KEGG: cvi:CV_1742
STRING: 243365.CV_1742
Chromobacterium violaceum is a rod-shaped, Gram-negative, facultatively anaerobic bacterium with cosmopolitan distribution. While it has caused approximately 160 reported human infections globally, its significance in research extends beyond pathogenicity. C. violaceum produces violacein, a hydrophobic bisindole with antimicrobial properties, and possesses various virulence factors regulated by quorum sensing systems. The organism has been fully sequenced by The Brazilian National Genome Project Consortium, allowing for detailed genetic studies. Its adaptability to diverse ecosystems and production of compounds with potential applications in biotechnology make it an organism of significant research interest .
When approaching C. violaceum research, consider that this bacterium can cause deadly septicemia and infections in multiple organ systems including lungs, liver, brain, spleen, and lymphatic systems. Laboratory work must adhere to appropriate biosafety protocols, especially when working with viable cultures.
Glutamine--tRNA ligase (glnS) is an aminoacyl-tRNA synthetase responsible for attaching the amino acid glutamine to its cognate tRNA (tRNAGln). This enzyme catalyzes a two-step reaction: first activating glutamine with ATP to form glutaminyl-adenylate, then transferring the glutaminyl group to the appropriate tRNA molecule. This charged tRNA subsequently delivers glutamine to the ribosome during protein synthesis, ensuring accurate translation of the genetic code.
When studying bacterial aminoacyl-tRNA synthetases like glnS, it's important to note that these enzymes play crucial roles in maintaining translational fidelity. Research approaches typically involve:
Enzyme kinetics studies to measure aminoacylation rates
Structural analyses to determine protein folding and active site configurations
Mutational analyses to identify critical residues
Comparative genomics to explore evolutionary relationships
The glnS protein represents a potential target for antimicrobial development given its essential role in bacterial protein synthesis.
When expressing recombinant C. violaceum glnS in E. coli, several parameters must be optimized for maximum yield and activity:
Expression Vector Selection:
pET vectors with T7 promoter systems are commonly used for high-level expression
Consider adding affinity tags (His6, GST) for simplified purification
Ensure proper reading frame and codon optimization for E. coli
Host Strain Considerations:
BL21(DE3) derivatives are recommended for their reduced protease activity
Rosetta or CodonPlus strains help overcome codon bias issues
Consider using C41(DE3) or C43(DE3) if the protein proves toxic
Induction Parameters:
IPTG concentration: Start with 0.5-1.0 mM and optimize
Induction temperature: Lower temperatures (16-25°C) often increase soluble protein yield
Induction duration: 4-24 hours depending on temperature and construct stability
Based on experience with similar proteins from Gram-negative bacteria, inclusion of molecular chaperones (GroEL/GroES) may improve soluble protein yield. If the protein forms inclusion bodies, solubilization and refolding protocols using urea or guanidine hydrochloride may be necessary.
For secreted recombinant proteins, a similar approach to that used with C. violaceum chitinase could be applied, where the native signal peptide successfully directed secretion of the recombinant protein in E. coli expression systems .
A multi-step purification approach is recommended for obtaining high-purity, active recombinant glnS:
Initial Capture:
Immobilized Metal Affinity Chromatography (IMAC) for His-tagged constructs
Use Ni-NTA or Co-based resins with imidazole gradients (20-250 mM)
Include 5-10% glycerol in buffers to enhance stability
Intermediate Purification:
2. Ion Exchange Chromatography
Based on theoretical pI of glnS (calculate from sequence)
Q-Sepharose (anion) or SP-Sepharose (cation) depending on pI
Polishing Step:
3. Size Exclusion Chromatography
Separates based on molecular weight and removes aggregates
Superdex 200 or Sephacryl S-200 columns are appropriate
Activity Preservation Considerations:
Maintain reducing conditions (1-5 mM DTT or β-mercaptoethanol)
Include stabilizing agents (glycerol 10-20%)
Consider adding Mg²⁺ (1-5 mM) as a cofactor
Test pH stability range (typically pH 7.0-8.0)
Throughout purification, monitor protein concentration (Bradford/BCA assays), purity (SDS-PAGE), and enzymatic activity (aminoacylation assays). N-terminal sequencing should be performed to confirm proper processing if using constructs with signal peptides, similar to the approach used for C. violaceum chitinase characterization .
The aminoacylation activity of glutamine--tRNA ligase can be measured using several approaches, with optimal conditions as follows:
Standard Aminoacylation Assay Components:
Buffer system: 50-100 mM HEPES or Tris-HCl, pH 7.5-8.0
Magnesium chloride: 5-10 mM (critical cofactor)
ATP: 2-5 mM
Glutamine: 1-5 mM
tRNAGln: 0.5-2 μM (either purified native or in vitro transcribed)
KCl: 50-100 mM
DTT: 1-5 mM (maintains reducing environment)
BSA: 0.1 mg/mL (stabilizer)
Enzyme: 10-100 nM (purified recombinant glnS)
Detection Methods:
Radiochemical Assay:
Use ¹⁴C or ³H-labeled glutamine
Precipitate aminoacylated tRNA with TCA
Filter and measure radioactivity by scintillation counting
Pyrophosphate Release Assay:
Couple with enzymes that convert released PPi to colorimetric/fluorescent signal
Monitor continuously to determine initial velocities
HPLC-based Methods:
Separate charged from uncharged tRNA
Quantify by UV absorbance
For kinetic parameter determination, vary substrate concentrations to establish Km and kcat values. Perform assays at different temperatures (25-37°C) to determine thermal optimum. The pH profile should be established by testing activity across pH 6.0-9.0.
When analyzing enzyme activity data, compare with previously characterized aminoacyl-tRNA synthetases to identify unique properties of the C. violaceum enzyme.
To elucidate structure-function relationships in C. violaceum glnS, employ a multi-faceted approach:
Computational Analysis:
Homology Modeling:
Use crystal structures of homologous bacterial glnS proteins as templates
Validate models through energy minimization and Ramachandran plot analysis
Identify conserved domains and catalytic residues
Molecular Dynamics Simulations:
Explore conformational flexibility
Analyze substrate binding pocket dynamics
Study enzyme-substrate interactions
Experimental Structure Determination:
X-ray Crystallography:
Screen crystallization conditions systematically
Co-crystallize with substrates, analogs, or inhibitors
Solve structure at highest possible resolution
Hydrogen-Deuterium Exchange Mass Spectrometry:
Map protein dynamics and solvent accessibility
Identify regions that undergo conformational changes upon binding
Functional Validation:
Site-Directed Mutagenesis:
Target predicted catalytic residues
Modify substrate binding pocket residues
Alter conserved motifs
Enzyme Kinetics:
Compare mutant and wild-type kinetic parameters
Analyze substrate specificity changes
Test temperature and pH sensitivities
When designing mutation studies, focus on residues conserved across bacterial glnS enzymes as well as residues unique to C. violaceum. The conserved HIGH and KMSKS motifs, characteristic of class I aminoacyl-tRNA synthetases, should be prime targets for functional analysis.
The regulation of glnS expression in C. violaceum likely responds to multiple environmental cues through complex regulatory networks:
Nutrient Availability:
Amino acid starvation typically upregulates aminoacyl-tRNA synthetases
Glutamine availability may exert feedback regulation
Carbon source changes may alter expression patterns
Growth Phase Dependent Regulation:
Expression levels may differ between exponential and stationary phases
Stringent response (mediated by ppGpp) may modulate expression
Environmental Stress Responses:
Temperature shifts
pH changes
Oxidative stress
Antibiotic exposure
Based on findings regarding translation-inhibiting antibiotics in C. violaceum, exposure to sublethal doses of antibiotics targeting polypeptide elongation might influence expression of translation-related genes, potentially including glnS . This could be mediated through the antibiotic-induced response (air) two-component regulatory system that has been identified in C. violaceum .
To experimentally address this question, researchers should:
Perform qRT-PCR analysis of glnS expression under various conditions
Use reporter gene fusions (e.g., glnS promoter-GFP) to monitor expression in real-time
Employ RNA-seq to identify co-regulated genes and regulatory networks
Analyze the promoter region for regulatory motifs
Correlating changes in glnS expression with physiological responses will provide insights into the regulatory mechanisms controlling this essential enzyme.
The quorum sensing (QS) system in C. violaceum, mediated by the CviI/CviR proteins, primarily regulates virulence factors including biofilm formation and violacein production . While direct regulation of translation-related genes like glnS by quorum sensing has not been extensively documented, several lines of evidence suggest potential connections:
Potential Regulatory Mechanisms:
Indirect Regulation Through Growth Phase:
QS systems respond to population density
Growth phase transitions affect global gene expression
Translation machinery genes often show growth phase-dependent regulation
Cross-talk With Stress Response Systems:
QS systems interact with stress response regulators
Translation components are modulated during stress adaptation
Connection With the Air Regulatory System:
To investigate QS influence on glnS expression, researchers should:
Compare glnS expression in wild-type and QS mutant strains (ΔcviI or ΔcviR)
Examine the effect of exogenous N-acyl homoserine lactones on glnS expression
Perform chromatin immunoprecipitation (ChIP) to detect potential CviR binding to the glnS promoter
Analyze the transcriptome of QS mutants for global effects on translation-related genes
Understanding this regulatory connection could reveal how C. violaceum coordinates protein synthesis with population density and environmental conditions.
Recombinant C. violaceum glnS offers several promising applications in synthetic biology, particularly for expanding the genetic code and creating novel aminoacylation systems:
Orthogonal Translation Systems:
Engineer C. violaceum glnS to recognize unnatural amino acids
Develop orthogonal tRNA/synthetase pairs that function independently from the host's translation machinery
Create synthetase variants with altered specificity through directed evolution
Cell-Free Protein Synthesis Enhancement:
Incorporate optimized glnS into cell-free translation systems
Improve efficiency of in vitro protein production
Enable synthesis of proteins containing non-canonical amino acids
Methodological Approach for Engineering glnS:
Structure-guided mutagenesis of the amino acid binding pocket
High-throughput screening methods to identify variants with desired specificity
Directed evolution using positive and negative selection schemes
Computational design to predict beneficial mutations
Potential Applications:
Production of proteins with site-specifically incorporated biophysical probes
Development of proteins with novel chemical properties
Creation of peptides with enhanced stability or bioactivity
When developing these applications, researchers should consider that C. violaceum produces various secondary metabolites and possesses complex regulatory systems like the CviI/CviR quorum sensing system . These native regulatory elements might be harnessed or must be circumvented when designing synthetic biology applications.
Investigating the relationship between glnS and C. violaceum virulence requires multiple complementary approaches:
Genetic Manipulation Strategies:
Conditional Knockdown Systems:
As glnS is likely essential, use inducible antisense RNA or CRISPR interference
Create expression systems with titratable promoters
Monitor changes in virulence factor production
Site-Directed Mutagenesis:
Create strains with altered glnS activity rather than complete loss
Target residues known to affect catalytic efficiency
Evaluate effects on growth and virulence
Infection Models:
In vitro Cell Culture:
Measure bacterial adhesion, invasion, and intracellular survival
Assess cytotoxicity against various cell types
Compare wild-type and glnS-modified strains
Animal Models:
Molecular Interaction Studies:
Proteomics Approaches:
Identify interaction partners of glnS using pull-down assays
Compare protein expression profiles in wild-type vs. glnS-modified strains
Search for virulence-associated proteins affected by glnS alterations
When investigating virulence mechanisms, consider that C. violaceum produces violacein as a virulence factor and employs both type 3 secretion systems (T3SS) and outer membrane vesicles (OMVs) in pathogenesis . The bacterium can cause deadly septicemia and infections in multiple organs, with severe sepsis and septic shock being common complications .
Crystallizing aminoacyl-tRNA synthetases like glnS presents several challenges due to their size, flexibility, and multi-domain structure. Here are methodological approaches to overcome these obstacles:
Protein Engineering Strategies:
Domain Truncation:
Identify stable domains through limited proteolysis
Engineer constructs focusing on catalytic or substrate-binding domains
Remove flexible regions that hinder crystal formation
Surface Entropy Reduction:
Identify clusters of high-entropy residues (Lys, Glu) on protein surface
Replace with lower entropy residues (Ala) to promote crystal contacts
Use SERp server to identify optimal mutation sites
Crystallization Optimization:
Ligand Co-crystallization:
Include substrates (glutamine, ATP) or substrate analogs
Try non-hydrolyzable ATP analogs (AMPPNP)
Test tRNA fragments or full tRNAGln
Alternative Crystallization Methods:
Lipidic cubic phase for proteins with hydrophobic regions
Microseeding to promote crystal nucleation
Counter-diffusion techniques for slow equilibration
Advanced Screening Approaches:
High-throughput Methods:
Implement nanoliter-scale crystallization robots
Use dynamic light scattering to assess sample monodispersity
Screen additives library (Hampton Research) systematically
Alternative Approaches When Crystallization Fails:
Cryo-electron microscopy for single-particle analysis
Small-angle X-ray scattering (SAXS) for low-resolution envelope
Nuclear magnetic resonance (NMR) for domain structure
For any successful crystallization, protein preparation quality is critical - ensure high purity (>95% by SDS-PAGE), remove aggregates via size exclusion chromatography, and verify activity before setting up crystallization trials.
Distinguishing between direct and indirect effects when manipulating essential genes like glnS presents significant challenges. Here are methodological approaches to address this issue:
Temporal Control Strategies:
Inducible Expression Systems:
Use tightly controlled inducible promoters
Establish dose-response relationships
Monitor time-course of expression changes and phenotypic effects
Degron-based Approaches:
Fuse degron tags for rapid protein degradation
Allows temporal control of protein levels
Compare immediate vs. delayed responses
Pathway Analysis:
Multi-omics Integration:
Combine transcriptomics, proteomics, and metabolomics data
Identify temporally ordered changes after glnS manipulation
Construct pathway models to distinguish primary and secondary effects
Network Analysis:
Build gene regulatory networks
Identify direct targets vs. downstream effectors
Use statistical approaches to infer causality
Complementation Approaches:
Heterologous Expression:
Express glnS from other species to restore function
Design variants with altered regulation but preserved catalytic activity
Compare phenotypes to distinguish function-specific vs. regulation-specific effects
Biochemical Complementation:
Supplement media with products downstream of affected pathways
Test if phenotypes can be rescued by metabolite addition
Identify metabolic bottlenecks caused by glnS manipulation
Controls and Validation:
Parallel Manipulation of Related Genes:
Compare effects of manipulating other aminoacyl-tRNA synthetases
Distinguish translation-wide effects from glnS-specific effects
Use partial inhibition of translation as control
When interpreting results, consider that altering glnS expression will likely affect translation efficiency globally, which can trigger stress responses similar to those observed with translation-inhibiting antibiotics in C. violaceum . The connection between translation inhibition, the Air regulatory system, and virulence factors provides important context for understanding these complex interactions .
Glutaminyl-tRNA synthetases (GlnRS) show both conservation and variation across bacterial species. When comparing C. violaceum glnS with homologs from other bacteria:
Structural Comparison:
| Feature | C. violaceum GlnRS | E. coli GlnRS | B. subtilis |
|---|---|---|---|
| Domain Organization | N-terminal catalytic domain, C-terminal anticodon binding domain | Similar domain organization | Often uses indirect pathway (GluRS + GatCAB) |
| Conserved Motifs | HIGH and KMSKS motifs (Class I) | HIGH and KMSKS motifs | N/A (uses GluRS) |
| Substrate Binding Pocket | Specific glutamine recognition | Well-characterized glutamine specificity | N/A (uses GluRS) |
| Anticodon Recognition | tRNAGln (UUG, CUG) recognition | Specific contacts with anticodon bases | Different mechanism |
Functional Differences:
Direct vs. Indirect Pathways:
Many bacteria (particularly Gram-positives) lack GlnRS
Instead use indirect aminoacylation (mischarging tRNAGln with Glu by GluRS, followed by transamidation)
C. violaceum likely uses the direct pathway with dedicated GlnRS
Substrate Specificity:
Differences in amino acid pocket architecture affect specificity
Variations in ATP binding and utilization efficiency
Species-specific differences in tRNA recognition elements
Regulatory Mechanisms:
Expression regulation varies between species
Different responses to stress conditions
Species-specific protein-protein interactions
For experimental comparison, researchers should:
Perform phylogenetic analysis of GlnRS sequences
Compare kinetic parameters (Km, kcat) with purified enzymes
Test cross-species complementation (can E. coli GlnRS complement C. violaceum glnS knockout?)
Analyze tRNA recognition patterns across species
Understanding these comparative aspects provides insight into evolutionary adaptation of the translation machinery across bacterial species.
Studying C. violaceum glnS offers valuable insights into aminoacyl-tRNA synthetase (aaRS) evolution, particularly when viewed within the phylogenetic context of beta-proteobacteria:
Evolutionary Perspectives:
Horizontal Gene Transfer vs. Vertical Inheritance:
Analyze synteny and GC content around glnS locus
Compare phylogenetic trees of glnS with species trees
Identify potential horizontal gene transfer events
Adaptation to Ecological Niches:
C. violaceum inhabits diverse environments with varying physicochemical conditions
Compare glnS from environmental vs. pathogenic strains
Identify signatures of selection in different lineages
Co-evolution with tRNA:
Analyze C. violaceum tRNAGln sequences and their evolution
Compare identity elements recognized by glnS across species
Investigate coordinated evolution of synthetase and tRNA
Methodological Approaches:
Comparative Genomics:
Analyze glnS across sequenced Chromobacterium species
Identify conserved and variable regions
Compare with other beta-proteobacteria
Ancestral Sequence Reconstruction:
Infer ancestral glnS sequences
Express and characterize reconstructed enzymes
Trace functional changes through evolutionary history
Selection Analysis:
Calculate dN/dS ratios to identify selection pressures
Identify sites under positive selection
Map selected sites onto protein structure
Findings from C. violaceum glnS studies may illuminate broader evolutionary patterns in translation machinery, particularly in the context of the organism's adaptability to diverse ecosystems . The fact that C. violaceum has 41 methyl-accepting chemotaxis protein loci and multiple homologues of bacterial chemotaxis genes suggests a high degree of environmental adaptability , which may be reflected in the evolution of its core translation machinery components like glnS.
Developing inhibitors of C. violaceum glnS as antimicrobial agents requires a systematic approach targeting this essential enzyme:
Target Validation and Inhibitor Design:
Essential Nature Confirmation:
Demonstrate that glnS is essential in C. violaceum
Determine minimum inhibitory levels of glnS activity
Validate in relevant infection models
Structure-Based Drug Design:
Use crystal structures or homology models
Virtual screening of compound libraries
Fragment-based approaches to identify binding scaffolds
Rational Design Strategies:
Target ATP binding site with non-hydrolyzable analogs
Develop glutamine analogs that compete for active site
Design allosteric inhibitors targeting unique regulatory sites
Screening Methodologies:
Biochemical Assays:
High-throughput aminoacylation assays
ATP consumption assays
Thermal shift assays to identify stabilizing compounds
Cell-Based Screens:
Growth inhibition assays with C. violaceum
Counter-screens against mammalian cells for toxicity
Imaging-based approaches to monitor cellular effects
Lead Optimization Considerations:
Selectivity Enhancement:
Compare with human glutaminyl-tRNA synthetase
Design compounds exploiting structural differences
Test against panel of bacterial and human aaRSs
Pharmacological Improvement:
Optimize solubility, stability, and membrane permeability
Evaluate metabolic stability
Assess potential for resistance development
When developing these inhibitors, researchers should consider combining them with compounds targeting other virulence factors. For example, research suggests that natural bioactive molecules like palmitic acid can act as anti-quorum agents by reducing expression of virulence factors while also functioning as immunomodulatory agents .
