KEGG: bja:bll5381
STRING: 224911.bll5381
B. japonicum exhibits notable genomic differences when compared to related species such as B. diazoefficiens. B. japonicum typically possesses larger genomes, with strains like CPAC 15 showing distinctive genomic arrangements . Comparative genomic studies have revealed significant genome rearrangements between species, including "inversions of large genome regions, and also inversions or translocations of small regions" .
B. japonicum strains exhibit significant diversity, with different isolates showing varied symbiotic capabilities and environmental preferences. For instance, B. japonicum CPAC 15 (SEMIA 5079) demonstrates "outstanding saprophytic capacity and competitiveness," while other strains show different levels of nitrogen fixation efficiency . This strain diversity is evident across geographical locations, with studies showing that "the distribution of soybean-nodulating rhizobia in Japan was strongly correlated with latitude" .
While the search results don't specifically address strain variations in rplO, the observed genomic plasticity suggests potential strain-specific adaptations in fundamental cellular machinery. These variations could manifest as subtle sequence differences in ribosomal proteins that might affect translation efficiency under different environmental conditions or during symbiosis. Comparative analysis of B. japonicum strains reveals that up to 10% of their genomes consist of strain-exclusive genes , highlighting the potential for functional diversity even in generally conserved systems.
For optimal expression of recombinant B. japonicum rplO, researchers should consider several expression systems with specific optimization parameters:
Bacterial expression systems:
E. coli BL21(DE3) or its derivatives provide high-yield expression for many bacterial proteins
For challenging expressions, consider specialized strains like Rosetta (for rare codons) or Arctic Express (for low-temperature expression)
Expression vectors with T7 or tac promoters typically offer good control over expression levels
Expression optimization parameters:
Temperature: Testing both standard (37°C) and reduced temperatures (16-20°C) is crucial for optimizing soluble protein yield
Induction conditions: IPTG concentration (0.1-1.0 mM) and induction timing (OD600 0.6-0.8) should be optimized
Media composition: Complex media for high yield vs. minimal media for isotope labeling
Co-expression with chaperones may improve folding and solubility
Construct design considerations:
Affinity tags (His6, GST, MBP) for purification, with TEV or similar protease cleavage sites
Codon optimization for the expression host if B. japonicum codon usage differs significantly
Signal sequences if secretion or membrane targeting is desired
While commercial sources offer recombinant B. japonicum rplO , researchers studying specific strains or variants should optimize expression systems based on their unique experimental requirements.
Purification of ribosomal proteins including B. japonicum rplO presents several specific challenges:
Nucleic acid contamination:
Ribosomal proteins naturally bind RNA, leading to nucleic acid contamination
Solution: Include RNase treatment during purification and high-salt washing steps (0.5-1M NaCl)
Consider benzonase treatment early in purification
Use ion exchange chromatography to separate protein from residual nucleic acids
Solubility issues:
Ribosomal proteins often aggregate when expressed outside their normal ribosomal context
Solution: Use solubility-enhancing fusion partners (MBP, SUMO) rather than simple affinity tags
Add stabilizing agents (glycerol 5-10%, L-arginine 50-100 mM) to buffers
Consider on-column refolding protocols if the protein forms inclusion bodies
Purification strategy: A multi-step approach typically yields best results
Initial capture: Affinity chromatography based on fusion tag
Intermediate purification: Ion exchange chromatography
Polishing step: Size exclusion chromatography
Quality control considerations:
Verify purity by SDS-PAGE with silver staining for detection of low-level contaminants
Confirm identity by mass spectrometry
Assess homogeneity by dynamic light scattering
Test functionality through RNA binding assays
When working with multiple experimental variations, researchers should use standardized purification tables to track yield and purity across different conditions.
Verifying the structural integrity of purified recombinant B. japonicum rplO requires a multi-faceted approach:
Biophysical characterization:
Circular dichroism (CD) spectroscopy to assess secondary structure content and proper folding
Thermal shift assays (differential scanning fluorimetry) to determine stability and proper folding
Size exclusion chromatography with multi-angle light scattering (SEC-MALS) to confirm monodispersity and expected molecular weight
Nuclear magnetic resonance (NMR) spectroscopy for more detailed structural assessment if isotope-labeled protein is available
Functional verification:
RNA binding assays to confirm interaction with ribosomal RNA
Assembly assays with other ribosomal components to verify proper incorporation into ribosomal subunits
Activity assays measuring contribution to in vitro translation, if available
Comparative analyses:
Comparison to other bacterial L15 proteins of known structure
Structural predictions using AlphaFold or similar tools can provide reference models
If known, comparison to native protein isolated from B. japonicum ribosomes
Stability and homogeneity assessment:
Testing long-term stability under various storage conditions
Evaluating batch-to-batch consistency with the above methods
Analyzing freeze-thaw stability if multiple experiments will use the same preparation
These verification steps are essential before proceeding to advanced structural or functional studies to ensure that any observed properties reflect the native characteristics of the protein rather than artifacts of the recombinant expression and purification process.
Recombinant B. japonicum rplO can serve as a valuable tool for investigating the molecular basis of symbiotic capabilities through several research approaches:
Translation regulation during symbiosis:
Using recombinant rplO to study potential modifications or regulatory mechanisms affecting ribosome function during symbiosis
Investigating how protein synthesis rates and specificity might change during nodule formation and nitrogen fixation
Comparing rplO from strains with different symbiotic efficiencies, such as B. japonicum CPAC 15 versus B. diazoefficiens CPAC 7
Structural biology insights:
Structural characterization of rplO to identify features that might influence translation of symbiosis-specific mRNAs
Comparative structural analysis between different Bradyrhizobium strains to correlate structural features with symbiotic performance
Mapping potential interaction sites with symbiosis-specific factors
Systems biology integration:
Research indicates that B. japonicum strains vary significantly in their symbiotic performance. For example, B. japonicum CPAC 15 shows outstanding "saprophytic capacity and competitiveness," while B. diazoefficiens CPAC 7 demonstrates "high efficiency in fixing nitrogen" . Understanding how fundamental cellular machinery, including ribosomal proteins like rplO, contributes to these phenotypic differences could provide valuable insights into symbiotic efficiency.
Comparative analysis of rplO across different Bradyrhizobium strains can reveal important insights into bacterial adaptation:
Strain diversity patterns:
Bradyrhizobium strains show significant diversity, with studies revealing geographical distribution patterns correlated with latitude and environmental conditions
The distribution changes from predominantly B. japonicum strains in northern regions to B. elkanii in southern regions
Genetic diversity also correlates with soil properties and climate conditions
Genomic context variations:
Genome comparisons between strains like B. japonicum CPAC 15, USDA 6, B. diazoefficiens CPAC 7, and USDA 110 reveal substantial rearrangements
These rearrangements include inversions and translocations that could affect the genomic neighborhood of core genes like rplO
Approximately 10% of genes in each strain are exclusive to that strain, highlighting the potential for strain-specific adaptations even in conserved systems
Functional implications:
Variations in ribosomal proteins might contribute to differential translation efficiency under specific environmental conditions
Such differences could partially explain why certain strains perform better in specific geographical regions or soil types
Strain-specific adaptations in fundamental cellular machinery may contribute to the observed differences in symbiotic efficiency and competitiveness
A comparative analysis of rplO sequences and expression patterns across strains adapted to different environments could help identify signatures of selection and adaptation, potentially revealing how this fundamental component of cellular machinery contributes to the ecological success and symbiotic capabilities of different Bradyrhizobium strains.
Experimental evolution studies with B. japonicum offer valuable insights into the evolution of ribosomal proteins like rplO:
Evolution under host-free conditions:
Research has shown that bacterial mutualists often lose symbiotic function when evolved outside of their host
B. japonicum strains evolved under host-free in vitro conditions can experience erosion of symbiotic traits
These experimental approaches can reveal how selection pressures affect fundamental cellular machinery versus symbiosis-specific functions
Evolutionary stability of ribosomal proteins:
While symbiosis islands may be readily lost or mutated during evolution outside the host , core cellular functions including ribosomal proteins typically show greater evolutionary stability
Experimental evolution can reveal whether ribosomal proteins experience selective pressures related to growth rate optimization versus symbiotic function
Sequential sampling during experimental evolution allows tracking of molecular changes over time
Methodological approaches:
Serial passaging in culture media like MAG (modified arabinose gluconate) has been used to experimentally evolve B. japonicum strains
Strains can be evolved for multiple cycles, with periodic archiving and phenotypic testing
Comparison of ancestral versus evolved strains can reveal genetic and functional changes
Insights from existing studies:
An experimental evolution approach focused specifically on tracking changes in rplO sequence, expression, and function could provide valuable insights into the evolutionary stability of ribosomal machinery versus adaptation-specific components, contributing to our understanding of how fundamental cellular processes evolve in the context of symbiotic relationships.
Researchers working with recombinant B. japonicum rplO should be aware of several common pitfalls in functional assays:
Protein quality issues:
Incomplete folding or partial denaturation can lead to misleading functional results
RNA contamination from expression host can interfere with RNA binding assays
Tag interference with function if affinity tags are not removed prior to assays
Solution: Implement rigorous quality control checks before functional testing, including thermal shift assays and size exclusion chromatography
Assay-specific challenges:
For RNA binding assays: Non-specific binding can obscure specific interactions
For ribosome assembly assays: Interference from co-purifying factors from the expression host
For in vitro translation: Background activity from contaminating translation factors
Solution: Include appropriate controls (non-binding mutants, competing ligands) and perform dose-response experiments
Interpretation errors:
Overinterpretation of in vitro results without cellular context
Failure to account for strain-specific differences when comparing to literature
Overlooking potential moonlighting functions beyond canonical ribosomal roles
Solution: Validate key findings across multiple assay formats and relate to in vivo observations when possible
Technical considerations:
Buffer incompatibilities between purification and assay conditions
Protein instability during assay timeframes
Batch-to-batch variability affecting reproducibility
Solution: Develop standardized protocols with detailed documentation of all parameters and implement quality benchmarks
When designing functional assays for rplO, researchers should consider the ecological context of B. japonicum, including its symbiotic relationship with legumes and adaptation to different soil environments , to ensure that assay conditions are relevant to the protein's natural function.
For robust analysis of comparative data on rplO across different B. japonicum strains, researchers should follow these methodological approaches:
As an example, researchers have used PCR-RFLP analysis of the 16S-23S rRNA gene ITS region to study the geographical distribution of indigenous soybean-nodulating rhizobia in Japan, finding a strong correlation with latitude (r² ≥0.924) . Similar approaches could be applied to rplO to investigate potential correlations with environmental factors or symbiotic performance.
Quantitative interaction analysis:
For direct binding assays (SPR, BLI, ITC): Apply appropriate binding models (1:1, heterogeneous ligand)
Calculate binding parameters (KD, kon, koff) with confidence intervals
Use statistical tests (F-test, AIC) to compare alternative binding models
Implement global fitting across multiple experiments to improve parameter estimation
Network-based analysis for interactome studies:
Calculate interaction confidence scores based on multiple detection methods
Apply graph theory metrics to identify key interaction partners
Use clustering algorithms to identify functional modules within the interaction network
Implement permutation tests to evaluate significance of observed network properties
Comparative interaction analysis across strains:
Use standardized protocols for cross-strain comparisons
Apply ANOVA or mixed-effects models for comparing interaction strengths across multiple strains
Implement multiple testing correction (FDR) when screening numerous potential interactions
Correlate interaction differences with strain-specific phenotypes or ecological parameters
Data visualization and reporting:
Present both raw data and fitted models
Include statistical measures of uncertainty (confidence intervals, standard errors)
Use consistent interaction scoring methods when comparing across experiments
Provide all parameters and boundary conditions used in analysis
Validation approaches:
Confirm key interactions using orthogonal methods
Implement mutagenesis studies to verify interaction interfaces
Test functional consequences of disrupting identified interactions
Compare with homologous interactions from related bacterial species
When studying rplO interactions, researchers should consider both canonical interactions within the ribosome and potential noncanonical interactions that might be relevant to B. japonicum's symbiotic lifestyle or environmental adaptation .
