Recombinant Bacillus thuringiensis subsp. konkukian 30S ribosomal protein S6, encoded by the gene rpsF, is a crucial component of the bacterial ribosome. This protein plays a significant role in the assembly and function of the ribosome, which is essential for protein synthesis in bacteria. The recombinant form of this protein is produced through genetic engineering techniques, allowing for its expression in various host organisms such as yeast or E. coli.
The 30S ribosomal protein S6 is involved in the binding of the 16S ribosomal RNA, specifically interacting with another ribosomal protein, S18, to form a heterodimer. This interaction is crucial for the regulation of ribosomal protein synthesis and is mediated by the rpsF leader RNA structure, which precedes the operon encoding rpsF and rpsR (the genes for S6 and S18, respectively) .
Protein Sequence: The sequence of the recombinant S6 protein from Bacillus thuringiensis subsp. konkukian is MRKYEIMYII RPGVEEEAQK ALVERFAGVL TNNGAEIINT KEWGKRRLAY EINDLREGFY MILNVNANAE AINEFDRLAK INEDILRHIV VKEEEK.
Expression Systems: This protein can be expressed in yeast or E. coli systems, with options for in vivo biotinylation in E. coli.
Purity: The recombinant protein is typically purified to a level of >85% using SDS-PAGE.
Research on the rpsF leader RNA structure has shown that it interacts with the S6:S18 complex to regulate gene expression, particularly in response to changes in ribosomal protein levels . Mutations in specific amino acids of S6, such as lysine 60 and arginine 63, can significantly reduce or abolish the binding affinity to the rpsF leader RNA, impacting regulatory functions .
The recombinant form of this protein can be used in various biotechnological applications, including studies on ribosomal assembly and function, as well as in the development of novel bioproducts. Understanding the regulation of ribosomal proteins is crucial for optimizing bacterial growth and productivity in industrial settings.
KEGG: btk:BT9727_5155
Bacillus thuringiensis subsp. konkukian (strain 97-27) represents a unique variant within the B. thuringiensis species. While B. thuringiensis is primarily known for producing insecticidal delta-endotoxins, this particular subspecies has distinctive characteristics that make it especially interesting for research. It was isolated from a case of severe human tissue necrosis, which is unusual since human infections by B. thuringiensis are rare . This strain is phylogenetically very closely related to Bacillus anthracis based on genomic analysis .
The 30S ribosomal protein S6 (rpsF) serves as an essential component of the small ribosomal subunit in prokaryotic organisms. Its primary functions include:
Working with recombinant rpsF offers several methodological advantages for researchers:
Controlled expression: Recombinant systems permit precise control over protein expression levels.
Protein purity: Recombinant expression followed by affinity purification yields highly pure protein preparations, often exceeding 90% purity .
Structural modifications: Researchers can introduce tags (His-tags, etc.) to facilitate purification and detection.
Mutational analysis: Site-directed mutagenesis allows for structure-function studies.
Scalability: Expression systems like E. coli enable production of sufficient quantities for structural and biochemical studies.
When expressed in appropriate host systems, recombinant rpsF maintains functional characteristics while offering experimental flexibility not possible with native protein isolation.
When designing experiments to investigate rpsF functions, researchers should adhere to rigorous experimental design principles:
Clear hypothesis formulation: Begin by defining specific research questions and formulating testable hypotheses regarding rpsF function .
Variable control: Identify and manage:
Randomization: Implement randomization strategies to minimize systematic biases in experimental conditions .
Appropriate controls: Include both positive and negative controls in all experimental setups.
Statistical power analysis: Determine appropriate sample sizes before experimentation to ensure sufficient statistical power.
| Experimental Design Type | Application for rpsF Studies | Advantages | Limitations |
|---|---|---|---|
| True experimental design | Structure-function relationships | Establishes causality | Resource intensive |
| Factorial design | Multiple factor interactions (e.g., temperature, pH, salt concentration) | Identifies interaction effects | Complex analysis |
| Time-series design | Kinetic studies of rpsF incorporation into ribosomes | Captures dynamic processes | Time-consuming |
| Randomized block design | Controlling for expression system variations | Reduces extraneous variation | Requires careful blocking |
For optimal design of protein-protein interaction studies involving rpsF:
When establishing expression systems for recombinant rpsF:
Host selection: E. coli is commonly used for recombinant protein expression due to its:
Vector design: Consider:
Promoter strength (inducible vs. constitutive)
Fusion tags for purification (His-tag, GST, etc.)
Codon optimization for the host organism
Expression conditions optimization:
Temperature (typically 25-37°C)
Induction timing and inducer concentration
Media composition and supplements
Protein solubility assessment: Monitor formation of inclusion bodies and optimize conditions to maximize soluble protein fraction.
Storage conditions: Store purified protein with glycerol at -20°C or -80°C for long-term stability .
Quality control: Verify protein integrity through SDS-PAGE, mass spectrometry, and functional assays.
The rpsF gene offers valuable insights for evolutionary studies within the Bacillus cereus group:
Phylogenetic analysis: As a highly conserved ribosomal protein, rpsF sequences can be used to:
Comparative genomics approach:
Analyze selection pressures on rpsF across different ecological niches
Identify strain-specific sequence variations that might correlate with pathogenicity
Study horizontal gene transfer events involving ribosomal operons
Structural conservation analysis:
Examine conservation of functional domains across species
Correlate structural variations with ecological adaptations
Identify regions under purifying vs. diversifying selection
Application to taxonomic questions:
While ribosomal proteins primarily function in protein synthesis, research suggests potential roles in pathogenicity:
Moonlighting functions: Ribosomal proteins may perform secondary functions beyond translation, including:
Interactions with host cellular components
Immunomodulatory effects
Contributions to biofilm formation
Translational regulation of virulence factors:
Stress response connection:
Ribosomal proteins often respond to environmental stressors
Stress conditions encountered during infection might alter rpsF expression or modification
These changes could coordinate expression of virulence factors
Experimental approaches:
Comparative proteomics between pathogenic and non-pathogenic strains
rpsF knockout/knockdown studies examining virulence phenotypes
Host-pathogen interaction assays with rpsF variants
Structural analysis of rpsF provides valuable insights into ribosomal assembly:
Assembly pathway mapping:
Determining whether rpsF is an early or late assembly protein in the 30S subunit
Identifying binding partners during the assembly process
Establishing the temporal sequence of assembly events
Conformational changes:
Analyzing structural rearrangements during incorporation into the ribosome
Examining allosteric effects on neighboring ribosomal components
Identifying flexible regions that facilitate assembly
Interaction surfaces:
Mapping critical residues for RNA-protein interactions
Characterizing protein-protein interaction networks within the assembled ribosome
Identifying species-specific interaction patterns
Methodological approaches:
Cryo-electron microscopy of assembly intermediates
Hydrogen-deuterium exchange mass spectrometry
FRET-based studies of conformational dynamics
Computational modeling of assembly pathways
For effective purification of recombinant rpsF:
Initial considerations:
Expression level assessment via small-scale pilot experiments
Solubility testing under various buffer conditions
Optimization of cell lysis protocols to minimize proteolytic degradation
Chromatography sequence:
Affinity chromatography (utilizing fusion tags) as the primary capture step
Ion exchange chromatography for removing contaminating nucleic acids
Size exclusion chromatography as a polishing step
Buffer optimization:
pH range typically 7.0-8.0 to maintain stability
Salt concentration adjustment to prevent aggregation
Addition of reducing agents to maintain cysteine residues in reduced state
Quality assessment:
Storage considerations:
To assess functional consequences of rpsF mutations:
In vitro translation systems:
Reconstituted ribosomes with mutant rpsF variants
Measurement of translation efficiency using reporter systems
Analysis of translation fidelity through misincorporation assays
Structural integrity assessment:
Circular dichroism to monitor secondary structure changes
Thermal shift assays to evaluate stability alterations
Limited proteolysis to identify conformational differences
Incorporation studies:
Monitoring kinetics of mutant rpsF incorporation into ribosomes
Competition assays between wild-type and mutant proteins
Analysis of ribosomal subunit assembly efficiency
Complementation experiments:
Expression of mutant rpsF variants in conditional knockdown strains
Growth rate analysis under various conditions
Proteome-wide effects through comparative proteomics
Data analysis considerations:
For comprehensive analysis of rpsF-RNA interactions:
Binding affinity determination:
Electrophoretic mobility shift assays (EMSA)
Filter binding assays
Surface plasmon resonance (SPR)
Microscale thermophoresis (MST)
Isothermal titration calorimetry (ITC)
Interaction mapping:
RNA footprinting techniques (chemical and enzymatic)
Crosslinking approaches followed by mass spectrometry
SELEX (Systematic Evolution of Ligands by Exponential Enrichment) for identifying optimal binding sequences
Structural characterization:
Nuclear magnetic resonance (NMR) spectroscopy for solution structure
X-ray crystallography for high-resolution complex structures
Cryo-electron microscopy for visualization in ribosomal context
Functional consequences:
Impact on RNA stability and folding kinetics
Effects on recruitment of additional ribosomal components
Influence on translation initiation efficiency
Computational approaches:
Molecular dynamics simulations of interaction interfaces
RNA secondary structure prediction in presence/absence of rpsF
Machine learning-based prediction of interaction sites
While rpsF itself is not directly involved in the insecticidal activity of B. thuringiensis, research on this ribosomal protein can contribute to understanding toxin production mechanisms:
Translational regulation of toxin genes:
Ribosomal composition may influence efficiency of Cry toxin translation
Alterations in rpsF could potentially affect toxin production levels
Correlation studies between ribosomal protein variants and toxin expression patterns
Stress response connection:
Environmental conditions triggering toxin production also affect ribosomal composition
rpsF may participate in stress-response translation regulation during sporulation
Examining rpsF modifications under toxin-inducing conditions
Evolutionary perspective:
Comparing rpsF sequences between highly insecticidal and weakly insecticidal strains
Investigating co-evolution of translational machinery and toxin genes
Examining horizontal gene transfer events involving both ribosomal and toxin genes
Methodological approach:
Investigating environmental regulation of rpsF presents several methodological challenges:
Experimental design considerations:
Measurement strategies:
Techniques for quantifying mRNA levels (qRT-PCR, RNA-Seq)
Protein quantification approaches (Western blotting, mass spectrometry)
Post-translational modification analysis
Distinguishing between new synthesis and protein turnover
Environmental variables to consider:
pH fluctuations mimicking insect gut environments
Nutrient limitation scenarios
Temperature variations reflecting environmental transitions
Presence of competing microorganisms
Data analysis complexities:
Multivariate statistical approaches for complex datasets
Time-series analysis for dynamic responses
Distinguishing direct from indirect effects
Accounting for bacterial growth phase variations
Validation approaches:
Reporter gene constructs to monitor promoter activity
In vitro transcription/translation systems with varied conditions
Complementary proteomics and transcriptomics data
Recombinant rpsF offers numerous applications in structural biology:
Crystallography studies:
High-purity recombinant protein is essential for crystallization
Co-crystallization with binding partners (RNA, proteins)
Structure determination at atomic resolution
Mapping of functional sites through structure-guided mutagenesis
Cryo-electron microscopy applications:
Visualization of rpsF within assembled ribosomes
Conformational states during ribosomal assembly
Structural changes associated with translation stages
Macromolecular complex formation studies
NMR spectroscopy approaches:
Solution structure determination
Dynamics studies revealing flexible regions
Interaction mapping with isotopically labeled binding partners
Conformational changes upon complex formation
Biophysical characterization:
Thermal stability assessment through differential scanning calorimetry
Conformational analysis via circular dichroism
Hydrodynamic properties through analytical ultracentrifugation
Structural integrity evaluation via limited proteolysis
Sample preparation considerations:
Several cutting-edge technologies show promise for advancing rpsF research:
Single-molecule approaches:
Optical tweezers to study ribosomal assembly dynamics
FRET-based techniques for conformational change analysis
Zero-mode waveguides for real-time translation monitoring
Nanopore-based detection of rpsF-RNA interactions
Advanced imaging techniques:
Super-resolution microscopy for subcellular localization
Cryo-electron tomography for in situ structural analysis
Correlative light and electron microscopy approaches
Label-free imaging methods to avoid tag interference
Computational advances:
Machine learning algorithms for predicting interaction networks
Molecular dynamics simulations with improved force fields
Quantum mechanical calculations for interaction energetics
Network analysis tools for systems-level integration
Genetic technologies:
CRISPR-Cas9 editing for precise genomic modifications
RNA-targeting approaches (CRISPR-Cas13) for expression modulation
Expanded genetic code incorporation for site-specific labeling
Inducible degron systems for temporal control of protein levels
Mass spectrometry innovations:
Cross-linking mass spectrometry for interaction mapping
Native mass spectrometry for complex integrity analysis
Top-down proteomics for post-translational modification characterization
Hydrogen-deuterium exchange for conformational dynamics studies
Establishing connections between rpsF and pathogenicity presents several challenges:
Causality determination:
Model system limitations:
Mechanistic complexity:
Integration of rpsF findings with known virulence factors
Accounting for strain-specific variations in pathogenicity
Understanding context-dependent gene expression
Elucidating the role of host factors in pathogenesis
Technical considerations:
Knowledge gaps:
Comparative analysis of rpsF offers valuable evolutionary insights:
Phylogenetic utility:
As a highly conserved gene, rpsF provides resolution for closely related species
Combination with other markers enhances phylogenetic accuracy
Analysis of selection pressures reveals evolutionary constraints
Identification of species-specific signatures within conserved regions
Evolutionary processes observable through rpsF:
Purifying selection maintaining core ribosomal functions
Potential adaptive evolution in specialized lineages
Horizontal gene transfer events involving ribosomal operons
Concerted evolution patterns across ribosomal genes
Taxonomic applications:
Methodological approaches:
Sequence-based comparisons across diverse isolates
Structure-based phylogenetics incorporating protein folding information
Population genetics analyses examining intraspecific variation
Molecular clock studies estimating divergence times
Ecological correlations: