This protein is an early assembly component of the 50S ribosomal subunit, though it does not independently bind rRNA. It plays a crucial role in the early stages of 50S ribosomal subunit assembly.
KEGG: bja:bll4963
STRING: 224911.bll4963
The rplM protein in B. japonicum functions as an integral structural component of the large 50S ribosomal subunit, playing a crucial role in protein synthesis. Unlike some ribosomal proteins that are involved in early assembly stages (such as L15 which is "one of the early assembly proteins of the 50S ribosomal subunit" ), L13 contributes to ribosomal stability and translation fidelity. In the context of B. japonicum's symbiotic relationship with leguminous plants, properly functioning ribosomes are essential for expressing the proteins necessary for nodulation and nitrogen fixation processes.
Several expression systems can be used for producing recombinant B. japonicum rplM:
| Expression System | Advantages | Limitations | Typical Yield |
|---|---|---|---|
| E. coli | High yield, rapid growth, well-established protocols | Potential folding issues with some bacterial proteins | 10-30 mg/L |
| Yeast | Better post-translational modifications | Lower yield than E. coli, longer expression time | 5-15 mg/L |
| Baculovirus | Good for complex proteins, proper folding | More complex system, higher cost | 1-10 mg/L |
| Mammalian cell | Best for complex eukaryotic proteins | Highest cost, lowest yield, longest production time | 0.5-5 mg/L |
E. coli is most commonly used for bacterial ribosomal proteins like rplM due to its efficiency and cost-effectiveness .
To study rplM's role in protein synthesis:
Genetic manipulation approaches:
Create conditional knockdowns using inducible antisense RNA systems rather than complete knockouts, as rplM is likely essential
Use site-directed mutagenesis to modify specific amino acid residues predicted to be important for function
Construct fluorescently tagged versions for localization studies
Functional assays:
In vitro translation assays comparing activity of ribosomes with wild-type versus mutated rplM
Polysome profiling to evaluate ribosome assembly and translation efficiency
Measure growth rates and protein synthesis rates under various environmental conditions (particularly microaerobic conditions that mimic those in root nodules)
Controls:
Include wild-type B. japonicum strains in all experiments
Use another non-essential ribosomal protein as a comparative control
Test phenotypes in both free-living and symbiotic conditions
Experimental design should account for B. japonicum's relatively slow growth rate compared to model organisms like E. coli.
A multi-step purification approach typically yields the highest purity:
Initial clarification: After cell lysis, centrifuge at 15,000 × g for 30 minutes to remove cell debris.
Affinity chromatography: For His-tagged rplM constructs, use Ni-NTA columns with the following buffer conditions:
Binding buffer: 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10 mM imidazole
Wash buffer: 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 20 mM imidazole
Elution buffer: 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 250 mM imidazole
Ion exchange chromatography: Using the theoretical pI of rplM (typically 9.5-10.5 for ribosomal proteins), apply the sample to a cation exchange column (SP Sepharose) equilibrated with 20 mM HEPES pH 7.5, 50 mM NaCl. Elute with a gradient to 1 M NaCl.
Size exclusion chromatography: As a final polishing step, use Superdex 75 with buffer containing 20 mM Tris-HCl pH 7.5, 150 mM NaCl.
Expected purity after this protocol is >95% as assessed by SDS-PAGE and mass spectrometry.
To maintain structural integrity of purified rplM:
Short-term storage (1-2 weeks):
Store at 4°C in buffer containing 20 mM Tris-HCl pH 7.5, 150 mM NaCl, 1 mM DTT
Add protease inhibitors (e.g., PMSF or commercial cocktail) at recommended concentrations
Long-term storage:
Flash-freeze aliquots in liquid nitrogen and store at -80°C
Include cryoprotectants such as 10% glycerol or 5% trehalose
Avoid repeated freeze-thaw cycles
Stability monitoring:
Use circular dichroism (CD) spectroscopy before experiments to confirm protein remains properly folded
Run analytical size exclusion chromatography to check for aggregation
Researchers should validate storage conditions specifically for their preparation, as stability can vary depending on the construct design and purification method.
The rplM gene provides an excellent molecular marker for evolutionary studies due to its essential nature and sequence conservation. To use rplM effectively for phylogenetic analysis:
Sampling strategy:
Include diverse B. japonicum strains from different geographical regions and host plants
Compare with rplM sequences from related species like B. diazoefficiens USDA 110T and B. elkanii
Include other genera within Rhizobiaceae as outgroups
Analysis approach:
Sequence both the rplM gene and flanking regions to capture non-coding regulatory elements
Perform comparative analysis of synonymous vs. non-synonymous substitution rates (dN/dS) to identify selective pressures
Implement Bayesian phylogenetic methods to generate trees with confidence intervals
Integration with genomic data:
Compare rplM-based phylogenies with those generated from multiple housekeeping genes
Correlate evolutionary patterns with symbiotic efficiency or host range
This approach can help identify evolutionary events that may have contributed to adaptations in different Bradyrhizobium lineages, similar to studies that identified the divergence between B. japonicum and B. diazoefficiens .
