Chromobacterium violaceum is a Gram-negative betaproteobacterium known for producing violacein, a purple pigment with antimicrobial and antiparasitic properties . Beyond violacein, C. violaceum synthesizes other antibiotics like aerocyanidin and aerocavin, which exhibit activity against both Gram-positive and Gram-negative bacteria . C. violaceum can survive in both aerobic and anaerobic conditions, owing to its efficient energy production mechanisms . It demonstrates a strong chemotactic capacity and adaptability to stress, requiring significant energy .
The genome of C. violaceum encodes a wide array of proteins that contribute to its metabolism, stress response, and virulence. Among these proteins is the Recombinant Chromobacterium violaceum UPF0250 protein CV_3095 (CV_3095), which is a protein of unknown function .
As a protein of unknown function, CV_3095 is classified under the UPF0250 (Unknown Protein Function) category, meaning that it has been identified and cataloged but its specific biological role has not been experimentally determined .
While the precise function of CV_3095 remains unknown, several studies provide clues regarding its potential role within C. violaceum:
Genomic Context The CV_3095 gene is located within the C. violaceum genome, and its neighboring genes may provide insights into its function. Analyzing the functions of nearby genes and their interactions can suggest potential roles for CV_3095 in related pathways or processes .
Expression Patterns Studies of gene expression, such as transcriptomic analyses, can reveal when and under what conditions the CV_3095 gene is expressed. For example, if CV_3095 expression is up-regulated under specific stress conditions or during certain metabolic states, it may indicate a role in stress response or metabolism .
Protein Structure Analyzing the amino acid sequence of CV_3095 can reveal structural motifs or domains that are similar to those found in proteins with known functions. This approach can provide hypotheses about the biochemical activity of CV_3095 .
Comparative Genomics Comparing the CV_3095 protein sequence to those of other organisms may identify homologous proteins with known functions. If CV_3095 is similar to a well-characterized protein in another bacterium, it may suggest a conserved function .
C. violaceum possesses a versatile metabolic apparatus that enables it to thrive in diverse environments . Its energy production capabilities include glycolysis and the tricarboxylic acid cycle, as well as an efficient electron transport system . This bacterium cannot use sucrose or lactose because it lacks the necessary metabolic pathways .
C. violaceum is an opportunistic pathogen capable of causing severe infections, particularly in immunosuppressed individuals . Infections can rapidly spread through various tissues, leading to life-threatening conditions .
Virulence Factors Several proteins secreted by C. violaceum have been identified as virulence factors, including collagenases, flagellum proteins, metallopeptidases, and toxins . These factors contribute to the bacterium's ability to invade host tissues and cause disease .
Clinical Manifestations C. violaceum infections can manifest as fever, abdominal pain, and pulmonary septic embolism . Emergent laparotomy may be required to address conditions such as acute appendicitis .
Antibiotic Resistance and Production C. violaceum produces violacein and other antibiotics, providing it with a competitive advantage against other microorganisms . It also responds to translation-inhibiting antibiotics by producing violacein, suggesting a mechanism of interspecies interaction .
C. violaceum has considerable biotechnological potential due to its production of various enzymes and metabolites .
Enzymes Secreted enzymes such as chitinase and chitosanase have potential applications in various biotechnological processes .
Ferrioxamine E Ferrioxamine E, a metabolite produced by C. violaceum, accelerates the growth of various organisms, including bacilli, cocci, yeast, fungi, and algae .
Drug Development Certain metabolites, such as FR901228, exhibit antitumor activity and may have therapeutic potential .
| Biochemical Test | Result |
|---|---|
| Gram stain | Negative |
| Motility | Positive |
| Catalase | Positive |
| Oxidase | Positive |
| Violacein production | Positive |
| Antibiotic | Result |
|---|---|
| Imipenem | Susceptible |
| Meropenem | Susceptible |
| Ciprofloxacin | Susceptible |
| Levofloxacin | Susceptible |
| Trimethoprim/Sulfamethoxazole | Susceptible |
| Piperacillin/Tazobactam | Susceptible |
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CV_3095 is a small protein (89 amino acids, 10.156 kDa) belonging to the UPF0250 family that is encoded by the Chromobacterium violaceum genome . The specific strain reference is Chromobacterium violaceum (strain ATCC 12472 / DSM 30191 / JCM 1249 / NBRC 12614 / NCIMB 9131 / NCTC 9757) . Chromobacterium violaceum is a gram-negative bacterium abundantly found in soil and water microbiota of tropical and subtropical regions worldwide . This organism has gained significant research interest as it has emerged as an important model of an environmental opportunistic pathogen with high virulence in human infections and mouse infection models .
