identify genetic interactions with other cellular components
These emerging techniques, when applied to MnmE from Leptospira interrogans, could provide unprecedented insights into how this enzyme's conformational dynamics drive tRNA modification and potentially reveal species-specific features that might be exploited for therapeutic targeting.
Comparative analysis of MnmE across bacterial species offers valuable insights into both evolutionary conservation and pathogen-specific adaptations:
Structural and Functional Conservation Analysis:
Identify core structural elements conserved across species
Map species-specific variations that might relate to pathogenesis
Determine if pathogenic species show distinctive features in MnmE
Methodological Approach for Comparative Studies:
Sequence Analysis:
Multiple sequence alignment of MnmE from diverse bacterial species
Phylogenetic analysis to correlate MnmE variations with pathogenicity
Identification of signature sequences in pathogenic vs. non-pathogenic species
Structural Comparison:
Homology modeling based on existing MnmE structures
Structure-based alignment to identify functional differences
Analysis of surface properties and interaction interfaces
Functional Comparison:
Heterologous expression and biochemical characterization
Cross-complementation studies in model organisms
Comparative analysis of GTPase activity and regulation
Relevance to Translational Research:
Identification of pathogen-specific features that could be targeted therapeutically
Understanding of evolutionary constraints on MnmE function
Insight into how tRNA modification impacts bacterial physiology and virulence
Specific Research Questions to Address:
Does MnmE from pathogenic Leptospira show unique structural or functional adaptations?
Are there correlations between MnmE variations and bacterial host range or virulence?
How do environmental adaptations in different bacterial species affect MnmE function?
Does the potassium-dependent activation mechanism vary across species in ways that might impact pathogenesis?
This comparative approach could reveal whether MnmE functions as a basic cellular maintenance factor or if it has acquired specialized roles in pathogenic species like Leptospira interrogans that contribute to their virulence.
tRNA modification systems, including those involving MnmE, play critical roles in bacterial adaptation to diverse host environments:
Translational Efficiency and Accuracy:
tRNA modifications optimize codon-anticodon interactions
This may be particularly important during host infection when rapid protein synthesis is required
Different modifications may be preferentially required for expression of virulence factors
Stress Response Regulation:
tRNA modification patterns can change in response to environmental stressors
This dynamic regulation may help bacteria adapt to changing host conditions
For pathogenic bacteria like Leptospira interrogans that encounter diverse environments (environment → host → different tissues), this adaptability is particularly relevant
Experimental Approaches to Investigate These Connections:
Transcriptomics Under Host-Relevant Conditions:
RNA-seq analysis in response to temperature shifts, osmolarity changes, and pH variations
Quantification of tRNA modification levels under different conditions
Correlation of modification patterns with expression of virulence factors
Infection Models With Variable Routes:
Methodological Approaches for tRNA Modification Analysis:
Mass spectrometry-based methods to quantify modification levels
Next-generation sequencing approaches for tRNA modification mapping
Bacterial genetics to create modification-deficient strains for in vivo testing
Research Questions at the Intersection of tRNA Biology and Pathogenesis:
Does Leptospira interrogans modulate its tRNA modification pattern during infection?
Are specific modifications required for expression of virulence factors?
Does the bacterial response to host immune attack involve changes in tRNA modification?
Can tRNA modification systems be targeted for antimicrobial development?
This research direction connects fundamental aspects of bacterial physiology with pathogenesis mechanisms and may reveal new targets for therapeutic intervention.
Researchers studying recombinant proteins from Leptospira interrogans can access several methodological resources:
Expression System Selection:
Standardized Protocols for Functional Characterization:
Binding Assays:
Inhibition Studies:
Transcriptional Analysis Methods:
Animal Model Resources:
Data Analysis Resources:
Statistical approaches for comparing binding affinities
Methods for analyzing inhibition studies
Protocols for quantifying bacterial loads in tissues
Strain Typing Resources:
These methodological resources provide researchers with validated approaches for investigating recombinant proteins from Leptospira interrogans, enabling reproducible and comparable results across different laboratories.
Robust experimental design for studying bacterial GTPases like MnmE requires comprehensive controls and validation methods:
Biochemical Characterization Controls:
Negative Controls:
Positive Controls:
Well-characterized GTPases with known activity profiles
Previously validated recombinant MnmE from model organisms
Commercial GTPase standards for activity calibration
Structural and Functional Validation Methods:
Circular Dichroism (CD) Spectroscopy:
Verification of proper protein folding
Monitoring structural changes upon nucleotide binding
Thermal Shift Assays:
Assessment of protein stability under various conditions
Evaluation of ligand effects on protein stability
Size Exclusion Chromatography with Multi-Angle Light Scattering (SEC-MALS):
Determination of oligomeric state
Monitoring of potassium-dependent dimerization
Activity Assay Validation:
Multiple Independent Methods:
Malachite green phosphate assay for Pi release
HPLC-based methods for nucleotide conversion
Coupled enzyme assays for real-time monitoring
Kinetic Parameter Determination:
Km and Vmax calculations under varying conditions
Effects of potassium concentration on activity
Temperature and pH optima determination
Functional Complementation:
In vivo Validation:
Complementation of mnmE-deficient strains
Phenotypic rescue assessment
tRNA modification analysis in complemented strains
Interaction Studies Validation:
Reciprocal Co-IP Controls:
Verification of interactions from both directions
Non-specific binding controls using unrelated proteins
Microscale Thermophoresis Controls:
Titration with non-interacting proteins as negative controls
Competition assays with unlabeled proteins
Conformational Dynamics Validation:
Multiple Structural Methods:
Correlation between X-ray crystallography and solution studies
Validation of FRET-based conformational measurements with alternative approaches