This protein is a component of the ribosomal stalk, facilitating ribosome interaction with GTP-bound translation factors.
KEGG: bld:BLi00120
STRING: 279010.BLi00120
The 50S ribosomal protein L11 forms a critical part of the ribosomal stalk that helps the ribosome interact with GTP-bound translation factors during protein synthesis . This interaction is essential for proper translational efficiency and accuracy. Additionally, ribosomal protein L11 has been shown to bind to and suppress the E3 ligase function of HDM2, thus activating p53 in certain systems . In bacterial ribosomes, L11 belongs to the universal ribosomal protein uL11 family, indicating its highly conserved and essential nature across bacterial species .
For effective recombinant expression of B. licheniformis rplK, E. coli-based expression systems typically provide good yields for bacterial proteins. Key considerations include:
Vector selection: pET series vectors with T7 promoter systems offer high expression levels for bacterial proteins
Host strain optimization: BL21(DE3) derivatives designed for expression of proteins from Gram-positive bacteria often improve yields
Expression conditions: Induction at lower temperatures (16-25°C) may improve solubility
Purification approach: Histidine-tagged constructs allow for efficient purification via nickel affinity chromatography
When designing expression constructs, researchers should account for the protein's natural characteristics - similar to the reference L11 protein which has a length of 142 amino acids and mass of 15.2 kDa .
Purification of recombinant rplK requires careful optimization to preserve its native structure and function:
Lysis buffer composition: Use buffers containing 20-50 mM Tris-HCl (pH 7.5-8.0), 100-300 mM NaCl, 5-10% glycerol, and 1-5 mM β-mercaptoethanol
Purification strategy:
Initial capture: Immobilized metal affinity chromatography (IMAC)
Intermediate purification: Ion exchange chromatography
Polishing: Size exclusion chromatography
Quality control metrics:
SDS-PAGE for purity assessment (expected band at ~15-16 kDa)
Western blotting with anti-L11 antibodies
Mass spectrometry for identity confirmation
During purification, monitor the protein's functional integrity through binding assays with GTP-bound translation factors to verify that the ribosomal stalk interaction capability remains intact .
To characterize interactions between rplK and translation factors:
Binding assays:
Surface plasmon resonance (SPR) to determine binding kinetics (kon, koff) and affinity (KD)
Microscale thermophoresis (MST) for solution-based interaction analysis
Isothermal titration calorimetry (ITC) for thermodynamic profiling
Structural analysis methods:
X-ray crystallography of the rplK-factor complex
Cryo-electron microscopy to visualize interaction in near-native state
NMR spectroscopy for dynamic interaction mapping
Functional validation:
In vitro translation assays measuring the impact of wild-type versus mutant rplK
GTPase activity assays to assess factor activation by rplK
Document all experimental parameters thoroughly, including buffer compositions, protein concentrations, and instrument settings to ensure reproducibility.
The role of rplK in stress response can be investigated using these methodological approaches:
Stress induction experiments:
Heat shock (42-45°C)
Nutrient limitation
Antibiotic exposure (sublethal concentrations)
Quantitative analyses:
qRT-PCR to measure changes in rplK expression under stress conditions
Ribosome profiling to assess ribosome composition changes
Proteomics to identify stress-dependent interaction partners
Functional investigations:
Generation of conditional rplK mutants to assess growth under stress
Complementation studies with wild-type versus mutant rplK
This approach parallels methods used to study B. licheniformis responses in other contexts, such as those described for volatile compound production and antifungal activity .
To investigate post-translational modifications (PTMs) of rplK:
PTM identification strategy:
| Method | Application | Resolution | Sample requirement |
|---|---|---|---|
| LC-MS/MS | Global PTM mapping | High | 1-10 μg purified protein |
| 2D-PAGE | Visual PTM screening | Medium | 50-100 μg protein extract |
| Western blot | Targeted PTM detection | Medium | 10-50 μg protein extract |
| Top-down proteomics | Intact protein analysis | Very high | 1-5 μg highly purified protein |
Site-directed mutagenesis: Generate point mutations at putative modification sites to assess functional impact
Enrichment techniques: Develop specific enrichment methods for phosphorylation, methylation, or acetylation to increase detection sensitivity
These approaches should be complemented with functional assays to determine how specific modifications impact rplK's role in translation.
B. licheniformis has demonstrated significant antifungal activity through volatile compounds . To explore potential connections between rplK and these properties:
Comparative expression analysis:
Measure rplK expression levels during antifungal volatile production
Compare ribosome composition during active volatile production versus non-producing conditions
Functional genomics approach:
Create rplK conditional mutants and assess impact on volatile production
Perform ribosome profiling to identify translational changes affecting antifungal pathways
Protein-focused investigations:
Immunoprecipitation of rplK to identify interaction partners involved in secondary metabolite production
Structural analysis of ribosomes during volatile compound synthesis
This research direction connects to established methods for B. licheniformis volatile collection and analysis as described in the research literature .
When addressing contradictory findings about rplK function:
Systematic literature review:
Comparative experimental approach:
Design experiments that simultaneously test multiple hypotheses
Implement standardized protocols across different B. licheniformis strains
Include positive and negative controls from other bacterial species
Statistical validation:
Power analysis to determine appropriate sample sizes
Multiple statistical tests to evaluate significance
Meta-analysis techniques when combining results from different experiments
Verification strategy:
Employ multiple orthogonal techniques for each key finding
Validate in different growth conditions and genetic backgrounds
Collaborate with independent laboratories for confirmation
This methodological framework follows established research question formulation principles that emphasize clarity, focus, complexity, and feasibility .
Future research connecting rplK structural studies to antibiotic development should:
Structural determination approaches:
X-ray crystallography of purified B. licheniformis rplK (alone and in ribosomal context)
Cryo-EM structures of intact ribosomes with focus on L11-stalk region
NMR studies of dynamic regions that may differ from other bacterial species
Comparative analysis workflow:
Superimpose B. licheniformis rplK structures with pathogenic bacterial counterparts
Identify structural differences that could be exploited for selective targeting
Molecular dynamics simulations to reveal unique binding pocket characteristics
Structure-based drug design approach:
Virtual screening against identified unique structural features
Fragment-based design targeting L11-specific conformations
Development of peptide mimetics that disrupt specific L11 interactions
These approaches build upon demonstrated roles of L11 in ribosomal function while applying methodologies to identify species-specific features that could be therapeutically relevant .
For systems biology integration:
Multi-omics experimental design:
Transcriptomics: RNA-seq during various growth conditions
Proteomics: Quantitative proteomics with focus on translation machinery
Metabolomics: Targeted analysis of metabolites affected by translational regulation
Ribosome profiling: To connect rplK function to translational efficiency
Data integration framework:
Correlation networks linking rplK expression to global cellular processes
Pathway enrichment analysis to identify biological processes most affected by rplK
Predictive modeling of translation efficiency based on rplK status
Validation experiments:
CRISPR interference to modulate rplK expression
Targeted metabolic flux analysis to verify predicted changes
Growth phenotyping under diverse conditions to validate model predictions
This systems approach connects the molecular function of rplK to broader cellular phenotypes, including potentially the antifungal properties observed in B. licheniformis .