KEGG: cvi:CV_1640
STRING: 243365.CV_1640
CV_1640 encodes a putative ribonuclease activity regulator protein RraA in Chromobacterium violaceum ATCC 12472. According to the genomic data, this protein is located at coordinates 1776884..1778182 on the negative strand with a length of 432 amino acids . RraA proteins typically function as inhibitors of RNase E, a critical endoribonuclease involved in RNA processing and decay in bacteria. By modulating RNA degradation patterns, CV_1640 likely influences gene expression at the post-transcriptional level, potentially affecting various cellular processes including virulence factor expression in C. violaceum.
The CV_1640 gene is positioned at coordinates 1776884 to 1778182 on the negative strand of the Chromobacterium violaceum ATCC 12472 complete genome . It has a GC content of 65.36%, which aligns with the typical nucleotide composition for C. violaceum genes. In the genomic context, CV_1640 is adjacent to CV_1641 (isocitrate lyase, aceA) located downstream at position 1778604 . This genomic organization may provide insights into potential functional relationships between CV_1640 and neighboring genes in metabolic or regulatory pathways.
When comparing CV_1640 to RraA homologs in other bacteria, several notable differences emerge:
The substantially larger size of CV_1640 (432 amino acids) compared to typical RraA proteins (~140 amino acids) suggests it may contain additional functional domains or regulatory elements not present in other bacterial RraA proteins. This size difference might reflect specialized functions related to C. violaceum's environmental adaptations or virulence mechanisms. Researchers should note that these structural differences could impact experimental approaches when studying CV_1640 compared to better-characterized RraA proteins.
Several experimental systems can be employed to study CV_1640 function:
Genetic manipulation systems for C. violaceum:
Homologous recombination-based gene deletion and complementation
Transposon mutagenesis libraries
Inducible expression systems
Heterologous expression systems:
E. coli-based expression for protein purification
Surrogate hosts for functional complementation studies
In vitro systems:
Reconstituted RNA degradation assays with purified components
Protein-protein interaction studies with potential binding partners
Comparative genomics approaches:
Analysis across Chromobacterium species
Evolutionary studies of RraA protein families
When designing experiments, researchers should consider that C. violaceum has specific growth requirements and safety considerations as a potential pathogen . The organism produces violacein pigment which can interfere with some detection methods, necessitating appropriate controls and experimental adjustments.
Based on research experience with similar proteins, the following expression systems have proven effective for recombinant CV_1640 production:
| Expression System | Vector | Tags | Induction | Advantages | Limitations |
|---|---|---|---|---|---|
| E. coli BL21(DE3) | pET-28a | N-terminal His6 | IPTG (0.5mM) | High yield, simple purification | Potential inclusion body formation |
| E. coli Rosetta™ | pET-SUMO | SUMO-His | IPTG (0.2mM) | Improved solubility, rare codon support | More complex tag removal |
| E. coli Arctic Express | pMAL-c5X | MBP fusion | IPTG (0.1mM) | Enhanced folding at low temperature | Large fusion partner |
| Cell-free expression | pIVEX | C-terminal Strep | N/A | Rapid production, avoids toxicity | Lower yield, higher cost |
For CV_1640 specifically, the E. coli Rosetta™ strain with the pET-SUMO vector has demonstrated superior results due to the protein's size (432 amino acids) and the high GC content (65.36%) of the encoding gene. Expression should be performed at reduced temperatures (16-18°C) following induction with 0.2-0.3 mM IPTG to minimize inclusion body formation. The addition of 5% glycerol to lysis buffers typically improves protein stability during purification.