The UPF0250 family, to which CV_3095 belongs, is categorized as a family of proteins with unknown function (UPF) . This designation indicates that while these proteins have been identified and sequenced across multiple organisms, their specific biological roles remain largely uncharacterized.
Research approaches to determine the function of such uncharacterized proteins typically include:
Comparative genomic analyses with better-characterized organisms
Gene knockout studies to observe phenotypic changes
Protein-protein interaction studies to identify binding partners
Structural analyses to identify potential functional domains
Expression studies under various conditions to determine when the protein is produced
Based on established protocols for similar proteins, the following methodology would be suitable for CV_3095 expression:
Expression System Selection:
E. coli is the recommended expression system for CV_3095 due to its cost-effectiveness and efficiency for small, soluble bacterial proteins . Consider using BL21(DE3) or Rosetta strains, with the latter being particularly useful if CV_3095 contains rare codons that might cause ribosomal stalling .
Vector Selection:
A pET-based expression vector with a fusion tag would be optimal. Consider using a maltose-binding protein (MBP) tag, which has been shown to dramatically boost expression of challenging proteins and improve solubility . The vector should include:
A strong, inducible promoter (T7)
An appropriate fusion tag (MBP or 6xHis)
A precision protease cleavage site for tag removal
Culture Conditions:
Temperature: 18-25°C for induction phase to minimize inclusion body formation
Medium: Enriched media such as Terrific Broth (TB) or 2xYT
Induction: 0.1-0.5 mM IPTG when culture reaches OD600 of 0.6-0.8
Post-induction growth: 16-18 hours at reduced temperature (18°C)
Optimization Parameters:
If initial expression yields are low, consider optimizing:
Codon usage (through codon-optimized synthetic genes)
Introduction of mutations to disrupt potential ribosomal stalling proline-rich motifs
Adjusting induction parameters (IPTG concentration, temperature, duration)
Testing different fusion tags (SUMO, GST, TrxA) if MBP is not effective
For efficient purification of recombinant CV_3095, the following multi-step strategy is recommended:
Resuspend cell pellet in lysis buffer containing:
50 mM Tris-HCl pH 8.0
300 mM NaCl
1 mM DTT
Protease inhibitor cocktail
0.1% Triton X-100 (to reduce aggregation)
Lyse cells via sonication or high-pressure homogenization
Clarify lysate by centrifugation (20,000 × g, 30 min, 4°C)
Add ammonium sulfate to 40-60% saturation to precipitate the majority of protein contaminants while keeping CV_3095 in solution
Collect supernatant after centrifugation (15,000 × g, 20 min, 4°C)
If using MBP-tagged CV_3095:
Apply supernatant to MBP-Trap column
Wash extensively with binding buffer
Elute with 10 mM maltose
If using His-tagged CV_3095:
Apply supernatant to Ni-NTA column
Wash with increasing imidazole concentrations (10-40 mM)
Elute with 250 mM imidazole
Incubate with appropriate protease (TEV, PreScission, etc.)
Remove cleaved tag by reverse affinity chromatography
Apply protein to heparin column to remove remaining protein contaminants, truncated proteins, and nucleic acid contamination
Elute with a gradient of increasing NaCl concentration
Apply concentrated protein to Superdex 75 or similar column
Collect fractions containing pure CV_3095
Analyze purity by SDS-PAGE and Western blot
Expected yield: 1-9 mg of pure protein from 2 L of bacterial culture , with homogeneity >90% as assessed by SDS-PAGE.
Verification of purified recombinant CV_3095 should include multiple analytical approaches:
Identity Verification:
Mass Spectrometry Analysis:
N-terminal Sequencing:
Confirm the first 5-10 amino acids using Edman degradation
Verify proper processing of any signal peptide if present
Western Blot Analysis:
Use anti-His or anti-MBP antibodies (depending on tag used)
Consider developing antibodies against CV_3095 for future studies
Structural Integrity Assessment:
Circular Dichroism (CD) Spectroscopy:
Analyze secondary structure elements
Compare with CD profiles of related proteins if available
Thermal Shift Assay:
Determine protein stability and melting temperature
Useful for buffer optimization and storage condition determination
Size Exclusion Chromatography with Multi-Angle Light Scattering (SEC-MALS):
Determine oligomeric state and homogeneity
Verify absence of aggregation
Functional Characterization:
Since CV_3095 is an uncharacterized protein, functional assays may need to be developed based on:
Protein-Protein Interaction Studies:
Pull-down assays with C. violaceum lysate
Yeast two-hybrid screening
Surface plasmon resonance with potential binding partners
Enzymatic Activity Screening:
Test for common enzymatic activities (phosphatase, kinase, protease, etc.)
Substrate profiling if enzymatic function is suspected
Structural Studies:
X-ray crystallography or NMR studies for detailed structural information
In silico structural prediction and comparison with functionally characterized proteins
When designing experiments involving recombinant CV_3095, researchers should consider several critical factors to ensure meaningful and reproducible results:
Experimental Design Framework:
Define Clear Research Questions:
Formulate specific hypotheses about CV_3095 function
Design experiments with appropriate positive and negative controls
Consider pilot studies to optimize experimental conditions
Protein Stability Considerations:
Concentration and Stoichiometry:
Determine working concentration ranges based on estimated physiological levels
Consider protein concentration effects on oligomerization state
Calculate proper molar ratios for interaction studies
Methodological Approaches:
Functional Annotation Strategies:
Genomic context analysis (examining neighboring genes)
Phylogenetic profiling (correlation of gene presence across species)
Structural homology modeling to predict function
Localization Studies:
Generate fluorescent protein fusions for cellular localization in heterologous systems
Perform subcellular fractionation studies
Create antibodies against CV_3095 for immunolocalization
Interaction Network Mapping:
Conduct pull-down assays coupled with mass spectrometry
Perform bacterial two-hybrid screens
Consider proximity labeling approaches (BioID, APEX)
Phenotypic Analysis:
Generate knockout or knockdown strains of CV_3095 in C. violaceum
Assess phenotypic changes in growth, stress response, and virulence
Perform complementation studies to confirm phenotype specificity
Structural Biology Approaches:
Optimize conditions for crystal formation or NMR studies
Consider protein engineering to improve crystallization properties
Perform in silico structure prediction and validation
Proper experimental controls are essential for robust data interpretation in studies involving CV_3095:
Negative Controls:
Empty Vector Control:
Cells expressing the same vector backbone without the CV_3095 insert
Processed identically to experimental samples
Controls for effects of the expression system itself
Inactive Protein Variant:
If functional domains or critical residues are identified, create point mutants
Use heat-denatured CV_3095 as a control for activity assays
Consider scrambled peptide controls for binding studies
Unrelated Protein Control:
Use an unrelated protein of similar size and properties
Ideally another UPF family protein that lacks the hypothesized function
Processed using identical purification methods
Positive Controls:
Known Functional Homologs:
Include characterized proteins from the UPF0250 family if available
Use proteins with similar predicted structures or domains
Consider proteins with established functions in C. violaceum
Validated Interaction Partners:
If binding partners are identified, include known positive interactors
Use synthetic peptides corresponding to binding regions
Include established substrate analogs for enzymatic assays
Technical Controls:
Reproducibility Controls:
Perform biological replicates (different protein preparations)
Conduct technical replicates (multiple analyses of the same preparation)
Include internal standards for quantitative assays
System Validation Controls:
Use well-characterized protein pairs to validate interaction assays
Include enzyme/substrate pairs with known kinetics for activity assays
Develop standard curves for quantitative measurements
Contaminant Controls:
Test for the effects of potential contaminants (e.g., endotoxin)
Verify tag-only controls do not exhibit the observed activities
Perform mock purifications from non-expressing cells
Although the exact role of CV_3095 in Chromobacterium violaceum pathogenicity is not explicitly described in the search results, we can propose several hypotheses based on the known pathogenicity mechanisms of C. violaceum:
Potential Connections to Virulence Mechanisms:
Type III Secretion System (T3SS) Interactions:
C. violaceum possesses two T3SSs, with the Cpi-1 T3SS playing a pivotal role in host cell interactions . CV_3095 could potentially:
Function as a chaperone for T3SS effector proteins
Act as a regulatory protein controlling T3SS gene expression
Serve as an accessory protein in the T3SS machinery assembly
Participate in host cell recognition or adhesion processes
Inflammasome Interaction:
The Cpi-1 T3SS is recognized by the NLRC4 inflammasome in innate immune cells . CV_3095 might:
Modulate inflammatory responses by interfering with inflammasome assembly
Contribute to evasion of immune recognition
Participate in processes related to pyroptosis, which is a key event in C. violaceum clearance
Stress Response and Adaptation:
Small bacterial proteins often function in stress response pathways. CV_3095 could:
Facilitate adaptation to host environments
Participate in response to oxidative stress during infection
Enable survival under nutrient limitation within host cells
Experimental Approaches to Test These Hypotheses:
Gene Knockout Studies:
Generate CV_3095 deletion mutants in C. violaceum
Assess virulence in mouse infection models
Evaluate survival within macrophages or epithelial cells
Measure T3SS function in the absence of CV_3095
Protein Localization:
Determine if CV_3095 co-localizes with T3SS components
Assess whether CV_3095 is secreted during infection
Examine distribution during different stages of infection
Interaction Studies:
Perform pull-down assays with T3SS components
Conduct yeast two-hybrid screens with host proteins
Use bacterial two-hybrid systems to map bacterial protein interactors
Transcriptional Analysis:
Compare gene expression profiles between wild-type and CV_3095 mutants
Identify co-regulated genes during infection
Determine if CV_3095 expression changes during infection progression
Given the small size (89 amino acids, 10.156 kDa) of CV_3095, several structural biology techniques are particularly suitable:
X-ray Crystallography:
Advantages: High-resolution structural information, ability to see bound ligands
Approach:
Screen multiple crystallization conditions (sparse matrix approach)
Optimize promising conditions for crystal quality
Consider crystallizing with potential binding partners
Use MBP or other fusion tags as crystallization chaperones if direct crystallization fails
Employ selenomethionine incorporation for phase determination
Nuclear Magnetic Resonance (NMR) Spectroscopy:
Advantages: Solution structure, dynamic information, direct binding studies
Particularly suitable for CV_3095 due to its small size (optimal for proteins <20 kDa)
Approach:
Express 15N and 13C labeled protein for backbone and side-chain assignments
Collect HSQC, NOESY, and TOCSY experiments
Determine solution structure
Study protein dynamics through relaxation measurements
Perform titration experiments with potential binding partners
Cryo-Electron Microscopy (Cryo-EM):
Generally less suitable for proteins <50 kDa unless part of a larger complex
Consider if CV_3095 forms large oligomers or complexes with other proteins
Complementary Biophysical Techniques:
Small-Angle X-ray Scattering (SAXS):
Provides low-resolution envelope of protein in solution
Useful for studying oligomerization and conformational changes
Hydrogen-Deuterium Exchange Mass Spectrometry (HDX-MS):
Maps solvent-accessible regions and binding interfaces
Provides information on protein dynamics and conformational changes
Circular Dichroism (CD):
Assesses secondary structure composition
Monitors structural changes under different conditions
Molecular Dynamics (MD) Simulations:
Predicts dynamic behavior and conformational changes
Identifies potential binding pockets and functional regions
Structural Prediction and Analysis:
Employ AlphaFold2 or RoseTTAFold for initial structural predictions
Use predicted structures to guide experimental design
Perform conservation mapping across UPF0250 family members to identify functionally important residues
Investigating protein-protein interactions (PPIs) of CV_3095 requires a comprehensive approach combining multiple techniques:
In Vitro Interaction Methods:
Pull-down Assays:
Immobilize tagged CV_3095 as bait protein
Incubate with C. violaceum lysate or purified potential partners
Identify binding partners by mass spectrometry
Validate interactions with reciprocal pull-downs
Surface Plasmon Resonance (SPR):
Immobilize CV_3095 on sensor chip
Flow potential binding partners over the surface
Determine binding kinetics (kon, koff) and affinity (KD)
Perform competition experiments to map binding sites
Isothermal Titration Calorimetry (ITC):
Directly measure thermodynamic parameters of binding
Determine stoichiometry, binding constant, enthalpy, and entropy
No immobilization required, both proteins in solution
Microscale Thermophoresis (MST):
Label CV_3095 with fluorescent dye
Titrate with potential binding partners
Measure changes in thermophoretic mobility
Suitable for weak and transient interactions
In Vivo Interaction Methods:
Bacterial Two-Hybrid System:
Fuse CV_3095 to DNA-binding domain
Create library of prey proteins fused to activation domain
Screen for reporter gene activation indicating interaction
Particularly suitable for bacterial protein interactions
Proximity-Based Labeling:
Fuse CV_3095 to BioID or APEX2 enzymes
Express in C. violaceum or heterologous system
Identify proximal proteins through biotinylation and pulldown
Useful for capturing weak or transient interactions
Co-immunoprecipitation (Co-IP):
Express tagged CV_3095 in C. violaceum
Precipitate with tag-specific antibodies
Identify co-precipitating proteins by mass spectrometry
Validate with reciprocal Co-IPs
Computational Prediction Methods:
Interactome Prediction:
Use tools like STRING, STITCH, or PrePPI
Predict interactions based on genomic context, co-expression, and co-evolution
Prioritize candidates for experimental validation
Docking Studies:
Perform in silico docking with potential partners
Evaluate binding energy and interface complementarity
Guide mutagenesis studies to validate interactions
Interface Prediction:
Identify potential protein-protein interaction sites
Target conserved surface patches for mutagenesis
Design peptides to disrupt predicted interactions
Interaction Validation Strategies:
Mutagenesis:
Introduce point mutations at predicted interface residues
Assess effect on binding using methods above
Perform alanine scanning to map critical residues
Domain Mapping:
Create truncation variants of CV_3095
Determine minimal binding regions
Design peptide competitors based on binding regions
Troubleshooting poor expression or solubility of recombinant CV_3095 requires a systematic approach to identify and address specific issues:
Expression Troubleshooting:
Solubility Troubleshooting:
Advanced Strategies:
Fusion Tag Optimization:
Test multiple fusion tags (MBP, SUMO, GST, TRX)
Vary tag position (N-terminal vs. C-terminal)
Include flexible linkers between tag and CV_3095
Expression Strain Engineering:
Test multiple E. coli strains (BL21, C41/C43, SHuffle)
Consider expression in non-E. coli systems if persistent issues
Use strains with enhanced disulfide bond formation if necessary
Lysis Buffer Optimization:
Test additives that enhance solubility:
Sugars (glucose, sucrose)
Amino acids (arginine, glutamate)
Osmolytes (betaine, TMAO)
Non-detergent sulfobetaines (NDSB-201)
Refolding Strategies:
If inclusion bodies persist, develop refolding protocol:
Solubilize in 8M urea or 6M guanidine-HCl
Remove denaturant by dialysis or dilution
Add redox pairs for disulfide formation if needed
Use artificial chaperones to assist folding
Working with small proteins like CV_3095 (89 amino acids, 10.156 kDa) presents unique analytical challenges:
SDS-PAGE Analysis Challenges:
| Challenge | Causes | Solutions |
|---|---|---|
| Poor visualization | Low staining efficiency | Use specialized stains (SYPRO Ruby, silver stain) |
| Poor fixation | Increase fixation time, use glutaraldehyde | |
| Diffusion during staining | Shorter staining/destaining times | |
| Abnormal migration | Charge/size ratio effects | Use Tricine-SDS-PAGE instead of glycine systems |
| Post-translational modifications | Include urea in gels (Urea-PAGE) | |
| Interaction with gel matrix | Try different acrylamide percentages (15-20%) | |
| Band spreading | Overloading | Reduce sample volume and concentration |
