Binds to the 23S rRNA.
KEGG: tde:TDE0786
STRING: 243275.TDE0786
Treponema denticola is an oral spirochete strongly implicated in periodontal disease pathogenesis. It functions as a keystone pathogen that, in association with other members of a complex polymicrobial oral biofilm, contributes to tissue damage and alveolar bone loss . Approximately 30% of the US adult population has at least one periodontal site with demonstrable gingival recession and bone loss . Unlike healthy gingival plaque dominated by facultative Gram-positive bacteria, periodontal lesions harbor a microflora dominated by proteolytic Gram-negative anaerobes and spirochetes . T. denticola numbers are highly elevated in the deepest recesses of active periodontal lesions and persist in cases refractory to standard treatments . Its significance extends beyond periodontal disease, as it serves as a model organism for studying Treponema physiology and host-microbe interactions .
While the search results don't specifically address rplO in T. denticola, ribosomal proteins generally function as components of the translation machinery. The 50S ribosomal protein L15 is part of the large ribosomal subunit involved in protein synthesis. Understanding ribosomal proteins in T. denticola is important because they can potentially have moonlighting functions beyond protein synthesis, including possible roles in stress response, virulence, or interactions with host components, similar to what has been observed with other bacterial ribosomal proteins.
Studying ribosomal proteins like rplO can provide insights into basic bacterial physiology and potentially virulence mechanisms. While major virulence factors like the major surface protein (Msp) and dentilisin protease complex have been extensively characterized , ribosomal proteins might contribute to bacterial adaptation in the host environment. Research into T. denticola proteins has revealed sophisticated mechanisms for protein expression, processing, and surface presentation that could be relevant to understanding how ribosomal proteins function in this organism.
Based on successful expression of other T. denticola proteins, researchers should consider:
| Expression System | Advantages | Challenges | Considerations for rplO |
|---|---|---|---|
| E. coli | High yield, economical | Potential folding issues | May require optimization of codon usage |
| Cell-free systems | Avoids toxicity issues | Higher cost | Useful if rplO is toxic to host cells |
| Co-expression systems | Better folding with partners | More complex setup | Consider co-expression with interacting ribosomal components |
For experimental validation, researchers have successfully used recombinant expression for various T. denticola proteins, including Msp domains . The expression system choice should be guided by the specific research questions about rplO structure or function.
Several mutagenesis approaches have proven successful with T. denticola proteins:
Targeted gene disruption using antibiotic resistance cassettes, as demonstrated with the dentilisin protease complex
Allelic replacement mutagenesis for precise genetic alterations
Site-directed mutagenesis of specific residues, exemplified by the Ser447→Ala mutation in PrtP
Domain deletions to assess functional regions, as shown with Msp N-terminal and C-terminal studies
Epitope tag substitutions to study protein domains, as demonstrated with FLAG tag insertions in Msp
For rplO research, these approaches could identify critical residues for ribosome assembly, protein stability, or potential secondary functions.
To verify structural integrity and function:
Mass spectrometry to confirm protein identity and modifications, as performed for Msp fragments
Circular dichroism spectroscopy to assess secondary structure
Size-exclusion chromatography to determine oligomeric state
In vitro translation assays to test functional incorporation into ribosomes
Complementation studies in rplO-deficient strains to verify biological activity
Researchers verified Msp structure through proteinase K treatment of intact cells, which released a 25 kDa polypeptide containing the surface epitope, subsequently characterized by LC-MS/MS . Similar approaches could identify structural features of rplO.
Advanced computational methods have proven valuable for T. denticola protein research:
Metagenome-derived multiple sequence alignment (MSA) algorithms used successfully for Msp modeling
Molecular modeling to predict three-dimensional structures, as demonstrated with Msp's predicted β-barrel structure
Comparative analysis with orthologous proteins, such as relating T. denticola Msp to T. pallidum TprA-K proteins
Integration of experimental data with computational models to refine structural predictions
For rplO, researchers could apply these approaches to model its structure within the context of the T. denticola ribosome, potentially revealing unique features compared to better-characterized bacterial ribosomal proteins.
Based on successful approaches with other T. denticola proteins:
Co-immunoprecipitation with antibodies against specific proteins, which revealed interactions between Msp and PrcA2
Pull-down assays with recombinant protein domains
Crosslinking followed by mass spectrometry to identify interaction networks
Bacterial two-hybrid systems for validating specific interactions
Comparative analysis of protein expression in wild-type and mutant strains, which showed that Msp expression is greatly reduced in dentilisin mutants
These methods could identify rplO interactions within the ribosome and potentially reveal unexpected extra-ribosomal interaction partners.
Research on rplO could provide insights into:
Translational regulation during environmental stress
Ribosome assembly dynamics in spirochetes
Potential moonlighting functions beyond protein synthesis
Evolutionary adaptations in the translation machinery of oral spirochetes
Comparative analysis with orthologous proteins in related pathogens like T. pallidum
Understanding these aspects could potentially reveal adaptation mechanisms specific to T. denticola's periodontal niche.
Researchers face several challenges when studying T. denticola proteins:
For example, successful genetic manipulations in T. denticola have been achieved through carefully designed strategies for allelic replacement mutagenesis and fine-scale mutagenesis .
To distinguish between essential and non-essential functions:
Generate conditional mutants rather than knockouts if the protein is potentially essential
Create domain-specific mutations to separate different functions
Use complementation with mutant variants to assess functional requirements
Employ ribosome profiling to assess effects on translation
Compare growth under different stress conditions to identify condition-specific requirements
These approaches have been successfully applied to study domain functions in other T. denticola proteins, such as the fine-scale mutagenesis of Msp that revealed the importance of both N and C termini for oligomer formation .
Critical controls include:
Expression of unrelated recombinant proteins to control for expression system artifacts
Multiple purification methods to ensure reproducibility
Validation of protein identity through multiple methods (Western blot, mass spectrometry)
Comparison with known ribosomal protein behaviors from model organisms
Assessment of endotoxin contamination that could confound functional studies
Researchers studying Msp employed multiple controls, including proteinase K treatment of intact cells to identify surface-exposed domains and immunofluorescence microscopy with specific antibodies to determine protein localization .
While ribosomal proteins are primarily involved in translation, their study can contribute to understanding periodontal disease through:
Identification of adaptation mechanisms specific to the periodontal environment
Potential roles in stress responses relevant to survival in the host
Possible moonlighting functions in host-pathogen interactions
Contributions to antibiotic resistance mechanisms
Relationship to expression of established virulence factors like Msp and dentilisin
T. denticola virulence factors like Msp have been shown to bind fibronectin, have cytotoxic pore-forming activity, disrupt intracellular processes, and inhibit neutrophil chemotaxis , while dentilisin induces cell shrinkage and increases permeability of intercellular junctions . Understanding how ribosomal proteins might interact with these virulence systems could provide new insights.
Evolutionary analysis approaches could include:
Comparative genomics across oral and non-oral Treponema species
Analysis of selection pressures on ribosomal proteins
Structural comparisons with orthologous proteins from related spirochetes
Functional complementation studies across species
Examination of ribosomal protein operon organization
The identification of T. denticola msp as an ortholog of the T. pallidum tprA to -K gene family demonstrates the value of comparative approaches for understanding protein evolution in these related pathogens.
Research on rplO could contribute to antimicrobial development through:
Identification of structural differences from human ribosomal counterparts
Discovery of spirochete-specific ribosomal protein interactions
Understanding of ribosomal assembly mechanisms unique to oral spirochetes
Identification of potential binding sites for selective inhibitors
Characterization of resistance mechanisms involving ribosomal modifications
Since ribosomal proteins are targets for many existing antibiotics, detailed characterization of T. denticola rplO could potentially reveal novel targets for periodontal pathogen-specific therapeutics.
Emerging technologies with potential applications include:
Cryo-electron microscopy for structural determination of intact ribosomes
Ribosome profiling to assess translational regulation under different conditions
Single-molecule techniques to study ribosome dynamics
Proximity labeling approaches to identify novel interaction partners
CRISPR interference systems adapted for T. denticola for targeted gene regulation
These technologies could provide unprecedented insights into the structure and function of T. denticola ribosomes and the specific roles of proteins like rplO.
Systems approaches could include:
Integrative analysis of transcriptomics, proteomics, and ribosome profiling data
Network analysis to identify connections between translation and virulence
Mathematical modeling of translation dynamics under stress conditions
Comparative systems analysis across different growth conditions
Integration of structural and functional data across multiple proteins
The search results indicate that gene expression analysis has revealed potential links between dentilisin and iron uptake and homeostasis in T. denticola , demonstrating the value of integrative approaches.
Promising interdisciplinary directions include:
Structural biology and biophysics to determine atomic-level details of T. denticola ribosomes
Immunology research to explore potential immunomodulatory roles of ribosomal proteins
Evolutionary biology to understand ribosomal adaptations in host-associated spirochetes
Synthetic biology approaches to engineer ribosomes with desired properties
Clinical microbiology to translate basic research findings into diagnostic or therapeutic applications