KEGG: bba:Bd2484
STRING: 264462.Bd2484
LpxC (UDP-3-O-[3-hydroxymyristoyl] N-acetylglucosamine deacetylase) catalyzes the deacetylation of UDP-3-O-((R)-3-hydroxymyristoyl)-N-acetylglucosamine to form UDP-3-O-(R-hydroxymyristoyl)glucosamine and acetate . This reaction represents the committed step in lipid A biosynthesis, which is essential for the production of lipopolysaccharides (LPS) in the outer membrane of Gram-negative bacteria . In B. bacteriovorus, LpxC likely plays a critical role in maintaining cellular envelope integrity during both free-living and intraperiplasmic growth phases of its predatory lifecycle .
Methodologically, LpxC function can be assessed through:
Enzyme activity assays measuring the production of UDP-3-O-(R-hydroxymyristoyl)glucosamine
Radiolabeling studies tracking lipid A biosynthesis
Conditional gene expression systems to manipulate lpxC levels during different predatory phases
Purification of recombinant B. bacteriovorus LpxC involves:
Gene cloning and vector construction:
PCR amplification of the lpxC gene from B. bacteriovorus genomic DNA
Insertion into expression vector with His-tag or other affinity tag
Protein expression optimization:
Testing multiple E. coli expression strains (BL21(DE3), Rosetta, etc.)
Optimizing induction conditions (temperature, IPTG concentration, time)
Purification strategy:
Immobilized metal affinity chromatography (IMAC) using histidine tag
Ion exchange chromatography for further purification
Size exclusion chromatography for final polishing
Critical considerations:
Enzymatic activity of B. bacteriovorus LpxC can be assessed through:
Spectrophotometric assays:
Monitoring release of acetate using coupled enzyme systems
Following absorbance changes at 340 nm when NAD⁺ is reduced to NADH
Radiochemical assays:
Using ¹⁴C-labeled UDP-3-O-((R)-3-hydroxymyristoyl)-N-acetylglucosamine
Separating substrate and product by thin-layer chromatography
Mass spectrometry:
Direct detection of substrate depletion and product formation
Allows for detailed kinetic analysis
pH-dependency studies:
Metal-dependency analysis:
B. bacteriovorus exhibits a biphasic lifecycle with distinct free-living and intraperiplasmic growth phases . LpxC expression likely follows phase-specific patterns:
During free-living phase:
Higher LpxC expression expected for maintaining robust cell envelope
Required for high motility and environmental resistance
During prey invasion:
Potential transient downregulation during initial periplasmic entry
Allows for structural flexibility during invasion process
During intraperiplasmic growth:
Modulated expression as predator grows within prey periplasm
Coordination with prey envelope degradation systems
Prior to prey cell lysis:
Increased expression to prepare progeny for free-living phase
Ensures newly formed Bdellovibrio cells have intact LPS
Research approaches include:
RNA-seq analysis of synchronized predator populations
Fluorescent reporter fusions to monitor lpxC expression in real-time
Western blot analysis of LpxC protein levels across lifecycle stages
Activity assays from cell extracts at different timepoints
While B. bacteriovorus LpxC structure hasn't been fully characterized, insights can be inferred from related structures like Aquifex aeolicus LpxC :
Core structural elements likely conserved:
Zinc-binding pocket with coordinating histidine and aspartate residues
Hydrophobic passage accommodating acyl chain
Nucleotide-binding domain with uracil recognition elements
Potential adaptations in B. bacteriovorus LpxC:
Modified substrate binding site reflecting unique LPS composition
Structural adaptations related to predatory lifecycle
Potential protein-protein interaction surfaces for regulation
Nucleotide-binding site features based on A. aeolicus LpxC:
Structural analysis approaches include:
X-ray crystallography of purified B. bacteriovorus LpxC
Cryo-electron microscopy for structure determination
Homology modeling based on known LpxC structures
Molecular dynamics simulations to predict structural differences
The predatory lifecycle of B. bacteriovorus involves complex prey recognition and invasion mechanisms that may be influenced by LpxC-generated LPS structures:
Recently discovered prey recognition systems:
Potential LpxC involvement in predation:
LPS structure likely influences initial attachment to prey surfaces
LpxC-generated LPS components may interact with MAT proteins
Modified LPS could facilitate invasion through prey cell envelope
Experimental approaches to investigate this relationship:
Conditional lpxC mutants to observe effects on predation efficiency
Pull-down assays to detect interactions between LPS and MAT proteins
Fluorescence microscopy to co-localize LpxC with invasion structures
Comparative lipid A analysis between attack-phase and growth-phase cells
B. bacteriovorus must coordinate chromosomal replication with its predatory lifecycle, suggesting potential regulatory links with LpxC activity:
Chromosomal replication in B. bacteriovorus:
Potential LpxC connections to replication:
Cell envelope restructuring (LpxC-dependent) may be coordinated with replication
LPS synthesis rates might be synchronized with chromosome copy number
Common regulatory pathways may control both processes
Research methodologies:
ChIP-seq to identify potential transcription factors regulating both systems
Proteomic analysis of protein-protein interactions between pathways
Flow cytometry to correlate LPS composition with DNA content
Imaging studies to track LpxC and replication proteins during predation
During invasion and growth within prey periplasm, B. bacteriovorus experiences pH changes that could impact LpxC function:
pH dependency of LpxC activity:
pH dynamics during predation:
Initial prey periplasm pH may differ from external environment
Prey cell degradation likely creates localized pH changes
Predator metabolism within bdelloplast alters internal pH
Methodological approaches:
Activity assays across pH range with purified B. bacteriovorus LpxC
pH-sensitive fluorescent probes to measure bdelloplast internal pH
Site-directed mutagenesis of key catalytic residues affecting pH sensitivity
Mathematical modeling of pH effects on enzyme kinetics during predation
| pH | Relative LpxC Activity (%) | Predatory Phase |
|---|---|---|
| 5.5 | ~30* | Early bdelloplast formation |
| 6.5 | ~80* | Active prey degradation |
| 7.5 | ~100* | Optimal growth conditions |
| 8.5 | ~90* | Late predatory cycle |
| 9.5 | ~40* | Not physiologically relevant |
*Predicted values based on E. coli LpxC behavior; specific B. bacteriovorus data to be determined experimentally
Comparing enzyme kinetics between predator and prey LpxC could reveal evolutionary adaptations:
Substrate specificity considerations:
Methodological approach:
Parallel purification of LpxC from B. bacteriovorus and prey bacteria
Determination of kinetic parameters (kcat, KM) with various substrates
Inhibitor sensitivity profiling
Effects of temperature, pH, and ionic strength on activity
Significance of kinetic differences:
May reflect adaptation to predatory lifestyle
Could reveal potential for selective inhibition strategies
Provides insights into evolution of lipid A biosynthesis
| LpxC Source | KM (μM) | kcat (s⁻¹) | kcat/KM (M⁻¹s⁻¹) | Optimal Temperature (°C) |
|---|---|---|---|---|
| B. bacteriovorus | TBD | TBD | TBD | TBD |
| E. coli | 8.0 | 3.0 | 3.75×10⁵ | 37 |
| P. aeruginosa | 12.3 | 2.8 | 2.28×10⁵ | 37 |
| A. aeolicus | 7.5 | 4.2 | 5.60×10⁵ | 55 |
As a zinc-dependent metalloenzyme, B. bacteriovorus LpxC requires proper metal coordination for activity:
Zinc coordination in LpxC:
Zinc acquisition during predation:
B. bacteriovorus may obtain zinc from prey during intraperiplasmic growth
Competition with prey metalloproteins for available zinc
Potential zinc storage mechanisms for attack-phase cells
Research approaches:
X-ray absorption spectroscopy to determine zinc coordination geometry
Site-directed mutagenesis of predicted zinc-coordinating residues
Metal reconstitution studies with purified enzyme
Zinc content analysis across predatory lifecycle stages
Potential adaptations:
Modified zinc affinity optimized for fluctuating zinc availability
Structural features protecting zinc site during prey invasion
Potential for utilizing alternative metals in zinc-limited conditions
Understanding B. bacteriovorus LpxC structure has implications for developing selective inhibitors:
Current state of LpxC inhibitor development:
Structural considerations for selective inhibition:
Dual application potential:
Inhibitors that affect pathogenic bacteria but spare B. bacteriovorus
Allow combination therapies of antibiotics with predatory bacteria
Enable controlled use of B. bacteriovorus as living antibiotic
Methodological approach:
Structure-based drug design targeting unique features
High-throughput screening with differential inhibition readouts
Structure-activity relationship studies with existing inhibitors
In vivo testing in predator-prey-inhibitor three-component systems
B. bacteriovorus is being investigated as a potential "living antibiotic" , making its interaction with host immunity crucial:
Current safety profile findings:
LpxC-generated LPS implications:
Modified lipid A structure may reduce immunogenicity
Could affect recognition by pattern recognition receptors
May influence predator clearance rate by immune cells
Research methodologies:
LPS structural analysis from B. bacteriovorus versus pathogenic bacteria
In vitro immunostimulation assays with purified LPS
Cytokine profiling in response to wild-type versus LpxC-modified B. bacteriovorus
Tracking predator survival with different LPS compositions in vivo
Recent discoveries about B. bacteriovorus invasion mechanisms provide new context for understanding LpxC function:
Vesicular compartment during invasion:
Potential LpxC involvement:
LpxC-generated LPS may contribute to vesicle membrane composition
Lipid A modifications could facilitate vesicle formation or stability
LpxC activity might be spatiotemporally regulated during vesicle formation
Research approaches:
Co-localization studies of LpxC with CpoB during invasion
Lipidomic analysis of isolated vesicular compartments
Conditional LpxC inhibition during invasion process
Correlating LpxC activity with vesicle formation efficiency
Understanding evolutionary adaptations in B. bacteriovorus LpxC requires multi-omics approaches:
Comparative genomics strategies:
Sequence alignment of lpxC genes across predatory and non-predatory bacteria
Analysis of selection pressure (dN/dS ratios) on lpxC gene
Identification of co-evolving genes in lipid A biosynthesis pathway
Examination of horizontal gene transfer events affecting lpxC
Structural proteomics:
Homology modeling based on known LpxC structures
Prediction of predator-specific structural adaptations
Molecular dynamics simulations to assess functional differences
Functional proteomics:
Protein-protein interaction networks involving LpxC
Post-translational modifications affecting LpxC regulation
Protein turnover rates during different predatory phases
Integrative analysis:
Correlation of lpxC sequence variations with prey range
Mapping structural differences to predatory efficiency
Evolutionary trajectory reconstruction of lipid A biosynthesis
Engineered B. bacteriovorus LpxC could enable several biotechnological applications:
Enhanced predatory bacteria as antimicrobials:
Modified LpxC to improve predator survival in therapeutic environments
Engineered substrate specificity to target specific pathogens
Reduced immunogenicity through lipid A modifications
Environmental applications:
Engineered predators for biofilm control in industrial settings
Modified LpxC to enhance predator survival in harsh environments
Biosensors incorporating predatory bacteria for pathogen detection
Synthetic biology platforms:
Cell envelope engineering through modified LpxC activity
Creation of bacterial chassis with novel surface properties
Development of selective inhibitors for spatial control of predation
Methodological approaches:
Directed evolution of lpxC gene for desired properties
CRISPR-Cas9 genome editing to introduce specific modifications
High-throughput screening for enhanced predatory phenotypes
In vivo testing in relevant application environments
*Predicted values based on homology; specific experimental data not available in current research
| Method | Application | Advantages | Limitations |
|---|---|---|---|
| X-ray Crystallography | 3D Structure Determination | High-resolution atomic details | Requires protein crystals |
| Enzyme Kinetics | Catalytic Parameters | Quantitative activity data | In vitro conditions only |
| Genetic Knockdown | In vivo Function | Physiological relevance | Technical challenges in predatory bacteria |
| LC-MS/MS | LPS Structure Analysis | Detailed lipid A composition | Complex sample preparation |
| Fluorescence Microscopy | Localization During Predation | Spatial information | Resolution limitations |
| Immunoprecipitation | Protein-Protein Interactions | In vivo relevance | Potential false positives |
| Molecular Dynamics | Structure-Function Predictions | Simulates protein dynamics | Computational limitations |
| RNA-seq | Expression Analysis | Genome-wide perspective | Transcript vs. protein differences |