KEGG: ppu:PP_0118
STRING: 160488.PP_0118
ZnuC functions as the ATP-binding component (ATPase) of the ZnuABC transport system in Pseudomonas putida. This high-affinity zinc uptake system consists of three main components: ZnuA (periplasmic binding protein), ZnuB (transmembrane domain), and ZnuC (ATPase). Together, they form an ATP-binding cassette (ABC) transporter that imports zinc from the periplasm into the cytoplasm under zinc-limited conditions.
In P. putida, the ZnuC protein hydrolyzes ATP to provide energy for zinc transport through the inner membrane. This system is particularly important when the bacterium encounters environments with extremely limited zinc availability .
The expression of znuC in P. putida is primarily regulated by the zinc uptake regulator (Zur), a transcriptional repressor that binds to specific DNA sequences (Zur boxes) in the promoter regions of zinc uptake genes. The regulation operates as follows:
Under zinc-replete conditions: Zinc-bound Zur acts as a repressor, binding to the promoter region of the znuABC operon and preventing transcription.
Under zinc-limited conditions: Zur cannot bind DNA as a repressor, leading to derepression and expression of znuABC genes .
Experimental data from transcriptional studies in various bacterial strains (including E. coli) have shown that znuC promoter activity significantly increases in zinc-depleted media and in Δzur knockout strains, confirming the repressive role of Zur .
The ZnuABC system in P. putida follows the typical structure of bacterial ABC transporters, with each component having specific structural features:
ZnuA: A periplasmic solute binding protein that specifically binds zinc with high affinity. In some bacteria, ZnuA can bind multiple zinc ions and may contain His-rich domains that facilitate zinc binding.
ZnuB: A transmembrane domain protein that forms the channel through which zinc is transported across the inner membrane.
ZnuC: The nucleotide-binding domain (ATPase) that provides energy for transport through ATP hydrolysis.
The system operates through conformational changes triggered by ATP binding and hydrolysis at ZnuC, which allows the transport of zinc bound to ZnuA through the ZnuB transmembrane channel .
When designing knockout experiments to study ZnuC function in P. putida, researchers should consider the following methodological approach:
Targeting Strategy: For precise deletions of znuC, use a two-step recombination approach utilizing:
Newer Methodologies: Consider advanced techniques recently developed for P. putida:
Controls and Complementation:
Generate both single (ΔznuC) and combined knockouts (ΔznuCΔzntA) to understand interactions with export systems
Include complementation studies with plasmid-expressed znuC to confirm phenotypes
Use fluorescent reporters to monitor changes in gene expression
Growth Media Considerations:
For studying ZnuC expression and function under zinc stress conditions, researchers should establish a clear experimental design with carefully controlled zinc concentrations:
Determining Zinc Concentration Range:
Perform growth inhibition assays to establish sublethal zinc concentrations
Use zinc concentrations that produce approximately 5%, 40%, and 80% growth inhibition rates
| Zinc Sulfate Concentration | Growth Inhibition in P. putida |
|---|---|
| 0.1 mmol L⁻¹ | No significant effect |
| 0.2 mmol L⁻¹ | ~5% inhibition |
| 1.5 mmol L⁻¹ | ~40% inhibition |
| 2.5 mmol L⁻¹ | ~80% inhibition |
| 3.0 mmol L⁻¹ | Almost complete inhibition |
Exposure Time:
RNA Stabilization:
Transcriptional Analysis:
For optimal recombinant expression and purification of P. putida ZnuC protein, researchers should follow these methodological approaches:
Expression System Selection:
Use E. coli BL21(DE3) or similar expression strains
Consider codon optimization for the znuC gene if expression is low
Use expression vectors with tightly controlled inducible promoters (like pET systems)
Protein Tagging Strategy:
Add a His-tag (6× histidine) for affinity purification
Consider placement at either N- or C-terminus based on structural data
Include a cleavable tag if native protein is required for functional studies
Expression Conditions:
Optimize induction parameters (IPTG concentration, temperature, time)
Use lower temperatures (16-20°C) for induction to enhance solubility
Consider zinc supplementation in growth media to maintain protein stability
Purification Protocol:
Functional Verification:
Perform ATPase activity assays to confirm functional protein
Use circular dichroism to assess proper protein folding
Consider zinc binding assays to verify metal-binding properties
Comparative analysis of zinc uptake systems reveals both similarities and distinct differences between P. putida and other Pseudomonas species:
P. putida vs. P. aeruginosa Comparison:
| Feature | P. putida ZnuABC | P. aeruginosa ZnuABC |
|---|---|---|
| System components | ZnuA, ZnuB, ZnuC in ACB operon | ZnuA, ZnuB, ZnuC plus ZnuD (TonB-dependent transporter) |
| Regulation | Zur-dependent | Zur-dependent |
| Alternative uptake | Potential ZupT homolog (PA4467) | Multiple systems (ZnuABC, HmtA, pseudopaline) |
| Knockout effects | Growth defects in zinc limitation | Slight reduction in zinc-depleted conditions |
| Additional transporters | Unknown | HmtA (P-type ATPase) in inner membrane |
P. aeruginosa possesses additional zinc acquisition mechanisms including:
Promoter Analysis and Gene Expression Patterns:
Regulation Mechanisms:
For investigating the interaction between ZnuA and ZnuC in P. putida, researchers should consider these advanced methodological approaches:
In vitro Protein-Protein Interaction Studies:
Surface Plasmon Resonance (SPR): Immobilize one protein (e.g., ZnuA) and measure binding kinetics with the other (ZnuC)
Isothermal Titration Calorimetry (ITC): Determine thermodynamic parameters of binding
Pull-down Assays: Use tag-based systems (His-tag, GST-tag) to co-purify interacting partners
Microscale Thermophoresis (MST): Measure interactions in solution with minimal protein consumption
Structural Analysis Approaches:
X-ray Crystallography: Determine the 3D structure of the ZnuABC complex
Cryo-EM: Visualize the entire transporter complex in different conformational states
Hydrogen-Deuterium Exchange Mass Spectrometry (HDX-MS): Identify interaction interfaces
FRET/BRET Assays: Monitor protein interactions in real-time with fluorescent labels
In vivo Approaches:
Bacterial Two-Hybrid System: Adapted for membrane proteins
Fluorescence in situ Hybridization (FISH): For co-localization studies
Split GFP Complementation: Fuse split GFP fragments to ZnuA and ZnuC to visualize interactions
Genetic and Mutational Analysis:
System Reconstitution:
Proteoliposome Assays: Reconstitute purified components in artificial membranes
Zinc Transport Assays: Monitor zinc uptake with fluorescent indicators
Environmental factors significantly impact ZnuC expression and function in P. putida strains used for bioremediation applications:
Zinc Concentration Effects:
pH Impact on Zinc Bioavailability and Transport:
Acidic conditions increase zinc solubility but may stress cells
Alkaline conditions decrease zinc bioavailability, potentially inducing znuC expression
For bioremediation applications, pH stabilization may be necessary to maintain consistent ZnuC function
Co-occurring Heavy Metals:
Other metals (Cd, Cu, Pb) may compete with the zinc transport system
Comparative transcriptome analysis reveals cross-regulation between metal resistance systems
Engineered P. putida strains may require optimized zinc supplementation when used in multi-metal contaminated sites
Oxygen Availability:
Low oxygen conditions alter metal uptake systems and metabolism in P. putida
Recent studies on the streamlined chassis strain P. putida SEM10 show different responses to oxygen limitation compared to wild-type KT2440
For anoxic bioremediation applications, consider oxygen effects on zinc transport systems
Carbon Source Influence:
For detecting recombinant P. putida expressing ZnuC in environmental samples, researchers should employ the following methodological approach:
Molecular Detection Techniques:
PCR-based Methods: Design primers specific to the recombinant znuC construct
Quantitative PCR: Measure copy numbers of znuC genes in environmental samples
Fluorescence in situ Hybridization (FISH): Use probes targeting both 23S rRNA (for P. putida) and znuC mRNA for simultaneous detection
FISH Protocol Optimization Parameters:
| Parameter | Recommended Condition | Notes |
|---|---|---|
| Probe for P. putida | Cy3-labeled targeting 23S rRNA | Species-specific identification |
| Probe for znuC | Alexa647-labeled targeting znuC mRNA | Gene-specific detection |
| Hybridization temperature | Optimized between 45-55°C | Must be experimentally determined |
| Detection method | Confocal microscopy | For visualization in complex matrices |
Functional Detection Methods:
Reporter Gene Fusion: Construct znuC-lux or znuC-gfp fusions for direct detection
Zinc-responsive Biosensors: Develop whole-cell biosensors using the znuC promoter region
Metabolic Fingerprinting: Use BIOLOG plates to identify unique metabolic signatures of the recombinant strain
Cultivation-dependent Methods:
Sample Processing Considerations:
For soil/sediment samples: Include appropriate extraction methods to separate cells from particles
For water samples: Concentration steps (filtration, centrifugation) may be necessary
Consider using internal standards to quantify recovery efficiency
To analyze the effects of ZnuC mutations on zinc uptake and bacterial physiology, researchers should implement these methodological approaches:
Mutant Construction Strategy:
Phenotypic Characterization:
Growth Curves: Compare growth in zinc-limited vs. zinc-replete media
Zinc Uptake Assays: Measure 65Zn uptake rates in wild-type vs. mutant strains
Minimum Inhibitory Concentration (MIC): Determine zinc tolerance
Competitive Fitness Assays: Co-culture wild-type and mutant strains
Molecular and Biochemical Analysis:
ATPase Activity Assays: Measure ATP hydrolysis rates of purified proteins
Conformational Studies: Assess structural changes using circular dichroism
Protein-Protein Interaction Assays: Examine effects on ZnuA and ZnuB interactions
Transcriptome Analysis: Identify compensatory responses using RNA-seq
Advanced Physiological Assessment:
Intracellular Zinc Quantification: Use zinc-specific fluorescent probes or ICP-MS
Metabolic Flux Analysis: Examine effects on central metabolism
Oxidative Stress Markers: Measure ROS levels and antioxidant enzyme activities
Respiratory Chain Analysis: Examine oxygen consumption rates (OCR)
Complementation Strategy:
For accurate quantification of intracellular zinc in P. putida expressing recombinant ZnuC, researchers should employ these analytical approaches:
Sample Preparation Protocols:
Cell Fractionation: Separate periplasmic, membrane, and cytoplasmic fractions
Acid Digestion: Use ultra-pure nitric acid for complete sample digestion
Avoid Contamination: Use metal-free plasticware and reagents
Standardized Washing: Remove extracellular zinc with EDTA washes
Instrumental Methods:
Inductively Coupled Plasma Mass Spectrometry (ICP-MS):
Highest sensitivity (detection limits in ppb range)
Can distinguish isotopes for tracer studies
Provides multi-element analysis
Atomic Absorption Spectroscopy (AAS):
Good specificity for zinc
Simpler operation than ICP-MS
Lower sensitivity than ICP-MS
X-ray Fluorescence (XRF) Microscopy:
Spatial distribution of zinc within cells
Non-destructive analysis
Requires specialized facilities
Fluorescent Probes and Sensors:
Low-Molecular-Weight Zinc Fluorescent Probes:
FluoZin-3 AM (K<sub>d</sub> = 15 nM)
Zinpyr-1 (K<sub>d</sub> = 0.7 nM)
ZIMIR (cell membrane-permeable)
Genetically Encoded Zinc Sensors:
eCALWY sensors (FRET-based)
ZapCY sensors (ratiometric)
Express in P. putida for real-time monitoring
Data Normalization Approaches:
Cell Number: Count cells or measure OD600
Protein Content: Bradford or BCA assay
Dry Weight: For consistent comparison between strains
Internal Standards: Add known amounts before sample processing
Validation and Controls:
Recombinant P. putida ZnuC can be strategically engineered to enhance bioremediation of zinc-contaminated environments through these methodological approaches:
Engineered Overexpression Strategies:
Promoter Engineering: Replace native zur-regulated promoter with constitutive or inducible promoters
Codon Optimization: Enhance translation efficiency in P. putida
Copy Number Increase: Integrate additional znuC copies into the genome
Ribosome Binding Site (RBS) Engineering: Optimize translation initiation
Functional Enhancement Approaches:
Protein Engineering: Modify zinc binding affinity through targeted mutations
System Integration: Co-express with metallothioneins or phytochelatins for zinc sequestration
Metabolic Engineering: Couple zinc uptake to central metabolism for enhanced energy generation
Strain Development Considerations:
Chassis Selection: Use streamlined strains like P. putida SEM10 with reduced genome
Stress Resistance Engineering: Enhance tolerance to oxidative stress induced by high zinc
Multi-metal Resistance: Integrate multiple metal resistance systems
Biofilm Formation: Engineer strains with enhanced biofilm capabilities for immobilization
Field Application Methodologies:
Immobilization Techniques: Encapsulate cells in polymeric matrices
Nutrient Supplementation Strategies: Optimize carbon sources for maximum activity
Monitoring Systems: Develop biosensors for real-time monitoring of bioremediation progress
Co-culture Approaches: Combine with synergistic microorganisms
Performance Metrics and Assessment:
Current methodologies for targeting ZnuC in antimicrobial development against Pseudomonas species include:
Structure-Based Drug Design Approaches:
Virtual Screening: Use platforms like ZINC20 database to screen millions of compounds against ZnuC
Fragment-Based Drug Discovery: Identify small molecule binders to ZnuC active sites
Molecular Docking: Target ATP-binding site or zinc-coordination regions
Pharmacophore Modeling: Develop models based on known ZnuC inhibitors
High-Throughput Screening Strategies:
ATPase Inhibition Assays: Screen for compounds that inhibit ATP hydrolysis
Growth Inhibition in Zinc-Limited Media: Identify compounds with enhanced activity
Reporter-Based Screens: Use znuC-reporter fusions to identify regulators
Whole-Cell Screening: Test compound libraries against Pseudomonas strains
Novel Inhibitor Classes:
ATP-Competitive Inhibitors: Target nucleotide binding domain
Allosteric Inhibitors: Disrupt conformational changes required for function
Metal-Chelating Inhibitors: Compounds that sequester zinc without entering cells
Peptide Inhibitors: Designed to disrupt ZnuA-ZnuC interactions
Combination Therapy Approaches:
Zinc Chelator + Conventional Antibiotics: Enhance efficacy of existing drugs
Multi-Target Strategies: Simultaneously inhibit multiple zinc homeostasis components
Biofilm Disruptors + ZnuC Inhibitors: Address both planktonic and biofilm states
Validation Methodologies:
Systems biology approaches can elucidate the complex role of ZnuC in P. putida's zinc homeostasis network through these integrated methodological strategies:
Multi-omics Integration Approaches:
Transcriptomics: RNA-seq to identify gene expression changes across zinc concentrations
Proteomics: Quantify protein levels and post-translational modifications
Metabolomics: Analyze metabolic shifts in response to zinc availability
Fluxomics: Measure metabolic flux changes using labeled substrates
Integration of these datasets can reveal coordinated responses to zinc stress beyond direct Zur regulation
Network Analysis Methodologies:
Protein-Protein Interaction Networks: Identify ZnuC interactors
Regulatory Network Reconstruction: Map transcription factor binding sites
Metabolic Network Analysis: Identify connections between zinc homeostasis and central metabolism
Signaling Pathway Mapping: Uncover signaling cascades activated by zinc limitation
Mathematical Modeling Approaches:
Kinetic Modeling: Describe dynamics of zinc uptake and distribution
Flux Balance Analysis: Predict metabolic adaptations to zinc limitation
Dynamic Bayesian Networks: Model temporal responses to changing zinc levels
Agent-Based Modeling: Simulate single-cell behaviors in heterogeneous environments
Experimental Design for Systems Approaches:
Time-course Experiments: Capture dynamic responses to zinc perturbations
Dose-response Studies: Systematically vary zinc concentrations
Genetic Perturbation Arrays: Combine znuC mutations with other system components
Environmental Gradient Analysis: Study responses across multiple variables simultaneously
Data Analysis and Visualization Tools:
For optimizing recombinant P. putida ZnuC to enhance protein production in biotechnology applications, researchers should consider these methodological parameters:
Zinc Supplementation Strategy:
Optimal Concentration: 25 mg/L zinc supplementation has shown significant increases in recombinant protein titers
Timing: Add zinc at early exponential phase for maximum effect
Form: ZnSO₄ is commonly used and highly soluble
Comparable effects observed in CHO cells showed:
| Zinc Concentration | EPO Titer Increase | IgG Titer Increase |
|---|---|---|
| Control (no added zinc) | Baseline | Baseline |
| 25 mg/L (CDM media) | 1.7-fold | 2.6-fold |
| 25 mg/L (CDM+A media) | 1.8-fold | 1.2-fold |
Similar enhancement effects may be achievable in P. putida systems
Medium Composition Optimization:
Base Medium: Chemically defined media (CDM) without chelating agents
Carbon Source: Glucose or glycerol at 1-2% for balanced growth
Nitrogen Source: Ammonium salts preferred over amino acids
Buffer System: MOPS or phosphate buffer at pH 7.0-7.2
Other Trace Elements: Balance copper, manganese and iron to prevent antagonism
Cultivation Parameters:
Temperature: 28-30°C optimal for P. putida
Dissolved Oxygen: Maintain above 30% saturation
pH Control: Maintain at 7.0-7.2 for optimal zinc solubility
Feeding Strategy: Fed-batch with glucose feeding to prevent overflow metabolism
Induction Parameters: Optimize timing and inducer concentration
Genetic Engineering Considerations:
Promoter Selection: Strong constitutive promoters (e.g., Ptac) for znuC expression
Codon Optimization: Adapt to P. putida codon usage preference
Vector Stability: Use chromosomal integration for long-term stability
Gene Dosage: Optimize copy number for balanced expression
Process Monitoring and Control: