Recombinant Ralstonia solanacearum Protein CrcB homolog (crcB)

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Product Specs

Form
Supplied as a lyophilized powder.

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Lead Time
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Notes
Avoid repeated freeze-thaw cycles. Store working aliquots at 4°C for up to one week.
Reconstitution
Centrifuge the vial briefly before opening to collect the contents. Reconstitute the protein in sterile, deionized water to a concentration of 0.1-1.0 mg/mL. We recommend adding 5-50% glycerol (final concentration) and aliquoting for long-term storage at -20°C/-80°C. Our standard glycerol concentration is 50% and can serve as a reference.
Shelf Life
Shelf life depends on storage conditions, buffer composition, temperature, and protein stability. Generally, liquid formulations have a 6-month shelf life at -20°C/-80°C, while lyophilized forms have a 12-month shelf life at -20°C/-80°C.
Storage Condition
Upon receipt, store at -20°C/-80°C. Aliquoting is recommended for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
The tag type is determined during the manufacturing process.

Tag type is determined during production. Please specify your required tag type for preferential development.

Synonyms
crcB; RSc1333; RS02855; Putative fluoride ion transporter CrcB
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-126
Protein Length
full length protein
Species
Ralstonia solanacearum (strain GMI1000) (Pseudomonas solanacearum)
Target Names
crcB
Target Protein Sequence
MSGMGFVAVGVGAALGAWLRWAFAVLWNAINPALPYGTLAANLLGGYLIGVAVGFFDTHA SLPPEWRLLAVTGFLGGLTTFSTFSSEVMANILAGDYAIGMLHVAAHLGGSLFLTMLGLW TVRTLG
Uniprot No.

Target Background

Function

Crucial in reducing intracellular fluoride concentration, thereby mitigating its toxicity.

Database Links

KEGG: rso:RSc1333

STRING: 267608.RSc1333

Protein Families
CrcB (TC 9.B.71) family
Subcellular Location
Cell inner membrane; Multi-pass membrane protein.

Q&A

What is Ralstonia solanacearum and why is it significant for research?

Ralstonia solanacearum is a plant pathogenic bacterium that has been extensively studied due to its significant impact on agriculture. It belongs to a species complex with diverse strains that exhibit varying degrees of virulence and host specificity. This bacterial species has become an important model organism for studying plant-microbe interactions, bacterial pathogenesis, and evolutionary biology .

The significance of R. solanacearum in research stems from several key aspects:

  • It causes bacterial wilt disease in many economically important crops worldwide

  • The species shows remarkable genetic diversity, making it an excellent model for studying bacterial evolution

  • Multiple complete genome sequences are available, facilitating comparative genomic studies

  • It has a complex regulatory network controlling virulence, providing insights into bacterial pathogenicity mechanisms

  • The species exhibits interesting recombination patterns that contribute to its genetic diversity and adaptability

Studies have shown that R. solanacearum has higher synonymous substitution rates (Ks) than nonsynonymous substitution rates (Ka) across various genes, indicating purifying selection pressure on its genome. For instance, the ratio varies from 3-4 times more synonymous substitutions in genes like egl and fliC to 30 times more in rplB, suggesting functional constraints on protein evolution .

What is the CrcB homolog in Ralstonia solanacearum and what function does it serve?

The CrcB homolog in Ralstonia solanacearum is a protein belonging to the CrcB family, which is found across various bacterial species. While specific information on R. solanacearum CrcB is limited in the available literature, CrcB proteins generally function as fluoride ion channels or transporters that help bacteria maintain ion homeostasis.

In bacterial systems, CrcB homologs typically serve as protective mechanisms against fluoride toxicity by exporting fluoride ions from the cell cytoplasm. This protein is characterized by:

  • Membrane localization with multiple transmembrane domains

  • Involvement in ion transport and homeostasis

  • Conservation across diverse bacterial species, suggesting fundamental cellular importance

  • Role in environmental adaptation and stress response

Understanding the function of CrcB homologs in R. solanacearum requires molecular genetic approaches similar to those used in characterizing other functional proteins in this bacterium, such as the UDP-sugar interconverting enzymes that have been better documented .

What expression systems are most suitable for recombinant production of Ralstonia solanacearum proteins?

