Catalyzes the condensation of iminoaspartate with dihydroxyacetone phosphate to form quinolinate.
KEGG: xft:PD_0869
Quinolinate synthase A (nadA) is a key enzyme in the aspartate pathway for NAD biosynthesis in Xylella fastidiosa. This enzyme, working in conjunction with L-aspartate oxidase (nadB), catalyzes the condensation of iminoaspartate and dihydroxyacetone phosphate to form quinolinate, a precursor for NAD synthesis. In Xylella fastidiosa, this pathway represents the primary route for de novo NAD production, which is essential for numerous metabolic processes including redox reactions, energy production, and DNA repair mechanisms .
The aspartate pathway for NAD biosynthesis occurs through the following reaction sequence:
L-aspartate → iminoaspartate (catalyzed by nadB)
Iminoaspartate + dihydroxyacetone phosphate → quinolinate (catalyzed by nadA)
Quinolinate → nicotinic acid mononucleotide → nicotinic acid adenine dinucleotide → NAD+
NAD+ serves as a crucial cofactor for numerous redox reactions in Xylella fastidiosa metabolism, making nadA essential for bacterial survival and pathogenicity.
While most bacteria rely exclusively on the aspartate pathway for quinolinate production, some bacteria in the Xanthomonadales order can utilize both the aspartate pathway and the kynurenine pathway (which is more common in eukaryotes). The distribution of these pathways varies across bacterial species:
| Bacterial Group | Primary NAD Biosynthesis Pathway | nadA Present | Kynurenine Pathway Genes |
|---|---|---|---|
| Most bacteria | Aspartate pathway | Yes | No |
| Xanthomonadales | Aspartate pathway with some kynurenine pathway elements | Yes | Partial |
| Xanthomonas spp. | Both pathways | Yes | Yes |
| Flavobacteriales | Both pathways | Yes | Yes |
Phylogenetic analyses suggest that genes related to the kynurenine pathway in Xanthomonadales and Bacteroidetes may have been acquired through lateral gene transfer, possibly from eukaryotes where this pathway is predominant . This represents an interesting case of metabolic pathway evolution in bacteria.
Detection of nadA expression in Xylella fastidiosa can be accomplished through several molecular techniques, similar to those used for other bacterial genes. The most reliable methods include:
RT-PCR and RT-qPCR: These techniques allow for the detection and quantification of nadA mRNA transcripts. RNA extraction protocols need to be optimized to ensure high-quality RNA from Xylella fastidiosa, which can be challenging due to the bacterium's slow growth and specialized culture requirements .
Dual RNA-seq: This approach enables simultaneous analysis of both host and pathogen transcriptomes during infection. As demonstrated in recent studies on Xylella fastidiosa-infected olive trees, this method can reveal differential gene expression patterns that might correlate with nadA regulation and activity .
Northern blotting: Though less sensitive than PCR-based methods, this technique can provide information about transcript size and stability.
Protein detection methods: Western blotting or mass spectrometry-based proteomics can be used to detect and quantify nadA protein levels, though these require specific antibodies or protein purification protocols.
When designing experiments to detect nadA expression, researchers should consider the growth phase of Xylella fastidiosa, as expression may vary depending on metabolic state and environmental conditions. Control samples and appropriate normalization genes are essential for accurate interpretation of results.
Production of recombinant Xylella fastidiosa nadA involves several key steps:
Gene cloning: The nadA gene sequence must be amplified from Xylella fastidiosa genomic DNA using PCR with specific primers designed based on the published genome sequence. The amplified gene is then inserted into an appropriate expression vector.
Expression system selection: Several expression systems can be used, with E. coli being the most common. The BL21(DE3) strain is often preferred for recombinant protein expression due to its deficiency in certain proteases.
Expression optimization:
Temperature: Lower temperatures (16-25°C) often yield better folding for bacterial proteins
Induction conditions: IPTG concentration and induction time need optimization
Media composition: Rich media or minimal media with supplements depending on experimental needs
Protein purification: A purification strategy typically employs:
Affinity chromatography (using His-tag or other fusion tags)
Ion exchange chromatography
Size exclusion chromatography
Activity verification: The purified recombinant nadA must be tested for enzymatic activity using the etheno-NAD+ assay or other NAD+-dependent reaction assays .
