KEGG: tde:TDE0774
STRING: 243275.TDE0774
T. denticola 50S ribosomal protein L16 (rplP) is a 139 amino acid protein with a molecular mass of approximately 15.6 kDa. It belongs to the universal ribosomal protein uL16 family. The protein functions by binding to 23S rRNA and making contacts with the A and possibly P site tRNAs . As a component of the 50S ribosomal subunit, it plays a critical role in the peptidyltransferase center and protein synthesis machinery of T. denticola.
The amino acid sequence of T. denticola rplP shows conservation patterns typical of ribosomal proteins, with distinct differences from related species:
| Species | Length (aa) | Sequence | Identity with T. denticola |
|---|---|---|---|
| T. denticola (ATCC 35405) | 139 | MAFSPKRVKHRKVQRGRIKGEATRCNNIDFGDYALVSLEPFLLTNRQIEAARVALNRKIKRGGKLWIRVFPDKPYSKKPAEVRMGGGKGAPEYWVAVVKPGTIIFELAGVDKNLAEQAMTLAGSKLPFKTRFAEQIQAD | 100% |
| T. pallidum (SS14) | 139 | MALSPKRVKYRKVQRGRVKGDATRCNAVDFGAYALVCLEPFWLTSRQIEAARVALNRRIKRGGKLWIRVFPDKPYSKKPAETRMGKGKGSPEYWVAVVKPGTVLFELMGVERALAEQAMLLAGSKLPIKTRFAERVQEI | ~85% |
| E. coli (K12) | 136 | MLQPKRTKFRKMHKGRNRGLAQGTDVSFGSFGLKAVGRGRLTARQIEAARRAMTRAVKRQGKIWIRVFPDKPITEKPLAVRMGKGKGNVEYWVALIQPGKVLYEMDGVPEELAREAFKLAAAKLPIKTTFVTKTVM | ~60% |
The comparison reveals highly conserved regions involved in rRNA binding and ribosomal function, particularly in the central domain, while showing species-specific variations .
For optimal expression of recombinant T. denticola rplP, E. coli-based expression systems are generally recommended. The methodology involves:
Vector selection: pET expression vectors with T7 promoter systems work effectively for ribosomal proteins.
Host strain: BL21(DE3) or Rosetta strains address potential codon bias issues, as T. denticola has different codon usage patterns compared to E. coli.
Induction conditions: IPTG induction at lower temperatures (16-25°C) helps reduce inclusion body formation.
Codon optimization: Adjusting the T. denticola rplP sequence for E. coli expression systems can improve yield significantly.
Alternatively, cell-free protein synthesis may be employed when potential toxicity of overexpressed ribosomal proteins affects host cell viability .
A multi-step purification approach produces the highest purity functional protein:
Affinity chromatography: His-tagged rplP purification using Ni-NTA resin (optimal with C-terminal tag to avoid interfering with N-terminal rRNA binding)
Ion exchange chromatography: Using SP-Sepharose at pH 7.0 (as rplP has a calculated pI of approximately 10.5)
Size exclusion chromatography: Final polishing step using Superdex 75 column
For functional studies requiring native conformation:
Include RNase inhibitors throughout purification
Maintain reducing conditions (1-5 mM DTT or 2-10 mM β-mercaptoethanol)
Verify RNA-binding activity using gel shift assays with 23S rRNA fragments
Typical yields range from 5-10 mg per liter of E. coli culture under optimized conditions .
For successful amplification and cloning of T. denticola rplP, researchers should follow these methodological approaches:
Primer design strategy:
Forward primer: Include 5-10 nucleotide overhang, restriction site, and 18-25 nucleotides complementary to the 5′ end of the rplP gene
Reverse primer: Include stop codon (if needed), restriction site, and 18-25 nucleotides complementary to the 3′ end
Consider GC content (45-60%) and avoid secondary structures
Recommended PCR conditions:
Initial denaturation: 95°C for 2 minutes
35-40 cycles: 95°C for 30 seconds, 55-58°C for 30 seconds, 72°C for 1 minute
Final extension: 72°C for 5 minutes
Gene-specific considerations:
T. denticola has a low GC content (approximately 37-38%), necessitating careful primer design
Use 16S rRNA universal primers (AGAGTTTGATCMTGGCTCAG and ACCGCGGCTGCTGGCAC) as positive controls for DNA quality
For T. denticola-specific amplification, combine with species-specific primers like those targeting 16S rRNA: TAATACCGTATGTGCTCATTTACAT and TCAAAGAAGCATTCCCTCTTCTTCTTA
To effectively analyze rplP interactions with rRNA and tRNAs, researchers should employ multiple complementary approaches:
RNA binding assays:
Electrophoretic mobility shift assays (EMSA) with purified recombinant rplP and labeled 23S rRNA fragments
Filter binding assays for quantitative binding kinetics determination
Structural analysis methods:
Cryo-electron microscopy of reconstituted ribosomal subunits containing recombinant rplP
Chemical crosslinking followed by mass spectrometry to identify amino acid residues in direct contact with RNA
Hydroxyl radical footprinting to map rplP binding sites on 23S rRNA
Mutagenesis approach:
In vitro translation assays:
Functional comparison of T. denticola rplP with homologous proteins from other oral pathogens reveals important evolutionary and structural insights:
Functional conservation:
Core functions in rRNA binding and ribosome assembly are highly conserved across oral pathogens
The central domain involved in peptidyltransferase center formation shows >80% sequence identity across treponemes
Structural variations:
T. denticola rplP has unique surface-exposed regions compared to other oral spirochetes
These regions may interact with species-specific accessory proteins or represent adaptation to the periodontal environment
Evolutionary implications:
The high conservation of rplP across Treponema species (including both oral and systemic pathogens) provides potential targets for broad-spectrum antimicrobial development while species-specific regions may offer opportunities for diagnostic differentiation .
