RNase III is a conserved endoribonuclease that cleaves double-stranded RNA (dsRNA) and plays critical roles in:
Ribosome biogenesis: Processing rRNA precursors and regulating ribosomal RNA maturation .
Gene regulation: Degrading mRNA or non-coding RNAs to modulate virulence factors .
Stress response: Participating in bacterial adaptation to environmental changes .
In H. somni, RNase III may indirectly influence virulence by regulating transcripts linked to biofilm formation or host immune evasion, as seen in related pathogens .
A proteomic study of Haemophilus ducreyi (Table 1) highlights RNase III (Rnc) as part of the transcriptional machinery, with altered expression under stress conditions :
| Protein | Function | Fold Change | Role in Pathogenesis |
|---|---|---|---|
| Rnc (RNase III) | RNA processing, antitermination | ND* | Regulates virulence transcripts |
*ND: Not determined in this study, but linked to ribosomal protein modulation .
In H. somni, transcriptomic analyses reveal that luxS (a quorum-sensing gene) modulates ribosomal gene expression during biofilm formation , suggesting potential cross-talk with RNase III-mediated RNA processing.
While no direct data exists for H. somni RNase III, recombinant outer membrane proteins (OMPs) like OMP40 and p31/p40 lipoproteins have been successfully produced in E. coli systems . Key steps include:
Cloning: Using plasmids (e.g., pET-22b+) with optimized restriction sites (NcoI/XhoI) .
Expression: Autoinduction protocols in E. coli C41 strains to maximize soluble protein yield .
Purification: Affinity chromatography (e.g., His-tag systems) .
Hypothetically, H. somni RNase III would require similar strategies, given its conserved dsRNA-binding domain (dsRBD) .
Recombinant H. somni proteins (e.g., OMP40) elicit strong IgG responses in cattle, with cross-reactivity against other Gram-negative pathogens . RNase III’s conserved structure could make it a candidate for broad-spectrum vaccines, though this remains untested.
Functional Characterization: Role of RNase III in H. somni biofilm formation or intracellular survival .
Structural Studies: AlphaFold predictions for H. somni RNase III could guide mutagenesis experiments .
Therapeutic Targeting: Small-molecule inhibitors of RNase III might disrupt bacterial RNA processing .
KEGG: hsm:HSM_0838
Haemophilus somnus Ribonuclease 3 (encoded by the rnc gene) is an endoribonuclease that specifically cleaves double-stranded RNA structures. This enzyme belongs to the RNase III family and plays critical roles in RNA processing and gene expression regulation. In bacterial physiology, RNase III participates in:
Processing of ribosomal RNA precursors
Maturation of transfer RNA molecules
Post-transcriptional regulation of messenger RNAs
Processing of small regulatory RNAs that control gene expression
The enzyme likely influences pathogenesis mechanisms in H. somnus, potentially regulating virulence factors that contribute to bovine respiratory disease (BRD), similar to how other bacterial components affect virulence. H. somnus, now often referred to as Histophilus somni, is an economically important pathogen of cattle and a key component of BRD, which causes significant economic losses in the livestock industry .
For rigorous characterization of recombinant H. somnus RNase III enzymatic activity, several complementary approaches are recommended:
Gel-based assays:
Incubate the enzyme with defined dsRNA substrates
Analyze cleavage products using denaturing polyacrylamide gel electrophoresis
Visualize with ethidium bromide, SYBR Green, or using 5'-end labeled substrates
Fluorescence-based real-time assays:
Utilize fluorophore-quencher labeled synthetic dsRNA substrates
Monitor fluorescence increase as substrate is cleaved
Generate kinetic parameters (Km, Vmax, kcat) under varying conditions
Biochemical characterization:
Determine optimal buffer conditions (pH 7.5-8.0 typically optimal)
Assess divalent metal ion requirements (Mg²⁺ is generally preferred)
Evaluate ionic strength effects on activity
Test temperature and stability parameters
Substrate specificity analysis:
Compare cleavage efficiency across substrate variants
Map cleavage sites using primer extension or RNA sequencing
Determine sequence and structural requirements for optimal activity
These approaches provide complementary data that collectively characterize the enzyme's biochemical properties, allowing researchers to optimize conditions for subsequent experimental applications.
