Cell wall formation.
KEGG: dvu:DVU2502
STRING: 882.DVU2502
MurB (UDP-N-acetylenolpyruvoylglucosamine reductase) in D. vulgaris catalyzes the second step in the cytoplasmic phase of peptidoglycan biosynthesis, a critical component of bacterial cell wall formation. Specifically, it reduces UDP-N-acetylenolpyruvoylglucosamine (UDP-GlcNAc-EP) to UDP-N-acetylmuramic acid (UDP-MurNAc) using NADPH as a cofactor . This reaction converts the enolpyruvyl moiety to a lactyl ether group, a crucial step in the UDP-N-acetylmuramoyl-pentapeptide biosynthesis pathway .
The enzyme contains a flavin adenine dinucleotide (FAD) binding domain characteristic of flavoproteins, which is essential for its catalytic function . As part of the Mur ligase family, murB represents a potential target for antibacterial compounds since the bacterial cell wall synthesis pathway is essential for bacterial survival but absent in humans and other animals .
Based on research with D. vulgaris and related enzymes, the following expression systems have shown varying degrees of success:
For D. vulgaris murB specifically, protein expression has been tested but results have been challenging, as noted in DNA repository information (ProteinExpressed: "Tested_Not_Found") . Optimization strategies should include:
Lowering induction temperature (16-25°C)
Testing multiple E. coli strains optimized for proteins with different codon usage
Using solubility-enhancing fusion tags beyond the standard His-tag
Incorporating additives that maintain FAD association during expression
Considering anaerobic expression conditions that mimic D. vulgaris's natural environment
Purification of active D. vulgaris murB presents several challenges based on experiences with related MurB enzymes. The following protocol integrates insights from multiple studies:
Lysis buffer optimization:
pH 7.5-8.0 phosphate or Tris buffer
300-500 mM NaCl to enhance solubility
10% glycerol as a stabilizing agent
1-5 mM β-mercaptoethanol or DTT as reducing agent
Protease inhibitor cocktail
Consider adding FAD (10-100 μM) to stabilize the flavoprotein
Purification strategy:
Initial capture: Nickel affinity chromatography (for His-tagged protein)
Intermediate purification: Ion exchange chromatography
Polishing step: Size exclusion chromatography
All steps should be performed at 4°C under reducing conditions
Special considerations:
Similar MurB purification approaches have yielded near-homogeneous protein from other bacterial species, though solubility issues required extensive optimization . For D. vulgaris murB specifically, expression and purification have been attempted but successful purification has not been reported ("Protein Purified: Tested_Not_Pur") .
Multiple complementary approaches can be used to verify MurB activity:
Spectrophotometric NADPH oxidation assay:
Coupled enzyme assay system:
Product characterization methods:
HPLC analysis of UDP-MurNAc formation
Mass spectrometry confirmation of product identity
NMR analysis for structural verification
FAD cofactor verification:
Functional complementation:
Control experiments should include enzyme-free reactions, substrate-free reactions, and inhibition with known MurB inhibitors to confirm specificity of the activity.
While specific kinetic parameters for D. vulgaris murB are not directly reported in literature, comparative data from related bacterial MurB enzymes provides context for experimental design:
For characterizing D. vulgaris murB, researchers should:
Determine Km and Vmax for both substrates under varying pH, temperature, and ionic conditions
Analyze potential substrate inhibition patterns similar to those observed in other bacterial MurB enzymes
Investigate metal ion effects, particularly univalent cations like potassium
Compare catalytic efficiency (kcat/Km) with other bacterial MurB enzymes to identify unique characteristics
Such comparative kinetic analysis would provide insights into potential adaptations of D. vulgaris murB to its anaerobic, sulfate-reducing lifestyle.
A multi-faceted computational approach is recommended for predicting D. vulgaris murB structure and function:
Homology modeling:
Molecular dynamics simulations:
Active site identification and characterization:
Identify catalytic and substrate-binding residues through sequence alignment with characterized MurB enzymes
Focus on residues equivalent to those identified in other MurB enzymes (e.g., Tyr155, Arg156, Ser237, Asn241, His304 in M. tuberculosis MurB)
Analyze FAD-binding motif and interaction patterns
Virtual screening for potential inhibitors:
Prepare computational libraries from multiple repositories (ChemSpider, DrugBank, ZINC)
Use AutoDock Vina or similar tools for docking simulations
Set binding affinity thresholds (e.g., -9.0 Kcal/mol) for hit identification
Further assess promising hits through MM-GBSA binding free energy calculations
These computational approaches provide a robust foundation for experimental validation and can significantly accelerate structure-function studies and inhibitor development targeting D. vulgaris murB.
