Recombinant Bradyrhizobium japonicum 50S ribosomal protein L15 (rplO)

Shipped with Ice Packs
In Stock

Product Specs

Form
Lyophilized powder.
Note: While we will prioritize shipping the format currently in stock, please specify your preferred format in order notes if different. We will accommodate your request whenever possible.
Lead Time
Delivery times vary depending on the purchasing method and location. Please contact your local distributor for precise delivery estimates.
Note: All proteins are shipped with standard blue ice packs. Dry ice shipping requires advance notification and incurs additional charges.
Notes
Avoid repeated freeze-thaw cycles. Store working aliquots at 4°C for up to one week.
Reconstitution
Centrifuge the vial briefly before opening to collect the contents. Reconstitute the protein in sterile, deionized water to a concentration of 0.1-1.0 mg/mL. For long-term storage, we recommend adding 5-50% glycerol (final concentration) and aliquoting at -20°C/-80°C. Our standard glycerol concentration is 50%, but this can be adjusted as needed.
Shelf Life
Shelf life depends on several factors including storage conditions, buffer composition, temperature, and protein stability. Generally, liquid formulations have a 6-month shelf life at -20°C/-80°C, while lyophilized forms have a 12-month shelf life at -20°C/-80°C.
Storage Condition
Upon receipt, store at -20°C/-80°C. Aliquot for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
Tag type is determined during manufacturing.
The tag type is determined during the production process. If you require a specific tag, please inform us, and we will prioritize its development.
Synonyms
rplO; bll5381; 50S ribosomal protein L15
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-161
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Bradyrhizobium diazoefficiens (strain JCM 10833 / IAM 13628 / NBRC 14792 / USDA 110)
Target Names
rplO
Target Protein Sequence
MKLSDIADNA GSRKKRMRVG RGIGSGKGKQ SGRGGKGQTA RSGVRIKGFE GGQMPMHRRL PKRGFNNIFR VEFAEINLDR LQEAVDAKKI DAGSVVNVEA LVKGGVLRRA KGGLRLLGRG ELKSKLNIEV HGATKTAIAA VEKAGGSVKI LAPAKEEGEA A
Uniprot No.

Target Background

Function
Binds to the 23S rRNA.
Database Links

KEGG: bja:bll5381

STRING: 224911.bll5381

Protein Families
Universal ribosomal protein uL15 family

Q&A

How does B. japonicum compare genomically with other related species, and where does rplO fit in this context?

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" .

What strain-specific variations exist in B. japonicum, and how might they affect rplO function?

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.

What expression systems are optimal for producing recombinant B. japonicum rplO?

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.

What purification challenges are specific to ribosomal proteins like rplO, and how can they be addressed?

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.

How can researchers verify the structural integrity of purified recombinant rplO?

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.

How can recombinant rplO contribute to understanding B. japonicum symbiotic capabilities?

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:

    • Analyzing rplO in the context of the symbiosis island and other genomic features

    • Investigating potential co-evolution of ribosomal components with symbiosis genes

    • Network analysis to position rplO within the broader cellular processes supporting symbiosis

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.

How does rplO compare across different Bradyrhizobium strains, and what does this reveal about bacterial adaptation?

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.

What can experimental evolution studies with B. japonicum tell us about the evolution of ribosomal proteins like rplO?

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:

    • In B. japonicum, PCR analysis has shown that "multiple loci within the symbiosis island are mutated or deleted in non-nodulating lineages"

    • This suggests rapid evolution or deletion of symbiosis-related genes while core genomic regions may remain more stable

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.

What are the common pitfalls in functional assays involving recombinant B. japonicum rplO?

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.

How should researchers analyze data from comparative studies of rplO across different B. japonicum strains?

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.

What statistical approaches are most appropriate for analyzing protein-protein interaction data involving rplO?

  • 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 .

How can researchers effectively troubleshoot expression and purification issues with recombinant rplO?

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 VariableTest RangeOutcome MetricOptimal Condition
Temperature15°C, 25°C, 37°CSoluble yield25°C
IPTG concentration0.1, 0.5, 1.0 mMTotal expression0.5 mM
Induction OD6000.4, 0.8, 1.2Soluble fraction0.8
Lysis buffer pH6.5, 7.5, 8.5Recovery from lysate7.5

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 .

How might rplO contribute to environmental adaptation of B. japonicum strains?

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.

What emerging technologies could advance our understanding of rplO structure and function?

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.

Quick Inquiry

Personal Email Detected
Please use an institutional or corporate email address for inquiries. Personal email accounts ( such as Gmail, Yahoo, and Outlook) are not accepted. *
© Copyright 2025 TheBiotek. All Rights Reserved.