This protein may play a role in DNA repair, potentially participating in a RecBC-independent recombinational DNA repair process. It may function in conjunction with RecF and RecO proteins.
KEGG: bja:bll8114
STRING: 224911.bll8114
RecR in Bradyrhizobium japonicum functions as a critical component in homologous recombination and DNA repair pathways. It forms part of the RecFOR pathway that assists RecA protein in DNA strand exchange during recombinational repair. Specifically, RecR works in concert with RecF and RecO to facilitate RecA loading onto single-stranded DNA (ssDNA) that is coated with single-stranded DNA binding (Ssb) protein. This process is particularly important in the repair of DNA gaps and in overcoming the inhibitory effect of Ssb protein on RecA nucleoprotein filament formation.
Experimental evidence indicates that RecR in bacterial systems forms a heterotrimeric complex with RecF and RecO in a 1:1:1 molar ratio, with a molecular weight of approximately 276 kDa, suggesting a multimeric arrangement of these proteins during their function . This complex serves as an "anti-Ssb factor," essential for protecting the genome integrity of slow-growing organisms like B. japonicum during their extended growth cycles.
The interaction between RecR, RecF, and RecO in B. japonicum is sequential and highly regulated:
RecF initially interacts with RecO through direct protein-protein contacts
RecR then interacts with the RecF-RecO complex to form the complete RecF-RecO-RecR heterotrimer
RecO mediates the interactions between RecF and RecR, acting as a bridge between these proteins
The formed complex can then interact with Ssb-coated ssDNA
Immunoprecipitation experiments have demonstrated that RecR is precipitated by anti-RecF antibodies only when both RecO and RecF are present, indicating that RecO mediates the RecF-RecR interaction . This mediation is crucial for B. japonicum, which relies heavily on efficient DNA repair mechanisms due to its slow growth rate and susceptibility to DNA damage during symbiotic nitrogen fixation processes.
The presence of ATP can modulate these interactions, with ATP binding to RecF decreasing its affinity for RecO without affecting RecO's affinity for Ssb. This ATP-dependent regulation allows for fine-tuning of the recombination process in response to cellular energy states .
The recR gene in B. japonicum is located on its single circular chromosome, which is 9,105,828 bp in length with an average GC content of 64.1% . While the complete genomic context of recR in B. japonicum has not been fully characterized in the provided search results, general bacterial organizational patterns suggest it may be part of a conserved genomic arrangement.
In bacterial systems, recR is often found in operons with other DNA repair genes, although the specific arrangement can vary between species. The genetic organization comparison between B. japonicum and other nitrogen-fixing bacteria such as B. diazoefficiens USDA110 would be particularly informative, as B. japonicum strains have been reclassified into different species based on genomic analyses .
A comparative analysis table of recR gene location and organization would show:
| Bacterial Species | recR Chromosomal Location | Adjacent Genes | Operon Structure |
|---|---|---|---|
| B. japonicum USDA110 | Within the 9.1 Mb chromosome | Likely near DNA repair genes | Data needed |
| B. diazoefficiens | Confirmed present | Associated with homologous recombination | Data needed |
| E. coli (reference) | Part of recFOR pathway | Often near recF and recO | Well-characterized operon |
Further genomic analyses are required to fully map the recR locus in different Bradyrhizobium strains and species.
The RecFOR pathway, including RecR, plays a crucial role in maintaining genomic integrity during the transition from free-living to symbiotic states in B. japonicum. During nodule formation and nitrogen fixation in soybean roots, B. japonicum faces various stressors including oxidative stress and host defense responses that can damage DNA.
Methodological approaches to study this contribution include:
Creation of recR knockout mutants in B. japonicum to assess:
Nodulation efficiency with soybean plants
Nitrogen fixation capacity (acetylene reduction assay)
Survival rates under oxidative stress conditions
Comparative transcriptomic analysis of recR expression between:
Free-living bacteria
Bacteria during infection thread formation
Bacteroids within mature nodules
Research suggests that efficient DNA repair systems are particularly important for B. japonicum due to its slow growth characteristics (doubling time significantly longer than other bacteria) . The recombination proteins including RecR likely contribute to the bacterium's ability to maintain genomic stability during the dramatic physiological changes that occur during symbiosis establishment.
The ability of B. japonicum to form successful root nodules depends on proper functioning of DNA repair pathways, as genomic instability could compromise the complex signaling between plant and bacterium during symbiotic establishment.
Expressing and purifying recombinant RecR from B. japonicum presents several challenges due to the slow growth of the organism and potential solubility issues. Based on protocols for similar bacterial recombination proteins, the following methodological approach is recommended:
Expression System Selection:
E. coli BL21(DE3) remains the system of choice, using vectors with tightly controlled promoters (pET series)
Consider codon optimization for B. japonicum genes which have a high GC content (64.1%)
Optimized Protocol:
Clone the recR gene from B. japonicum genomic DNA using PCR with high-fidelity polymerase
Insert into pET-28a(+) vector with N-terminal His6-tag for purification
Transform into E. coli BL21(DE3)
Culture conditions:
Grow at 37°C until OD600 reaches 0.6-0.8
Induce with 0.1-0.5 mM IPTG
Shift to lower temperature (16-20°C) for overnight expression to improve solubility
Purification Strategy:
Cell lysis using sonication in buffer containing:
50 mM Tris-HCl (pH 8.0)
300 mM NaCl
10% glycerol
1 mM DTT
Protease inhibitor cocktail
Ni-NTA affinity chromatography
Size exclusion chromatography to ensure homogeneity
Protein quality assessment should include SDS-PAGE (>85% purity), western blot confirmation, and functional assays testing DNA binding and RecF-RecO interactions. The purified protein should be reconstituted in deionized sterile water to a concentration of 0.1-1.0 mg/mL with 5-50% glycerol for stability during storage .
Several complementary techniques can be employed to characterize the interactions between RecR and other recombination proteins in B. japonicum:
In Vitro Techniques:
Co-immunoprecipitation (Co-IP):
Size-exclusion chromatography:
Surface Plasmon Resonance (SPR):
Measure binding kinetics and affinity constants between RecR and potential partners
Immobilize RecR on sensor chip and flow other proteins to detect interactions
Affinity chromatography:
In Vivo Techniques:
Bacterial two-hybrid system:
Detect protein-protein interactions in living bacterial cells
Particularly useful for membrane or insoluble proteins
Luciferase complementation imaging (LCI):
Fluorescence microscopy with fusion proteins:
Create RecR-GFP fusions to visualize localization in live cells
Co-localization studies with other fluorescently tagged recombination proteins
These methodologies should be adapted to account for the slow growth characteristics of B. japonicum, potentially requiring longer incubation times and specialized growth media such as BJSM (Bradyrhizobium japonicum selective medium) .
Creating recR mutants in B. japonicum requires specialized approaches due to the organism's slow growth and high rates of spontaneous antibiotic resistance. Based on successful mutagenesis strategies in Bradyrhizobium, the following methodological approach is recommended:
Optimized Protocol for recR Mutagenesis:
Construct preparation:
Design a construct where a kanamycin (Km) or spectinomycin (Sp) cassette replaces part of the recR gene
Include 1-2 kb of homologous flanking DNA sequences on each side of the antibiotic cassette
Clone this construct into a suicide vector that cannot replicate in B. japonicum
Transformation method:
Electroporation of B. japonicum competent cells
Alternatively, triparental mating using E. coli donor and helper strains
Selection protocol (addressing the high spontaneous resistance issue):
Verification strategies:
PCR analysis with primers flanking the insertion site
Southern blot analysis to confirm single insertion event
Reverse transcription-PCR to verify absence of recR transcript
Western blot to confirm absence of RecR protein
This approach has been shown to increase efficiency in identifying recombinant site-directed mutants in B. japonicum by eliminating the need to first isolate genomic DNA from each potential mutant for Southern hybridization .
The phenotypic effects of recR mutations in B. japonicum can be comprehensively assessed using a multi-faceted approach targeting both free-living and symbiotic states:
Free-living Growth Analysis:
Growth curve determination:
Stress response profiling:
DNA damaging agents (UV radiation, mitomycin C, methyl methanesulfonate)
Oxidative stress inducers (H₂O₂, paraquat)
Measure survival rates and recovery times
This approach reveals RecR's role in DNA damage repair
Microscopic examination:
Cell morphology assessment using phase contrast microscopy
Nucleoid structure analysis with DAPI staining
Potential filamentous growth indicating impaired DNA repair
Symbiotic Function Assessment:
Nodulation assays with soybean plants:
Count nodule number per plant
Measure nodule size and morphology
Assess time to nodule appearance
Analyze bacteroid differentiation within nodules
Nitrogen fixation quantification:
Acetylene reduction assay to measure nitrogenase activity
Plant dry weight and nitrogen content determination
Comparative assessment of plant height and leaf coloration
Competitive nodulation experiments:
Co-inoculate wild-type and recR mutant strains
Use differential antibiotic resistance markers
Determine ratio of nodule occupancy
This would reveal if RecR function affects competitiveness
Molecular analysis of symbiotic gene expression:
qRT-PCR for key symbiotic genes (nod, nif) in the mutant
RNA-seq to assess global transcriptional changes
This would reveal potential regulatory roles of RecR beyond DNA repair
The interconnection between DNA repair systems and symbiotic efficiency has been observed in other nitrogen-fixing bacteria, making these phenotypic analyses particularly relevant for understanding RecR function in B. japonicum.
Several genomic approaches can elucidate the evolutionary history of RecR across Bradyrhizobium species:
Multilocus Sequence Analysis (MLSA):
Include recR as one of the protein-coding genes in MLSA along with established markers such as atpD, recA, glnII, and rpoB
Compare evolutionary rates of recR with housekeeping genes across Bradyrhizobium species
This approach has already proven effective for Bradyrhizobium taxonomy and biogeographic studies
Comparative Genomics:
Synteny analysis:
Compare the genomic context of recR across multiple Bradyrhizobium genomes
Identify conservation or rearrangements in the recR locus
This could reveal functional constraints or mobile genetic element influence
Selection pressure analysis:
Detailed Population Genetic Metrics:
Based on methods used in Bradyrhizobium population studies , the following metrics should be calculated:
| Metric | Description | Expected Pattern for recR |
|---|---|---|
| Haplotype diversity (Hd) | Uniqueness of haplotypes | Potentially lower than housekeeping genes |
| Nucleotide diversity (π) | Average number of nucleotide differences | Expected to be conserved |
| Tajima's D | Test of neutrality | Likely negative values if under purifying selection |
| Minimum recombination events (RM) | Evidence of recombination | Expected to be low for DNA repair genes |
| Hudson's C | Population recombination rate | Species-specific patterns |
Phylogenomic Analysis:
Construct phylogenetic trees using:
recR sequences alone
Concatenated core genome sequences
Compare topologies to identify potential horizontal gene transfer events
The high GC content (64.1%) of B. japonicum genome and the presence of numerous insertion sequences suggest genome plasticity that could affect recR evolution, particularly in comparison between B. japonicum and the reclassified B. diazoefficiens strains .
The DNA binding properties of recombinant B. japonicum RecR can be characterized using multiple complementary biochemical and biophysical approaches:
Electrophoretic Mobility Shift Assay (EMSA):
Prepare labeled DNA substrates that mimic recombination intermediates:
Single-stranded DNA (ssDNA)
Double-stranded DNA (dsDNA)
Gapped DNA structures
Holliday junctions
Incubate with increasing concentrations of purified RecR
Analyze mobility shifts on native polyacrylamide gels
Include competition assays with unlabeled DNA to determine specificity
DNA Binding Kinetics:
Surface Plasmon Resonance (SPR):
Immobilize DNA substrates on sensor chips
Flow RecR protein at various concentrations
Derive association (ka) and dissociation (kd) rate constants
Calculate equilibrium dissociation constant (KD)
Fluorescence Anisotropy:
Use fluorescently labeled DNA oligonucleotides
Measure changes in anisotropy upon RecR binding
Determine binding affinities under various conditions
Test effect of Mg²⁺, ATP, and salt concentration on binding
Structural Studies:
Atomic Force Microscopy (AFM):
Visualize RecR-DNA complexes at single-molecule resolution
Determine DNA conformation changes upon RecR binding
Assess potential DNA bridging or looping activities
Electron Microscopy:
Negative staining to visualize RecR-DNA complexes
Analyze structural arrangements on DNA templates
Functional Assays:
DNA Protection Assays:
Test if RecR protects DNA from nuclease digestion
Use DNase footprinting to identify specific binding sites
ATP Hydrolysis Assays:
Determine if DNA binding stimulates any latent ATPase activity
Compare with RecF-RecO-RecR complex activity
RecA Loading Assays:
Comparative Analysis:
Since the RecF-RecO-RecR complex functions as a heterotrimer , perform parallel assays with:
RecR alone
RecR + RecF
RecR + RecO
RecR + RecF + RecO
to elucidate the contribution of RecR to the complex's DNA binding properties.
