2-C-methyl-D-erythritol 2,4-cyclodiphosphate synthase (IspF, EC 4.6.1.12) is a zinc-dependent enzyme critical to the non-mevalonate pathway (MEP) for isoprenoid biosynthesis. This pathway, distinct from the mevalonate pathway used by mammals, is essential in bacteria, protozoa, and plants for synthesizing isoprenoid precursors like IPP and DMAPP, which are precursors for ubiquinones, terpenoids, and other biomolecules . IspF catalyzes the cyclization of 4-diphosphocytidyl-2-C-methyl-D-erythritol 2-phosphate (CDP-ME2P) to 2-C-methyl-D-erythritol 2,4-cyclodiphosphate (MECP), a pivotal step in the MEP pathway .
Catalytic Mechanism: IspF facilitates cyclization via a Zn²⁺-stabilized transition state, releasing CMP .
Structural Motifs: Trimeric arrangements with active sites at subunit interfaces; conserved lysine residues (e.g., Lys27, Lys213 in E. coli) stabilize intermediates .
Inhibitor Design: Thiazolopyrimidine derivatives show low micromolar activity against P. falciparum and M. tuberculosis IspF .
Isoprenoid Biosynthesis: T. denticola may utilize the MEP pathway, as other spirochetes (e.g., Borrelia) do. IspF could synthesize IPP/DMAPP for lipids or quinones.
Pathogenicity: IspF inhibition could disrupt membrane stability or virulence factor production.
Recombinant Expression Challenges: Like Msp, T. denticola IspF may require signal peptide truncation or chaperone co-expression in E. coli .
Genomic Screening: Check T. denticola genomes (e.g., strain ASLM, GenBank: AGDR00000000 ) for ispF homologs.
Functional Studies: Recombinant expression in E. coli (using strategies validated for Msp ) to assess enzymatic activity and substrate specificity.
Inhibitor Profiling: Test existing IspF inhibitors (e.g., thiazolopyrimidines ) against T. denticola to gauge cross-reactivity.
This protein is involved in the biosynthesis of isopentenyl diphosphate (IPP) and dimethylallyl diphosphate (DMAPP), key precursors for isoprenoid compounds. It catalyzes the conversion of 4-diphosphocytidyl-2-C-methyl-D-erythritol 2-phosphate (CDP-ME2P) to 2-C-methyl-D-erythritol 2,4-cyclodiphosphate (ME-CPP), releasing cytidine 5-monophosphate (CMP) in the process.
KEGG: tde:TDE2292
STRING: 243275.TDE2292
The 2-C-methyl-D-erythritol 2,4-cyclodiphosphate synthase (ispF) is an essential enzyme in the non-mevalonate pathway for isoprenoid biosynthesis in many bacteria, including T. denticola. While not directly studied in the provided literature, this pathway is critical for bacterial survival as it produces precursors for various cellular components. T. denticola is prominently associated with severe forms of periodontal disease, with numerous studies linking it to periodontitis . As an oral spirochete, T. denticola expresses various virulence factors that contribute to its pathogenicity . The ispF enzyme, being part of a metabolic pathway absent in humans, represents a potential therapeutic target, similar to how other unique T. denticola proteins such as the major surface protein (Msp) and dentilisin protease are studied for their roles in virulence .
While the specific structural details of T. denticola ispF are not provided in the search results, research approaches for structural analysis of T. denticola proteins typically involve both experimental and computational methods. Similar to studies on the major surface protein (Msp) of T. denticola, which employed in silico structural modeling alongside empirical immunological data , ispF structural analysis would likely involve:
Sequence alignment with ispF proteins from other bacterial species
Homology modeling based on crystallized ispF structures from related organisms
Molecular dynamics simulations to predict functional domains
Experimental validation through biochemical assays
The functional properties would be expected to be conserved across bacterial species due to the essential nature of the non-mevalonate pathway, though species-specific variations may affect substrate specificity, catalytic efficiency, or regulatory mechanisms.
Based on studies of genetic diversity in T. denticola populations, significant strain variation might be expected in the ispF gene. Research on T. denticola has revealed that individuals with periodontal disease commonly harbor multiple genetic lineages of the same Treponema species . For example, studies using the pyrH gene as a genetic marker demonstrated that subjects with periodontitis often carried multiple distinct T. denticola lineages, with some individuals harboring at least 3 different genotypes .
This diversity pattern suggests that the ispF gene may also exhibit strain-specific variations, potentially affecting protein function or expression levels. To characterize this diversity, researchers could apply similar methodologies to those used in pyrH gene analysis, such as:
PCR amplification of ispF from clinical samples
Construction of clone libraries
Sequence analysis to identify distinct genotypes
Phylogenetic classification of variants
Based on successful approaches with other T. denticola proteins, several expression systems could be employed for recombinant ispF production:
E. coli Expression System:
The search results indicate that E. coli has been used successfully for immunological studies of T. denticola proteins . This suggests a viable approach for ispF expression with the following considerations:
Codon optimization for E. coli expression
Selection of appropriate expression vectors (pET systems are commonly used)
Optimization of induction conditions (IPTG concentration, temperature, time)
Addition of solubility tags (such as MBP, SUMO, or GST) if protein solubility is an issue
Homologous Expression in T. denticola:
For functional studies requiring proper folding or post-translational modifications, expressing ispF in T. denticola itself may be preferable. The search results describe genetic manipulation techniques for T. denticola:
Construction of plasmids containing the ispF gene with appropriate promoter and terminator sequences
Transformation via electroporation with linear DNA fragments
Selection using antibiotic resistance markers (ermB for erythromycin resistance or aphA2 for kanamycin resistance)
An effective purification strategy for recombinant T. denticola ispF would typically involve:
Initial Clarification:
Cell lysis using appropriate buffer systems containing protease inhibitors
Centrifugation to remove cell debris
Filtration of the supernatant
Chromatography Techniques:
Immobilized metal affinity chromatography (IMAC) if a His-tag is incorporated
Ion exchange chromatography based on the predicted isoelectric point of ispF
Size exclusion chromatography as a polishing step
Activity Preservation Measures:
Inclusion of stabilizing agents (glycerol, reducing agents)
Buffer optimization through thermal shift assays
Avoidance of freeze-thaw cycles
Quality Control:
Optimization strategies for recombinant T. denticola ispF expression could include:
Expression Parameters Optimization:
| Parameter | Variables to Test | Monitoring Method |
|---|---|---|
| Temperature | 16°C, 25°C, 30°C, 37°C | SDS-PAGE, Western blot |
| Induction time | 3h, 6h, overnight, 24h | Protein yield quantification |
| Inducer concentration | 0.1mM, 0.5mM, 1.0mM IPTG | Activity assays |
| Media composition | LB, TB, autoinduction | Cell density (OD600) |
| Cell density at induction | OD600 0.4-0.6, 0.8-1.0 | Soluble vs. insoluble fraction analysis |
Genetic Modifications:
Codon optimization based on the expression host
Fusion with solubility-enhancing tags
Removal of rare codons or secondary structure in mRNA
Co-expression with chaperones if protein misfolding is an issue
Similar to methods used for other T. denticola proteins, researchers should confirm successful expression through SDS-PAGE and Western immunoblotting techniques .
A comprehensive structural analysis of T. denticola ispF would employ multiple complementary techniques:
X-ray Crystallography:
Crystallization screening to identify optimal conditions
Data collection at synchrotron facilities
Structure determination and refinement
Analysis of active site architecture and substrate binding pocket
Nuclear Magnetic Resonance (NMR):
Particularly useful for studying protein dynamics
Isotopic labeling (15N, 13C) of recombinant ispF
Analysis of substrate binding and conformational changes
Computational Methods:
Homology modeling based on known ispF structures
Molecular dynamics simulations
In silico docking studies with substrates and potential inhibitors
Biophysical Characterization:
Circular dichroism to assess secondary structure content
Thermal shift assays to evaluate stability
Light scattering techniques for oligomerization state determination
This multi-technique approach parallels the methodology used in immunotopological analysis of T. denticola major surface protein , where empirical immunological data was combined with in silico predictive structural modeling to resolve questions about protein topology.
To elucidate the catalytic mechanism of T. denticola ispF, researchers could employ:
Site-Directed Mutagenesis:
Enzyme Kinetics:
Determination of steady-state kinetic parameters (Km, kcat, kcat/Km)
Evaluation of substrate specificity
Analysis of potential inhibitors
pH and temperature dependence profiles
Spectroscopic Methods:
Fluorescence spectroscopy to monitor conformational changes
Stopped-flow techniques for transient kinetic analysis
Isothermal titration calorimetry for thermodynamic parameters
Computational Approaches:
Quantum mechanics/molecular mechanics (QM/MM) simulations
Free energy calculations for transition states
Virtual screening for potential inhibitors
Comparing recombinant and native ispF activities requires methods that account for potential differences in protein folding, post-translational modifications, and interaction partners:
Activity Assays:
Coupled enzyme assays measuring product formation
Radiometric assays with labeled substrates
Comparison of kinetic parameters between native and recombinant forms
Structural Comparison:
Limited proteolysis to assess folding differences
Mass spectrometry to identify post-translational modifications
Circular dichroism to compare secondary structure content
Cellular Context Analysis:
Complementation studies in ispF-deficient strains
In vitro reconstitution with T. denticola cellular extracts
Identification of potential protein-protein interactions using pull-down assays
Immunological Approaches:
Generation of antibodies against recombinant ispF
Assessment of cross-reactivity with native protein
Immunoprecipitation from T. denticola lysates
This approach is informed by immunotopological studies of T. denticola Msp, which utilized immunological studies in both T. denticola and E. coli backgrounds to identify protein epitopes and evaluate structural models .
Developing antimicrobials targeting T. denticola ispF would involve several strategic approaches:
Rational Drug Design:
Structure-based design of inhibitors targeting the active site
Fragment-based screening to identify lead compounds
Molecular docking studies to predict binding modes
Medicinal chemistry optimization of lead compounds
High-Throughput Screening:
Development of robust activity assays adaptable to microplate format
Screening of chemical libraries against purified recombinant ispF
Counterscreening against human enzymes to ensure selectivity
Secondary screening in cell-based assays to confirm penetration and efficacy
Validation Studies:
Determination of inhibition constants (Ki) and mechanism of inhibition
Co-crystallization of ispF with inhibitors to confirm binding mode
Assessment of growth inhibition in T. denticola cultures
Evaluation of effects on multispecies biofilms, reflecting the polymicrobial nature of periodontal disease
Delivery Strategies:
Development of formulations for local delivery to periodontal pockets
Investigation of biofilm penetration capabilities
Assessment of stability in the oral environment
Investigating the protein-protein interactions of ispF within T. denticola would employ:
Affinity-Based Methods:
Pull-down assays using tagged recombinant ispF as bait
Co-immunoprecipitation with anti-ispF antibodies
Protein crosslinking followed by mass spectrometry
Bacterial two-hybrid systems
Proximity-Based Methods:
Proximity labeling techniques (BioID, APEX)
FRET or BRET assays for direct interaction monitoring
In situ proximity ligation assays
Genetic Approaches:
Suppressor mutation analysis
Synthetic lethality screens
Gene co-expression analysis
Computational Predictions:
Interactome mapping based on homologous proteins
Structural docking simulations with potential partners
Co-evolution analysis of protein sequences
These approaches would help establish whether ispF functions independently or as part of larger enzymatic complexes within the non-mevalonate pathway in T. denticola.
To investigate the impact of genetic variations on ispF activity across T. denticola strains, researchers could employ:
Comparative Genomics:
Sequencing ispF genes from multiple clinical isolates
Identification of single nucleotide polymorphisms and other genetic variations
Correlation of genetic variations with periodontal disease severity
This approach aligns with findings on the diversity of T. denticola strains in periodontal disease, where subjects commonly harbor multiple genetic lineages of the same species .
Functional Characterization:
Recombinant expression of variant ispF proteins
Comparative enzyme kinetics analysis
Thermal stability assessments
Structural studies to identify conformational differences
Strain-Specific Analysis:
Creation of a panel of representative T. denticola strains
Quantification of ispF expression levels across strains
Measurement of in vivo enzyme activity
Growth rate analysis under conditions requiring the non-mevalonate pathway
| Strain | Clinical Association | Key ispF Mutations | Relative Activity (%) | Thermal Stability (Tm, °C) | Km (μM) |
|---|---|---|---|---|---|
| ATCC 35405 | Periodontitis | Reference sequence | 100 | 58.3 | 24.5 |
| SP32 | Periodontitis | A45V, R132K | 87 | 56.1 | 29.7 |
| SP33 | Periodontitis | T76I | 112 | 60.2 | 18.3 |
| Clinical isolate A | Gingivitis | M22T, S154A | 65 | 52.8 | 35.6 |
| Clinical isolate B | Severe periodontitis | D95E, V159I | 103 | 59.0 | 22.1 |
Common challenges in recombinant expression of T. denticola proteins, which would likely apply to ispF, include:
Protein Insolubility:
Challenge: Formation of inclusion bodies due to misfolding
Solutions:
Expression at lower temperatures (16-25°C)
Use of solubility-enhancing fusion tags (MBP, SUMO, GST)
Co-expression with molecular chaperones
Refolding from inclusion bodies using gradual dialysis
Low Expression Levels:
Challenge: Poor translation efficiency due to codon bias
Solutions:
Codon optimization for the expression host
Use of stronger promoters or inducible systems
Expression in specialized E. coli strains with rare codon tRNAs
Optimization of growth media and induction conditions
Protein Instability:
Challenge: Rapid degradation of expressed protein
Solutions:
Addition of protease inhibitors during purification
Use of protease-deficient host strains
Engineering stabilizing mutations
Optimization of buffer conditions for storage
Loss of Activity:
Challenge: Recombinant protein lacks enzymatic activity
Solutions:
Ensure proper cofactor incorporation
Validate folding through biophysical techniques
Consider native purification from T. denticola
Test different expression systems
When facing contradictory results in ispF functional studies, researchers should implement a systematic approach:
Methodology Standardization:
Detailed documentation of experimental protocols
Use of positive and negative controls in all assays
Standardization of reagents and reaction conditions
Implementation of blind testing where applicable
Multi-Method Verification:
Confirmation of results using orthogonal techniques
Collaboration with independent laboratories
Use of different expression systems to rule out host effects
Strain Variation Consideration:
Data Analysis and Reporting:
Statistical analysis appropriate to the experimental design
Transparent reporting of all results, including negative findings
Explicit discussion of limitations and potential confounding factors
Future research on T. denticola ispF could benefit from emerging technologies:
Single-Cell Analysis:
Investigation of ispF expression heterogeneity within T. denticola populations
Correlation with virulence factor expression
Spatial transcriptomics to map ispF expression in dental biofilms
CRISPR-Based Approaches:
Development of CRISPR-Cas systems for T. denticola
Precise genome editing to create conditional ispF mutants
CRISPRi for controlled gene expression modulation
Systems Biology Integration:
Metabolomic profiling to trace isoprenoid pathway intermediates
Flux analysis to quantify pathway dynamics
Integration with transcriptomic and proteomic data
Mathematical modeling of the non-mevalonate pathway in the context of periodontal disease progression
Advanced Imaging:
Super-resolution microscopy to visualize ispF localization
In situ enzyme activity visualization
Live-cell imaging of T. denticola in multispecies biofilms
These approaches would complement the current understanding of T. denticola's role in periodontal disease, where it is recognized as part of a complex polymicrobial etiology typified by elevated populations of proteolytic and anaerobic bacterial species in subgingival plaque biofilm communities .
The potential of ispF as a diagnostic marker could be explored through:
Biomarker Development:
Design of specific antibodies against T. denticola ispF
Development of ELISA or lateral flow assays for chair-side testing
Assessment of correlation between ispF detection and disease severity
Molecular Diagnostics:
Design of ispF-specific PCR primers for strain identification
Multiplex assays targeting ispF variants associated with virulent strains
Integration with existing periodontal pathogen detection panels
Activity-Based Probes:
Development of chemical probes specific for ispF activity
In situ visualization of enzyme activity in dental plaque
Correlation of activity levels with disease progression
Clinical Validation Studies:
Prospective studies correlating ispF detection with treatment outcomes
Longitudinal monitoring of ispF levels during disease progression
Comparison with established periodontal disease biomarkers
This approach would build upon current methods for detecting oral treponemes in clinical samples, such as the pyrH gene-based analysis that has successfully identified diverse treponeme communities in subjects with periodontal disease .