RNase III in C. violaceum is integral to RNA metabolism:
rRNA and tRNA Processing: Processes precursor rRNA transcripts from eight rRNA operons and 98 tRNA genes into mature forms .
Gene Regulation: Modulates mRNA stability and translation efficiency by cleaving dsRNA structures in untranslated regions (UTRs) . For example, RNase III autoregulates its own expression by cleaving its mRNA .
Antibiotic Response: While not directly linked to antibiotic resistance in C. violaceum, RNase III homologs in other bacteria influence stress-response pathways .
Recombinant RNase 3 is utilized in:
Mechanistic Studies: Investigating dsRNA cleavage kinetics and substrate specificity .
RNA Maturation Pathways: Elucidating rRNA and tRNA processing in proteobacteria .
Gene Expression Models: Serving as a comparator for RNase III homologs in pathogens like E. coli and Streptomyces .
The enzyme is commercially available (Product Code: CSB-EP762950CKA) with the following specifications :
| Parameter | Detail |
|---|---|
| Expression System | E. coli |
| Purity | >85% (verified by SDS-PAGE) |
| Activity Assays | dsRNA cleavage assays under standard conditions |
Recent studies highlight its functional conservation and unique attributes:
Substrate Specificity: Recombinant C. violaceum RNase III cleaves canonical dsRNA substrates, similar to E. coli RNase III .
Regulatory Role: In C. violaceum, RNase III indirectly influences quorum sensing by processing RNAs involved in violacein biosynthesis .
Evolutionary Insight: The enzyme’s structure provides clues about the divergence of RNase III family members across bacterial lineages .
KEGG: cvi:CV_2066
STRING: 243365.CV_2066
Chromobacterium violaceum Ribonuclease 3 (rnc) is an endoribonuclease (EC 3.1.26.3) that specifically cleaves double-stranded RNA structures. The full-length protein consists of 236 amino acids with a sequence beginning with MTQIDNRFRR and ending with ASKKRS . RNase III belongs to a conserved family of enzymes found across bacterial species that play crucial roles in RNA processing and maturation, including rRNA processing, mRNA decay, and post-transcriptional gene regulation. In C. violaceum, rnc likely participates in the regulation of gene expression networks that contribute to the organism's environmental adaptability and occasional pathogenicity.
C. violaceum rnc shares the characteristic domain architecture of bacterial RNase III enzymes, featuring:
N-terminal catalytic domain responsible for dsRNA cleavage activity
C-terminal dsRNA-binding domain (dsRBD) that facilitates substrate recognition
The amino acid sequence reveals conserved motifs typical of bacterial RNase III enzymes, including the catalytic residues in the RNase III domain (ERFEFVGDSIL) and the signature dsRNA-binding motif . Comparative analysis with other bacterial RNase III enzymes shows that while core functional regions remain conserved, C. violaceum rnc contains unique sequence elements that may reflect specialized regulatory functions in this organism's distinctive environmental niche, potentially related to its violacein production and stress response systems .
Ribonuclease 3 likely plays a significant role in C. violaceum's adaptive responses through post-transcriptional regulation. C. violaceum possesses extensive mechanisms for stress adaptation and widespread utilization of quorum sensing for controlling inducible systems . Global transcriptional regulators like OsbR control oxidative stress responses, biofilm formation, and anaerobic respiration . In this complex regulatory network, rnc may process structured RNA elements to fine-tune gene expression.
Research suggests that rnc could potentially interact with:
Quorum sensing systems that regulate violacein production and virulence factors
RNA secondary structures in transcripts related to stress response
Regulatory RNAs involved in antibiotic resistance mechanisms
The organism's ability to respond to environmental challenges like oxidative stress, antibiotic exposure, and changes in nutrient availability may partly depend on post-transcriptional mechanisms mediated by rnc.