Determining the structural features of B. japonicum RecR requires a multi-technique approach:
X-ray Crystallography:
Crystallization screening:
Use vapor diffusion methods (hanging/sitting drop)
Screen commercial crystallization kits (Hampton Research, Molecular Dimensions)
Optimize promising conditions varying pH, salt, precipitant
Consider crystallization with DNA and/or RecF/RecO partners
Data collection and processing:
Collect diffraction data at synchrotron facilities
Process data using standard crystallographic software (XDS, CCP4, PHENIX)
Solve structure by molecular replacement using known RecR structures
Build and refine model to obtain atomic resolution structure
Nuclear Magnetic Resonance (NMR) Spectroscopy:
Express ¹⁵N and ¹³C labeled RecR in minimal media
Collect multidimensional NMR spectra to assign backbone and side-chain resonances
Determine secondary structure elements from chemical shift data
Study dynamics and flexibility of specific domains
Particularly useful for examining RecR in complex with RecF and RecO
Cryo-Electron Microscopy (Cryo-EM):
Especially valuable for larger complexes (RecF-RecO-RecR, ~276 kDa)
Prepare grids with RecR alone and in complex with partners
Collect and process images using single-particle analysis
Generate 3D reconstructions to visualize quaternary structure
Small-Angle X-ray Scattering (SAXS):
Collect scattering data on RecR in solution
Generate low-resolution molecular envelopes
Particularly useful for flexible proteins or those difficult to crystallize
Can provide insights into conformational changes upon complex formation
Computational Approaches:
Homology modeling:
Use known RecR structures as templates
Validate models through molecular dynamics simulations
Predict key functional residues and domains
AlphaFold2 or RoseTTAFold prediction:
Generate AI-based structural predictions
Compare with experimental data when available
Particularly useful for initial structural insights
Functional Domain Mapping:
Limited proteolysis to identify domain boundaries
Create deletion constructs to test domain functions
Site-directed mutagenesis of predicted functional residues
Circular dichroism (CD) spectroscopy to assess secondary structure content
These approaches would reveal important structural features of RecR, such as its DNA-binding domain, interaction surfaces with RecF and RecO, and any structural changes that occur upon complex formation or ATP binding.
The RecFOR pathway in B. japonicum represents one of several DNA repair mechanisms in rhizobia, each with distinct characteristics and evolutionary significance:
Comparative Analysis of DNA Repair Pathways in Rhizobia:
| Repair Pathway | Key Proteins | Primary Function | Evolutionary Conservation |
|---|---|---|---|
| RecFOR pathway | RecF, RecO, RecR | Gap repair, RecA loading | Highly conserved in rhizobia |
| RecBCD pathway | RecB, RecC, RecD | Double-strand break repair | Variable in rhizobia; B. japonicum lacks RecD |
| UvrABC system | UvrA, UvrB, UvrC | Nucleotide excision repair | Present in most rhizobia |
| MutS-MutL | MutS, MutL | Mismatch repair | Conserved across rhizobia |
| SOS response | LexA, RecA | Damage-inducible repair | Differs in regulation among rhizobia |
Methodological Approaches for Comparative Analysis:
Genomic comparisons:
Identify homologs across Bradyrhizobium, Sinorhizobium, Rhizobium, and Mesorhizobium
Assess gene synteny and operon organization
Identify species-specific adaptations in RecFOR pathway components
Functional complementation studies:
Express B. japonicum recR in E. coli recR mutants
Test if B. japonicum RecR can substitute for RecR in other rhizobia
Evaluate cross-species functionality of RecFOR complex formation
Transcriptional regulation analysis:
Compare expression patterns of recF, recO, and recR genes
Identify regulatory elements (promoters, binding sites)
Assess coordination with nitrogen fixation genes
Evolutionary Considerations:
B. japonicum's slow growth rate (compared to other rhizobia) may have influenced the evolution of its DNA repair pathways. The RecFOR pathway is particularly important in slow-growing organisms where efficiently repairing DNA gaps is critical for genome stability during extended replication cycles.
The genome size difference between B. japonicum (9.1 Mb) and other rhizobia (typically 6-8 Mb) may also reflect different selective pressures on DNA repair systems, with larger genomes potentially requiring more robust repair mechanisms to maintain integrity.
Functional Specialization:
In B. japonicum, the RecFOR pathway likely plays an enhanced role in:
Maintaining genomic stability during the bacteroid differentiation process
Protecting DNA during oxidative stress encountered in nodules
Repairing damage that occurs during the extended periods of nitrogen fixation
These specialized functions may be reflected in sequence adaptations or regulatory patterns unique to B. japonicum compared to other rhizobia.
RecR function could be strategically leveraged to enhance B. japonicum's agricultural applications through several biotechnological approaches:
Enhanced Stress Tolerance:
Controlled overexpression of recR:
Development of stress-inducible expression systems:
Engineer recR expression to increase specifically during stress
Design synthetic promoters responsive to soil conditions
This approach could ensure optimal RecR levels exactly when needed
Improved Inoculant Formulations:
Protective additives targeted to DNA repair function:
Stability testing protocols:
Enhanced Competitive Ability:
Selective modification of RecR function:
Co-inoculation strategies:
Data from Field Studies:
Research has shown that B. japonicum strains vary in:
Nitrogen fixation capacity
Competitive ability for nodule occupancy
Stress tolerance
| Strain Type | N₂ Fixation Efficiency | Competitiveness | Field Persistence | Potential RecR-based Improvement |
|---|---|---|---|---|
| B. japonicum CPAC 15 | Moderate | High | Good | Enhance fixation while maintaining competitiveness |
| B. diazoefficiens CPAC 7 | High | Moderate | Moderate | Improve stress tolerance and field persistence |
| Natural variants | Variable | Variable | Variable | Introduce optimal RecR alleles |
The genomic variability found in natural B. japonicum variants adapted to different environments suggests that RecR functions may already be optimized for specific conditions, providing a natural resource for biotechnological improvements.
Several cutting-edge experimental techniques are emerging for studying RecR and homologous recombination in B. japonicum:
Advanced Imaging Technologies:
Super-resolution microscopy:
Techniques like PALM, STORM, or STED for visualizing RecR localization
Single-molecule tracking of fluorescently labeled RecR in live cells
Observe real-time dynamics of RecFOR complex formation during DNA repair
Correlative light and electron microscopy (CLEM):
Combine fluorescence imaging of RecR with ultrastructural context
Particularly valuable for studying RecR localization during bacteroid differentiation
Visualize RecR in relation to nucleoid organization in nodule cells
CRISPR-Based Technologies:
CRISPR interference (CRISPRi):
Fine-tuned repression of recR expression
Study dosage effects without complete gene deletion
Allows temporal control of RecR depletion during symbiotic stages
CRISPR-based genomic tagging:
Insert fluorescent or affinity tags at endogenous recR locus
Study native expression levels and localization patterns
Create libraries of tagged DNA repair proteins for interaction studies
Single-Cell Technologies:
Single-cell RNA sequencing:
Analyze transcriptional heterogeneity in recR expression
Compare free-living cells vs. bacteroids within nodules
Correlate recR expression with other DNA repair and symbiotic genes
Microfluidics-based approaches:
Structural Approaches:
Cryo-electron tomography:
Visualize RecFOR complexes in their native cellular context
Study the architecture of DNA repair centers in B. japonicum
Observe structural changes during symbiotic differentiation
Hydrogen-deuterium exchange mass spectrometry (HDX-MS):
Map protein dynamics and conformational changes
Identify RecR interaction surfaces with RecF, RecO, and DNA
Characterize allosteric regulation mechanisms
Multi-Omics Integration:
Integrative analysis of transcriptomics, proteomics, and interactomics:
Chromatin immunoprecipitation sequencing (ChIP-seq):
Map genome-wide binding sites of RecR and other recombination proteins
Identify hotspots for DNA repair activity
Correlate with genomic features like GC content and repetitive elements
These emerging techniques will provide unprecedented insights into RecR function in the context of B. japonicum's unique biology as a slow-growing, nitrogen-fixing symbiont with a large, GC-rich genome .
Studying RecR function in B. japonicum presents several significant technical challenges:
Growth-Related Challenges:
Extremely slow growth rate:
Contamination risks:
Genetic Manipulation Difficulties:
High spontaneous antibiotic resistance:
Low transformation efficiency:
B. japonicum is notoriously difficult to transform
Solution: Optimize electroporation parameters specifically for B. japonicum
Consider alternative methods like conjugation with specialized E. coli donor strains
Protein Expression and Purification Issues:
Codon usage bias:
Protein solubility and stability:
RecR may have evolved specific properties in B. japonicum
Solution: Screen multiple buffer conditions and consider fusion partners
Use solubility enhancers like SUMO tags and optimize purification protocols
Functional Assay Limitations:
Distinguishing direct vs. indirect effects:
RecR functions as part of a complex network
Solution: Use in vitro reconstituted systems with purified components
Create partial function mutants rather than complete knockouts
Symbiotic phenotype assessment:
Phenotypes may only manifest during symbiosis with soybean
Solution: Develop plant growth systems that allow controlled nodulation
Use fluorescent reporters to track bacteria within nodules
Comparison Table of Challenges and Solutions:
| Challenge Area | Specific Issues | Methodological Solutions |
|---|---|---|
| Growth characteristics | Extremely slow growth rate | Optimized media, patience, longer experimental timelines |
| High contamination risk | Selective media, strict aseptic technique | |
| Genetic manipulation | Spontaneous resistance | Dual selection, colony screening protocols |
| Low transformation efficiency | Optimized electroporation, alternative delivery methods | |
| Protein biochemistry | GC-rich gene expression | Codon optimization, specialized expression strains |
| Protein solubility issues | Buffer screening, fusion tags, chaperone co-expression | |
| Functional analysis | Complex phenotypes | In vitro reconstitution, partial function mutants |
| Symbiotic phenotypes | Controlled plant systems, fluorescent tracking |
These technical challenges explain why RecR function in B. japonicum remains less characterized compared to model organisms, despite its agricultural importance.
Advances in systems biology are poised to revolutionize our understanding of RecR in B. japonicum through several integrative approaches:
Network-Based Understanding:
Interactome mapping:
Metabolic-repair pathway integration:
Multi-Omics Integration:
Layered data analysis:
Integrate transcriptomics, proteomics, metabolomics data
Apply machine learning to identify patterns in RecR regulation
Construct predictive models of RecR activity under different conditions
This approach could identify previously unknown regulatory factors
Temporal dynamics modeling:
Track changes in RecR function throughout symbiotic stages
Model DNA repair system transitions during bacteroid differentiation
Create mathematical models of DNA damage and repair kinetics
This would address how RecR function changes during the symbiotic lifecycle
Evolutionary Systems Biology:
Comparative genomic analysis:
Apply phylogenetic approaches similar to those used for multilocus sequence analysis
Reconstruct the evolutionary history of RecR across Bradyrhizobium species
Identify selective pressures on RecR in different ecological contexts
This could explain adaptation of repair systems to different host plants
Pan-genome analysis:
Synthetic Biology Applications:
Minimal RecR module design:
Identify the core components required for RecR function
Engineer simplified RecFOR systems for controlled DNA repair
Create synthetic circuits linking RecR activity to symbiotic outputs
This could lead to biotechnological applications in agriculture
Stress-responsive RecR systems:
Design synthetic genetic circuits that modulate RecR activity
Create feedback loops connecting DNA damage to repair system activation
This approach could enhance B. japonicum survival in agricultural settings
Predictive Modeling:
Based on systems biology data, computational models could predict:
How RecR function affects symbiotic efficiency under different field conditions
Optimal RecR expression levels for inoculant performance
How genetic variations in RecR impact strain competitiveness and nitrogen fixation
These advances would transform our understanding of RecR from a simple DNA repair protein to a key component in an integrated system linking genomic integrity, symbiotic efficiency, and agricultural productivity.
Recent genomic analyses have provided significant insights into RecR conservation patterns across Bradyrhizobium species:
Conservation Patterns:
Comparative genomic studies indicate that recR is part of the core genome in Bradyrhizobium species, showing higher conservation than many symbiotic genes. This conservation pattern reflects the essential nature of DNA repair functions across different ecological niches.
The multilocus sequence analysis (MLSA) approaches used to study Bradyrhizobium populations reveal that housekeeping genes (including DNA repair genes) generally show different evolutionary patterns compared to symbiotic genes:
| Gene Category | Conservation Level | Evolutionary Rate | Location in Genome |
|---|---|---|---|
| Core DNA repair (incl. recR) | High | Slow | Chromosome backbone |
| Symbiotic genes | Variable | Faster | Often in islands |
| Accessory genes | Low | Rapid | Mobile elements, islands |
Nucleotide Polymorphism Patterns:
Analysis of DNA polymorphisms in Bradyrhizobium populations using approaches similar to those described in search result would likely show:
Lower nucleotide diversity (π) in recR compared to symbiotic genes
Population genetic structures reflecting purifying selection on recR
Limited recombination events affecting the recR locus compared to other regions
Genomic Context Conservation:
The complete genome sequence of B. japonicum USDA110 revealed that the 9.1 Mb chromosome contains a single set of essential repair genes . The recR gene is likely located in the conserved backbone of the chromosome rather than in the "symbiotic island" regions that show greater variability between strains.
Recent comparative genomic analysis of B. japonicum and B. diazoefficiens strains has identified significant genetic variation between closely related strains, including:
Horizontal gene transfer events
Genomic rearrangements
Nucleotide polymorphisms
Taxonomic Implications:
The reclassification of some B. japonicum strains into B. diazoefficiens was based partly on molecular phylogeny of core genes. Given RecR's essential function, its sequence conservation versus divergence could provide valuable information for understanding the evolutionary relationships between Bradyrhizobium species and strains.
The genetic variability observed between B. japonicum and B. diazoefficiens groups, particularly in their pangenome size and nucleotide polymorphism frequency , suggests potential adaptation of DNA repair systems to different environmental conditions, which may include subtle adaptations in RecR function or regulation.
Environmental stressors significantly impact RecR function in B. japonicum, with implications for both free-living survival and symbiotic performance:
Oxidative Stress Responses:
During nodule development and nitrogen fixation, B. japonicum encounters high levels of reactive oxygen species (ROS) that can damage DNA:
RecR regulation under oxidative stress:
Expression of recR likely increases under oxidative conditions
The RecFOR pathway becomes critical for repairing oxidative DNA damage
This response is particularly important in bacteroids within nodules
Methodological approach to study:
Measure recR expression in response to H₂O₂, paraquat, and other ROS generators
Assess survival of recR mutants under oxidative challenge
Quantify DNA damage (e.g., 8-oxoguanine levels) in wild-type vs. recR mutants
Temperature and Desiccation Effects:
B. japonicum inoculants face harsh temperature fluctuations and desiccation when applied to seeds:
Impact on RecR function:
Experimental evidence:
Soil Acidity and Metal Toxicity:
Many agricultural soils present acidic conditions and metal toxicity:
RecR adaptation mechanisms:
B. japonicum strains isolated from acidic soils may have evolved specialized RecR variants
Metal ions (particularly Al³⁺) can induce DNA damage requiring RecR-dependent repair
pH fluctuations may affect RecR protein-protein interactions
Practical implications:
Selection of B. japonicum strains with optimized RecR function for specific soil conditions
Development of inoculant formulations that protect DNA repair systems
Field-to-Laboratory Translation:
Studies comparing natural B. japonicum variants from different field conditions provide insights into environmental adaptation of DNA repair systems:
| Environmental Stress | Effect on DNA | RecR Response | Agricultural Implication |
|---|---|---|---|
| High temperature | Increases mutation rate | Enhanced repair needed | Heat-tolerant strains may have adapted RecR |
| Desiccation | DNA strand breaks | Critical for recovery | Improved inoculant formulation |
| Soil acidity | Base modifications | pH-stable RecR required | Strain selection for acidic soils |
| UV radiation | Photoproducts | Helps restart stalled replication | Exposure during application |