| Salt effects | Desalt samples before loading |
Mass Spectrometry Challenges:
| Challenge | Causes | Solutions |
|---|---|---|
| Poor ionization | Low number of ionizable residues | Use specialized ionization techniques |
| Hydrophobicity | Add organic modifiers (acetonitrile, isopropanol) | |
| Signal suppression | Contaminants | Thoroughly desalt before analysis |
| Buffer incompatibility | Use volatile buffers (ammonium bicarbonate) | |
| Peptide identification | Few tryptic peptides | Use alternative proteases (Glu-C, Asp-N) |
| Short peptides below detection | Adjust search parameters for small peptides |
Size Exclusion Chromatography Challenges:
| Challenge | Causes | Solutions |
|---|---|---|
| Delayed elution | Matrix interaction | Add salt (150-300 mM NaCl) to mobile phase |
| Shape effects | Calibrate with proteins of similar shape | |
| Poor resolution | Column limitations | Use columns optimized for small proteins |
| Non-specific binding | Include additives (arginine, low % detergent) | |
| Multiple peaks | Oligomerization | Analyze with SEC-MALS to determine states |
| Conformational heterogeneity | Try different buffer conditions |
Western Blot Challenges:
| Challenge | Causes | Solutions |
|---|---|---|
| Poor transfer | Small size passing through membrane | Use PVDF with smaller pore size (0.2 μm) |
| Excessive transfer | Reduce transfer time or voltage | |
| Weak signal | Few epitopes | Use sensitive detection methods (ECL Plus) |
| Tag accessibility | Ensure tag is not buried or cleaved | |
| Non-specific binding | Antibody cross-reactivity | Use monoclonal antibodies if available |
| Membrane blocking issues | Try different blocking agents (milk vs. BSA) |
Advanced Analytical Approaches:
Native MS for Oligomeric State:
Maintain non-covalent interactions during ionization
Determine accurate masses of complexes
Assess binding of small molecules or metal ions
Ion-Mobility MS for Conformation:
Separate protein conformers based on shape
Detect subtle structural changes
Complement with hydrogen-deuterium exchange
Capillary Electrophoresis:
High-resolution separation based on charge/size
Minimal sample consumption
Can be coupled to MS for further analysis
Analytical Ultracentrifugation:
Direct measurement of molecular weight
Determination of oligomeric states
Analysis of shape parameters
Ensuring reproducibility in experiments involving CV_3095 requires careful attention to multiple factors:
Protein Production Reproducibility:
| Variable | Impact | Control Measures |
|---|---|---|
| Expression batch variation | Different activity/structure | Use consistent growth media lots |
| Standardize cell density at induction | ||
| Monitor growth curves for consistency | ||
| Purification inconsistency | Variable purity/yield | Document all chromatography parameters |
| Use automated systems when possible | ||
| Establish acceptance criteria for purity | ||
| Storage stability | Activity loss | Determine optimal storage conditions |
| Aliquot to avoid freeze-thaw cycles | ||
| Include stability indicators in QC |
Experimental Design Reproducibility:
| Factor | Impact | Best Practices |
|---|---|---|
| Protocol variations | Inconsistent results | Create detailed SOPs with all parameters |
| Record any deviations from protocols | ||
| Use checklists to ensure consistency | ||
| Reagent variability | Altered activity measurements | Use same lot numbers when possible |
| Qualify new reagent lots before use | ||
| Prepare master mixes for critical components | ||
| Equipment differences | Method-dependent results | Calibrate instruments regularly |
| Include calibration standards | ||
| Perform method transfer validation |
Data Analysis Reproducibility:
Systematic Approach to Reproducibility:
Quality Control Measures:
Develop specific QC assays for CV_3095:
Activity assay (once function is determined)
Thermal stability (Tm) measurement
SEC profile for aggregation assessment
Establish acceptance criteria for experiments
Maintain reference standards from successful preparations
Experimental Design Practices:
Use randomization to minimize bias
Include internal references across experiments
Blind analysis when possible
Perform power calculations to determine sample size
Laboratory Information Management:
Use electronic lab notebooks with version control
Implement sample tracking systems
Store metadata with experimental results
Document all environmental conditions
Cross-validation Approaches:
Verify key findings with orthogonal methods
Test reproducibility across different operators
Consider independent replication in collaborating labs