Expression optimization for recombinant C. violaceum rnc requires careful consideration of several parameters:
Expression System Selection:
E. coli systems with pET vectors often yield good results for bacterial RNases
Consider codon optimization when expressing in heterologous hosts
Expression Conditions:
| Parameter | Recommended Range | Considerations |
|---|---|---|
| Induction temperature | 16-25°C | Lower temperatures reduce inclusion body formation |
| Induction duration | 4-16 hours | Monitor by SDS-PAGE for optimal yield |
| Inducer concentration | 0.1-1.0 mM IPTG (for E. coli) | Optimize to prevent toxicity |
| OD600 at induction | 0.6-0.8 | Mid-log phase typically optimal |
Purification Approach:
Affinity chromatography with His-tag or other fusion tags
Consider tag position (N- vs C-terminal) as it may affect activity
Include RNase inhibitors during early purification steps
Final purification yields should achieve >85% purity as verified by SDS-PAGE
Storage Conditions:
Avoid repeated freeze-thaw cycles
Store working aliquots at 4°C for up to one week
Long-term storage at -20°C/-80°C with 5-50% glycerol (50% recommended)
Reconstitute lyophilized preparations to 0.1-1.0 mg/mL in deionized sterile water
Several complementary approaches can be employed to evaluate the enzymatic activity of recombinant C. violaceum rnc:
1. Gel-based dsRNA Cleavage Assay:
Generate defined dsRNA substrates (300-500 bp) through in vitro transcription
Incubate with purified rnc in buffer containing Mg2+ (essential cofactor)
Analyze cleavage patterns via denaturing PAGE
Include positive control (commercial RNase III) and negative control (buffer only)
2. FRET-based Real-time Assays:
Use fluorescently labeled RNA substrates with quencher and fluorophore
Monitor release of fluorescence as cleavage occurs
Enables kinetic analysis (Km, Vmax, kcat determination)
3. In vivo Complementation Testing:
Transform E. coli rnc-deficient strains with C. violaceum rnc
Assess restoration of phenotypes like rRNA processing
Monitor growth characteristics in different media conditions
4. Substrate Specificity Analysis:
Test activity against various double-stranded RNA structures
Compare processing efficiency of different RNA stem-loops
Analyze substrate requirements (minimum length, sequence preferences)
When measuring activity, it's crucial to use RNase-free conditions throughout and consider that C. violaceum's environmental adaptability may have conferred unique substrate preferences to its RNase III compared to better-characterized homologs.
Violacein production in C. violaceum is regulated by complex quorum sensing systems and responds to environmental stimuli including sublethal concentrations of translation-inhibiting antibiotics . While no direct evidence links rnc to violacein regulation in the search results, several mechanistic hypotheses warrant investigation:
Potential RNA Processing Mechanisms:
Processing of vioS mRNA: The negative regulator VioS represses violacein production . rnc could potentially modulate VioS expression levels by processing stem-loop structures in vioS mRNA.
Regulation of CviR/CviI system: The CviR/CviI quorum sensing system activates violacein production . rnc might process polycistronic transcripts containing these genes or their regulatory RNAs.
Processing of the air system transcripts: The recently identified antibiotic-induced response (air) two-component regulatory system is required for violacein induction by translation-inhibiting antibiotics . rnc could regulate the stability of these transcripts.
Experimental Approach to Test These Hypotheses:
Generate an rnc knockout strain and assess changes in violacein production
Perform RNA-seq to identify differentially processed transcripts
Use CLIP-seq (crosslinking immunoprecipitation) to identify direct rnc targets
Analyze the secondary structure of regulatory RNAs in the violacein pathway
The connection between translational inhibition and violacein production suggests a potential role for post-transcriptional regulation, which might involve rnc activity as part of the cell's adaptive response mechanisms.
C. violaceum possesses complex systems for stress adaptation and can cause rare but deadly infections in humans . rnc may contribute to these processes through several mechanisms:
Oxidative Stress Response:
C. violaceum utilizes multiple regulatory systems, including OsbR, to control oxidative stress responses . rnc might regulate these pathways by:
Processing mRNAs encoding stress response proteins
Regulating small regulatory RNAs involved in adaptation to oxidative damage
Modulating the stability of transcripts encoding detoxification enzymes
Virulence Regulation:
The high fatality rate of C. violaceum infections suggests sophisticated virulence mechanisms that could involve rnc:
Processing transcripts encoding virulence factors
Regulating expression of secretion system components
Modulating biofilm formation through RNA processing
Environmental Adaptation:
C. violaceum's genome reveals extensive alternative pathways for energy generation and complex systems for environmental adaptation . rnc might facilitate rapid metabolic shifts through:
Differential processing of polycistronic operons
Regulation of transcripts involved in alternative energy pathways
Processing of mRNAs encoding transport proteins
Research Methodology:
To investigate these roles, researchers should consider:
Comparative transcriptomics between wild-type and rnc mutants under various stress conditions
In vitro processing assays with specific stress-responsive transcripts
Virulence studies in animal models comparing wild-type and rnc mutant strains
RNase III binding site analysis across the transcriptome
Identifying the complete set of RNAs regulated by C. violaceum rnc requires a multi-faceted approach combining genomic, transcriptomic, and biochemical methods:
1. Transcriptome-wide Analyses:
RNA-seq of rnc knockout vs. wild-type: Compare RNA profiles under different growth conditions (standard, oxidative stress, antibiotic exposure)
Termini-seq: Identify specific RNA cleavage sites genome-wide by capturing 5' ends generated by processing
Structure-seq: Map RNA secondary structures across the transcriptome to identify potential rnc targets
2. Direct Target Identification:
CLIP-seq (Crosslinking Immunoprecipitation): Use antibodies against tagged rnc to capture RNAs directly bound by the enzyme
In vitro processing assays: Test candidate substrates identified from computational predictions
3. Computational Approaches:
Predict dsRNA structures across the transcriptome
Identify conserved RNA motifs in differentially processed transcripts
Compare with known RNase III target motifs from related bacteria
4. Functional Validation:
Mutate predicted cleavage sites in candidate targets and assess processing
Perform complementation studies with catalytically inactive rnc variants
Analyze phenotypic consequences of preventing specific RNA processing events
Data Integration Framework:
The comprehensive regulon should be analyzed in the context of C. violaceum's global regulatory networks, including:
Investigating the relationship between rnc and quorum sensing systems requires carefully designed experiments that bridge RNA processing and bacterial communication networks:
1. Genetic Approach:
Generate single and double mutants: Δrnc, ΔcviI, ΔcviR, and combinations
Construct reporter strains with fluorescent proteins under control of quorum-regulated promoters
Create complementation strains with wild-type and catalytically inactive rnc
2. Biochemical Analysis:
Perform in vitro processing assays with rnc on quorum sensing-related transcripts
Analyze CviI/CviR protein levels in wild-type vs. Δrnc backgrounds
Measure AHL (acyl-homoserine lactone) production in wild-type vs. Δrnc strains
3. Transcriptomic Studies:
Compare RNA-seq profiles of wild-type, Δrnc, and quorum sensing mutants
Analyze specifically for alterations in RNA processing patterns of quorum-regulated genes
Identify differentially expressed small RNAs that might function in regulatory networks
4. Phenotypic Characterization:
5. Temporal Dynamics:
Monitor RNA processing events during growth phase transitions
Analyze rnc activity at different cell densities (correlating with QS activation)
Study the kinetics of violacein production in response to antibiotics in WT vs. Δrnc strains
This experimental framework should provide insights into whether rnc functions upstream, downstream, or independently of quorum sensing pathways, potentially revealing novel regulatory mechanisms in C. violaceum's complex response networks.
C. violaceum has significant biotechnological potential , and its rnc may offer unique properties for various applications:
RNA Processing Tools:
Development of novel RNA processing enzymes with unique specificity profiles
Creation of tools for targeted RNA degradation in synthetic biology applications
Design of ribozyme-based biosensors using rnc recognition motifs
Antimicrobial Development:
C. violaceum produces several antimicrobial compounds , and understanding rnc's role in their regulation could lead to:
Enhanced production strategies for violacein and other antimicrobials
Development of novel antibiotics targeting bacterial RNase III
Engineering of C. violaceum strains with increased antimicrobial production
Stress Response Applications:
Given the organism's extensive stress adaptation systems , rnc could be involved in:
Engineered biosensors for environmental pollutants
Stress-resistant bacterial chassis for bioremediation applications
RNA-based regulatory circuits for controlled gene expression under stress
Research Methodology:
Investigating these applications requires:
Detailed biochemical characterization of rnc substrate preferences
Structure determination of C. violaceum rnc (X-ray crystallography or cryo-EM)
Engineering rnc variants with altered specificity through directed evolution
Development of high-throughput screening systems for rnc activity
Advanced computational methods can reveal potential regulatory functions of C. violaceum rnc and guide experimental investigations:
1. Structural Prediction and Analysis:
Predict RNA secondary structures throughout the C. violaceum transcriptome
Identify consensus structural motifs that may serve as rnc recognition sites
Model the interaction between rnc and predicted substrate RNAs
2. Comparative Genomics Approaches:
Analyze conservation of potential rnc target sites across related bacterial species
Identify co-evolution patterns between rnc and its potential regulons
Compare with known RNase III regulatory networks in model organisms
3. Network Analysis Methods:
Construct regulatory networks integrating transcriptomics, proteomics, and metabolomics data
Apply machine learning to identify patterns consistent with post-transcriptional regulation
Develop predictive models for rnc-mediated responses to environmental stimuli
4. Molecular Dynamics Simulations:
Model rnc interactions with target RNAs at the atomic level
Predict effects of mutations on substrate recognition and catalysis
Design modified rnc variants with altered substrate specificity
Implementation Framework:
Start with genome-wide prediction of structured RNA elements
Filter candidates based on:
Presence in transcripts related to stress response, quorum sensing, or virulence
Conservation across Chromobacterium species
Structural similarity to known RNase III substrates
Rank predictions based on integrated scoring system
Validate top candidates experimentally
These computational approaches can significantly accelerate discovery by focusing experimental efforts on the most promising regulatory interactions involving C. violaceum rnc.