While primarily a structural component of ribosomes, rplM may indirectly contribute to adaptation through:
Translational regulation:
Subtle sequence variations in rplM might affect the translation efficiency of specific mRNAs, particularly under stress conditions
Differential expression of rplM itself could serve as a regulatory mechanism during host colonization
Potential moonlighting functions:
Some ribosomal proteins have secondary functions beyond protein synthesis
Investigate interactions between rplM and non-ribosomal proteins through pull-down assays and mass spectrometry
Experimental approaches to test adaptation hypotheses:
Compare rplM sequences and expression patterns across B. japonicum strains with different host ranges
Measure translation rates of symbiosis-related genes in strains with native versus heterologous rplM
Conduct evolution experiments under selection for expanded host range to identify potential mutations in rplM
This research direction connects to broader questions about how B. japonicum adapts to different host plants, as seen in studies of host range genes located within the symbiosis island .
The function of rplM likely changes between free-living and symbiotic states due to the drastically different environments:
Expression pattern analysis:
RNA-seq data comparing free-living cultures to bacteroids isolated from nodules reveals differential expression patterns of ribosomal proteins
qRT-PCR validation focusing specifically on rplM expression under different oxygen conditions, as B. japonicum encounters microaerobic conditions in nodules
Protein modification differences:
Post-translational modifications of rplM may differ between states
Mass spectrometry analysis of rplM isolated from free-living bacteria versus bacteroids can identify modifications
Ribosome heterogeneity:
Specialized ribosomes with altered rplM content or modifications may form during symbiosis
Ribosome profiling experiments comparing free-living and symbiotic states can detect such changes
Research findings:
Preliminary studies suggest that translation machinery undergoes significant remodeling during symbiosis establishment, similar to the observed differential regulation of sigma factors (such as RpoN1 and RpoN2) that show condition-specific expression patterns in B. japonicum .
Generating rplM mutants presents several challenges:
Essential gene constraints:
Since ribosomal proteins are typically essential, complete knockouts may be lethal. Solutions include:
Creating conditional mutants using inducible promoters
Using CRISPR interference (CRISPRi) for partial knockdown
Generating point mutations that affect function without eliminating it entirely
Low transformation efficiency:
B. japonicum has naturally low transformation efficiency. Improvements include:
Homologous recombination challenges:
Verification strategies:
PCR verification may yield false positives; always confirm by sequencing
For essential genes, verify maintained expression of the conditional construct
Check for second-site suppressors that might restore growth
When facing contradictory data between in vitro and in vivo experiments:
Systematic validation approach:
Verify protein folding and activity in vitro using multiple assays
Confirm expression levels and localization in vivo through Western blots and immunofluorescence
Test intermediate conditions that bridge in vitro and in vivo environments
Consider environmental factors:
pH differences between test tube and cellular environments
Molecular crowding effects present in cells but absent in dilute solutions
Interaction partners present in vivo but missing in vitro
Statistical analysis framework:
Resolution strategies for specific contradictions:
For activity discrepancies: Test in semi-in vivo systems like cell extracts
For binding partner differences: Perform pull-downs from cell lysates vs. purified components
For functional outcomes: Develop more sensitive phenotypic assays
This methodological approach aligns with recommendations for improving reproducibility in biological research .
Rigorous quality control is essential:
Protein identity verification:
Mass spectrometry confirmation (MALDI-TOF or LC-MS/MS)
Western blot with antibodies specific to rplM or to tags
N-terminal sequencing of first 10 amino acids
Structural integrity assessment:
Circular dichroism (CD) spectroscopy to confirm secondary structure
Thermal shift assays to measure stability
Size exclusion chromatography to detect aggregation
Functional validation:
Ribosome binding assays
In vitro translation activity if incorporated into reconstituted ribosomes
RNA binding capacity tests if applicable
Batch consistency tests:
SDS-PAGE analysis of multiple production lots
Consistency in specific activity measurements
Endotoxin testing for preparations used in cell-based assays
Storage stability monitoring:
Regular testing of activity after different storage durations
Freeze-thaw stability tests
Accelerated stability studies at elevated temperatures
These quality control measures should be documented in a standardized format to ensure reproducibility across experiments and research groups.
Synthetic biology applications for B. japonicum rplM include:
These applications build on established techniques for genetic manipulation of B. japonicum, including broad host range gene transfer methods described in the literature .
Advanced computational approaches include:
This computational pipeline enables rational design of rplM variants with desired properties while minimizing experimental trial-and-error.
Understanding the relationship between rplM expression and symbiotic efficiency requires:
Comparative expression analysis:
qRT-PCR measurement of rplM expression in high vs. low efficiency strains
RNA-seq data comparing transcriptomes during different stages of nodulation
Proteomics analysis to correlate rplM protein levels with nitrogen fixation rates
Correlation methods:
Multivariate analysis to control for other factors affecting symbiotic efficiency
Time-series analysis to identify critical periods when rplM expression impacts nodulation
Meta-analysis of existing datasets on B. japonicum strain performance
Field-based validation:
Testing correlations in agricultural settings with different soil conditions
Measuring plant growth parameters alongside rplM expression in bacteroids
Long-term studies examining stability of the correlation across growing seasons
Research findings:
Preliminary studies comparing B. japonicum and B. diazoefficiens strains suggest that translation efficiency differences may contribute to variation in symbiotic performance. Strains with optimized ribosomal protein expression patterns tend to show enhanced nitrogen fixation capabilities, though direct causation has not yet been established .
This research direction connects to broader questions about the molecular basis of elite rhizobial inoculant performance in agricultural settings.