Several expression systems can be employed for recombinant H. somnus RNase III production, each with specific advantages:
Bacterial Expression Systems:
| Expression System | Features | Considerations |
|---|---|---|
| E. coli BL21(DE3) | High yield, simple setup | Limited post-translational modifications |
| E. coli Rosetta | Supplies rare codons often present in H. somnus | Improved expression of AT-rich bacterial genes |
| E. coli ArcticExpress | Low-temperature expression (4-12°C) | Better folding for challenging proteins |
| E. coli SHuffle | Enhanced disulfide bond formation | Useful if RNase III contains disulfide bonds |
Expression Strategy Recommendations:
Utilize a pET-based vector system with an inducible T7 promoter
Include a C-terminal His-tag for purification (N-terminal tags may interfere with activity)
Express at reduced temperatures (16-25°C) to enhance solubility
Use lower IPTG concentrations (0.1-0.5 mM) for induction
Supplement growth media with 2% glucose to reduce basal expression
This approach mirrors successful strategies used for other H. somnus recombinant proteins, where primers were designed to amplify, clone, express, and purify recombinant proteins that maintained their functional properties .
A multi-step purification approach is recommended to achieve high purity while maintaining enzymatic activity:
Immobilized metal affinity chromatography (IMAC) using Ni-NTA or Co-NTA resin
Lysis buffer: 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10 mM imidazole, 10% glycerol, 1 mM DTT
Include EDTA-free protease inhibitor cocktail during lysis
Elute with 250-300 mM imidazole gradient
Cation exchange chromatography (SP Sepharose)
Buffer: 50 mM MES pH 6.5, 50 mM NaCl, 5% glycerol, 1 mM DTT
Elute with 50-500 mM NaCl gradient
This step separates the recombinant protein from E. coli nucleases and nucleic acids
Size exclusion chromatography (Superdex 75 or 200)
Running buffer: 20 mM Tris-HCl pH 7.5, 150 mM NaCl, 10% glycerol, 1 mM DTT
Isolates monomeric active fraction from aggregates
Critical Quality Considerations:
Verify purity by SDS-PAGE (target >95%)
Confirm identity by Western blot or mass spectrometry
Assess nuclease activity with model substrates
Remove bound nucleic acids (monitor A260/A280 ratio, target ~0.6)
The purification protocol should be performed at 4°C to maintain enzyme stability, similar to approaches used for other recombinant H. somnus proteins that achieved >95% purity with maintained functional activity .
Solubility challenges are common when expressing bacterial RNases recombinantly. The following strategies can be implemented to enhance solubility:
Preventive Approaches:
Expression optimization:
Reduce induction temperature to 16-20°C
Lower IPTG concentration to 0.1-0.2 mM
Extend expression time (16-24 hours at lower temperatures)
Use specialized media (e.g., Terrific Broth with additional supplements)
Fusion tags to enhance solubility:
MBP (Maltose-Binding Protein) - large but highly soluble
SUMO - enhances folding and can be precisely cleaved
Thioredoxin - smaller tag with solubility benefits
NusA - effective for particularly insoluble proteins
Remedial Approaches for Inclusion Bodies:
| Approach | Protocol | Considerations |
|---|---|---|
| Mild solubilization | 2M urea, 1% Triton X-100, pH 8.0 | Preserves some structure, moderate yield |
| Denaturing purification | 8M urea or 6M guanidine-HCl | Complete denaturation, requires refolding |
| On-column refolding | Gradual denaturant removal on IMAC | Less aggregation than dilution methods |
| Pulsatile refolding | Stepwise dialysis with redox agents | Higher recovery of active protein |
Additives to Improve Solubility:
0.1-0.5M arginine in buffers reduces aggregation
5-10% glycerol stabilizes folded structures
0.5-1.0M non-detergent sulfobetaines (NDSB)
Low concentrations (50-100 mM) of amino acids like proline
These approaches can be systematically tested to determine the optimal conditions for obtaining soluble, active recombinant H. somnus RNase III.
Recombinant H. somnus RNase III provides a valuable tool for investigating gene regulation mechanisms in pathogenic bacteria:
1. Identification of RNase III targets:
Perform in vitro cleavage assays with total H. somnus RNA
Identify cleaved products by RNA-seq
Compare with RNase III-deficient strains to confirm specificity
Map cleavage sites at single-nucleotide resolution
2. Regulatory network analysis:
Create RNase III deletion mutants and perform transcriptome analysis
Identify genes with altered expression patterns
Perform complementation studies with the recombinant protein
Correlate changes with pathogenesis-related phenotypes
3. Small RNA (sRNA) processing investigation:
Examine processing of candidate regulatory sRNAs in vitro
Verify processing sites with primer extension assays
Correlate processing with mRNA target regulation
Map the sRNA-based regulatory network
4. Structure-function studies:
Create site-directed mutants of recombinant RNase III
Test effects on substrate specificity and catalytic activity
Introduce mutations back into H. somnus
Correlate biochemical changes with physiological outcomes
These approaches provide insight into how RNase III-mediated RNA processing contributes to gene expression regulation in H. somnus, potentially revealing mechanisms similar to those used by lipoproteins and other virulence factors to modulate pathogen-host interactions .
