Function: Catalyzes the conversion of 2C-methyl-D-erythritol 2,4-cyclodiphosphate (ME-2,4cPP) to 1-hydroxy-2-methyl-2-(E)-butenyl 4-diphosphate.
KEGG: sma:SAVERM_2561
STRING: 227882.SAV_2561
4-hydroxy-3-methylbut-2-en-1-yl diphosphate synthase (also known as HMB-PP synthase or IspG, EC 1.17.7.1) is an enzyme that catalyzes a critical reaction in the MEP pathway (non-mevalonate pathway) of isoprenoid precursor biosynthesis. The enzyme catalyzes the conversion of 2-C-methyl-D-erythritol 2,4-cyclodiphosphate (MEcPP) to (E)-4-hydroxy-3-methylbut-2-en-1-yl diphosphate (HMB-PP), with electrons donated by two reduced ferredoxin proteins per reaction .
The specific reaction is:
2-C-methyl-D-erythritol 2,4-cyclodiphosphate + protein-dithiol → (E)-4-hydroxy-3-methylbut-2-en-1-yl diphosphate + H2O + protein-disulfide
IspG catalyzes a late-stage reaction in the MEP pathway, which is responsible for the biosynthesis of isoprenoid precursors IPP (isopentenyl diphosphate) and DMAPP (dimethylallyl diphosphate). The MEP pathway operates in many bacteria and plants but is absent in mammals, which exclusively use the mevalonate pathway for isoprenoid biosynthesis .
The MEP pathway contains several enzymatic steps:
DXP synthase (EC 2.2.1.7) - Formation of 1-deoxy-d-xylulose 5-phosphate
DXP reductoisomerase (EC 1.1.1.267) - Conversion to 2-C-methylerythritol 4-phosphate (MEP)
MEP cytidylyltransferase (EC 2.7.7.60) - Conversion of MEP to CDP-ME
CDP-ME kinase (EC 2.7.1.148) - Phosphorylation to CDP-ME2P
IspG's significance lies in its essential role in this pathway and its potential as a target for antimicrobial development, as the MEP pathway is absent in mammals but present in many pathogenic bacteria.
IspG belongs to the family of oxidoreductases (EC 1), specifically those acting on CH or CH2 groups (EC 1.17) with a disulfide as acceptor (EC 1.17.7). Its complete EC number is 1.17.7.1 .
The systematic name of this enzyme class is:
(E)-4-hydroxy-3-methylbut-2-en-1-yl-diphosphate:protein-disulfide oxidoreductase (hydrating)
This classification places IspG among enzymes that catalyze redox reactions involving carbon-hydrogen bonds, with specific electron acceptor requirements.
Researchers can access information about IspG through several specialized databases:
| Database Type | Resource | Access Point |
|---|---|---|
| Enzyme Classification | IntEnz | IntEnz view |
| Enzymatic Properties | BRENDA | BRENDA entry |
| Enzyme Nomenclature | ExPASy | NiceZyme view |
| Metabolic Pathways | KEGG | KEGG entry |
| Metabolic Pathways | MetaCyc | metabolic pathway |
| Enzyme Profiles | PRIAM | profile |
| Structural Data | PDB | RCSB PDB, PDBe, PDBsum |
| Functional Annotation | Gene Ontology | AmiGO / QuickGO |
These resources provide valuable information on enzyme characteristics, metabolic context, and structural features of IspG .
To express and purify recombinant IspG, researchers should consider the following methodological approach:
Expression System Selection: E. coli has proven effective for expression of recombinant IspG from various bacterial sources, including Haemophilus somnus .
Vector Design:
Construct plasmids with strong inducible promoters (T7, tac)
Include affinity tags (His-tag, GST) for purification
Consider codon optimization for the expression host
Expression Conditions:
Test multiple induction temperatures (16°C, 25°C, 37°C)
Optimize inducer concentration (IPTG typically 0.1-1.0 mM)
Evaluate expression duration (4-24 hours)
Purification Strategy:
Initial capture: Affinity chromatography using the engineered tag
Intermediate purification: Ion exchange chromatography
Polishing: Size exclusion chromatography
Consider including reducing agents throughout purification to maintain enzymatic activity
Activity Verification:
The purification protocol must be developed with consideration for preserving the redox-sensitive activity of IspG, as it participates in electron transfer reactions.
To determine kinetic parameters of IspG enzymatic activity, researchers should implement the following methodological approach:
Spectrophotometric Assays:
Experimental Design for Kinetic Studies:
Vary substrate (MEcPP) concentration while maintaining constant enzyme concentration
Maintain appropriate temperature and pH for optimal enzyme activity
Include appropriate electron donors (ferredoxin)
Account for potential cooperative binding effects using Hill plots
Consider product inhibition effects
Product Analysis:
Data Analysis:
Generate Michaelis-Menten or Hill plots depending on binding behavior
Calculate Km, Vmax, and catalytic efficiency (kcat/Km)
Analyze enzyme cooperativity using Hill coefficients (if applicable)
Method Validation:
Include positive controls with characterized enzymes
Perform replicate measurements for statistical reliability
Consider varying enzyme concentration to confirm proportional response
This multi-faceted approach allows for comprehensive characterization of IspG kinetic behavior.
When investigating potential inhibitors of IspG, researchers should follow these experimental design principles:
These approaches create a robust framework for identifying and characterizing IspG inhibitors with potential antimicrobial applications.
To elucidate structure-function relationships of IspG, researchers should employ these methodological approaches:
Structural Characterization:
X-ray crystallography for high-resolution structures
Cryo-EM for visualization of conformational states
NMR for dynamic studies of smaller domains
Small-angle X-ray scattering (SAXS) for solution structure
Functional Site Mapping:
Site-directed mutagenesis of conserved residues
Chemical modification studies
Hydrogen-deuterium exchange mass spectrometry
Crosslinking studies to identify interaction surfaces
Computational Analysis:
Homology modeling using related structures
Molecular dynamics simulations to study conformational changes
Quantum mechanical calculations for reaction mechanism studies
Evolutionary analysis of conserved residues across species
Ligand Binding Studies:
Isothermal titration calorimetry for thermodynamic parameters
Surface plasmon resonance for binding kinetics
Fluorescence-based binding assays
Differential scanning fluorimetry for thermal stability shifts upon binding
Enzyme Variant Analysis:
Compare kinetic parameters of wild-type and mutant enzymes
Analyze effects of mutations on substrate specificity
Study pH and temperature dependencies of variants
This integrated approach provides comprehensive insights into how IspG structure relates to its catalytic function.
Analyzing the genomic context of ispG genes provides valuable insights into function, regulation, and evolution:
Comparative Genomic Approaches:
Identify gene organization patterns across species
Map operon structures containing ispG
Detect horizontally transferred regions through GC content analysis
Analyze the presence of mobile genetic elements near ispG
Case Study - Porphyromonas gingivalis:
The extensive genome rearrangements observed in P. gingivalis strains demonstrate how mobile genetic elements influence genomic architecture, potentially affecting enzyme function and regulation :
| Element Type | W83 Strain | ATCC 33277 Strain | Impact |
|---|---|---|---|
| IS elements | 93 (51 partial) | 93 (38 partial) | Mediates genomic rearrangements |
| MITEs | 35 (9 partial) | 48 (18 partial) | Contributes to strain diversity |
| IS types | ISPg1-ISPg6 | Expansion of ISPg1, ISPg3 | Strain-specific patterns |
Functional Correlation Methodologies:
Analyze co-expression patterns with other MEP pathway genes
Identify potential regulatory elements in the promoter region
Study transcription factor binding sites using ChIP-seq
Compare expression under different growth conditions
Evolutionary Analysis Techniques:
Construct phylogenetic trees based on IspG sequences
Calculate selection pressure (dN/dS ratio) across domains
Detect recombination events using specialized algorithms
Map functional divergence across bacterial lineages
This multi-layered analysis provides a comprehensive understanding of how IspG functions within different genomic contexts and evolutionary trajectories.
When investigating IspG across different bacterial species, researchers should consider:
Experimental Design Framework:
Species Selection Criteria:
Include diverse bacterial species representing different phyla
Consider pathogenic and non-pathogenic representatives
Select model organisms with genetic manipulation tools available
Include species with variations in MEP pathway organization
Control Considerations:
Account for differences in optimal growth conditions
Normalize enzyme activity to protein concentration
Include species-specific positive and negative controls
Control for differences in gene expression systems
Comparative Analysis Approach:
Standardize assay conditions across species when possible
Develop species-specific modifications when necessary
Use recombinant systems with standardized tags for fair comparison
Account for differences in codon usage and protein folding machinery
Data Integration Methods:
Implement bioinformatic pipelines for cross-species comparisons
Use statistical methods appropriate for comparative analysis
Develop normalization strategies for cross-species data
Create visualization tools for multi-species datasets
This methodological framework enables rigorous comparative studies of IspG across different bacterial contexts, providing insights into functional conservation and specialization.
Transposon mutagenesis offers powerful approaches for studying IspG function in pathogenic bacteria:
Transposon Sequencing (Tn-Seq) Methodology:
Generate saturated transposon libraries in the bacterial species of interest
Sequence transposon insertion sites to identify essential genes
Compare growth in different conditions to identify condition-specific roles
Use statistical analyses to determine fitness effects of gene disruption
Application Example - P. gingivalis:
While not specifically studying IspG, the approach used for tyrosine kinase Ptk1 demonstrates the methodology applicable to IspG research :
"In this study, we used transposon sequencing (Tn-Seq) to identify P. gingivalis genes that confer fitness during cooperative growth with S. gordonii."
Data Analysis Strategy:
Calculate fitness scores based on relative abundance of mutants
Define significant fitness effects (typically score >0.5 with adjusted P-value <0.05)
Analyze negative fitness scores as indicators of essential functions
Integrate with transcriptomic and proteomic data for comprehensive insights
Validation Approaches:
Create targeted deletion mutants of identified genes
Perform complementation studies to confirm phenotypes
Conduct biochemical assays to characterize effects on specific pathways
Evaluate changes in virulence or fitness in infection models
Biological Context Interpretation:
Analyze the impact on downstream isoprenoid-dependent processes
Evaluate effects on cell envelope properties and stress responses
Assess changes in virulence factor expression
Determine effects on antibiotic susceptibility
This transposon-based approach provides a powerful method for understanding IspG function in the context of bacterial pathogenesis and identifying potential antimicrobial targets.
While the search results don't directly address IspG's role in pathogenesis, we can outline methodological approaches to investigate this question:
Genetic Manipulation Strategies:
Generate ispG deletion or conditional mutants in bacterial pathogens
Create point mutations affecting catalytic activity
Develop complementation strains expressing wild-type or mutant variants
Use inducible systems to control expression levels
Pathogenesis Model Systems:
Employ cell culture infection models with appropriate host cells
Use animal infection models suited to the pathogen being studied
Develop ex vivo tissue models for organ-specific infections
Consider alternative infection models (e.g., Caenorhabditis elegans, Galleria mellonella)
Virulence Assessment Methodologies:
Measure bacterial survival and replication within host cells
Quantify virulence factor production in wild-type vs. ispG mutants
Assess host immune response parameters (cytokine production, immune cell recruitment)
Determine changes in biofilm formation capacity
Analytical Approaches:
Conduct transcriptomic analysis of ispG mutants vs. wild-type during infection
Perform metabolomic profiling focusing on isoprenoid-dependent molecules
Use imaging techniques to visualize pathogen-host interactions
Measure stress response activation in mutant strains
Potential Applications:
Develop IspG inhibitors as potential antimicrobials
Identify biomarkers associated with IspG activity during infection
Create attenuated strains for vaccine development
Design diagnostic tools based on IspG activity or products
These methodological approaches provide a comprehensive framework for investigating IspG's contribution to bacterial pathogenesis.