Several promising research directions could deepen our understanding of the translation machinery-virulence connection in C. violaceum:
Integrative Research Approaches:
Systems Biology of Stress Response:
Map global responses to translation inhibition
Identify regulatory networks connecting translation stress to virulence
Develop predictive models of bacterial adaptation
Host-Pathogen Interaction Studies:
Investigate how translation machinery modulation affects host recognition
Study effects on immune system activation
Examine translational reprogramming during infection
Translation Quality Control and Virulence:
Investigate role of mistranslation in generating phenotypic diversity
Study stress-induced changes in translation fidelity
Examine impacts on virulence factor production
Emerging Methodologies:
Ribosome Profiling:
Map translation dynamics during infection
Identify differentially translated mRNAs
Compare wild-type with glnS-modulated strains
Proteomics Approaches:
Quantitative proteomics under various stress conditions
Pulse-chase experiments to measure protein synthesis rates
Post-translational modification analysis
Single-Cell Technologies:
Analyze translation-virulence relationships at single-cell level
Identify phenotypic heterogeneity in bacterial populations
Study bet-hedging strategies in response to stress
Research has already established connections between translation inhibition and virulence in C. violaceum. For example, sublethal doses of translation-inhibiting antibiotics can induce violacein production, biofilm formation, and virulence against Drosophila melanogaster . The antibiotic-induced response (air) two-component regulatory system is required for these responses, and genetic analyses have indicated connections between this system, quorum-dependent signaling, and the negative regulator VioS .
These findings suggest a complex interplay between translation stress, virulence regulation, and bacterial adaptation that merits further investigation. Understanding these connections could lead to novel therapeutic approaches targeting the nexus between translation and virulence.
Several critical unresolved questions about C. violaceum glnS present opportunities for collaborative research:
Fundamental Science Questions:
Structure-Function Relationships:
What structural features distinguish C. violaceum glnS from homologs?
How do these differences affect substrate specificity and catalytic efficiency?
What conformational changes occur during the catalytic cycle?
Regulatory Networks:
How is glnS expression integrated with other cellular processes?
What transcription factors directly control glnS expression?
How does translation stress affect glnS regulation?
Evolutionary Context:
How has C. violaceum glnS evolved relative to other bacterial synthetases?
What selective pressures have shaped its function?
Are there unique adaptations related to C. violaceum's lifestyle?
Applied Research Opportunities:
Therapeutic Development:
Can specific inhibitors be developed against C. violaceum glnS?
How might resistance to such inhibitors develop?
Could glnS inhibition sensitize bacteria to other antimicrobials?
Synthetic Biology Applications:
How can C. violaceum glnS be engineered for expanded amino acid incorporation?
What features make it suitable for biotechnological applications?
Can it be adapted for use in cell-free protein synthesis systems?
These questions would benefit from interdisciplinary teams combining expertise in:
Structural biology and biophysics
Microbial genetics and genomics
Biochemistry and enzymology
Computational biology
Synthetic biology and protein engineering
A collaborative network approach would accelerate progress by sharing resources, methodologies, and integrating diverse perspectives on this multifaceted research topic.
Advances in understanding C. violaceum glnS have the potential to impact multiple fields:
Contributions to Bacterial Physiology:
Stress Response Mechanisms:
Illuminate connections between translation quality control and stress adaptation
Provide insights into bacterial survival strategies
Enhance understanding of regulatory network integration
Metabolic Integration:
Clarify links between amino acid metabolism and protein synthesis
Reveal regulatory mechanisms coordinating these processes
Identify novel metabolic control points
Environmental Adaptation:
Demonstrate how translation machinery adjusts to environmental changes
Reveal mechanisms of bacterial persistence in diverse niches
Contribute to understanding bacterial community dynamics
Impacts on Pathogenesis Research:
Virulence Regulation Paradigms:
Host-Pathogen Interaction Models:
Provide new perspectives on how translation stress affects virulence
Illuminate mechanisms of bacterial adaptation during infection
Suggest novel intervention strategies
Antimicrobial Development Approaches:
Inform target selection strategies for new antibacterials
Guide combination therapy approaches
Suggest ways to minimize resistance development
The findings regarding C. violaceum's response to translation-inhibiting antibiotics already suggest a novel mechanism of interspecies interaction in which bacteria produce antibiotics in response to inhibition by other bacteria . This supports the hypothesis that antibiotics may function as signal molecules rather than simply as competitive weapons, which has profound implications for understanding microbial ecology and potentially for developing new antimicrobial strategies.