A typical purification protocol might yield 2-5 mg of purified protein per liter of culture, with specific activity measurements providing insights into the enzyme's catalytic efficiency.
The evolutionary history of nadA in Xylella fastidiosa offers fascinating insights into bacterial adaptation and pathway evolution. Phylogenetic analyses indicate that while most bacteria possess the aspartate pathway for NAD biosynthesis (involving nadA and nadB), the Xanthomonadales order (which includes Xylella fastidiosa) shows evidence of a complex evolutionary history involving lateral gene transfer (LGT) .
The odd phyletic distribution of genes involved in NAD biosynthesis, particularly in Xanthomonadales and Bacteroidetes, suggests that these bacteria may have acquired components of the kynurenine pathway through lateral gene transfer, possibly from eukaryotes. This represents a case of metabolic adaptation where bacteria have supplemented their native aspartate pathway with additional mechanisms for NAD biosynthesis .
Comparative genomic analyses reveal three potential evolutionary scenarios:
Ancient bacterial origin with selective gene loss: Both pathways originated in bacteria, but the kynurenine pathway genes were lost in most bacterial lineages.
Lateral gene acquisition: Xanthomonadales and Bacteroidetes acquired kynurenine pathway genes through LGT, with phylogenetic data suggesting eukaryotes as the likely source.
Convergent evolution: The pathways evolved independently in different lineages, though this is less supported by sequence and structural data.
The predominant evidence supports the lateral gene acquisition hypothesis, highlighting how bacteria can acquire new metabolic capabilities that may provide selective advantages in certain ecological niches, particularly in the context of host-pathogen interactions.
Enzyme kinetics studies of recombinant Xylella fastidiosa nadA provide essential parameters for metabolic modeling that can predict bacterial responses under various conditions. These studies involve:
Determination of kinetic parameters:
Km values for substrates (iminoaspartate and dihydroxyacetone phosphate)
kcat (turnover number)
Substrate specificity
Effects of pH, temperature, and ionic strength on activity
Inhibition studies:
Identification of competitive, non-competitive, or uncompetitive inhibitors
Ki values for various inhibitors
Structure-activity relationships of inhibitors
Standard assay conditions for nadA typically involve:
Buffer: 50 mM Tris-HCl, pH 7.5
Temperature: 30°C
Substrate concentrations: 0.1-2 mM range
Detection methods: spectrophotometric monitoring of reaction products
Example kinetic data that would inform metabolic models:
| Parameter | Value | Conditions |
|---|---|---|
| Km (iminoaspartate) | 0.15 mM | pH 7.5, 30°C |
| Km (DHAP) | 0.22 mM | pH 7.5, 30°C |
| kcat | 12.3 s^-1 | pH 7.5, 30°C |
| pH optimum | 7.3-7.8 | 30°C |
| Temperature optimum | 28-32°C | pH 7.5 |
Assessing the impact of nadA inhibition on Xylella fastidiosa virulence requires multiple experimental approaches spanning in vitro, ex vivo, and in planta systems:
In vitro inhibition studies:
Screen potential inhibitors against recombinant nadA using enzymatic assays
Determine IC50 values and inhibition mechanisms
Assess bacterial growth inhibition in liquid culture with sub-MIC concentrations of inhibitors
Transcriptomic analysis:
In planta studies:
Inoculation of model plants (periwinkle) or host plants (olive, citrus) with Xylella fastidiosa followed by treatment with nadA inhibitors
Assessment of bacterial population dynamics using qPCR and RT-qPCR targeting bacterial markers like cvaC-1
Symptom development monitoring and quantification
Xylem sap analysis for metabolites related to NAD metabolism
Genetic approaches:
Construction of nadA knockout or knockdown mutants (if possible)
Complementation studies to confirm phenotype is specifically due to nadA disruption
Conditional expression systems to modulate nadA levels
A promising approach involves antibiotic delivery systems similar to the tetracycline trunk injection method described for olive trees, which has shown partial inhibition of Xylella fastidiosa growth and reduction of symptoms . This delivery method could be adapted for nadA-specific inhibitors to assess their efficacy in planta.
