KEGG: bja:blr1537
STRING: 224911.blr1537
The RuvB protein in B. japonicum, like its homologs in other bacteria, functions as an ATP-dependent DNA helicase that promotes branch migration of Holliday junctions during homologous recombination and DNA repair processes. When working in concert with RuvA (which provides junction specificity), the RuvB ATPase supplies the motor force necessary for branch migration - a critical step in the formation of heteroduplex DNA and resolution of recombination intermediates .
Methodologically, the function of RuvB can be assessed through in vitro strand displacement assays using partially duplex DNA substrates. The polarity of this unwinding (5'→3' in E. coli) and its ATP dependence are defining characteristics that should be examined when studying the B. japonicum homolog .
While the search results don't specifically characterize the B. japonicum RuvB protein structure, comparative genomic approaches would be essential to identify unique structural features. Based on E. coli studies, RuvB functions as a hexameric ring-shaped motor protein that encircles DNA and uses ATP hydrolysis to drive branch migration .
To determine structural differences, researchers should:
Perform sequence alignment of B. japonicum RuvB with homologs from E. coli and other bacteria
Identify conserved domains and unique sequence features
Generate structural predictions using homology modeling
Validate through experimental approaches such as X-ray crystallography or cryo-EM
The high conservation of DNA repair mechanisms suggests functional similarity, but species-specific adaptations may exist that could influence protein-protein interactions or substrate specificity.
For effective recombinant expression of B. japonicum RuvB, researchers should consider:
E. coli-based expression systems: BL21(DE3) strains commonly serve as effective hosts for bacterial recombinant proteins.
Codon optimization: B. japonicum has different codon usage patterns than E. coli, so codon optimization may improve expression levels.
Fusion tags: A hexahistidine tag facilitates purification via nickel affinity chromatography, while alternative tags like GST can improve solubility.
Expression conditions: Lower temperatures (16-20°C) often improve protein folding and solubility, especially for ATPases.
The expression construct should include appropriate promoters (T7 is commonly used) and ribosome binding sites optimized for the host system. Purification typically involves multiple chromatography steps, including affinity, ion exchange, and size exclusion chromatography to ensure protein homogeneity for functional assays.
To confirm ATP-dependent helicase activity of purified recombinant B. japonicum RuvB, researchers should perform:
ATP hydrolysis assays: Measuring inorganic phosphate release using colorimetric methods (malachite green) or radioactive [γ-32P]ATP to confirm ATPase activity.
DNA unwinding assays: Using partially duplex DNA substrates (similar to those described for E. coli RuvB) with fluorescently labeled oligonucleotides to monitor strand displacement .
Branch migration assays: Using synthetic Holliday junction structures to assess the ability of RuvB (with or without RuvA) to promote branch migration.
These assays should include appropriate controls:
ATP vs. non-hydrolyzable ATP analogs
RuvB alone vs. RuvB with RuvA
Different DNA substrate lengths to assess efficiency relationships
Based on E. coli studies, the efficiency of DNA unwinding is expected to be inversely related to the length of duplex DNA, which should be verified for the B. japonicum protein .
The interaction between RuvA and RuvB proteins is critical for efficient branch migration of Holliday junctions. In E. coli, RuvA binds specifically to Holliday junctions, reducing the requirement for RuvB by approximately 50-fold by providing target specificity .
To study this interaction in B. japonicum:
Protein-protein interaction assays:
Pull-down assays using tagged RuvA to capture RuvB
Surface plasmon resonance to quantify binding kinetics
Isothermal titration calorimetry to determine thermodynamic parameters
Functional reconstitution experiments:
Structural studies of the complex:
Cryo-EM of the RuvAB-Holliday junction complex
Cross-linking mass spectrometry to identify interaction interfaces
Understanding these interactions would provide insights into whether the B. japonicum RuvAB system has evolved unique regulatory mechanisms compared to model systems.
Given that RuvB in E. coli is induced as part of the SOS response to DNA damage , examining stress responses in B. japonicum would be valuable research:
Expression analysis under stress conditions:
Measure ruvB transcript levels using RT-qPCR following exposure to:
UV radiation
Oxidative stress (H₂O₂, paraquat)
Desiccation
pH stress
Symbiotic conditions (plant root exudates)
Protein level assessment:
Western blotting with anti-RuvB antibodies
Proteomics analysis under various stress conditions
Functional impact:
In vitro activity assays using protein extracts from stressed bacteria
Recombination frequency measurements under stress conditions
DNA damage repair kinetics following stress exposure
These studies would reveal whether B. japonicum modulates RuvB activity as part of its adaptation to the soil environment or symbiotic lifestyle, potentially revealing unique regulatory mechanisms compared to non-symbiotic bacteria.
CRISPR-Cas9 technology offers powerful approaches to study RuvB function in B. japonicum:
Gene knockout strategies:
Design sgRNAs targeting the ruvB gene
Introduce repair templates containing antibiotic resistance markers
Screen for successful integration and gene disruption
Assess phenotypic consequences on:
Growth rate and cell morphology
Recombination frequency
DNA damage sensitivity
Symbiotic efficiency with host plants
Gene editing for functional studies:
Create point mutations in ATPase domains to examine catalytic residues
Introduce fluorescent protein fusions for localization studies
Engineer epitope tags for immunoprecipitation experiments
Inducible expression systems:
Replace native promoter with inducible systems
Study effects of RuvB overexpression or depletion
Temporal control of expression during symbiosis
When working with B. japonicum, electroporation of CRISPR-Cas9 components has been shown to be effective for genetic manipulation, though optimization of transformation protocols may be required for different strains .
Understanding the link between DNA repair mechanisms and symbiotic performance represents an important research direction:
Comparative genomics and expression analysis:
Genetic manipulation studies:
Create ruvB mutants with altered activity levels
Assess their competitive nodulation ability
Evaluate nitrogen fixation efficiency
Measure persistence in soil and rhizosphere
Environmental stress connection:
Test whether strains with altered RuvB function show different responses to environmental stresses encountered during symbiosis
Examine whether DNA damage repair capacity correlates with symbiotic persistence
| Strain | RuvB expression level | Competitive index | N-fixation efficiency | DNA damage resistance |
|---|---|---|---|---|
| Wild-type | Baseline | 1.0 | Baseline | ++++ |
| ΔruvB | None | ? | ? | ? |
| ruvB overexpression | High | ? | ? | ? |
| ATPase-deficient | Variable | ? | ? | ? |
This table framework identifies key parameters to measure when examining the relationship between RuvB function and symbiotic performance.
Developing screens for RuvB modulators could provide valuable research tools:
Assay development:
Adapt ATPase activity assays to microplate format using colorimetric phosphate detection
Develop FRET-based DNA unwinding assays using fluorescently labeled oligonucleotides
Optimize signal-to-noise ratios and Z' factors for screening applications
Compound library screening:
Test focused libraries of known DNA-binding compounds and ATPase inhibitors
Screen natural product extracts, particularly from plant root exudates
Employ diversity-oriented synthetic libraries
Hit validation and characterization:
Confirm activity with dose-response curves
Determine mechanism of action (competitive vs. non-competitive inhibition)
Assess selectivity against other DNA helicases
Evaluate effects on bacterial growth and symbiotic functions
In vivo applications:
Test effects of validated compounds on:
DNA repair efficiency
Recombination frequency
Stress adaptation
Symbiotic performance
Such modulators could serve as valuable research tools for dissecting RuvB function in vivo and potentially lead to applications in agricultural biotechnology by modulating symbiotic efficiency.
Researchers frequently encounter solubility issues when expressing recombinant DNA helicases:
Expression optimization approaches:
Lower induction temperatures (16-20°C)
Reduced inducer concentrations
Co-expression with chaperones (GroEL/GroES, DnaK/DnaJ/GrpE)
Alternative expression hosts (e.g., Arctic Express strains with cold-adapted chaperones)
Protein engineering solutions:
Test different solubility-enhancing fusion tags (MBP, SUMO, GST)
Design truncated constructs based on domain prediction
Remove hydrophobic regions predicted to cause aggregation
Introduce surface mutations to enhance solubility
Buffer optimization:
Screen additives (glycerol, arginine, detergents)
Test various salt concentrations and pH conditions
Include stabilizing cofactors (ATP, ADP, Mg²⁺)
Use deuterated solvents for structural studies
The hexameric nature of RuvB may complicate expression, so approaches that stabilize oligomeric states (such as chemical crosslinking or co-expression with RuvA) might enhance functional protein yields.
Nuclease contamination can confound helicase assays, requiring specific mitigation strategies:
Purification optimizations:
Include EDTA in initial lysis buffers to inhibit nucleases
Add nuclease inhibitors (PMSF, benzamidine, RNasin)
Incorporate additional purification steps:
Heparin affinity chromatography
Hydroxyapatite chromatography
Size exclusion with stringent cutoffs
Activity verification methods:
Controls with ATP vs. without ATP (true helicase activity is ATP-dependent)
DNA unwinding assays with and without RuvA to confirm specificity
Substrate specificity tests (Holliday junctions vs. random DNA)
Activity in the presence of nuclease inhibitors or EDTA
Contaminant identification:
Mass spectrometry analysis of purified fractions
Activity-based protein profiling for nuclease detection
Antibody-based detection of common contaminants
Researchers should also consider designing nuclease-resistant DNA substrates with modified backbones for initial testing of potentially contaminated preparations.
Single-molecule techniques offer unique insights into helicase mechanism:
Single-molecule FRET (smFRET):
Design DNA substrates with strategically placed fluorophores
Monitor real-time conformational changes during branch migration
Determine step size and rate of RuvB-mediated unwinding
Analyze the effect of ATP concentration on unwinding kinetics
Optical/magnetic tweezers:
Attach DNA substrates between beads/surfaces
Apply controlled force while measuring extension
Determine the force generation capacity of RuvB
Measure pausing, backtracking, and processivity
DNA curtains and total internal reflection fluorescence (TIRF):
Visualize multiple DNA molecules in parallel
Track fluorescently labeled RuvB movement along DNA
Analyze the assembly of RuvAB complexes on Holliday junctions
Quantify residence times and processivity
These approaches would provide critical insights into whether B. japonicum RuvB displays distinct mechanistic properties compared to the well-characterized E. coli homolog, potentially revealing adaptations relevant to its symbiotic lifestyle.
Structural biology approaches offer powerful insights:
X-ray crystallography strategies:
Crystallize RuvB in different nucleotide-bound states (apo, ATP, ADP)
Co-crystallize with RuvA and/or DNA substrates
Solve structures to identify catalytic residues and conformational changes
Compare with E. coli homologs to identify species-specific features
Cryo-electron microscopy applications:
Visualize RuvB hexamers on DNA substrates
Capture different states of the ATP hydrolysis cycle
Reconstruct the complete RuvAB-Holliday junction complex
Determine high-resolution structures without crystallization
Hydrogen-deuterium exchange mass spectrometry (HDX-MS):
Map protein dynamics during ATP binding and hydrolysis
Identify regions involved in DNA interaction
Characterize conformational changes during branch migration
Compare with other bacterial RuvB proteins
Integration with functional studies:
Structure-guided mutagenesis to validate catalytic mechanisms
Design of B. japonicum-specific inhibitors or activity modulators
Engineering of RuvB variants with enhanced activity or altered specificity
These structural studies could potentially reveal adaptations that might be relevant to B. japonicum's function in the soil environment or during symbiotic interactions.
Given RuvB's role in recombination, its potential involvement in horizontal gene transfer merits investigation:
Comparative genomic approaches:
Analyze genomic islands in B. japonicum strains with different RuvB variants
Assess correlation between RuvB sequence/expression and genomic plasticity
Compare recombination hotspots across Bradyrhizobium species
Experimental evolution studies:
Subject wild-type and RuvB-modified strains to selective pressures
Measure rates of adaptive gene acquisition
Track genomic changes during host adaptation
Horizontal gene transfer assays:
Develop laboratory systems to measure conjugation efficiency
Test integration rates of foreign DNA
Assess recombination frequency between genomic regions
This research direction could reveal whether RuvB function contributes to the remarkable genomic diversity observed among Bradyrhizobium strains and their adaptation to different host plants and environmental conditions .
The competitive advantage of certain B. japonicum strains in nodulation might relate to DNA repair capabilities:
Competitive nodulation assays:
Stress response characterization:
Assess DNA damage accumulation during rhizosphere colonization
Measure repair efficiency following exposure to plant defense responses
Correlate DNA repair capacity with competitive fitness
Field trials with modified strains:
Test performance of strains with altered RuvB function
Assess persistence in agricultural soils over multiple growing seasons
Measure nitrogen fixation efficiency in competitive environments
This research could provide insights into whether DNA repair and recombination functions contribute to the field performance of commercial inoculant strains, potentially leading to improved strain selection criteria or engineering approaches.
Potential agricultural applications warrant exploration:
These applications could contribute to more resilient and effective nitrogen-fixing inoculants, reducing the need for chemical fertilizers in soybean and other legume crops.
Rigorous experimental design requires appropriate controls:
Negative controls:
ATPase-deficient RuvB mutants (Walker A/B mutations)
Reactions without ATP or with non-hydrolyzable ATP analogs
Heat-inactivated protein preparations
Non-specific DNA substrates lacking Holliday junctions
Positive controls:
Well-characterized E. coli RuvB as reference standard
Commercial helicases with known activity profiles
RuvA-RuvB combinations known to be active
Specificity controls:
Competition experiments with unlabeled substrates
Inhibitor studies (e.g., ATPase inhibitors)
RuvB from related Bradyrhizobium species
System validation:
Demonstrate ATP concentration dependence
Show expected DNA substrate length effects
Confirm RuvA enhancement of activity
Verify temperature and buffer condition optima
These controls ensure that observed activities are specifically attributable to B. japonicum RuvB rather than contaminants or experimental artifacts.
Computational analyses provide important evolutionary insights:
Sequence analysis methods:
Multiple sequence alignment of RuvB proteins across Bradyrhizobium species
Phylogenetic tree construction using maximum likelihood methods
Identification of conserved domains and catalytic motifs
Detection of positive selection signatures using dN/dS analysis
Structural bioinformatics:
Homology modeling based on E. coli RuvB crystal structures
Molecular dynamics simulations to compare conformational dynamics
Protein-protein interaction interface prediction for RuvA-RuvB complex
Virtual screening for potential species-specific inhibitors
Genomic context analysis:
Examination of ruvB gene neighborhood across species
Identification of co-evolving gene partners
Analysis of regulatory elements and promoter regions
Correlation of genetic variations with symbiotic host range