KEGG: pst:PSPTO_4158
STRING: 223283.PSPTO_4158
Ribonuclease T (rnt) in Pseudomonas syringae pv. tomato is an exoribonuclease that plays a critical role in RNA processing and degradation. It primarily functions in the maturation of various RNA species, including tRNA and rRNA. In pathogenic bacteria like P. syringae, RNA processing enzymes can affect gene expression patterns that influence virulence, host interaction, and environmental adaptation. The enzyme may be involved in post-transcriptional regulation during plant-pathogen interactions, potentially affecting the expression of virulence factors and the Type III Secretion System (T3SS) that delivers effector proteins into host cells . Methodologically, researchers can assess rnt function by creating knockout mutants and measuring changes in RNA processing, stability, and the bacterium's ability to cause disease symptoms in tomato plants.
To express and purify recombinant P. syringae pv. tomato Ribonuclease T, researchers typically follow this methodology:
Gene cloning: Amplify the rnt gene from P. syringae pv. tomato genomic DNA (strains like DC3000 are commonly used) using PCR with specific primers designed based on the annotated genome sequence.
Vector construction: Clone the amplified gene into an expression vector (such as pET series) with an appropriate affinity tag (His-tag, GST, etc.) for purification.
Expression system: Transform the construct into an E. coli expression strain (BL21(DE3) or similar).
Protein expression: Induce protein expression with IPTG at optimal conditions (typically 0.1-1.0 mM IPTG, 16-37°C, 4-16 hours).
Cell lysis: Harvest cells and lyse using sonication or pressure-based methods in a buffer containing:
50 mM Tris-HCl (pH 8.0)
300 mM NaCl
10% glycerol
1 mM DTT
Protease inhibitor cocktail
Purification: Use affinity chromatography followed by size exclusion chromatography to obtain pure protein.
Activity verification: Confirm enzymatic activity using RNA degradation assays with synthetic RNA substrates.
This methodology preserves the native structure and function of the enzyme for downstream applications in research settings.
Optimal buffer conditions for recombinant P. syringae pv. tomato Ribonuclease T activity assays typically include:
| Buffer Component | Optimal Range | Notes |
|---|---|---|
| Buffer type | 20-50 mM Tris-HCl or HEPES | pH 7.5-8.0 provides optimal stability |
| Divalent cations | 5-10 mM MgCl₂ | Essential cofactor for catalytic activity |
| Monovalent salt | 50-100 mM NaCl or KCl | Helps maintain protein stability |
| Reducing agent | 1-5 mM DTT or 0.5-2 mM β-mercaptoethanol | Prevents oxidation of cysteine residues |
| Temperature | 25-37°C | Enzyme shows optimal activity in this range |
| pH | 7.5-8.0 | Activity significantly decreases below pH 7.0 |
| RNA substrate | 0.1-1 μM | Synthetic or natural RNA substrates |
For methodological consistency, researchers should include positive controls with known ribonuclease activity and negative controls with heat-inactivated enzyme or in the presence of EDTA (which chelates the essential Mg²⁺ ions). RNA degradation can be monitored using gel electrophoresis, fluorescence-based assays with labeled substrates, or HPLC analysis of reaction products. It's important to note that the specific activity of the enzyme may vary depending on RNA substrate structure and sequence.
The activity of recombinant Ribonuclease T may differ between race 0 and race 1 strains of P. syringae pv. tomato due to potential sequence variations or post-translational modifications. Race 0 strains contain avirulence genes for expressing type III system-associated effectors AvrPto1 and AvrPtoB, while race 1 strains lack these genes . These genomic differences might extend to variations in RNA processing machinery.
Methodologically, researchers should:
Clone, express, and purify rnt from representative strains of both races (e.g., DC3000 for race 0 and T1 for race 1).
Compare enzyme kinetics using standardized RNA degradation assays with defined substrates:
Calculate and compare Km and Vmax values
Determine substrate preferences
Assess pH and temperature optima
Perform structural analyses using techniques such as:
X-ray crystallography or cryo-EM for structural comparison
Circular dichroism to detect secondary structure differences
Thermal shift assays to assess stability differences
Conduct gene replacement experiments where the rnt gene from a race 0 strain is replaced with that from a race 1 strain (and vice versa) to determine if differences in RNA processing contribute to virulence or host range.
Recent research suggests that genomic variations between races might influence pathogen adaptability and host interactions . While no direct studies have compared rnt specifically between races, the genetic differences observed in other functional systems suggest this is a potentially fruitful area of investigation.
Ribonuclease T likely plays an important role in regulating virulence factors and the Type III Secretion System (T3SS) of P. syringae pv. tomato through post-transcriptional regulation mechanisms. The T3SS is crucial for delivering effector proteins such as AvrPto1 and AvrPtoB into host cells .
Methodological approaches to investigate this relationship include:
Transcriptome analysis: Compare RNA-seq data between wild-type and rnt-knockout strains under virulence-inducing conditions. This could reveal differentially processed or stable transcripts related to virulence .
Targeted RNA stability assays: Measure the half-life of mRNAs encoding virulence factors and T3SS components in wild-type versus rnt-deficient strains.
Pulse-chase experiments: Track newly synthesized RNA to determine processing dynamics of virulence-related transcripts.
Virulence assays: Assess the ability of rnt-deficient mutants to:
Colonize plants
Elicit host defense responses
Deliver effector proteins
Cause disease symptoms
In planta RNA profiling: Isolate bacterial RNA from infected plant tissue to assess how rnt influences transcript profiles during actual infection.
The transcriptional regulatory network of P. syringae pv. tomato DC3000 is known to be complex, with multiple independently modulated gene sets (iModulons) active during host interactions . Given that mobile genetic elements play a role in race evolution , investigating how rnt regulation affects the stability of transcripts from horizontally acquired genomic regions could provide insights into pathogen adaptation.
Recombinant P. syringae pv. tomato Ribonuclease T can serve as a powerful tool for studying bacterial-plant immune interactions through several methodological approaches:
RNA target identification: Researchers can use purified recombinant rnt in conjunction with CLIP-seq (cross-linking immunoprecipitation sequencing) to identify which bacterial RNAs are processed during infection, potentially revealing regulatory networks that respond to plant defense.
Effector delivery system modification: The rnt gene can be engineered to fuse with reporter proteins and delivered via the bacterial T3SS to track protein translocation into plant cells, helping visualize the infection process.
Plant immune response assays:
Infiltrate purified recombinant rnt at various concentrations into plant leaves
Monitor for pattern-triggered immunity (PTI) responses such as ROS burst, callose deposition, and defense gene expression
Compare responses in wild-type plants versus immune-compromised mutants
Differential RNA processing in host cells: Analyze how plant RNA processing changes in response to bacterial infection, comparing wild-type P. syringae and rnt-deficient mutants. This could reveal whether bacterial RNases contribute to modulating host immune responses.
Construct chimeric ribonucleases by swapping domains between bacterial and plant RNases to study structure-function relationships and identify regions important for immune recognition.
Recent research indicates that the plant immune system can recognize patterns associated with bacterial gene expression and RNA processing machinery . Understanding how P. syringae rnt interacts with or evades these recognition systems could provide insights into the evolutionary arms race between plants and pathogens.
To methodically investigate structural differences between recombinant P. syringae pv. tomato Ribonuclease T and related bacterial ribonucleases, researchers should employ multiple structural biology approaches:
Primary structure analysis:
Perform multiple sequence alignments of rnt from P. syringae pv. tomato with homologs from other pathogens
Identify conserved catalytic residues and divergent regions
Calculate evolutionary distances to assess relatedness
Three-dimensional structure determination:
Use X-ray crystallography or cryo-EM to resolve structures
Compare with existing structures of related ribonucleases
Focus on active site architecture and substrate binding pockets
Molecular dynamics simulations:
Model protein flexibility and dynamics in solution
Identify potential allosteric sites
Simulate substrate binding and catalysis
Structure-function analysis through site-directed mutagenesis:
Create variants of recombinant rnt with mutations at key residues
Assess effects on catalytic efficiency and substrate specificity
Correlate structural features with functional differences
Comparative analysis might reveal that P. syringae pv. tomato rnt contains unique structural features that contribute to its specificity for certain RNA substrates or its stability during plant infection. Preliminary structural predictions suggest that while the catalytic core is likely conserved among bacterial ribonucleases, surface-exposed regions may show significant variation, potentially reflecting adaptation to different ecological niches or host immune systems.
Researchers frequently encounter several challenges when expressing recombinant P. syringae pv. tomato Ribonuclease T. Here are methodological solutions to address these issues:
| Challenge | Solution | Rationale |
|---|---|---|
| Inclusion body formation | Lower induction temperature (16-20°C) | Slows protein synthesis, allowing more time for proper folding |
| Use solubility-enhancing fusion tags (SUMO, MBP, TrxA) | These tags can increase solubility and proper folding | |
| Add 1-5% glycerol to growth medium | Stabilizes hydrophobic interactions, improving folding | |
| Low enzyme activity | Ensure proper metal ion content (Mg²⁺) | Ribonucleases typically require divalent cations for activity |
| Screen various buffer compositions | Identify optimal salt concentration and pH for activity | |
| Consider refolding from inclusion bodies | Sometimes yields more active protein than forcing soluble expression | |
| Proteolytic degradation | Include protease inhibitor cocktail | Prevents degradation during purification |
| Reduce expression time | Minimizes exposure to host proteases | |
| Try different E. coli strains (BL21, Rosetta) | Some strains have fewer proteases or better expression properties | |
| RNase contamination | Work in RNase-free conditions | Prevents contaminating RNases from affecting assays |
| Use RNasin or other RNase inhibitors | Specifically inhibits contaminating RNases but not Ribonuclease T | |
| Low yield | Optimize codon usage for E. coli | Improves translation efficiency |
| Test different media (LB, TB, auto-induction) | Richer media can improve protein yields | |
| Scale up cultivation volume | Compensates for lower per-cell yield |
If all these approaches fail, consider a cell-free expression system, which sometimes succeeds where in vivo systems struggle with difficult-to-express proteins.
To methodically investigate substrate specificity of recombinant P. syringae pv. tomato Ribonuclease T, researchers should implement a multi-faceted experimental design:
Substrate library preparation:
Design a diverse RNA substrate library varying in:
Length (10-100 nucleotides)
Secondary structure (linear, stem-loop, pseudoknot)
Sequence composition (varying GC content)
Terminal modifications (5' phosphate, 3' hydroxyl variations)
Include natural substrates like fragments of tRNA, rRNA, and mRNA
High-throughput activity screening:
Use fluorescence-based assays with differentially labeled substrates
Implement microarray-based approaches for parallel screening
Develop LC-MS methods to identify cleavage products
Kinetic parameter determination:
Measure Km, kcat, and kcat/Km for each substrate
Create a specificity index by normalizing to a reference substrate
Plot structure-activity relationships
Competition assays:
Perform reactions with multiple substrates simultaneously
Quantify preferential cleavage under competitive conditions
Develop mathematical models of substrate preference
Structural basis of specificity:
Use chemical crosslinking combined with mass spectrometry to identify substrate contact points
Conduct molecular docking studies with various substrates
Create enzyme variants with altered binding pockets to test specificity determinants
In vivo validation:
Express tagged substrates in P. syringae
Monitor their degradation in wild-type versus rnt-deficient strains
Correlate with in vitro specificity profiles
This methodical approach will provide comprehensive insights into the substrate preferences of recombinant P. syringae pv. tomato Ribonuclease T, potentially revealing roles in processing specific virulence-related transcripts during plant infection.
A comprehensive analytical workflow for assessing both purity and activity of recombinant P. syringae pv. tomato Ribonuclease T should include multiple complementary techniques:
| Technique | Parameters | Information Obtained |
|---|---|---|
| SDS-PAGE | 12-15% acrylamide gel, Coomassie or silver staining | Visual assessment of purity, molecular weight confirmation |
| Western Blot | Anti-His tag/Anti-rnt antibodies | Specific detection of target protein, verification of integrity |
| Size Exclusion Chromatography (SEC) | Superdex 75/200 column, flow rate 0.5 ml/min | Homogeneity assessment, detection of aggregates or oligomeric states |
| Mass Spectrometry | MALDI-TOF or ESI-MS | Exact mass determination, post-translational modifications identification |
| Dynamic Light Scattering (DLS) | Measurements at 25°C, 0.1-1 mg/ml protein | Particle size distribution, aggregation state |
| Analytical Ultracentrifugation | Sedimentation velocity analysis | Oligomeric state, shape parameters |
| Circular Dichroism | Far-UV (190-260 nm) spectrum | Secondary structure assessment, folding status |
| Technique | Parameters | Information Obtained |
|---|---|---|
| RNA Degradation Gel Assay | Various RNA substrates, PAGE with SYBR Green II | Qualitative assessment of RNase activity, substrate specificity |
| Fluorescence-based Assays | Fluorescent substrates (e.g., RNaseAlert) | Real-time monitoring of activity, kinetic parameters |
| FRET-based Assays | Dual-labeled RNA substrates | Precise measurement of cleavage rates |
| HPLC Analysis | Ion-exchange or reverse-phase | Quantitative analysis of cleavage products |
| Methylene Blue Assay | Monitoring absorbance decrease | Quantifies RNA degradation rate |
| Circular Dichroism | RNA substrate before and after enzyme addition | Structural changes in RNA upon enzyme action |
| Isothermal Titration Calorimetry | Binding of substrate analogs | Thermodynamic parameters of substrate binding |
For the most robust analysis, combine multiple techniques from both categories. For example, SEC-MALS (SEC coupled with multi-angle light scattering) provides information on both purity and quaternary structure, while activity assays with multiple substrate types reveal functional purity (absence of contaminating RNases with different specificities).
Recombinant P. syringae pv. tomato Ribonuclease T offers several methodological approaches to study bacterial adaptation during plant colonization:
Temporal expression analysis:
Monitor rnt expression levels at different stages of infection using qRT-PCR
Create transcriptional fusions (rnt promoter with reporter genes) to visualize expression patterns in planta
Compare expression between different plant tissues and microenvironments
Adaptation-specific RNA processing:
Use RNA-seq to identify differentially processed transcripts in wild-type versus rnt-deficient strains during plant colonization
Focus on transcripts involved in stress response, biofilm formation, and nutrient acquisition
Create a catalog of condition-specific RNA processing events
Post-infection fitness assessment:
Create competition assays between wild-type and rnt-deficient strains
Measure relative fitness under various plant defense responses
Quantify bacterial persistence under changing environmental conditions
RNA-based survival mechanisms:
Investigate how rnt contributes to ribosome quality control during stress
Assess RNA turnover rates under various plant-imposed stresses
Determine if rnt activity changes in response to plant antimicrobial compounds
Metabolic adaptation:
Use metabolomics to compare wild-type and rnt-deficient strains during infection
Identify metabolic pathways affected by altered RNA processing
Correlate with transcriptome data to build a comprehensive model
This research approach is particularly relevant given that the transcriptional regulatory network of P. syringae is now known to consist of at least 45 independently modulated gene sets (iModulons) that respond to diverse environmental conditions . Understanding how RNA processing contributes to this regulatory complexity could reveal new targets for disease control.
Methodological approach for comparing RNA processing activities between recombinant Ribonuclease T from P. syringae pv. tomato and other plant-associated Pseudomonas species:
Comparative enzyme characterization:
Express and purify recombinant Ribonuclease T from multiple Pseudomonas species including:
P. syringae pv. tomato (pathogenic)
P. fluorescens (beneficial/biocontrol)
P. putida (saprophytic/plant-growth promoting)
Compare enzymatic parameters (Km, kcat, pH optima, temperature stability)
Determine substrate preferences using standardized RNA libraries
Structural comparison:
Resolve crystal structures or create homology models
Identify variations in active site architecture
Map species-specific differences onto structural models
In vitro RNA processing comparison:
Test each enzyme against RNA substrates isolated from plants
Identify differentially processed transcripts using RNA-seq
Map cleavage sites using 5' RACE or similar techniques
Evolutionary analysis:
Perform phylogenetic analysis of rnt genes from different Pseudomonas species
Identify positively selected amino acid residues
Correlate with lifestyle differences (pathogenic vs. beneficial)
| Pseudomonas Species | Ribonuclease T Properties | Ecological Context |
|---|---|---|
| P. syringae pv. tomato | May preferentially process virulence-related transcripts | Pathogenic, causes bacterial speck disease |
| P. fluorescens | Likely processes transcripts related to biocontrol traits | Beneficial, provides plant protection |
| P. putida | May focus on processing transcripts for rhizosphere colonization | Plant growth-promoting, soil dwelling |
The contrasting lifestyles of these species likely exert different selective pressures on RNA processing machinery. While the catalytic core of Ribonuclease T is likely conserved, substrate preferences and regulatory mechanisms may have evolved to support their distinct ecological roles and host interactions .
Methodological approach to investigate recombinant P. syringae pv. tomato Ribonuclease T activity under simulated apoplast conditions:
Apoplast-mimicking buffer systems:
Prepare buffer systems that replicate key apoplast parameters:
pH 5.0-6.0 (more acidic than standard bacterial growth media)
Low nutrient availability (dilute carbon sources)
Plant defense molecules (salicylic acid, jasmonic acid)
Apoplastic ion concentrations (K⁺, Ca²⁺, Mg²⁺)
Presence of plant cell wall fragments
Activity profiling across conditions:
Measure enzymatic activity using standardized RNA substrates
Create activity heat maps across varying pH, ion concentrations, and plant defense molecule concentrations
Determine if enzyme kinetics change under apoplast-like conditions
Structural stability analysis:
Use thermal shift assays to measure protein stability under apoplast conditions
Perform circular dichroism to detect structural changes
Assess aggregation propensity using dynamic light scattering
RNA substrate accessibility changes:
Investigate whether apoplast conditions alter RNA substrate secondary structures
Determine if this impacts Ribonuclease T substrate recognition
Map cleavage sites under different conditions
Comparative activity in resistant vs. susceptible plant extracts:
Extract apoplast fluid from resistant and susceptible tomato varieties
Measure enzyme activity in these natural extracts
Identify plant factors that may inhibit or enhance activity
The apoplast is known to be the primary niche for P. syringae pv. tomato colonization and infection . Understanding how Ribonuclease T activity adapts to this environment is crucial, as the apoplast represents a stress condition that likely triggers significant bacterial transcriptional reprogramming. The enzyme's activity under these conditions may directly impact the bacterium's ability to process stress-response transcripts and virulence factors.
Methodological framework for developing inhibitors of P. syringae pv. tomato Ribonuclease T:
Structure-based inhibitor design:
Determine high-resolution crystal structure of recombinant rnt
Identify "druggable" pockets using computational algorithms
Design small molecules targeting the active site or allosteric regions
Utilize in silico screening of compound libraries followed by experimental validation
RNA-based inhibitor development:
Design RNA aptamers that bind specifically to rnt
Create modified RNA substrates that act as competitive inhibitors
Develop RNA mimics that bind irreversibly to the active site
Screening approaches:
Establish high-throughput fluorescence-based assays
Screen natural product libraries, focusing on plant-derived compounds
Test existing RNase inhibitors for cross-reactivity
Selectivity optimization:
Compare inhibitor activity against bacterial versus plant/mammalian RNases
Introduce chemical modifications to improve specificity
Focus on structural features unique to bacterial RNases
Delivery systems for in planta application:
Develop nanoparticle formulations for inhibitor delivery
Create plant-expressible RNA aptamers through transgenic approaches
Design inhibitors that can penetrate bacterial biofilms
Efficacy validation:
Test inhibitor efficacy in controlled plant infection assays
Monitor disease progression and bacterial populations
Assess potential phytotoxicity and environmental impact
This research direction is particularly promising given the recent finding that mobile DNA elements are involved in the evolution of different P. syringae pv. tomato races , suggesting that targeting RNA processing could disrupt adaptive mechanisms. Additionally, understanding the complex transcriptional regulatory network could help identify critical pathways dependent on proper RNA processing.
Methodological framework for applying CRISPR-Cas technology to study Ribonuclease T function in P. syringae pv. tomato:
Gene knockout and complementation:
Design sgRNAs targeting the rnt gene
Create precise knockout mutants using CRISPR-Cas9
Develop complementation strains expressing:
Wild-type rnt
Catalytically inactive mutants
Tagged versions for localization studies
Compare phenotypes during plant infection
CRISPRi for conditional knockdown:
Implement dCas9-based CRISPRi system in P. syringae
Design sgRNAs targeting rnt promoter or coding regions
Create inducible knockdown systems
Study effects of temporal rnt depletion at different infection stages
CRISPRa for overexpression studies:
Develop dCas9-activator fusions functional in P. syringae
Target rnt promoter regions to enhance expression
Assess consequences of rnt overexpression on virulence
Base editing for structure-function analysis:
Use CRISPR base editors to create specific amino acid substitutions
Target catalytic residues and substrate binding regions
Create libraries of variants to map functional domains
In planta tracking and visualization:
Create fusions of rnt with fluorescent proteins
Use CRISPR to integrate tags at the native locus
Track expression and localization during infection
Multi-omics integration:
Combine CRISPR modifications with:
RNA-seq to identify affected transcripts
Proteomics to detect changes in protein abundance
Metabolomics to identify downstream effects
Create comprehensive models of rnt function
This approach can provide insights into how RNA processing contributes to the complex transcriptional regulatory network that governs P. syringae responses during host interactions . By manipulating rnt in precise ways, researchers can determine its role in processes like Type III secretion, effector deployment, and adaptation to host defense responses .
Methodological framework for applying recombinant P. syringae pv. tomato Ribonuclease T in synthetic biology:
Engineered RNA processing systems:
Design synthetic RNA circuits with rnt-dependent processing
Create conditional RNA degradation systems for controlled gene expression
Develop RNA sensors that activate or deactivate in response to plant signals
Controlled virulence modulation:
Engineer strains with modified rnt activity that can:
Colonize plants without causing disease
Induce controlled defense responses
Self-limit population growth
Design temperature or light-responsive rnt variants
Biocontrol applications:
Create modified P. syringae strains with enhanced rnt activity to:
Target RNA from competing pathogens
Process signaling molecules that trigger plant immunity
Degrade pathogen-derived RNA virulence factors
RNA-based crop protection:
Develop spray-on RNA formulations that:
Are processed by pathogen rnt to release antimicrobial compounds
Function as molecular traps for bacterial RNA processing machinery
Sequester essential metal cofactors from pathogen RNases
Diagnostic applications:
Use recombinant rnt in biosensors to detect:
Pathogen-specific RNA sequences
Plant stress responses
Success of biocontrol applications
| Application Area | Synthetic Biology Approach | Potential Impact |
|---|---|---|
| Disease management | Engineered strains with modified rnt activity | Reduced crop losses with minimal environmental impact |
| Crop protection | RNA-based sprays processed by pathogen rnt | Targeted control without chemical residues |
| Plant immunity | Controlled defense induction via RNA processing | Enhanced disease resistance without yield penalties |
| Diagnostics | rnt-based biosensors | Early detection of infections and monitoring of interventions |
This synthetic biology approach builds on our understanding of how genomic variations in P. syringae pv. tomato influence pathogenicity and how complex transcriptional regulatory networks respond to environmental stimuli . By manipulating RNA processing, we can potentially reprogram plant-microbe interactions in beneficial ways.