Understanding structure-activity relationships for D. vulgaris murB requires analysis of binding site architecture and inhibitor interactions:
Comparative binding site analysis:
While specific structural information for D. vulgaris murB is limited, insights from other bacterial MurB enzymes highlight key structural determinants of inhibitor sensitivity:
Hydrophobic pockets accommodating bulky side chains significantly impact inhibitor binding
The meta position of terminal phenyl rings in inhibitors is critical for activity, particularly with electron-withdrawing groups (-NO₂ > -F)
Electron-donating substituents at ortho positions enhance activity (-OMe > -OH)
Binding free energies range from -8.19 to -11.56 kcal/mol for effective inhibitors
Binding interactions to consider:
Hydrogen bonding networks with key residues
π-π stacking interactions with aromatic residues
Hydrophobic interactions in binding pockets
Electrostatic complementarity between inhibitor and binding site
Structure-based inhibitor optimization strategy:
For D. vulgaris murB specifically, researchers should:
Identify unique residues in the binding site through sequence analysis and homology modeling
Consider the anaerobic environment of D. vulgaris and potential redox sensitivity of the enzyme
Evaluate inhibitors with varying physicochemical properties to establish structure-activity relationships specific to D. vulgaris murB
Test inhibitors with demonstrated activity against other bacterial MurB enzymes as starting points
Site-directed mutagenesis provides powerful insights into structure-function relationships. A systematic approach should include:
Strategic selection of mutation targets:
| Residue Type | Purpose | Expected Outcome |
|---|---|---|
| Catalytic residues | Verify enzymatic mechanism | Substantial reduction in catalytic activity |
| Substrate-binding residues | Probe substrate specificity | Altered Km values; substrate preference changes |
| FAD-binding motif residues | Examine cofactor interactions | Reduced FAD binding; spectral changes |
| Interface residues | Investigate protein-protein interactions | Modified interaction with other enzymes in the pathway |
| D. vulgaris-specific residues | Identify unique functional adaptations | Potentially altered kinetics or substrate specificity |
Comprehensive functional analysis framework:
Express and purify mutant proteins using optimized protocols for wild-type
Conduct spectroscopic analysis to confirm proper folding and FAD incorporation
Perform enzyme kinetic studies to determine Km, kcat, and catalytic efficiency changes
Test substrate analogs to identify specificity alterations
Evaluate thermal and chemical stability of mutants compared to wild-type
Structural consequences assessment:
Use circular dichroism to detect secondary structure perturbations
Apply differential scanning fluorimetry to analyze thermal stability changes
Perform computational modeling of mutations to predict structural impacts
When possible, obtain crystal structures of key mutants to confirm structural changes
This systematic mutagenesis approach has proven valuable for other bacterial MurB enzymes, with computational analysis guiding the selection of key residues (e.g., Tyr155, Arg156, Ser237, Asn241, His304 in M. tuberculosis MurB) .
An integrated approach combining computational and experimental methodologies offers the most efficient path to novel inhibitor discovery:
Virtual screening cascade:
Generate homology models and identify binding pockets
Screen large compound libraries against the target using AutoDock Vina
Apply binding affinity filters (e.g., -9.0 Kcal/mol threshold)
Perform molecular dynamics simulations (100+ ns) on top candidates to assess binding stability
Calculate binding free energies using MM-PBSA or MM-GBSA methods
Select diverse compounds with favorable predicted properties for experimental testing
Biochemical screening methodology:
Establish reliable enzymatic assays for D. vulgaris murB (NADPH oxidation monitoring)
Screen selected compounds at multiple concentrations (typically 1-100 μM)
Determine IC₅₀ values for promising inhibitors
Evaluate inhibition mechanisms (competitive, noncompetitive, uncompetitive)
Assess selectivity against human enzymes and other bacterial MurB variants
Structure-activity relationship development:
Cellular evaluation of promising candidates:
Assess antibacterial activity against D. vulgaris and other bacterial species
Determine minimum inhibitory concentrations (MICs)
Evaluate cytotoxicity against mammalian cells
Assess membrane permeability and potential efflux pump susceptibility
This integrated approach has successfully identified potent inhibitors against other bacterial MurB enzymes, with binding affinities ranging from -9.70 to -13.0 Kcal/mol for top candidates .
Although direct evidence on D. vulgaris murB's role in antimicrobial resistance is limited, several potential mechanisms can be inferred from our understanding of bacterial cell wall biosynthesis and resistance:
Structural adaptations affecting inhibitor binding:
Mutations in key binding site residues could reduce inhibitor affinity while maintaining catalytic function
Altered protein dynamics might affect inhibitor access to binding sites
Research focus: Compare murB sequences from resistant and susceptible strains
Enzymatic modifications influencing substrate processing:
Kinetic adaptations allowing continued function at lower efficiency despite inhibition
Altered substrate specificity providing alternative pathways for cell wall synthesis
Research focus: Characterize kinetic parameters of murB from resistant strains
Regulatory adaptations:
Overexpression of murB to overcome competitive inhibition
Altered regulation of the entire peptidoglycan synthesis pathway
Research focus: Quantify murB expression levels in response to antimicrobial pressure
Unique aspects for D. vulgaris:
As a sulfate-reducing anaerobe found in inflammatory conditions like ulcerative colitis , D. vulgaris may experience distinctive selective pressures
The connection between D. vulgaris and inflammation could influence antimicrobial exposure patterns and resistance development
D. vulgaris biofilm formation, which has been demonstrated in rat colon models , may contribute to antimicrobial tolerance
Horizontal gene transfer considerations:
Acquisition of variant murB genes with inherent resistance properties
Exchange of resistance determinants within microbial communities
Research focus: Phylogenetic analysis of murB variations across Desulfovibrio species
Understanding these potential resistance mechanisms would enable the development of strategies to overcome resistance, such as dual-targeting inhibitors or combination therapies that address multiple steps in the peptidoglycan synthesis pathway.
Research on D. vulgaris murB often confronts missing data challenges that require methodologically sound approaches:
The discovery of fusion enzymes in the peptidoglycan synthesis pathway presents interesting evolutionary questions relevant to understanding D. vulgaris murB:
Structural and functional comparison:
Evolutionary significance:
The fusion of murB and murC genes in certain bacterial lineages suggests potential advantages:
Coordinated expression of sequential enzymes in the pathway
Enhanced substrate channeling between reactions
Potential regulatory advantages in specific environmental niches
Evolutionary adaptation to streamline the genome
Functional implications for D. vulgaris:
D. vulgaris maintains separate murB and murC genes, similar to most bacterial species
The distinct regulation of these genes may be advantageous in the sulfate-reducing, anaerobic lifestyle of D. vulgaris
Comparative analysis between D. vulgaris murB and the murB domain of fusion proteins could reveal functional adaptations to different ecological niches
Research opportunities:
Investigating whether D. vulgaris murB interacts physically with murC despite being encoded by separate genes
Exploring the possibility of creating artificial fusion proteins with D. vulgaris enzymes to study substrate channeling
Examining the expression correlation between murB and other peptidoglycan synthesis genes in D. vulgaris under various conditions
This comparative analysis provides evolutionary context for understanding D. vulgaris murB and may suggest novel approaches for studying its function and regulation.
D. vulgaris's prevalence in certain disease states provides context for understanding the broader significance of murB research:
D. vulgaris in inflammatory conditions:
Increased abundance of Desulfovibrio has been observed in ulcerative colitis patients
D. vulgaris can stably colonize the rat colon for extended periods (3.5+ months)
Higher levels of hydrogen sulfide (H₂S) production correlate with higher tumor burden in some models
Biofilm formation by D. vulgaris may contribute to persistent colonization
Potential applications of murB research:
| Research Area | Application to Health/Disease | Methodological Approach |
|---|---|---|
| Biofilm inhibition | Targeting murB could disrupt D. vulgaris biofilm formation | Screen for murB inhibitors that reduce biofilm formation without causing resistance |
| Microbiome modulation | Selective inhibition of D. vulgaris without disrupting beneficial bacteria | Design species-specific murB inhibitors based on structural differences |
| Inflammatory disease | Reducing D. vulgaris colonization in ulcerative colitis | Explore combination therapies targeting murB and inflammatory pathways |
| Diagnostic development | Using murB as a biomarker for D. vulgaris presence | Develop molecular or serological tests targeting unique aspects of D. vulgaris murB |
Research methodology for clinical applications:
In vitro colonization models to test murB inhibitors against D. vulgaris biofilms
Animal models of inflammatory bowel disease to assess the impact of targeting D. vulgaris murB
Metagenomic analysis to correlate murB variants with disease severity
Combination therapy approaches that target multiple aspects of D. vulgaris pathobiology
Ecological considerations:
This research direction connects basic enzymatic studies of D. vulgaris murB to potential clinical applications, particularly in inflammatory conditions where Desulfovibrio species have been implicated.