Disulfide bond (Dsb) systems are essential post-translational protein modification systems in bacteria . These systems catalyze the formation of disulfide bonds, which stabilize protein structures and are crucial for protein activity. They play a key role in assembling virulence factors in bacteria . In Gram-negative bacteria, this process occurs in the periplasm .
The Dsb system involves an oxidation pathway and an isomerization/reduction pathway . Dsb proteins facilitate the formation of disulfide bonds, a rate-limiting step in protein folding .
Xylella fastidiosa (Xf) is a bacterium that causes diseases in plants. It utilizes a type II secretion system (T2SS) to secrete proteins that are critical for the infection process .
The Xf genome contains genes encoding Dsb proteins, including DsbE . These proteins are necessary for the correct folding of cell-wall associated proteins and secreted extracellular proteins .
Dsb systems are known to play an essential role in bacterial virulence .
Studies have shown that Xf has a functional T2SS system, and the proteins secreted by this system are critical for infection . Secretome analysis of wild-type and mutant strains of Xf revealed differences in protein profiles, indicating the importance of secreted proteins in pathogenicity .
Dsb proteins are considered potential targets for new anti-virulence drugs to treat human infections .
This protein is involved in disulfide bond formation. It catalyzes a late, reductive step in the assembly of periplasmic c-type cytochromes, likely reducing the disulfide bonds of apocytochrome c to enable covalent heme attachment. It may also function as a subunit of a heme lyase.
KEGG: xft:PD_1480
The thiol:disulfide interchange protein DsbE in Xylella fastidiosa likely plays a crucial role in the pathogen's virulence mechanisms. Disulfide bonds provide structural stability to proteins and regulate enzyme activity across all domains of life . In bacterial pathogens, including X. fastidiosa, these bonds are particularly important for the proper functioning of secreted proteins and virulence factors.
The function of many Gram-positive and Gram-negative bacteria virulence factors depends on the formation of correct disulfide bonds, including those important in adhesion to host cells, bacterial spread and growth, and host cell manipulation . Given that X. fastidiosa is a xylem-limited bacterium causing several economically important plant diseases including grapevine Pierce's disease, citrus variegated chlorosis, and olive scorch , the DsbE protein likely contributes to the pathogen's ability to colonize plant hosts and cause disease symptoms by ensuring proper protein folding and function in the challenging xylem environment.
Research methodologies to investigate this question should include gene knockout studies, complementation assays, and virulence comparisons between wild-type and DsbE-deficient strains across multiple host plant species.
Understanding the structural differences between X. fastidiosa DsbE and homologous proteins in other bacterial species requires comparative structural biology approaches. Begin with sequence alignment of DsbE across diverse bacterial species using tools like MUSCLE or CLUSTALW. Next, perform structural predictions using homology modeling software such as SWISS-MODEL or Phyre2, followed by validation through molecular dynamics simulations.
Key structural features to analyze include the active site CXXC motif, which is likely conserved across species but may have subtle differences in the intervening amino acids that affect redox potential . Additionally, examine substrate binding regions that may reflect adaptation to X. fastidiosa's specific environmental niche as a xylem-limited plant pathogen .
The distinct evolutionary pressures faced by X. fastidiosa subspecies (fastidiosa, pauca, multiplex, sandyi, tashke, and morus) may have resulted in subspecies-specific adaptations in DsbE structure. These differences could be visualized through structural superimposition and electrostatic surface potential analysis to identify unique binding interfaces or catalytic properties.
Purification of active recombinant X. fastidiosa DsbE requires careful consideration of expression systems and purification strategies to maintain the protein's native conformation and enzymatic activity.
Recommended methodology:
Cloning and expression optimization:
Clone the partial or complete dsbE gene from X. fastidiosa into pET expression vectors with either N- or C-terminal His-tags
Test multiple E. coli expression strains (BL21(DE3), Origami, SHuffle) - the latter two are recommended as they enhance disulfide bond formation
Optimize expression conditions using a temperature range (16-30°C) and IPTG concentrations (0.1-1.0 mM)
Purification protocol:
Lyse cells in buffer containing 50 mM Tris-HCl pH 8.0, 300 mM NaCl, 10% glycerol
Include reducing agents (2-5 mM DTT) during initial purification steps
Employ immobilized metal affinity chromatography (IMAC) followed by size exclusion chromatography
Consider on-column refolding protocols if the protein forms inclusion bodies
Activity verification:
Assess thiol:disulfide interchange activity using standard insulin reduction assays
Verify correct folding through circular dichroism spectroscopy
Confirm redox potential using redox equilibrium studies with glutathione
This methodological approach addresses the challenges specific to disulfide bond-containing proteins while maximizing yield and activity of the recombinant DsbE.
Recombination is a significant driver of X. fastidiosa evolution, with genomic analyses revealing that individual nucleotides are three times more likely to change due to recombination than due to point mutation . This genomic plasticity may directly impact the diversity and function of proteins involved in pathogenicity, including DsbE.
To investigate the influence of recombination on DsbE functional diversity, researchers should:
Perform comparative genomic analysis of dsbE sequences from all known X. fastidiosa subspecies (fastidiosa, pauca, multiplex, sandyi, tashke, and morus)
Apply recombination detection methods such as:
RDP4 suite containing multiple algorithms for recombination detection
GARD (Genetic Algorithm for Recombination Detection)
ClonalFrameML for phylogenetic analysis accounting for recombination
Identify potential recombination breakpoints within and flanking the dsbE gene by analyzing:
Sequence diversity patterns
Linkage disequilibrium
Phylogenetic incongruence between gene segments
Experimentally validate functional differences between DsbE variants using:
Site-directed mutagenesis to create chimeric proteins
Redox activity assays measuring disulfide interchange kinetics
Cross-complementation studies in different X. fastidiosa subspecies
Research has demonstrated that each of the main X. fastidiosa subspecies is under different selective pressures , which may drive functional diversification of proteins like DsbE. Understanding how recombination shapes this diversity could provide insights into subspecies-specific host adaptation and pathogenicity mechanisms.
The formation of biofilms is a crucial aspect of X. fastidiosa pathogenicity, enabling colonization of plant xylem vessels and contributing to disease symptoms through vascular occlusion. Investigating the role of DsbE in biofilm formation requires a multifaceted approach:
Generate dsbE knockout and complemented strains through homologous recombination or CRISPR-Cas9 genome editing
Quantitatively assess biofilm formation using:
Crystal violet staining of in vitro biofilms
Confocal laser scanning microscopy with fluorescently labeled strains
Scanning electron microscopy to examine biofilm architecture
Analyze extracellular matrix composition differences between wild-type and dsbE mutants:
Quantify exopolysaccharide production
Profile biofilm protein content through proteomics
Examine eDNA contributions to matrix stability
Evaluate the oxidation state of key biofilm-associated proteins in wild-type versus dsbE mutant strains
Perform in planta colonization studies using:
Gfp-tagged bacterial strains for visualization
qPCR quantification of bacterial populations in xylem
Transcriptomic analysis of dsbE expression during different stages of host colonization
| Phenotype | Wild-type X. fastidiosa | dsbE Knockout | Complemented Strain |
|---|---|---|---|
| Attachment to surfaces | +++ | + | +++ |
| Microcolony formation | +++ | ++ | +++ |
| Mature biofilm development | +++ | + | ++ |
| EPS production | +++ | + | ++ |
| Xylem colonization | +++ | + | +++ |
Note: This table represents hypothetical results based on expected DsbE function; actual experimental data may vary.
Understanding DsbE's role in biofilm formation could reveal new targets for controlling X. fastidiosa infections in economically important crops.
X. fastidiosa encounters various environmental stresses as it transitions between insect vectors and plant hosts. The expression and activity of DsbE may be modulated in response to these changing conditions. To investigate this relationship:
Design transcriptomic experiments analyzing dsbE expression under various conditions:
Temperature shifts (18-32°C) simulating seasonal changes
pH variations (5.0-7.0) mimicking different xylem environments
Nutrient limitation reflecting xylem composition differences between host species
Oxidative stress conditions simulating plant defense responses
Develop a reporter system to monitor dsbE promoter activity in real-time:
Construct dsbE promoter-GFP or -luciferase fusions
Monitor expression changes during transition from planktonic to biofilm growth
Track expression during different stages of infection in multiple host plants
Perform in vitro enzymatic assays to assess DsbE activity under varying conditions:
Measure thiol:disulfide exchange rates at different temperatures
Determine pH optima and stability profiles
Assess the impact of oxidative stress on enzyme kinetics
Analyze post-translational modifications of DsbE using mass spectrometry:
Identify potential regulatory modifications (phosphorylation, S-glutathionylation)
Determine how these modifications affect enzyme activity
Map the regulatory network controlling DsbE function
Understanding how environmental factors influence DsbE expression and activity could help explain the differential virulence of X. fastidiosa on various host plants and under different climatic conditions .
Recent research has highlighted the importance of type I restriction-modification (R-M) systems in X. fastidiosa horizontal gene transfer and recombination . These systems regulate DNA methylation patterns, which can influence gene expression and genome plasticity. Investigating the relationship between DsbE and type I R-M systems requires specialized methodologies:
Analyze the genomic context of dsbE in relation to R-M system components across X. fastidiosa strains:
Examine co-occurrence patterns of specific dsbE alleles with R-M system variants
Identify potential co-regulation through shared regulatory elements
Map physical proximity on the chromosome that might indicate functional linkage
Investigate the methylation status of the dsbE gene and its promoter region:
Perform bisulfite sequencing to map methylation patterns
Compare methylation profiles across strains with different R-M system alleles
Correlate methylation patterns with dsbE expression levels
Examine the disulfide bond status of R-M system proteins:
Identify conserved cysteine residues in HsdS, HsdM, and HsdR subunits
Perform thiol-trapping experiments to determine in vivo redox state
Test whether DsbE can catalyze disulfide bond formation in R-M proteins
Create double mutants lacking both dsbE and components of type I R-M systems:
Assess changes in transformation efficiency and natural competence
Measure alteration in recombination frequencies
Quantify impacts on genome methylation patterns
This investigation could reveal previously unrecognized connections between protein disulfide bond formation and epigenetic regulation in X. fastidiosa, potentially explaining mechanisms of strain-specific host adaptation and virulence .
Analyzing DsbE genetic variation across X. fastidiosa isolates requires a combination of established and cutting-edge molecular techniques. Based on the evolution of molecular methods used for X. fastidiosa characterization , researchers should consider:
PCR-based approaches:
Design primers targeting conserved regions flanking dsbE
Optimize PCR conditions for high-fidelity amplification
Consider touchdown PCR to improve specificity when working with field isolates
Sequencing strategies:
Sanger sequencing for individual isolate characterization
Illumina sequencing for high-throughput analysis of multiple isolates
Oxford Nanopore or PacBio long-read sequencing to capture genomic context
Targeted amplicon sequencing focusing on dsbE and flanking regions
Comparative genomic approaches:
Whole genome alignment to identify structural variations affecting dsbE
SNP and indel analysis to characterize allelic variation
Synteny analysis to detect genomic rearrangements affecting dsbE expression
Population genetics analysis:
When interpreting results, researchers should consider that recombination rates in X. fastidiosa are high, with nucleotides three times more likely to change due to recombination than mutation . This necessitates appropriate analytical methods that account for horizontal gene transfer when reconstructing evolutionary relationships of dsbE variants.
Distinguishing between DsbE and other Dsb family proteins (DsbA, DsbB, DsbC, DsbD, etc.) in functional studies is critical for accurate characterization. These proteins share similar catalytic mechanisms but have distinct roles in disulfide bond formation and isomerization pathways. Recommended approaches include:
Biochemical differentiation:
Determine redox potential values using glutathione equilibrium methods
Measure enzyme kinetics with specific substrates
Assess protein-protein interactions with putative partners
Analyze pH dependence of catalytic activity
Structural characterization:
Compare active site CXXC motifs (amino acid composition affects function)
Analyze substrate binding pockets using molecular modeling
Perform circular dichroism to assess secondary structure differences
Use thermal shift assays to compare protein stability
Substrate specificity profiling:
Develop proteomic approaches to identify native substrates
Use peptide arrays to determine sequence preferences
Perform in vitro folding assays with model substrates
Cellular localization:
Create fluorescent protein fusions to track subcellular localization
Perform fractionation studies to determine membrane association
Use immunogold electron microscopy for precise localization
| Dsb Protein | Typical Redox Potential | Primary Location | Main Function | Key Structural Features |
|---|---|---|---|---|
| DsbA | -120 mV | Periplasm | Oxidase | Surface hydrophobic groove |
| DsbB | N/A | Inner membrane | Oxidase of DsbA | Multiple transmembrane domains |
| DsbC | -130 mV | Periplasm | Isomerase | Homodimeric V-shape |
| DsbD | N/A | Inner membrane | Reductant transfer | Multiple transmembrane domains |
| DsbE | -170 to -220 mV | Periplasm | Specialized oxidase | Thioredoxin-like fold |
This methodological framework ensures that functional studies accurately attribute observed phenotypes to the correct Dsb protein, avoiding misinterpretation of results due to functional overlap between family members.
Evaluating DsbE activity requires different experimental approaches depending on whether investigations are conducted in vitro or in planta. Each environment presents unique challenges and considerations:
In vitro activity assessment:
Enzyme kinetic assays:
Use synthetic peptides containing appropriate disulfide bonds as substrates
Monitor thiol:disulfide exchange using fluorescence-based assays
Optimize buffer conditions (pH 6.0-7.5, 50-150 mM NaCl)
Include physiologically relevant concentrations of glutathione to mimic in vivo redox environment
Thermal stability profiles:
Perform differential scanning fluorimetry across pH range 5.0-8.0
Test stability in the presence of plant xylem extract components
Assess the impact of divalent cations (Ca²⁺, Mg²⁺) on activity and stability
Interaction studies:
Identify binding partners using pull-down assays coupled with mass spectrometry
Quantify binding affinities through isothermal titration calorimetry
Visualize protein-protein interactions via biolayer interferometry
In planta activity assessment:
Expression systems:
Develop X. fastidiosa strains expressing tagged DsbE variants
Create reporter systems linking DsbE activity to fluorescent output
Establish methods to extract active enzyme from infected plant tissue
Plant infection protocols:
Standardize inoculation procedures across different host plants
Develop sampling techniques for xylem sap at various infection stages
Create micro-environmental sensors to monitor conditions in xylem vessels
Activity measurements:
Assess redox state of known DsbE substrates in planta
Monitor changes in disulfide bond patterns during infection progression
Correlate DsbE activity with virulence phenotypes across host range
Considerations for environmental variables:
Account for diurnal temperature fluctuations
Consider seasonal changes in plant physiology
Standardize plant growth conditions to minimize variability
These methodological considerations ensure that DsbE activity assessments accurately reflect the protein's function in both controlled laboratory settings and the complex environment of infected plant tissues.
Discrepancies between genomic predictions and experimental results for DsbE function can arise from various sources. A systematic approach to resolving these conflicts includes:
Re-evaluate bioinformatic predictions:
Assess the quality of genome assembly and annotation
Consider alternative start codons or splice variants
Examine the possibility of sequencing errors in key functional domains
Compare predictions across multiple algorithms and databases
Review experimental methodology:
Verify protein expression and correct folding
Ensure assay conditions reflect physiological environment
Check for interfering factors in experimental systems
Validate results using complementary techniques
Consider biological explanations:
Post-translational modifications not predicted from sequence
Protein moonlighting (multiple functions of the same protein)
Context-dependent functionality based on interaction partners
Genetic background effects in different X. fastidiosa strains
Integration strategies:
Develop a hypothesis reconciliation framework
Design targeted experiments to address specific discrepancies
Use structural modeling to predict the impact of sequence variations
Apply systems biology approaches to place DsbE in broader cellular context
When working with X. fastidiosa, remember that high rates of recombination can lead to mosaic genes with complex evolutionary histories . This genomic plasticity may explain functional variations not easily predicted from sequence data alone and necessitates careful interpretation of experimental results across different strains and subspecies.
The high rates of recombination in X. fastidiosa necessitate specialized statistical approaches when analyzing DsbE sequence variation:
Recombination-aware phylogenetic methods:
ClonalFrameML or Gubbins to detect and account for recombination events
STRUCTURE or fastGEAR for population structure analysis
PhiPack for detecting recombination breakpoints
BAPS for Bayesian clustering of sequence types
Selection analysis approaches:
PAML for detecting positive selection on specific codons
FUBAR for fast unconstrained Bayesian approximation
MEME for detecting episodic diversifying selection
BUSTED for gene-wide tests of selection
Appropriate measures of genetic diversity:
π (nucleotide diversity) calculated separately for recombining/non-recombining regions
dN/dS ratios with sliding window analysis
Linkage disequilibrium decay rates as indicators of recombination frequency
FST values for population differentiation based on DsbE sequences
Comparative statistical frameworks:
Bayesian skyline plots to infer historical population dynamics
Mantel tests to correlate genetic and geographic/host distances
AMOVA to partition genetic variance among hierarchical groups
Network-based approaches (SplitsTree) to visualize complex evolutionary relationships
When interpreting results, researchers should account for the known subspecies structure within X. fastidiosa (fastidiosa, pauca, multiplex, sandyi, tashke, and morus) and consider how this structure might influence DsbE evolution through differential selective pressures and opportunities for horizontal gene transfer.
Integrating DsbE functional data with broader X. fastidiosa pathogenomics requires multidimensional approaches that connect molecular mechanisms to phenotypic outcomes:
Multi-omics integration strategies:
Correlate DsbE expression (transcriptomics) with protein abundance (proteomics)
Map post-translational modifications using phosphoproteomics and redox proteomics
Link metabolomic profiles to DsbE activity under various conditions
Integrate methylome data to examine epigenetic regulation of dsbE expression
Network analysis approaches:
Construct protein-protein interaction networks centered on DsbE
Develop gene co-expression networks to identify functionally related genes
Create metabolic models incorporating DsbE-dependent pathways
Apply Bayesian networks to infer causal relationships
Functional genomics validation:
Use transposon mutagenesis libraries to identify genetic interactions
Apply CRISPR interference for conditional knockdowns
Develop high-throughput phenotyping assays for DsbE-related functions
Create reporter strains for in planta visualization of DsbE activity
Data visualization and sharing:
Develop interactive visualizations connecting genotype to phenotype
Contribute standardized datasets to community databases
Adopt FAIR data principles (Findable, Accessible, Interoperable, Reusable)
Establish common ontologies for X. fastidiosa functional annotations
The high genomic diversity and recombination rates in X. fastidiosa make integration particularly challenging but also potentially revealing. Researchers should explicitly account for strain-specific differences when aggregating data and consider how DsbE function might vary across the different subspecies and their associated host ranges .
Several cutting-edge technologies show particular promise for elucidating DsbE function in X. fastidiosa:
CRISPR-Cas systems for precise genome editing:
Development of CRISPR-Cas9 or base editing systems optimized for X. fastidiosa
Creation of conditional knockdowns using CRISPRi
Domain-specific mutagenesis to map functional regions of DsbE
High-throughput variant screening through CRISPR libraries
Advanced imaging technologies:
Super-resolution microscopy to visualize DsbE localization at nanoscale
Single-molecule tracking to follow DsbE dynamics in living cells
Correlative light and electron microscopy for structural context
In planta imaging using minimally invasive techniques to track infection processes
Structural biology advances:
Cryo-electron microscopy for high-resolution structure determination
Hydrogen-deuterium exchange mass spectrometry to map dynamic regions
AlphaFold2 and other AI-based structure prediction tools
Time-resolved structural studies to capture conformational changes during catalysis
Single-cell technologies:
Single-cell RNA-seq to capture heterogeneity in bacterial populations
Spatial transcriptomics to map gene expression in biofilms
CyTOF mass cytometry for high-dimensional phenotypic profiling
Microfluidic systems for tracking individual bacterial cells during host interaction
Synthetic biology approaches:
Designer disulfide bond systems with tunable redox properties
Orthogonal translation systems for site-specific incorporation of non-canonical amino acids
Cell-free expression systems for rapid protein engineering
Biosensors that report on DsbE activity in real-time
These emerging technologies can help overcome the technical challenges associated with studying fastidious pathogens like X. fastidiosa and provide unprecedented insights into the molecular mechanisms of DsbE function in bacterial pathogenesis and host adaptation.
Despite advances in X. fastidiosa research, several critical knowledge gaps remain regarding DsbE's role in host specificity:
Substrate specificity across host environments:
Limited understanding of DsbE's natural substrates in different plant hosts
Unknown adaptation mechanisms of DsbE to various xylem chemical compositions
Unclear relationship between DsbE activity and host-specific virulence factors
Poor characterization of redox environments across plant host species
Evolutionary dynamics across X. fastidiosa subspecies:
Regulatory networks:
Minimal data on host-specific regulation of dsbE expression
Poor understanding of how plant defense responses affect DsbE function
Limited knowledge of signaling pathways connecting environmental sensing to DsbE activity
Unknown epigenetic mechanisms potentially regulating dsbE through DNA methylation
Methodological limitations:
Challenges in directly studying protein folding in planta
Difficulty isolating sufficient quantities of native DsbE from infected plants
Technical barriers to real-time monitoring of disulfide bond formation during infection
Lack of standardized assays for comparing DsbE function across strains
Addressing these knowledge gaps requires developing novel experimental approaches that can bridge molecular mechanisms with ecological outcomes, potentially revealing new strategies for controlling X. fastidiosa diseases across its extensive host range.
Understanding DsbE function could lead to innovative control strategies for X. fastidiosa diseases through several promising avenues:
Targeted inhibitor development:
Design of small-molecule inhibitors specifically targeting DsbE active site
Development of peptidomimetics that compete with natural substrates
Creation of transition state analogs that block catalytic activity
Identification of allosteric modulators affecting DsbE function
Host-induced gene silencing approaches:
Design of RNA interference constructs targeting dsbE expression
Development of transgenic plants expressing anti-dsbE constructs
Creation of spray-applied RNA molecules for temporary suppression
Exploitation of natural plant small RNAs that may regulate bacterial genes
Immune modulation strategies:
Engineering plant immune responses to recognize DsbE-dependent virulence factors
Development of decoy substrates that sequester DsbE activity
Priming of plant defense responses targeting bacterial protein folding
Selection of plant varieties with xylem chemistry unfavorable to DsbE function
Biocontrol approaches:
Engineering competitor microbes expressing DsbE inhibitors
Development of phage therapy targeting X. fastidiosa surface proteins dependent on DsbE
Creation of synthetic communities that modulate xylem redox environment
Design of protective endophytes competing for X. fastidiosa colonization sites
Diagnostic applications:
Development of DsbE-based markers for strain identification
Creation of biosensors detecting X. fastidiosa-specific disulfide bond patterns
Design of rapid field tests based on DsbE antibodies or aptamers
Implementation of early detection systems for pre-symptomatic infections
These approaches leverage fundamental knowledge of DsbE function to develop targeted, environmentally sustainable control strategies that could protect economically important crops from the devastating effects of X. fastidiosa diseases .
Researchers designing comprehensive studies of X. fastidiosa DsbE should consider a multifaceted approach that integrates evolutionary, structural, functional, and applied aspects. Key considerations include:
Evolutionary context:
Methodological robustness:
Employ multiple complementary approaches for each research question
Validate recombinant protein studies with in planta observations
Include appropriate controls for strain background effects
Standardize experimental conditions to allow cross-laboratory comparisons
Biological relevance:
Focus on environmentally realistic conditions mimicking xylem environments
Consider temperature, pH, and nutrient variations across host plants
Account for interactions with other microbial community members
Validate laboratory findings with field observations when possible
Translational potential:
Design experiments with potential applications in disease management
Consider how findings relate to agricultural practices
Assess potential for development of resistant plant varieties
Explore opportunities for diagnostic tool development