Based on successful expression of other R. solanacearum proteins, the most suitable expression systems for recombinant production of R. solanacearum proteins, including potential CrcB homologs, involve prokaryotic expression hosts, particularly E. coli. The methodological approach can be adapted from successful protocols used for other R. solanacearum proteins, such as the UDP-4-keto-pentose/UDP-xylose synthase.

For optimal expression:

  • Select an appropriate E. coli strain (BL21(DE3) or its derivatives) that provides the necessary translational machinery and has reduced protease activity

  • Choose a vector system with an inducible promoter (like T7) for controlled expression

  • Consider fusion tags (His-tag, GST, etc.) to facilitate purification and potentially enhance solubility

  • Optimize codon usage for E. coli if necessary, as bacterial genes often have different codon biases

A successful approach documented for expressing R. solanacearum proteins involves:

  • PCR amplification of the target gene using high-fidelity proofreading polymerase

  • Cloning into an appropriate expression vector

  • Transformation into expression hosts

  • Induction of protein expression under optimized conditions

  • Purification using affinity chromatography based on fusion tags

For example, when expressing a UDP-4-keto-pentose/UDP-xylose synthase from R. solanacearum, researchers used a high-fidelity proofreading Platinum DNA polymerase with specific primers, followed by cloning and sequence verification before expression .

How does genetic diversity and recombination in Ralstonia solanacearum impact experimental design when working with recombinant proteins?

Genetic diversity and recombination in Ralstonia solanacearum significantly impact experimental design when working with recombinant proteins from this organism. The species complex shows substantial evidence of recombination, with phylogenetic reconstructions from different genes displaying incongruent topologies, suggesting gene exchange within or across genes .

When designing experiments with recombinant R. solanacearum proteins:

  • Strain selection is critical: Choose strains with well-characterized genomes and documented genetic stability

  • Sequence verification is essential: Always sequence your gene of interest from the specific strain you're working with, rather than relying solely on reference sequences

  • Consider evolutionary history: Analyze synonymous and nonsynonymous substitution rates to assess functional constraints on your protein of interest

  • Be aware of recombination hotspots: The pairwise homoplasy index test (Φw) has confirmed recombination in R. solanacearum gene sequences (P-value = 7.383 × 10^-15 for interspecies and P = 0.000 for intraspecies comparisons)

The detection of 21 individual recombination events in concatenated data sets of R. solanacearum genes indicates that genetic exchange is common in this species . This has practical implications:

ConsiderationImpact on Experimental Design
Sequence variabilityMultiple sequence alignments should be performed before primer design
Protein functionFunctional conservation should be verified across strains
Expression optimizationCodon usage might vary between strains, affecting expression efficiency
Structural analysisRecombination may affect protein domains, requiring careful structural prediction

Researchers should perform phylogenetic analyses on their gene of interest to ensure the sequence being used is representative and to understand potential functional variations across the species complex.

What are the challenges in purifying and maintaining stability of membrane proteins like CrcB homologs from Ralstonia solanacearum?

Purifying and maintaining stability of membrane proteins like CrcB homologs from Ralstonia solanacearum presents several significant challenges that require specialized approaches. As putative ion channels or transporters, CrcB homologs are likely integral membrane proteins with multiple transmembrane domains, making their isolation in a functional state particularly difficult.

Key challenges and corresponding methodological solutions include:

  • Solubilization from membranes:

    • Challenge: Extracting membrane proteins while maintaining their native conformation

    • Solution: Use mild detergents like n-dodecyl-β-D-maltoside (DDM), lauryl maltose neopentyl glycol (LMNG), or digitonin that effectively solubilize membranes without denaturing proteins

  • Protein aggregation:

    • Challenge: Membrane proteins often aggregate during purification

    • Solution: Include stabilizing agents like glycerol (10-20%) and specific lipids that mimic the native membrane environment

  • Maintaining functionality:

    • Challenge: Preserving the functional state of ion channels/transporters

    • Solution: Incorporate specific ions or substrates during purification; consider nanodiscs or liposome reconstitution to provide a lipid bilayer environment

  • Expression yield:

    • Challenge: Membrane proteins typically express at lower levels than soluble proteins

    • Solution: Optimize expression conditions (temperature, inducer concentration, duration); consider specialized expression hosts or cell-free systems

A typical purification workflow would involve:

  • Membrane fraction isolation by ultracentrifugation

  • Solubilization with selected detergent

  • Affinity chromatography (using engineered tags)

  • Size exclusion chromatography to remove aggregates

  • Functional verification using ion flux assays or electrophysiology

When analyzing membrane protein purity and stability, multiple complementary techniques should be employed, including SDS-PAGE, size exclusion chromatography, circular dichroism, and thermal shift assays to assess both structural integrity and functional state.