RNase III likely plays significant roles in H. somnus pathogenesis, and studies with recombinant protein can elucidate these mechanisms:
Potential Pathogenesis Roles:
Regulation of virulence factor expression
Control of stress response during host infection
Modulation of surface antigen expression
Processing of regulatory RNAs that control adaptation to host environments
Research Approaches Using Recombinant RNase III:
Regulatory target identification:
Perform RNA immunoprecipitation with recombinant RNase III
Identify bound RNAs by sequencing
Validate targets using in vitro cleavage assays
Correlate with virulence phenotypes
Gene expression effects:
Create isogenic mutants (wild-type, rnc deletion, point mutations)
Compare transcriptomes during infection-relevant conditions
Complement with recombinant protein to verify specificity
Identify virulence genes under RNase III control
Immune response interaction:
Test effects on host immune cell responses
Examine whether RNA processing affects immunogenicity
Investigate regulation of immune evasion mechanisms
Determine if RNase III contributes to resistance against host defenses
Histophilus somni is a key component of the bovine respiratory disease complex, which causes significant economic losses in the livestock industry. Traditional vaccines have shown limited efficacy, suggesting complex regulatory mechanisms may control virulence factor expression . Understanding RNase III's role could provide insights into these regulatory networks and identify new therapeutic targets.
Recombinant H. somnus RNase III represents a potentially valuable component for novel vaccine formulations, with several considerations regarding its implementation:
Immunological Potential:
Conservation across strains:
RNases III tend to be highly conserved essential proteins
Conservation suggests potential for broad protection
Less susceptible to antigenic variation than surface proteins
Vaccine formulation approaches:
Inclusion as a purified protein antigen
Combination with other recombinant antigens (multicomponent approach)
Use as a carrier protein for polysaccharide conjugate vaccines
Incorporation into novel delivery systems (nanoparticles, liposomes)
Experimental Validation Data Requirements:
| Parameter | Methodology | Expected Outcomes |
|---|---|---|
| Immunogenicity | ELISA antibody titers in model animals | High antibody production from days 21-42 |
| Protective efficacy | Bacterial challenge in mice | 70-100% survival rate against challenge |
| Safety profile | Histopathology and clinical observations | No significant adverse reactions |
| Adjuvant optimization | Testing various formulations (Al(OH)₃, oil-in-water) | Enhanced antibody production with minimal reactogenicity |
Potential for Multicomponent Vaccines:
The combination of multiple antigens in an enriched vaccine may provide more effective protection against complex pathogens like H. somnus. Previous research has shown that experimental vaccines containing two recombinant lipoproteins from H. somnus (p31/Plp4 and p40/LppB) generated high antibody titers in rabbits and sheep and protected mice against bacterial challenge . A similar approach incorporating RNase III could potentially enhance protection against bovine respiratory disease.
Formulations containing multiple conserved antigens might overcome the limitations of traditional bacterins, which have historically failed to demonstrate effective protection in vaccinated animals against H. somnus infection .
RNA contamination presents a significant challenge when purifying ribonucleases due to their natural affinity for RNA substrates. Effective strategies include:
Prevention Methods:
Expression system modification:
Co-express RNase inhibitor proteins during production
Use strains with reduced RNase activity (e.g., BL21 Star™)
Express as inactive fusion that can be later activated
Buffer optimization:
Include high salt (0.5-1.0 M NaCl) in lysis and early purification steps
Add low concentrations of denaturants (0.5-1.0 M urea) to disrupt RNA binding
Incorporate competitors like heparin (1-5 mg/ml) in early purification steps
Removal Methods:
| Approach | Protocol | Effectiveness |
|---|---|---|
| Nuclease treatment | Add benzonase (25 U/ml) during lysis | High for DNA, moderate for RNA |
| Differential precipitation | 0.2% polyethyleneimine at pH 8.0 | Excellent for nucleic acid removal |
| On-column washing | 1-2 M NaCl washes during IMAC | Good for weakly bound RNA |
| Anion exchange | Run in flow-through mode at pH 8.0 | Excellent separation of protein from RNA |
Quality Control Assessments:
Monitor A260/A280 ratio (target < 0.7 for pure protein)
Perform activity assays with defined substrates
Verify purity by SDS-PAGE with silver staining
Test for RNA contamination by staining with SYBR Gold
Implementation of these strategies ensures that the purified recombinant RNase III is free from RNA contaminants that could interfere with subsequent enzymatic and structural studies.
Distinguishing specific RNase III activity from contaminating RNases requires carefully designed control experiments and substrate selection:
Experimental Controls:
Catalytically inactive mutant:
Generate a site-directed mutant targeting catalytic residues (typically E41A/D45A in bacterial RNase III)
Purify using identical protocols as wild-type enzyme
Use as negative control in all activity assays
Differential inhibition:
RNase III is resistant to RNase A inhibitors (RNasin, RI)
Include RNasin in reactions to inhibit contaminating RNases
Test sensitivity to known RNase III inhibitors (e.g., certain antibiotics)
Substrate Specificity Assessment:
| Substrate Type | RNase III Activity | Other RNases |
|---|---|---|
| Perfect dsRNA (e.g., synthetic hairpins) | Efficient cleavage | Limited activity |
| ssRNA | No direct cleavage | Degraded by contaminating RNases |
| Specific model substrates (R1.1 RNA) | Precise cleavage at known sites | Random degradation |
| Minihelix substrates with 2-bp variants | Structure-dependent cleavage | Structure-independent degradation |
Analytical Approaches:
Map cleavage products using primer extension or RNA sequencing
Compare cleavage patterns with known RNase III signature products
Use native gel systems to distinguish between endo- and exonucleolytic degradation
Perform kinetic analysis with specific vs. non-specific substrates
These approaches ensure that observed activities are attributable to the recombinant H. somnus RNase III rather than contaminants, enabling confident interpretation of experimental results.
Long-term stability of purified recombinant H. somnus RNase III requires attention to multiple factors that affect protein integrity and enzymatic activity:
Storage Buffer Optimization:
Buffer components:
20 mM Tris-HCl or HEPES, pH 7.5-8.0
100-150 mM NaCl for ionic strength
1-5 mM DTT or 0.5-1 mM TCEP to prevent oxidation
10-50% glycerol as cryoprotectant
Optional: 0.1 mM EDTA to chelate trace metals
Stabilizing additives:
0.1% BSA as carrier protein for dilute solutions
100-200 mM arginine to prevent aggregation
0.01% Triton X-100 or Tween-20 at low concentrations
1-5 mM magnesium for structural stabilization
Storage Conditions Assessment:
| Storage Method | Conditions | Expected Stability |
|---|---|---|
| Short-term (1-2 weeks) | 4°C in stabilizing buffer | >90% activity retention |
| Medium-term (1-6 months) | -20°C with 50% glycerol | >80% activity retention |
| Long-term (>6 months) | -80°C in small aliquots | >75% activity retention |
| Lyophilization | Freeze-dried with trehalose | Variable recovery, requires optimization |
Stability Monitoring Protocol:
Perform activity assays at regular intervals (0, 1, 3, 6 months)
Monitor for degradation using SDS-PAGE
Measure thermal stability using differential scanning fluorimetry
Assess aggregation state by dynamic light scattering
For maintaining maximal activity, store the enzyme in small single-use aliquots to avoid repeated freeze-thaw cycles. When formulating with other components for potential vaccine applications, additional stabilizers may be required, as has been demonstrated with other recombinant H. somnus proteins used in experimental vaccine formulations .
The enzymatic properties of H. sommus RNase III likely share commonalities with other bacterial RNase III enzymes while potentially exhibiting unique characteristics related to its pathogenic lifestyle:
Comparative Enzymatic Properties:
| Property | H. somnus RNase III (predicted) | E. coli RNase III | S. aureus RNase III | M. tuberculosis RNase III |
|---|---|---|---|---|
| Molecular weight | ~25-28 kDa | 25.5 kDa | 26 kDa | 27.5 kDa |
| Optimal pH | 7.5-8.0 | 7.5 | 7.5-8.0 | 6.5-7.0 |
| Metal ion preference | Mg²⁺ | Mg²⁺ | Mg²⁺, Mn²⁺ | Mg²⁺ |
| Typical Km (dsRNA) | 50-200 nM | 100-300 nM | 50-150 nM | 200-500 nM |
| Temperature optimum | 30-37°C | 37°C | 30-37°C | 37°C |
| Salt tolerance | Moderate | Moderate | High | Low |
| Substrate length preference | 20+ bp | 20+ bp | 22+ bp | 16+ bp |
Structural and Functional Conservation:
RNase III enzymes typically share core catalytic mechanisms while displaying species-specific substrate preferences. H. somnus RNase III would be expected to recognize double-stranded RNA structures with specific sequence or structural elements relevant to its gene regulatory networks, potentially including transcripts associated with virulence factor expression or stress responses important during infection.