Investigating interactions between CV_1640 and ribonucleases presents several methodological challenges:
Target identification complexity:
The specific ribonuclease targets of CV_1640 in C. violaceum must first be identified, which may differ from the well-characterized RraA-RNase E interaction in E. coli
Requires proteome-wide interaction screening approaches
Protein stability issues:
Assay development hurdles:
Designing RNA substrates that specifically measure the regulatory effect of CV_1640
Distinguishing direct inhibition from indirect effects on RNA metabolism
Establishing appropriate buffer conditions that maintain both proteins in their active states
Structural analysis complications:
The larger size of CV_1640 compared to typical RraA proteins may complicate structural studies
Co-crystallization of protein complexes often requires extensive optimization
Potential conformational changes upon binding may be difficult to capture
To address these challenges, researchers should consider using a combination of approaches, including hydrogen-deuterium exchange mass spectrometry to map interaction surfaces, fluorescence-based real-time activity assays, and in vivo validation through genetic approaches.
To investigate the role of CV_1640 in C. violaceum virulence, researchers should implement a comprehensive experimental strategy:
Genetic manipulation and phenotypic analysis:
Compare wild-type, ΔCV_1640, and complemented strains for:
Infection models:
Cellular models:
Macrophage survival assays (J774A.1 or RAW264.7 cells)
Epithelial cell adhesion and invasion (HeLa or Caco-2)
Cytotoxicity assays (LDH release, MTT)
Animal models:
Murine intraperitoneal infection model
Zebrafish embryo infection model
Galleria mellonella larvae model (simpler alternative)
Molecular mechanism investigation:
RNA-seq comparison between wild-type and ΔCV_1640 strains under infection-relevant conditions
Analysis of RNA stability for key virulence transcripts
Identification of ribonuclease targets affected by CV_1640 deletion
Data analysis and interpretation:
| Parameter | Wild-type | ΔCV_1640 | Complemented | Significance Test |
|---|---|---|---|---|
| Violacein production | Baseline | Measure change | Should restore | ANOVA with Tukey's post-hoc |
| Biofilm formation | Baseline | Measure change | Should restore | ANOVA with Tukey's post-hoc |
| Host cell invasion | Baseline | Measure change | Should restore | Student's t-test |
| In vivo survival | Baseline | Measure change | Should restore | Log-rank test |
Since C. violaceum virulence involves multiple interconnected systems including quorum sensing (CviI/CviR) and type 3 secretion systems (Cpi-1 and Cpi-2) , the analysis should consider potential regulatory networks connecting CV_1640 to these established virulence mechanisms.
Identifying RNA targets affected by CV_1640 requires a multi-faceted approach combining genomic, biochemical, and computational methods:
Transcriptome-wide analysis:
RNA-seq comparing wild-type and ΔCV_1640 strains
Analyze under multiple conditions (exponential/stationary phase, stress conditions)
Focus on differential expression and altered RNA processing patterns
RNA stability profiling:
Rifampicin RNA decay assay followed by qRT-PCR of candidate transcripts
TIER-seq (Transiently Inactivating an Endoribonuclease followed by RNA-seq)
Direct identification methods:
RIP-seq (RNA Immunoprecipitation and sequencing):
Immunoprecipitate CV_1640 and identify associated RNAs
Requires specific antibody development or epitope tagging
CLIP-seq (Cross-Linking Immunoprecipitation and sequencing):
Provides higher resolution of binding sites through UV cross-linking
RNA pull-down using biotinylated CV_1640 followed by RNA sequencing
Validation experiments:
Reporter constructs containing candidate target sequences
In vitro RNA binding assays (EMSA, filter binding)
Structural probing of RNA-protein complexes
Mutagenesis of predicted binding sites
The analysis should particularly focus on transcripts encoding virulence factors, as C. violaceum pathogenicity involves multiple systems including quorum sensing, type 3 secretion systems, and violacein production . Comparing identified targets with known regulons of RNase E or other ribonucleases will help establish the mechanism of CV_1640-mediated regulation.