When encountering challenges with expression and purification of recombinant B. japonicum rplO, researchers should implement a systematic troubleshooting approach:
Expression troubleshooting methodology:
Systematically vary expression conditions (temperature, induction timing, media composition)
Test multiple expression vectors with different promoters and fusion tags
Evaluate different E. coli host strains (BL21, Rosetta, Arctic Express)
Analyze protein expression at both mRNA and protein levels to identify bottlenecks
Solubility enhancement strategies:
Co-expression with molecular chaperones (GroEL/ES, DnaK/J)
Addition of solubility-enhancing fusion partners (MBP, SUMO, Trx)
Optimization of cell lysis conditions (detergents, salt concentration)
Screen buffer compositions using high-throughput approaches
Purification optimization methodology:
Implement a decision tree approach to purification strategy development
Start with small-scale purifications to rapidly test multiple conditions
Use orthogonal purification techniques to address specific contaminants
Develop quantitative assays for purity, yield, and activity
Systematic record-keeping:
Document all experimental conditions in a standardized format
Create troubleshooting tables tracking outcomes across multiple conditions
Implement quality control checkpoints throughout the process
Maintain detailed records of successful and unsuccessful approaches
| Expression Variable | Test Range | Outcome Metric | Optimal Condition |
|---|---|---|---|
| Temperature | 15°C, 25°C, 37°C | Soluble yield | 25°C |
| IPTG concentration | 0.1, 0.5, 1.0 mM | Total expression | 0.5 mM |
| Induction OD600 | 0.4, 0.8, 1.2 | Soluble fraction | 0.8 |
| Lysis buffer pH | 6.5, 7.5, 8.5 | Recovery from lysate | 7.5 |
When troubleshooting specific issues with B. japonicum rplO, researchers should consider its potential unique properties as a ribosomal protein from a symbiotic bacterium adapted to specific environmental conditions .
The potential role of rplO in environmental adaptation of B. japonicum presents several interesting research directions:
Comparative genomics approaches:
Analysis of rplO sequence conservation across B. japonicum strains from diverse environments
Correlation of sequence variations with environmental parameters (soil pH, temperature ranges, precipitation)
Investigation of selection signatures in rplO compared to housekeeping genes
Integration with whole-genome adaptation patterns observed across geographical distributions
Functional adaptation hypotheses:
Ribosomal proteins like rplO may contribute to translation efficiency under specific environmental stressors
Different variants might optimize protein synthesis at different temperatures or pH conditions
Subtle adaptation of the translation apparatus could affect expression of environmentally responsive genes
Research shows B. japonicum strains exhibit geographical distribution patterns strongly correlated with latitude (r² ≥0.924) , suggesting adaptation to local conditions
Experimental approaches to test adaptation hypotheses:
Expression of rplO variants in heterologous systems to test functional differences
Growth competition assays between strains with different rplO variants under various conditions
Ribosome profiling to detect differences in translation efficiency of specific mRNAs
Site-directed mutagenesis to test the impact of naturally occurring variations
Research has shown that "the genetic diversity of soybean-nodulating bradyrhizobia in relation to climate depending on altitude and soil properties" varies significantly , providing context for investigating how fundamental cellular components like rplO might contribute to these adaptation patterns.
Several emerging technologies hold promise for advancing our understanding of B. japonicum rplO structure and function:
Structural biology innovations:
Cryo-electron microscopy for high-resolution structure determination of rplO within the intact ribosome
Integrative structural biology approaches combining multiple data types (crystallography, NMR, crosslinking)
AlphaFold2 and other AI-based structure prediction tools for modeling strain-specific variations
Time-resolved structural techniques to capture dynamic conformational changes during function
Functional genomics approaches:
CRISPR-based engineering of B. japonicum to create precise rplO variants
Ribosome profiling to assess translation dynamics and efficiency in different strains or conditions
Proximity labeling techniques to identify novel interaction partners in vivo
High-throughput mutagenesis coupled with deep sequencing to map structure-function relationships
Systems biology integration:
Multi-omics approaches combining proteomics, transcriptomics, and metabolomics
Network analysis to position rplO within the broader cellular context
Mathematical modeling of translation dynamics incorporating strain-specific parameters
Integration with phenotypic data on symbiotic efficiency and environmental adaptation
In situ techniques:
Advanced microscopy methods to visualize ribosome distribution and activity during symbiosis
In planta studies of translation dynamics during nodule formation and nitrogen fixation
Single-cell approaches to detect heterogeneity in ribosome function within bacterial populations
Field-based studies correlating rplO variants with performance in different agricultural settings
These technologies could help bridge the gap between molecular details and ecological significance, providing insights into how fundamental cellular machinery like rplO contributes to the success of B. japonicum in diverse environments and symbiotic relationships.