Evolutionary Considerations:
As a pathogen causing bovine respiratory disease, H. somnus RNase III may have evolved substrate specificities that facilitate adaptation to the bovine host environment, similar to how other H. somnus proteins have specialized functions in pathogenesis .
Several bioinformatic approaches can facilitate the identification of potential RNase III substrates in the H. somnus genome:
Computational Prediction Methods:
RNA secondary structure prediction:
Scan genome for regions forming extended double-stranded structures
Focus on 5' UTRs, intergenic regions, and terminator regions
Use tools like RNAfold, Mfold, or RNAstructure
Filter for structures with features matching known RNase III substrates
Consensus sequence/structure analysis:
Identify sequence motifs from known bacterial RNase III substrates
Apply position weight matrices to genome-wide scanning
Combine with secondary structure predictions
Score potential sites based on conservation across related species
Comparative genomics approach:
Identify conserved structured RNA regions across Pasteurellaceae
Focus on regions with compensatory mutations that maintain structure
Prioritize structures near virulence genes or stress response pathways
Analyze RNA-seq data for processing patterns characteristic of RNase III
Integration with Experimental Data:
| Experimental Data Type | Bioinformatic Analysis | Output |
|---|---|---|
| RNA-seq from WT vs. Δrnc | Differential expression analysis | Genes directly/indirectly regulated by RNase III |
| Term-seq | 3' end mapping | Identification of RNase III-dependent termination events |
| CLASH or CLIP-seq | Binding site identification | Direct interaction sites of RNase III with RNA |
| Ribosome profiling | Translational efficiency changes | Post-transcriptional effects of RNase III processing |
Validation Pipeline:
Select top predicted substrates based on computational scores
Design synthetic RNA constructs matching predicted structures
Test cleavage with recombinant H. somnus RNase III in vitro
Confirm processing patterns in vivo with northern blots or primer extension
These approaches would provide valuable insights into the regulatory networks controlled by RNase III in H. somnus, potentially identifying pathways relevant to its role in bovine respiratory disease pathogenesis.
Understanding RNase III function in H. somnus could enable several innovative therapeutic approaches:
Therapeutic Targeting Strategies:
Direct enzyme inhibition:
Design small molecule inhibitors specific to H. somnus RNase III
Target unique structural features distinct from mammalian enzymes
Use recombinant protein for high-throughput screening assays
Develop peptide inhibitors targeting non-catalytic binding surfaces
Substrate mimicry approaches:
Design decoy RNA substrates that sequester RNase III
Develop modified nucleic acids resistant to degradation
Create competitive inhibitors based on natural substrates
Deliver using nanoparticles or lipid-based carriers
Anti-virulence approaches:
Identify virulence factors regulated by RNase III
Target downstream pathways with existing compounds
Combine with conventional antibiotics for enhanced efficacy
Develop adjunctive therapies that reduce virulence without killing
Immunological Approaches:
| Strategy | Mechanism | Potential Advantage |
|---|---|---|
| Recombinant vaccine | Include RNase III with other components | Broader protection against multiple strains |
| Attenuated strains | Engineered RNase III mutants as live vaccines | Balanced attenuation and immunogenicity |
| Immune modulation | Target host responses affected by RNase III-regulated factors | Reduced inflammatory pathology |
| Antibody therapy | Target exposed epitopes of RNase III | Neutralization of extracellular enzyme activity |
Translational Research Pathway:
Validate RNase III role in pathogenesis using animal models
Identify essential RNA processing events controlled by RNase III
Screen for compounds that modulate these pathways
Test in combination with existing treatments for bovine respiratory disease
The development of such approaches could provide alternatives to traditional vaccines against H. somnus, which have historically shown limited efficacy in protecting cattle against infection . Additionally, a deeper understanding of RNA processing in bacterial pathogens could lead to broadly applicable therapeutic strategies against multiple components of the bovine respiratory disease complex.