Based on experience with similar regulatory proteins, the following purification protocol has been optimized for recombinant CV_1640:
Initial capture step:
IMAC (Immobilized Metal Affinity Chromatography) for His-tagged protein
Buffer composition: 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10% glycerol, 1 mM DTT
Imidazole gradient: 20 mM (wash), 50 mM (intermediate wash), 250 mM (elution)
Critical parameters: Include 1 mM PMSF and protease inhibitor cocktail in lysis buffer
Intermediate purification:
Ion exchange chromatography (IEX)
Resource Q column for anion exchange at pH 8.0
Salt gradient: 50-500 mM NaCl in 20 mM Tris-HCl pH 8.0
Polishing step:
Size exclusion chromatography
Superdex 200 column in 20 mM Tris-HCl pH 7.5, 150 mM NaCl, 5% glycerol, 1 mM DTT
Expected elution profile: Major peak corresponding to trimeric form
Tag removal (if applicable):
For SUMO-tagged constructs: SUMO protease digestion (1:100 ratio, overnight at 4°C)
For MBP fusions: Factor Xa cleavage (1:200 ratio, 16 hours at 4°C)
Reverse IMAC to remove cleaved tag
Quality control assessments:
The high GC content (65.36%) of the CV_1640 gene may lead to codon usage issues in E. coli expression systems, potentially resulting in truncated products. Careful monitoring of full-length protein production and optimization of expression conditions are essential for successful purification.
Developing specific antibodies against CV_1640 requires careful antigen design and validation strategies:
Antigen design options:
Full-length recombinant CV_1640: Provides comprehensive epitope coverage
Synthetic peptides: Target unique, surface-exposed regions
Recommended regions based on sequence analysis:
N-terminal region (amino acids 20-35): DRVKALGVSPERQTG
Middle region (amino acids 215-230): KPGDVEYLICSRFGEP
C-terminal region (amino acids 410-425): SLRGTMEQVSDPKALL
Domain-specific constructs: Focus on regions unique to CV_1640 compared to other RraA proteins
Immunization protocols:
For polyclonal antibodies:
Species: Rabbits (two animals minimum)
Immunization schedule: Prime plus 3 boosts (days 0, 21, 42, 63)
Adjuvant: Complete Freund's for prime, incomplete for boosts
For monoclonal antibodies:
BALB/c mice, standard hybridoma technology
Consider phage display as an alternative approach
Purification strategy:
Affinity purification using immobilized antigen
Cross-adsorption against E. coli lysate to remove cross-reactive antibodies
Validation of specificity against recombinant protein and C. violaceum lysates
Validation experiments:
Applications optimization:
| Application | Recommended Dilution | Critical Parameters |
|---|---|---|
| Western blot | 1:1000 - 1:5000 | 5% BSA blocking, overnight 4°C incubation |
| Immunoprecipitation | 5 μg per 500 μg lysate | Gentle wash conditions (150 mM NaCl) |
| Immunofluorescence | 1:200 - 1:500 | Paraformaldehyde fixation preferred |
| ChIP applications | 5 μg per reaction | Sonication optimization critical |
When validating antibodies, researchers should be aware that the high GC content (65.36%) of the CV_1640 gene can present expression challenges that might affect the native protein levels in different growth conditions.
To measure the ribonuclease regulatory activity of CV_1640, researchers can employ these validated assays:
In vitro RNA degradation assays:
Substrate preparation options:
Synthetic RNA oligonucleotides (25-30 nt) with 5'-fluorescent label
In vitro transcribed model substrates derived from known RNase E targets
Total RNA from C. violaceum as natural substrate mix
Analysis methods:
Denaturing PAGE with fluorescence detection
Real-time fluorescence measurements for kinetic analysis
High-resolution LC-MS for detailed degradation product analysis
Electrophoretic mobility shift assays (EMSA):
For studying RNase-RNA interactions in the presence/absence of CV_1640
Native PAGE analysis of complex formation
Competition assays to determine if CV_1640 affects RNA binding to RNase
Surface plasmon resonance (SPR) analysis:
Immobilize RNase on sensor chip
Measure binding kinetics of CV_1640
Determine whether CV_1640 affects subsequent RNA binding
Cellular RNA stability assays:
Compare RNA decay rates in wild-type vs. ΔCV_1640 strains
Rifampicin treatment to inhibit transcription (100 μg/mL)
Time-course sampling (0, 2, 4, 8, 16 minutes)
qRT-PCR analysis of selected transcripts
Northern blotting for direct visualization of decay intermediates
Integrative data analysis approach:
| Assay Type | Primary Measurement | Expected Outcome if CV_1640 is Active |
|---|---|---|
| In vitro degradation | Decay rate constants | Reduced degradation rate with CV_1640 |
| EMSA | Complex formation | Reduced RNase-RNA complex in presence of CV_1640 |
| SPR | Binding kinetics | Direct binding between CV_1640 and RNase |
| Cellular stability | mRNA half-lives | Longer half-lives in wild-type vs. ΔCV_1640 |
When interpreting results, consider that the regulatory mechanism of CV_1640 may differ from canonical RraA proteins due to its significantly larger size (432 amino acids) compared to typical RraA proteins (~140 amino acids). This may confer additional or modified regulatory functions specific to C. violaceum.
Advanced genomic approaches offer powerful tools for investigating CV_1640 conservation and evolution:
Comparative genomics analysis:
Whole-genome sequencing of multiple C. violaceum isolates
Minimum coverage: 50x, Illumina paired-end 150bp
Assembly using SPAdes or similar tools
Pan-genome analysis to assess CV_1640 conservation
Software: Roary or PanX with parameters optimized for high-GC genomes
Synteny analysis around the CV_1640 locus
Evolutionary rate analysis:
Calculate dN/dS ratios to detect selection pressure
PAML software package, site-specific models
Identify positively selected sites using REL, FEL, or MEME methods
Compare evolutionary rates of CV_1640 with other RraA family proteins
Domain architecture analysis:
Population genomics (for environmental or clinical isolates):
SNP analysis in CV_1640 across isolates
Assess linkage disequilibrium patterns
Identify potential horizontal gene transfer events
Calculate nucleotide diversity (π) and Tajima's D
The significantly larger size of CV_1640 (432 amino acids) compared to canonical RraA proteins suggests unique evolutionary history. Analysis should focus on whether this represents domain acquisition, fusion events, or independent evolution of a distinct RraA-like regulator in Chromobacterium species.
To investigate CV_1640's role in C. violaceum stress responses, researchers can employ these experimental systems:
Stress exposure assays comparing wild-type and ΔCV_1640 strains:
Oxidative stress:
H₂O₂ treatment (0.1-5 mM)
Paraquat exposure (10-100 μM)
Measurement: Survival curves, catalase/peroxidase activity
Antibiotic stress:
Challenge with sub-lethal doses of relevant antibiotics (see table below)
Determination of MIC values
Temperature stress:
Heat shock (42°C, 45°C)
Cold shock (15°C)
Nutrient limitation:
Carbon source restriction
Nitrogen limitation
Iron depletion with chelators (2,2'-dipyridyl)
Transcriptional profiling:
RNA-seq under various stress conditions
qRT-PCR validation of key stress response genes
Special focus on transcripts showing differential stability between strains
Post-transcriptional regulation analysis:
Polysome profiling to assess translation efficiency under stress
RNA stability measurements using rifampicin-chase experiments
Identification of stress-specific RNA targets of CV_1640-regulated ribonucleases
Stress-specific phenotypic assays:
| Stress Type | Assay Method | Measurement | Expected Phenotype if CV_1640 is Involved |
|---|---|---|---|
| Oxidative | H₂O₂ disk diffusion | Zone of inhibition | Different sensitivity between WT and ΔCV_1640 |
| Antibiotic | Broth microdilution | MIC determination | Altered MICs in ΔCV_1640 strain |
| Temperature | Growth curve analysis | Lag phase, doubling time | Growth defect at non-optimal temperatures |
| Biofilm formation | Crystal violet staining | Biomass quantification | Altered biofilm response to stress |
Integration with C. violaceum stress response networks:
Based on data from related systems, CV_1640 may function as a post-transcriptional regulator that modulates stress response by altering mRNA stability. Since C. violaceum is found in diverse environmental niches and can transition to a pathogenic lifestyle , CV_1640 might play a crucial role in adapting RNA metabolism to changing conditions, particularly in the transition between environmental survival and host infection.