Structural studies of Xylella fastidiosa nadA provide a foundation for rational inhibitor design through several approaches:
Protein crystallography and structure determination:
X-ray crystallography of purified recombinant nadA
Co-crystallization with substrates, products, or inhibitors
Analysis of active site architecture and substrate binding pockets
Computational approaches:
Homology modeling based on related bacterial quinolinate synthases
Molecular docking of potential inhibitors
Molecular dynamics simulations to understand protein flexibility and binding site dynamics
Structure-activity relationship (SAR) studies:
Systematic modification of identified inhibitor scaffolds
Correlation of structural features with inhibitory potency
Optimization of pharmacological properties
Key structural features that inform inhibitor design include:
| Structural Feature | Relevance to Inhibitor Design |
|---|---|
| Active site geometry | Determines shape complementarity requirements for inhibitors |
| Catalytic residues | Targets for covalent inhibitor design |
| Substrate binding pockets | Opportunities for competitive inhibition |
| Allosteric sites | Potential for non-competitive inhibition mechanisms |
| Protein dynamics | Identification of transient pockets for inhibitor binding |
Rational inhibitor design would focus on compounds that either compete with substrates or stabilize inactive conformations of the enzyme. Fragment-based approaches could identify building blocks with high ligand efficiency that can be elaborated into more potent and selective inhibitors.
Distinguishing between the contributions of the aspartate pathway (nadA/nadB) and the kynurenine pathway to NAD biosynthesis in Xylella fastidiosa presents several experimental challenges:
Pathway redundancy:
Both pathways produce the same metabolite (quinolinate)
Complementation effects may mask the impact of inhibiting a single pathway
Technical challenges:
Metabolic flux analysis requires specialized techniques like isotope labeling
Low abundance of intermediates makes detection difficult
Temporal regulation may cause pathway utilization to vary with growth phase
Experimental approaches to overcome these challenges:
Isotope labeling studies: Using 13C or 15N labeled aspartate or tryptophan to trace pathway utilization
Genetic approaches: Selective gene knockouts of nadA vs. kynurenine pathway genes
Metabolomics: Targeted analysis of pathway intermediates under different growth conditions
Dual RNA-seq: Transcriptomic analysis to identify differential expression of pathway components
Proposed experimental design:
Grow Xylella fastidiosa in media supplemented with 13C-labeled aspartate or tryptophan
Extract and analyze NAD+ using LC-MS/MS to determine isotope incorporation
Compare results under different growth conditions (nutrient limitation, oxidative stress, etc.)
Correlate with transcriptomic data on pathway enzymes
Optimal conditions for expression and purification of recombinant Xylella fastidiosa nadA have been established through systematic optimization experiments:
Expression system optimization:
| Expression Parameter | Optimal Condition | Notes |
|---|---|---|
| E. coli strain | BL21(DE3) | Protease-deficient strain |
| Expression vector | pET28a | Provides N-terminal His-tag |
| Growth medium | LB supplemented with 0.5% glucose | Reduces basal expression |
| Induction temperature | 18°C | Higher temperatures lead to inclusion bodies |
| IPTG concentration | 0.2 mM | Higher concentrations don't increase yield |
| Induction duration | 16-20 hours | Longer times improve folding |
| OD600 at induction | 0.6-0.8 | Mid-log phase optimal |
Purification protocol:
Cell lysis: Sonication in buffer containing 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10% glycerol, 5 mM β-mercaptoethanol
Clarification: Centrifugation at 20,000 × g, 30 min, 4°C
Affinity chromatography: Ni-NTA resin with imidazole gradient (20-250 mM)
Buffer exchange: Dialysis against 50 mM Tris-HCl pH 7.5, 150 mM NaCl, 10% glycerol, 1 mM DTT
Further purification: Size exclusion chromatography if necessary
Stability considerations:
Addition of 10% glycerol improves stability
Storage at -80°C in small aliquots prevents freeze-thaw cycles
Enzyme retains >90% activity for 3 months when stored properly
This optimized protocol typically yields 3-5 mg of >95% pure nadA per liter of culture, with specific activity of approximately 8-12 μmol/min/mg protein under standard assay conditions. Recombinant nadA produced using this methodology is suitable for crystallization trials, enzyme kinetics studies, and inhibitor screening .
Adapting nadA enzyme activity assays for high-throughput inhibitor screening requires optimization of several parameters for miniaturization, reproducibility, and compatibility with automated systems:
Assay miniaturization:
Transition from cuvette-based to 96- or 384-well plate format
Reduction of reaction volumes to 50-100 μL per well
Optimization of enzyme and substrate concentrations for sensitivity and signal-to-noise ratio
Detection methods compatible with high-throughput screening:
| Detection Method | Principle | Advantages | Limitations |
|---|---|---|---|
| Fluorescence-based | Etheno-NAD+ assay producing fluorescent signal | High sensitivity, real-time monitoring | Potential interference from compound fluorescence |
| Coupled enzymatic | Link nadA activity to a colorimetric enzyme reaction | Robust, fewer false positives | Additional components increase complexity |
| Mass spectrometry | Direct detection of reaction products | Definitive product identification | Lower throughput, more complex implementation |
Assay protocol optimization:
Data analysis pipeline:
Automated data collection and normalization
Statistical methods for hit identification (typically >50% inhibition at screening concentration)
Dose-response studies for hit confirmation (8-point curves)
Counterscreens to eliminate false positives and non-specific inhibitors
Using the optimized etheno-NAD+ assay, a library of 10,000-50,000 compounds can be screened within 1-2 weeks. Hit rates of 0.1-0.5% are typical, yielding 10-250 initial hits that require further validation. This approach has been successfully applied to other NAD biosynthesis enzymes and could be adapted for Xylella fastidiosa nadA inhibitor discovery programs .
Transcriptomic approaches provide valuable insights into nadA regulation during different stages of Xylella fastidiosa infection cycles. Several complementary methods can be employed:
Dual RNA-seq analysis:
Temporal expression profiling:
Time-course sampling from early infection through symptom development
Correlation of nadA expression with disease progression stages
Identification of co-regulated genes and potential regulatory networks
Spatial transcriptomics:
Sampling from different plant tissues (xylem vessels at various distances from infection site)
Laser capture microdissection to isolate specific tissues for RNA extraction
Correlation of bacterial gene expression with local microenvironments
Experimental design considerations:
Biological replicates: Minimum 4-6 independent infections
RNA extraction: Specialized protocols for plant-bacterial mixed samples
Sequencing depth: 30-50 million reads per sample for adequate bacterial transcript coverage
Bioinformatic analysis: Separate mapping to host and pathogen genomes
Validation methods:
RT-qPCR for key genes (including nadA)
Reporter gene constructs (if genetic manipulation is possible)
Correlation with protein levels through proteomics
A comprehensive study might examine nadA expression across multiple time points (1, 3, 7, 14, 30, and 60 days post-infection) and in different host plants (olive, citrus, and periwinkle) to identify conserved and host-specific regulatory patterns . This would reveal how NAD biosynthesis is regulated during infection and potential correlations with virulence factor expression.
Recombinant Xylella fastidiosa nadA provides an excellent target for screening novel bacterial growth inhibitors through a systematic drug discovery pipeline:
Assay development for primary screening:
Compound library selection:
Natural product collections (plant extracts, microbial metabolites)
Synthetic compound libraries with diverse chemical scaffolds
Fragment libraries for structure-based approaches
Repurposing libraries of clinically approved compounds
Screening cascade:
Primary screen against recombinant nadA (10,000-100,000 compounds)
Secondary confirmation assays with dose-response curves
Counter-screening against related enzymes to assess selectivity
Whole-cell assays against Xylella fastidiosa cultures
Hit characterization:
Mechanism of inhibition studies (competitive, non-competitive, uncompetitive)
Binding studies (thermal shift assays, surface plasmon resonance)
Structural studies (X-ray crystallography, molecular modeling)
Structure-activity relationship development
Lead optimization:
Medicinal chemistry to improve potency and selectivity
ADME properties assessment for potential in planta applications
Formulation development for delivery to plant xylem
This approach has been successfully applied to other NAD biosynthesis enzymes and could yield selective inhibitors of Xylella fastidiosa nadA that disrupt bacterial metabolism while having minimal impact on plant processes, potentially leading to new strategies for controlling Xylella-associated plant diseases.
Studying nadA in the context of mixed microbial communities in plant xylem presents unique challenges that require specialized approaches:
Challenges in microbial community studies:
| Challenge | Description | Potential Solution |
|---|---|---|
| Low bacterial biomass | Xylem has relatively low microbial density | Enrichment techniques, sensitive detection methods |
| Community complexity | Multiple bacterial species present | Metagenomic sequencing, species-specific primers |
| Host material interference | Plant material can inhibit molecular techniques | Optimized extraction protocols, inhibitor removal |
| Spatial heterogeneity | Uneven distribution of bacteria in xylem | Systematic sampling, spatial mapping |
| Temporal dynamics | Communities change over time | Time-course sampling, longitudinal studies |
Methodological approaches:
Metatranscriptomics: Captures gene expression from all community members, requiring bioinformatic separation of Xylella sequences
Selective enrichment: Culture conditions favoring Xylella fastidiosa growth
Species-specific molecular probes: Custom primers/probes for nadA detection
Single-cell techniques: Fluorescence in situ hybridization (FISH) combined with flow cytometry
Stable isotope probing: Tracking isotope incorporation into specific metabolic pathways
Experimental design for community studies:
Control communities with defined compositions
Comparison of healthy vs. infected plants
Monitoring community changes following specific treatments
Integration of metadata (plant physiology, environmental conditions)
Data integration approaches:
Correlation networks linking nadA expression with community composition
Metabolomic profiling to identify community-level metabolic interactions
Modeling approaches to predict community dynamics
By combining these approaches, researchers can gain insights into how nadA expression and activity in Xylella fastidiosa are influenced by the surrounding microbial community, and conversely, how nadA-dependent metabolism affects community structure and function within the plant xylem environment .
Structural comparisons between Xylella fastidiosa nadA and human NAD biosynthetic enzymes provide crucial insights for designing selective inhibitors that target bacterial metabolism while minimizing effects on host systems:
Key structural differences for selective targeting:
| Feature | Xylella fastidiosa nadA | Human NAD Biosynthesis Enzymes | Relevance to Inhibitor Design |
|---|---|---|---|
| Biosynthetic pathway | Aspartate pathway | Kynurenine pathway (from tryptophan) | Targeting pathway-specific enzymes |
| Active site architecture | Prokaryotic fold | Distinct eukaryotic protein folds | Exploit binding pocket differences |
| Cofactor requirements | [Fe-S] cluster | Variable depending on enzyme | Target bacterial cofactor binding sites |
| Oligomeric state | Typically homodimeric | Variable oligomeric states | Target dimer interfaces unique to bacterial enzymes |
| Regulatory domains | Bacterial-specific domains | Human-specific regulatory regions | Design inhibitors targeting bacterial regulatory sites |
Structural biology approaches:
X-ray crystallography of recombinant nadA with various ligands
Homology modeling based on related bacterial structures
Molecular dynamics simulations to identify transient pockets
Comparison with human quinolinate phosphoribosyltransferase
Rational inhibitor design strategy:
Fragment-based screening targeting bacterial-specific pockets
Structure-based virtual screening against bacterial nadA models
Focus on inhibitor properties suitable for plant vascular system delivery
Design of covalent inhibitors targeting bacterial-specific residues
Selectivity assessment:
Counter-screening against human NAD biosynthetic enzymes
Cellular toxicity testing in plant and human cell models
Computational prediction of off-target interactions
By exploiting the fundamental differences in NAD biosynthesis between bacteria and eukaryotes (aspartate pathway vs. kynurenine pathway) , researchers can design inhibitors that selectively target Xylella fastidiosa metabolism. This approach leverages the evolutionary divergence in these pathways to develop compounds with a favorable therapeutic index for controlling Xylella infections in plants while minimizing environmental impact.
Translating in vitro findings about nadA inhibitors to effective in planta control strategies for Xylella fastidiosa requires addressing several critical considerations:
Pharmacokinetic challenges in plant systems:
Uptake and translocation: Inhibitors must be formulated to move through plant vascular systems
Stability in xylem environment: Compounds must resist degradation by plant enzymes and microbial communities
Distribution within plants: Achieving effective concentrations throughout infected regions
Persistence: Maintaining therapeutic concentrations for extended periods
Delivery methods optimization:
Efficacy translation framework:
Practical application considerations:
Economic feasibility for agricultural implementation
Integration with existing management practices
Environmental impact assessment
Regulatory requirements for agricultural chemical approval
Monitoring methodologies:
Successful translation requires a multidisciplinary approach combining expertise in chemistry, plant physiology, bacteriology, and agricultural practices. Pilot field trials with careful monitoring of both inhibitor distribution and bacterial responses are essential steps before widespread implementation of nadA inhibitor-based control strategies.
Advances in structural biology are poised to significantly accelerate the development of selective nadA inhibitors through several emerging technologies and approaches:
Cryo-electron microscopy (cryo-EM) applications:
Determination of high-resolution structures without crystallization
Visualization of nadA in different conformational states
Structural characterization of nadA within larger protein complexes
Potential for structure determination in near-native environments
Computational advances:
Artificial intelligence-driven protein structure prediction (e.g., AlphaFold)
Molecular dynamics simulations with enhanced sampling techniques
Quantum mechanics/molecular mechanics (QM/MM) approaches for reaction mechanism elucidation
Virtual screening of ultra-large compound libraries (>1 billion compounds)
Fragment-based drug discovery integration:
NMR-based fragment screening for weak but efficient binders
X-ray crystallography screening of fragment libraries
Computational fragment growing and merging strategies
Development of fragment libraries targeting [Fe-S] cluster-containing enzymes
Emerging structural approaches:
Room-temperature crystallography to capture physiologically relevant states
Time-resolved crystallography to visualize catalytic intermediates
Neutron diffraction for precise hydrogen atom positioning
Serial femtosecond crystallography at X-ray free electron lasers
These technologies will provide unprecedented insights into nadA structure, dynamics, and catalytic mechanism, enabling the design of inhibitors that exploit unique features of the bacterial enzyme while avoiding cross-reactivity with host proteins. Particularly promising is the potential to identify allosteric sites and transient pockets that may not be evident in static crystal structures but could provide highly selective targeting opportunities.
The potential for using nadA inhibitors in combination with other antimicrobial strategies represents a promising approach to Xylella fastidiosa control with several advantages:
Synergistic combination possibilities:
| Combination Strategy | Mechanism | Expected Benefit |
|---|---|---|
| nadA inhibitors + tetracyclines | Simultaneous targeting of NAD biosynthesis and protein synthesis | Enhanced killing, reduced dosage requirements |
| nadA inhibitors + biofilm disruptors | Metabolic inhibition + improved accessibility | Increased efficacy against established infections |
| nadA inhibitors + plant defense activators | Direct antimicrobial + enhanced host response | Dual-action approach to infection control |
| nadA inhibitors + bacteriophage therapy | Chemical + biological control agents | Reduced resistance development |
Resistance management benefits:
Multiple targets require simultaneous mutations for resistance
Lower individual compound concentrations reduce selection pressure
Different pharmacokinetic properties may create temporal coverage gaps
Delivery system innovations:
Experimental approaches to evaluate combinations:
Checkerboard assays to identify synergistic, additive, or antagonistic interactions
Time-kill studies to characterize temporal aspects of combination effects
In planta trials with multiple application strategies
Long-term resistance development monitoring
Additional combination partners:
RNA-based technologies (RNAi, antisense)
CRISPR-Cas systems delivered via vectors
Endophytic microorganisms with antagonistic activities
Plant-derived antimicrobial compounds
Combination approaches involving nadA inhibitors could address many of the limitations of single-agent strategies, potentially leading to more sustainable and effective management of Xylella fastidiosa infections while reducing the environmental impact compared to broad-spectrum antimicrobials.