Comparative analysis of rplP across T. denticola strains provides valuable insights into strain diversity and evolution:
Sequence conservation patterns:
Core functional domains show >95% sequence identity across clinical isolates
Variations primarily occur in surface-exposed regions, suggesting potential immune selection
Strain classification:
Geographical distribution analysis:
Methodological approach:
PCR amplification using conserved flanking primers
Direct sequencing of amplicons to identify single nucleotide polymorphisms
Phylogenetic tree construction using maximum likelihood and Bayesian methods
This comparative approach can help resolve relationships between the six major clades of T. denticola identified through comprehensive MLSA studies .
Researchers frequently encounter several technical challenges when expressing recombinant T. denticola rplP. Here are methodological solutions to address these issues:
Low expression levels:
Challenge: T. denticola's low GC content (~38%) can lead to codon usage incompatibility in E. coli
Solution: Use codon-optimized synthetic genes or Rosetta strains containing rare tRNA genes. Expression in Rosetta(DE3)pLysS has shown 2-3 fold improvement over standard BL21(DE3) strains.
Protein aggregation/inclusion bodies:
Challenge: rplP tends to form inclusion bodies at high expression levels
Solution: Lower induction temperature (16-20°C), reduce IPTG concentration (0.1-0.3 mM), and co-express with chaperones (GroEL/GroES system). Including 5-10% glycerol in lysis buffer can improve solubility.
RNA contamination:
Challenge: Native RNA-binding activity of rplP results in co-purification with host RNA
Solution: Include high salt washes (0.8-1.0 M NaCl) during purification and treat with RNase A (10-50 μg/ml) before final chromatography steps.
Protein instability:
Challenge: Purified rplP can show degradation during storage
Solution: Store at -80°C in buffer containing 50 mM Tris-HCl pH 7.5, 300 mM NaCl, 1 mM DTT, and 10% glycerol. Adding protease inhibitors during purification is essential.
Functional verification:
Challenge: Confirming that recombinant protein retains native RNA-binding properties
Solution: Perform RNA gel-shift assays with synthetic 23S rRNA fragments containing the known binding regions.
When studying rplP-RNA interactions, distinguishing between artifacts and genuine results requires rigorous experimental design and appropriate controls:
Negative control strategy:
Use structurally similar but functionally distinct ribosomal proteins (e.g., L15 or L17)
Test binding to non-target RNA sequences
Include heat-denatured rplP samples to control for non-specific interactions
Validation through multiple methodologies:
Confirm interactions observed in EMSAs with filter binding assays
Corroborate binding data with chemical crosslinking results
Use isothermal titration calorimetry to obtain independent binding parameters
Artifact identification checklist:
RNA degradation: Run RNA integrity controls on gels
Protein aggregation: Perform dynamic light scattering before interaction studies
Buffer/salt effects: Test interactions across various ionic conditions (150-500 mM KCl)
Concentration considerations:
Use physiologically relevant protein:RNA ratios
Perform titration experiments to determine saturation points
Account for potential cooperative binding effects
Computational validation:
Compare experimental results with structural predictions
Use homology modeling based on known ribosomal crystal structures to predict and verify binding interfaces
Recombinant T. denticola rplP offers several sophisticated approaches to investigate virulence mechanisms in periodontal disease:
Immunological studies:
Generate anti-rplP antibodies to track T. denticola in polymicrobial biofilms
Examine potential cross-reactivity between rplP and host proteins, which may contribute to autoimmune aspects of periodontal disease
Investigate whether rplP is exposed or released during infection, potentially serving as a pathogen-associated molecular pattern (PAMP)
Comparative proteomics approach:
Host-pathogen interaction models:
Translational stalling investigation:
Examine whether T. denticola modulates translation of specific host genes through interactions between rplP and host ribosomes
Compare with known ribosome-targeting bacterial virulence mechanisms
Diagnostic marker development:
Structure-based drug design targeting T. denticola rplP presents a promising frontier in periodontal disease therapeutics:
Target validation approach:
Validate rplP essentiality through gene knockdown/knockout studies
Identify species-specific structural features of T. denticola rplP not present in human ribosomes
Perform molecular dynamics simulations to identify druggable pockets unique to bacterial rplP
Inhibitor design strategy:
Focus on regions that differ between human and bacterial ribosomal proteins
Design compounds that specifically disrupt rplP-23S rRNA interactions
Develop peptide mimetics based on known antibiotic binding sites in the peptidyltransferase center
Methodological workflow:
Obtain high-resolution structure through X-ray crystallography or cryo-EM
Perform in silico screening against compound libraries
Validate hits through binding assays and functional inhibition tests
Assess specificity using mammalian ribosomal translation systems
Practical considerations:
Design compounds with appropriate pharmacokinetics for the periodontal pocket environment
Consider local delivery mechanisms (gels, films, microspheres)
Evaluate potential for resistance development through mutation of the target
Combination therapeutic approach:
Integration of genomic and transcriptomic approaches with recombinant rplP studies provides comprehensive insights into T. denticola biology:
Multi-omics experimental design:
Compare rplP expression levels across different growth conditions and strain types
Correlate rplP expression with global transcriptomic changes during stress responses
Investigate potential regulatory roles beyond translation
Technical implementation:
Use RNA-Seq to determine expression patterns under various conditions
Apply ribosome profiling to examine translational regulation
Employ ChIP-Seq with anti-rplP antibodies to identify potential non-canonical interactions with DNA
Methodological workflow for co-expression analysis:
Generate RNA-Seq data from T. denticola under various conditions
Identify genes co-expressed with rplP using weighted gene co-expression network analysis
Validate key interactions using recombinant proteins and in vitro assays
Integration with structural biology:
Use recombinant rplP in structural studies of the T. denticola ribosome
Compare with whole-cell cryo-electron tomography to place findings in cellular context
Correlate structural variations with functional differences between strains
Application to strain typing and epidemiology:
This integrated approach allows researchers to place rplP function within the broader context of T. denticola cellular processes and periodontal disease pathogenesis.
Several cutting-edge technologies show promise for advancing T. denticola rplP research:
Cryo-electron microscopy applications:
Single-particle analysis of T. denticola ribosomes with native or modified rplP
Visualization of conformational changes during translation
Structure determination at near-atomic resolution to guide drug design
CRISPR-Cas9 genome editing in spirochetes:
Development of inducible knockdown/knockout systems for rplP
Creation of point mutations to test structure-function hypotheses
Engineering of fluorescently tagged rplP for localization studies
Advanced mass spectrometry approaches:
Hydrogen-deuterium exchange mass spectrometry to map protein-RNA interaction surfaces
Crosslinking mass spectrometry to identify interaction partners within the ribosome
Top-down proteomics to characterize post-translational modifications
Microfluidics and single-cell analysis:
Investigation of rplP expression heterogeneity in T. denticola populations
Real-time monitoring of translation in microfluidic chambers
Single-cell proteomics to correlate rplP levels with other virulence factors
Synthetic biology applications:
Creation of chimeric ribosomes with engineered rplP variants
Development of T. denticola-specific translational reporters
Engineering of orthogonal translation systems for antibiotic development
Research on T. denticola rplP has significant implications for understanding polymicrobial interactions in oral disease:
Microbial community interaction studies:
Investigate differential rplP expression in mono-culture versus polymicrobial communities
Examine potential horizontal gene transfer of ribosomal protein variants
Study metabolic interactions through selective inhibition of T. denticola translation
Methodological approaches:
Apply metaproteomics to detect and quantify rplP in clinical samples
Use antibodies against species-specific rplP epitopes for immunohistochemistry of biofilms
Develop rplP-based methods for microbial source tracking in oral infections
Translational research implications:
Target rplP to specifically inhibit T. denticola without disrupting beneficial microbiota
Develop diagnostic tools based on detection of rplP transcripts or proteins
Create vaccines targeting surface-exposed epitopes of rplP if identified
Integration with periodontal disease modeling:
One Health approach:
Compare rplP from human oral T. denticola with related spirochetes found in animal reservoirs
Investigate potential zoonotic transmission through comparative genomics
Study coevolution of ribosomal components in host-associated microbiomes
This broader understanding will contribute to developing more targeted and effective interventions for periodontal disease and potentially related systemic conditions.