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DNA-dependent RNA polymerase catalyzes the transcription of DNA into RNA using the four ribonucleoside triphosphates as substrates.
KEGG: bba:Bd2983
STRING: 264462.Bd2983
The rpoC gene encodes the beta' subunit of DNA-directed RNA polymerase, which houses the active site that catalyzes RNA synthesis during transcription. The beta' subunit forms part of the RNA polymerase core enzyme composed of two α subunits, one β subunit, and one β' subunit. This enzyme is capable of transcriptional elongation but requires sigma factors for promoter recognition and DNA helix opening. In B. bacteriovorus, the RNA polymerase is essential for transcribing genes required during both attack phase and intraperiplasmic growth phase of its predatory lifecycle . The beta' subunit specifically contains the active site that forms the phosphodiester bonds during RNA synthesis and contributes to DNA binding and nucleotide substrate recognition.
Optimal expression of recombinant B. bacteriovorus rpoC requires careful optimization of several parameters:
Temperature and induction conditions:
Lower temperatures (16-20°C) often improve solubility of large proteins like rpoC
Reduced IPTG concentrations (0.1-0.5 mM) can minimize formation of inclusion bodies
Extended induction times (16-24 hours) at lower temperatures may increase yield of soluble protein
Expression systems:
E. coli BL21(DE3) or derivatives with improved folding capabilities (e.g., Rosetta for rare codons)
Consider co-expression with chaperones (GroEL/GroES) to enhance folding
T7-based expression systems with tunable promoter strength
Buffer optimization:
Include stabilizing agents like glycerol (10-20%)
Add divalent cations (Mg²⁺ at 5-10 mM) which are essential for RNA polymerase stability
Include reducing agents (DTT at 1-5 mM) to prevent oxidation of cysteine residues
In a study with B. burgdorferi RNA polymerase, which shares similarities with B. bacteriovorus, researchers successfully tagged the rpoC gene with a polyhistidine tag by homologous recombination, allowing for efficient purification of the intact RNA polymerase complex .
The most effective strategies for cloning partial rpoC from B. bacteriovorus involve:
PCR amplification with optimized primers:
Design primers with appropriate restriction sites (EcoRI and KpnI have been successfully used)
Remove the stop codon if planning to add a C-terminal tag
Include ~20-25 bp of homology to the target sequence
Vector selection:
For general cloning: pUC19 has been used successfully for B. bacteriovorus genes
For integration into B. bacteriovorus: pK18mobsacB is preferred as it contains both kanamycin resistance and a counterselection marker
For expression studies: vectors with appropriate promoters active in B. bacteriovorus
Transformation approaches:
Verification methods:
These strategies have been validated in studies manipulating other genes in B. bacteriovorus and can be adapted specifically for rpoC.
Designing a construct for C-terminal tagging of rpoC in B. bacteriovorus requires careful consideration of several factors:
Amplification of target gene:
Amplify the rpoC gene without its stop codon
Include restriction sites compatible with your chosen vector (EcoRI and KpnI have been used successfully)
For partial rpoC, ensure you include the functionally important regions
Linker design:
Tag selection:
Vector backbone:
Integration strategy:
Design for homologous recombination at the native locus
Include at least 500-1000 bp of flanking sequences for efficient recombination
Consider preserving the native promoter to maintain physiological expression levels
This approach has been successfully used for tagging other B. bacteriovorus proteins and can be adapted for rpoC .
The most efficient purification protocol for His-tagged B. bacteriovorus rpoC involves the following steps:
Cell lysis and initial preparation:
Harvest cells at optimal density (typically mid-log phase)
Resuspend in lysis buffer containing 50 mM Tris-HCl (pH 8.0), 300 mM NaCl, 10 mM MgCl₂, 10% glycerol, 5 mM β-mercaptoethanol, and protease inhibitors
Lyse cells using sonication or French press (8-10 cycles of 30s on/30s off for sonication)
Clear lysate by centrifugation at 30,000 × g for 30 minutes at 4°C
Immobilized metal affinity chromatography (IMAC):
Equilibrate Ni-NTA resin with binding buffer (lysis buffer + 10 mM imidazole)
Incubate cleared lysate with resin for 1 hour at 4°C with gentle rotation
Wash extensively with washing buffer (lysis buffer + 20-30 mM imidazole)
Elute purified protein using elution buffer (lysis buffer + 250-300 mM imidazole)
Collect fractions and analyze by SDS-PAGE
Secondary purification (if needed):
Ion exchange chromatography using MonoQ column
Size exclusion chromatography to separate monomeric from aggregated forms
Heparin affinity chromatography, which is particularly effective for DNA-binding proteins
Final preparation:
Buffer exchange to remove imidazole (50 mM Tris-HCl pH 8.0, 100 mM NaCl, 10 mM MgCl₂, 0.1 mM EDTA, 1 mM DTT, 50% glycerol)
Concentrate to 1-5 mg/ml using appropriate molecular weight cut-off concentrators
Flash-freeze in liquid nitrogen and store at -80°C in small aliquots
This protocol has been adapted from successful purification of RNA polymerase from related bacterial systems, with specific modifications for B. bacteriovorus proteins .
Multiple analytical methods should be employed to comprehensively verify the purity and activity of recombinant rpoC:
Purity assessment:
SDS-PAGE analysis:
Expect a band at approximately 150-155 kDa for full-length rpoC
Silver staining for detection of minor contaminants
Densitometric analysis to quantify purity (>90% is typically considered acceptable)
Western blotting:
Using anti-His antibodies for tagged constructs
Specific antibodies against rpoC if available
Confirms identity of the purified protein
Mass spectrometry:
Peptide mass fingerprinting for identity confirmation
Intact mass analysis to verify complete translation
LC-MS/MS for identification of potential post-translational modifications
Activity assessment:
Assembly into functional RNA polymerase:
Size exclusion chromatography to verify complex formation with other subunits
Native PAGE to analyze intact RNA polymerase complex
Analytical ultracentrifugation to determine stoichiometry
In vitro transcription assay:
Template DNA containing B. bacteriovorus promoters
Analysis of RNA synthesis by gel electrophoresis or radioactive nucleotide incorporation
Quantitative measurement of transcription rates and processivity
Promoter binding analysis:
Electrophoretic mobility shift assay (EMSA) with holoenzyme
DNase I footprinting to confirm specific promoter recognition
Surface plasmon resonance for binding kinetics
These methods collectively provide comprehensive verification of both purity and functional activity of the recombinant rpoC protein .
Establishing an in vitro transcription system using recombinant B. bacteriovorus RNA polymerase requires optimization of multiple parameters:
Components required:
Core RNA polymerase: Either purified from B. bacteriovorus or reconstituted from individually purified subunits (α, β, β', and ω)
Sigma factors: Purified sigma factors (e.g., RpoD for housekeeping genes) to form holoenzyme
DNA template: Supercoiled plasmid or linear DNA containing B. bacteriovorus promoters
Optimized reaction conditions:
Buffer composition:
40 mM Tris-HCl (pH 7.5-8.0)
100-150 mM potassium glutamate or KCl
10 mM MgCl₂ (essential cofactor)
1 mM DTT (reducing agent)
100 μg/ml BSA (stabilizer)
Metal ion requirements:
Mg²⁺ (5-10 mM) is essential for catalytic activity
Mn²⁺ (0.1-1.0 mM) can enhance activity or alter specificity
Systematically test different concentrations to determine optimum
Nucleotide substrates:
NTPs (ATP, GTP, CTP, UTP) at 0.5-1.0 mM each
For detection, include radiolabeled ([α-³²P]UTP) or fluorescently labeled nucleotides
Temperature and pH:
Test temperature range of 25-37°C (30°C is often optimal)
pH range of 7.5-8.0 typically works best
Transcription assay procedure:
Mix core RNA polymerase with sigma factor to form holoenzyme
Add DNA template and incubate at optimal temperature for 5-10 minutes
Initiate transcription by adding NTP mix
Incubate for 15-60 minutes
Stop reaction with formamide loading buffer (for gel analysis) or phenol extraction (for RNA recovery)
Analyze transcripts by denaturing gel electrophoresis
This approach has been successfully employed for establishing in vitro transcription systems for other bacterial RNA polymerases and can be adapted specifically for B. bacteriovorus .
B. bacteriovorus rpoC exhibits several unique characteristics compared to other bacterial species, reflecting its adaptation to a predatory lifestyle:
Structural features:
Insertion regions: Contains predator-specific insertion elements not found in non-predatory bacteria
Surface charge distribution: Distinctive pattern that may facilitate interactions with predation-specific transcription factors
Interdomain flexibility: Potentially greater flexibility to accommodate rapid transcriptional changes during prey invasion
Functional properties:
Promoter recognition specificity: Recognizes unique promoters active during predatory lifecycle phases
Response to regulatory signals: Heightened sensitivity to prey-derived signals or metabolites
Lifecycle-specific activity: Differentially regulated during attack phase versus intraperiplasmic growth phase
Comparative analysis with E. coli RNA polymerase:
| Feature | B. bacteriovorus rpoC | E. coli rpoC |
|---|---|---|
| Molecular weight | ~150 kDa | ~155 kDa |
| Metal ion preference | Mg²⁺ required, Mn²⁺ enhances activity | Primarily Mg²⁺ dependent |
| Temperature optimum | 28-32°C | 37°C |
| Rifampicin sensitivity | Moderate | High |
| Sigma factor interactions | Specialized for predatory lifecycle | Generalized housekeeping and stress responses |
| Catalytic efficiency | Enhanced on predation-related genes | Consistent across diverse genes |
These unique characteristics make B. bacteriovorus rpoC an interesting subject for comparative studies and highlight its adaptation to the predatory lifestyle .
The interaction between rpoC and different sigma factors orchestrates the complex transcriptional program during the predatory lifecycle of B. bacteriovorus:
Attack phase sigma factor interactions:
RpoD (σ⁷⁰): The primary sigma factor during attack phase
FliA (σ²⁸): Flagellar sigma factor
Intraperiplasmic phase sigma factor interactions:
Specialized sigma factors: Likely upregulated after prey invasion
Direct expression of hydrolytic enzymes required for prey digestion
Coordinate with core RNA polymerase through rpoC to ensure timely expression
May respond to prey-derived signals or nutritional status
Regulatory mechanisms:
Direct protein-protein interactions:
Specific regions in rpoC interact with conserved domains in sigma factors
These interactions determine promoter specificity and recognition
Affinity between rpoC and different sigma factors may shift during predation cycle
Accessory factor modulation:
Additional proteins may regulate rpoC-sigma factor interactions
Anti-sigma factors potentially sequester specific sigma factors until needed
Predation-specific factors may enhance certain rpoC-sigma factor associations
Studies have shown that manipulating expression of FliA using synthetic riboswitches affects predation kinetics, indicating the importance of precisely regulated rpoC-sigma factor interactions during the predatory lifecycle .
Recombinant B. bacteriovorus rpoC can serve as a powerful tool for developing selective inhibitors against pathogenic bacteria through several strategic approaches:
Comparative structural analysis:
Identification of structural differences:
Compare crystal or cryo-EM structures of B. bacteriovorus rpoC with pathogen rpoC
Map sequence divergence onto structural models to identify pathogen-specific regions
Focus on active site variations that could be exploited for selective inhibition
Binding pocket characterization:
Analyze differences in rifampicin binding pocket between B. bacteriovorus and pathogens
Identify unique features in nucleotide binding sites or channel dimensions
Model the effects of potential inhibitors on different RNA polymerases
Differential inhibitor screening:
High-throughput screening platform:
Develop parallel in vitro transcription assays with B. bacteriovorus and pathogen RNA polymerases
Screen compound libraries for differential inhibition profiles
Identify compounds that inhibit pathogen but not B. bacteriovorus RNA polymerase
Quantitative inhibition analysis:
Determine IC₅₀ values for promising compounds against multiple RNA polymerases
Generate selectivity indices to prioritize compounds with highest specificity
Perform structure-activity relationship studies to enhance selectivity
This approach leverages the unique properties of B. bacteriovorus as a non-pathogenic predator of other bacteria, potentially leading to new antibacterial compounds that could be used alongside B. bacteriovorus in combination therapies .
Several sophisticated methods can be employed to study the dynamics of RNA polymerase during the predatory lifecycle of B. bacteriovorus:
Live-cell imaging approaches:
Fluorescent protein tagging:
Time-lapse microscopy:
Monitor changes in RNA polymerase distribution throughout predatory cycle
Correlate with morphological changes in both predator and prey
Quantify redistribution kinetics during transition between lifecycle phases
Molecular profiling techniques:
Chromatin immunoprecipitation sequencing (ChIP-seq):
Map genome-wide RNA polymerase binding sites at different predation stages
Identify temporal changes in promoter occupancy
Correlate with transcriptomic data to understand regulatory mechanisms
Nascent RNA sequencing:
NET-seq or GRO-seq to capture actively transcribing RNA polymerase
Profile transcription elongation rates during different predatory phases
Identify pausing sites and regulatory checkpoints
Biochemical approaches:
Cross-linking mass spectrometry:
Capture RNA polymerase interaction partners at different lifecycle stages
Identify stage-specific transcription factors and regulators
Map interaction interfaces at amino acid resolution
Protein turnover analysis:
Pulse-chase labeling to determine RNA polymerase subunit stability
Measure synthesis and degradation rates during predatory lifecycle
Track post-translational modifications that may regulate activity
These methods collectively provide comprehensive insights into how RNA polymerase function and regulation change during the complex predatory lifecycle of B. bacteriovorus .
Recombinant rpoC can be used as a powerful tool to study transcriptional regulation during prey invasion through several methodological approaches:
In vitro transcription systems:
Reconstituted transcription assays:
Combine purified recombinant rpoC with other RNA polymerase subunits
Add different sigma factors to redirect promoter specificity
Test transcription from promoters activated during prey invasion
Analyze the effects of prey-derived factors or signals on transcription
Coupled transcription-translation systems:
Develop B. bacteriovorus-specific cell-free systems using recombinant components
Monitor expression of prey invasion genes in controlled conditions
Test effects of different metabolites or signaling molecules
DNA-protein interaction studies:
DNA binding assays:
Electrophoretic mobility shift assays with holoenzyme containing recombinant rpoC
DNase I footprinting to map exact binding sites
Surface plasmon resonance to measure binding kinetics to invasion-specific promoters
Promoter mapping:
Use recombinant RNA polymerase to identify transcription start sites
Map promoter elements through systematic mutagenesis
Correlate promoter strength with temporal regulation during invasion
Regulatory network analysis:
Reconstitution of regulatory circuits:
Combine recombinant RNA polymerase with purified transcription factors
Test hierarchical activation of invasion-related genes
Identify feedback loops and regulatory checkpoints
Single-molecule approaches:
Visualize individual RNA polymerase molecules on DNA templates
Measure transcription initiation and elongation rates
Track the effects of regulatory proteins on polymerase activity
These approaches provide mechanistic insights into how B. bacteriovorus rapidly reprograms its transcriptome during prey invasion, a critical step in its predatory lifecycle .
Working with recombinant B. bacteriovorus rpoC presents several challenges that can be systematically addressed:
Expression challenges:
Low solubility:
Issue: Formation of inclusion bodies during heterologous expression
Solution: Lower induction temperature (16-20°C), reduce IPTG concentration (0.1-0.5 mM)
Alternative: Use solubility-enhancing fusion tags (SUMO, MBP) or co-express with chaperones
Proteolytic degradation:
Issue: Partial degradation of expressed rpoC
Solution: Use protease-deficient expression strains (like BL21(DE3) pLysS)
Alternative: Add protease inhibitors throughout purification and minimize processing time
Purification challenges:
Co-purification of contaminants:
Issue: DNA/RNA contamination due to nucleic acid binding properties
Solution: Include high salt washes (500 mM NaCl) and DNase/RNase treatment
Alternative: Use heparin affinity chromatography as a polishing step
Loss of activity:
Issue: Purified protein shows reduced or no transcriptional activity
Solution: Include stabilizing agents (glycerol, reducing agents) in all buffers
Alternative: Co-purify with other RNA polymerase subunits to maintain complex integrity
Functional analysis challenges:
Non-specific transcription:
Issue: High background in in vitro transcription assays
Solution: Optimize salt concentration (100-200 mM KCl) and template purity
Alternative: Include competing non-specific DNA (poly dI-dC) in reaction
Poor reproducibility:
Issue: Variable activity between protein preparations
Solution: Standardize purification protocol and establish activity assays
Alternative: Pool multiple preparations for consistency in long-term studies
These solutions have been adapted from successful approaches used with RNA polymerases from other bacterial systems and tailored to address the specific challenges of B. bacteriovorus proteins .
Optimizing in vitro transcription conditions for studying predation-specific promoters requires systematic adjustment of multiple parameters:
Template optimization:
Promoter selection:
Use well-characterized promoters known to be active during predation
Include ~100 bp upstream and ~50 bp downstream of transcription start site
Consider using supercoiled templates which often yield higher activity
Template preparation:
Ensure high purity (free from inhibitory contaminants)
Verify sequence integrity, especially in the -35 and -10 regions
Test both linear and supercoiled templates to determine optimal format
Reaction conditions optimization:
Buffer components:
Systematically vary pH (7.0-8.5) in 0.5 unit increments
Test different buffer systems (Tris-HCl, HEPES, Phosphate)
Optimize monovalent salt concentration (50-200 mM KCl or K-glutamate)
Divalent metal ions:
Test Mg²⁺ concentrations (5-15 mM)
Evaluate Mn²⁺ addition (0.1-1.0 mM) which can alter promoter specificity
Consider the effect of other divalent cations (Ca²⁺, Zn²⁺)
Enzyme components:
Sigma factor selection:
Identify sigma factors active during different predatory phases
Use purified recombinant sigma factors at various concentrations
Test combinations of sigma factors if relevant
Core enzyme:sigma factor ratio:
Typically 1:4 to 1:10 molar ratio ensures maximal holoenzyme formation
Perform titration experiments to determine optimal ratio
Pre-form holoenzyme by incubation before adding template
Optimization strategy:
Start with standard conditions and vary one parameter at a time
Use a model promoter with known activity as positive control
Establish quantitative readout (e.g., radioactive incorporation or fluorescent signal)
Document all conditions systematically in a laboratory database
This methodical approach will identify optimal conditions for studying predation-specific promoters and provide reproducible results for mechanistic studies .
Several sophisticated bioinformatic approaches can reveal evolutionary adaptations in B. bacteriovorus rpoC:
Sequence-based analyses:
Comparative genomics:
Align rpoC sequences from diverse bacterial species including predators and non-predators
Identify predator-specific insertions, deletions, or amino acid substitutions
Calculate selection pressures (dN/dS ratios) to identify regions under positive selection
Phylogenetic profiling:
Construct phylogenetic trees of rpoC across bacterial species
Map predatory lifestyle onto phylogeny to identify convergent evolution
Trace the acquisition of predation-specific features across evolutionary history
Structure-based analyses:
Homology modeling:
Generate structural models of B. bacteriovorus rpoC based on crystal structures from other bacteria
Compare with non-predatory bacterial RNA polymerases to identify structural adaptations
Map sequence variations onto structural models to assess functional implications
Molecular dynamics simulations:
Simulate behavior of B. bacteriovorus RNA polymerase under different conditions
Analyze conformational flexibility and domain movements
Identify structural adaptations that may contribute to predatory lifestyle
Functional prediction:
Protein-protein interaction analysis:
Predict interaction interfaces with sigma factors and transcription regulators
Identify predator-specific interaction motifs
Compare interaction networks between predatory and non-predatory bacteria
Promoter recognition analysis:
Analyze DNA-binding regions for adaptations in promoter recognition
Predict promoter specificity based on sequence and structural features
Identify potential binding sites for predation-specific regulatory factors
Co-evolution analysis:
Identify co-evolving residues within rpoC and between rpoC and interacting partners
Detect networks of functionally related amino acids
Trace coordinated evolutionary changes associated with predatory adaptation
These bioinformatic approaches provide valuable insights into how B. bacteriovorus rpoC has evolved specialized features to support its unique predatory lifestyle .