How can recombination analysis inform the structural and functional characterization of CrcB homologs?

Recombination analysis provides crucial insights for structural and functional characterization of proteins like CrcB homologs in Ralstonia solanacearum. The species complex demonstrates significant recombination events that shape gene evolution and protein function, as evidenced by analytical methods such as the pairwise homoplasy index test (Φw) and individual recombination detection using RDP3.44 .

When applying recombination analysis to inform CrcB characterization:

  • Identification of conserved domains:

    • Regions resistant to recombination often represent functionally critical domains

    • Analysis of synonymous vs. nonsynonymous substitutions (Ka/Ks ratio) can identify regions under strong purifying selection, suggesting functional importance

  • Detection of functionally diverse variants:

    • Recombination hotspots may indicate regions where functional diversity is tolerated or advantageous

    • Chimeric proteins resulting from recombination might exhibit altered substrate specificity or regulatory properties

  • Evolutionary adaptation insights:

    • Recombination patterns can reveal adaptation to different environmental conditions

    • This information guides the selection of experimental conditions for functional assays

Methodological approach for integrating recombination analysis with protein characterization:

  • Perform multiple sequence alignment of CrcB homologs from different R. solanacearum strains

  • Apply recombination detection methods (PHI test, RDP3, LDhat) to identify recombination events

  • Calculate population genetic parameters (Tajima's D, Fu and Li's tests) to assess selection pressures

  • Map recombination events and selection signatures onto predicted protein structure

  • Design targeted mutagenesis experiments based on recombination patterns

This integrated approach allows researchers to focus experimental efforts on regions of particular evolutionary or functional significance. For example, the standardized index of association calculated with LIAN v3.5 can quantify linkage disequilibrium, providing evidence for clonal versus recombining population structure , which informs expectations about structural conservation in CrcB homologs.

What PCR and cloning strategies are most effective for isolating the crcB gene from Ralstonia solanacearum?

Effective PCR and cloning strategies for isolating the crcB gene from Ralstonia solanacearum require careful planning and optimization, particularly considering the genetic diversity within this species complex. Based on successful approaches used for other R. solanacearum genes, the following methodological workflow is recommended:

  • Primer design considerations:

    • Design primers based on conserved regions flanking the crcB gene

    • Include appropriate restriction sites for subsequent cloning

    • Consider adding a 5' extension (3-6 nucleotides) before restriction sites to enhance enzyme cutting efficiency

    • Verify primer specificity against the R. solanacearum genome database

  • Optimized PCR protocol:

    • Use high-fidelity proofreading DNA polymerase (such as Platinum DNA polymerase or Phusion)

    • Employ a touchdown PCR protocol to enhance specificity

    • Include 2-5% DMSO or betaine to reduce secondary structure formation

    • Optimize magnesium concentration for maximum specificity and yield

A specific example from successful amplification of another R. solanacearum gene (UDP-4-keto-pentose/UDP-xylose synthase) employed:

  • 1 unit of high-fidelity proofreading Platinum DNA polymerase

  • 0.2 μM of each forward and reverse primer

  • Specific primers designed to capture the complete coding sequence

  • Cloning strategy:

    • Direct cloning into an expression vector containing a fusion tag (His, GST, etc.)

    • Alternatively, TOPO-TA cloning for initial capture followed by subcloning

    • Verification by sequencing before expression attempts

    • Consider codon optimization if expression will be in a heterologous host

  • Verification steps:

    • Colony PCR to identify positive transformants

    • Restriction digestion to confirm insert orientation

    • Complete sequencing of the cloned gene to ensure no mutations were introduced

    • Comparison with reference sequences to identify strain-specific variations

This approach should result in a verified clone of the crcB gene suitable for recombinant expression and subsequent characterization studies.

What experimental techniques are most suitable for assessing CrcB homolog function and ion transport activity?

Assessing CrcB homolog function and ion transport activity requires specialized techniques that address the protein's predicted role as an ion channel or transporter. Given that CrcB proteins are typically involved in fluoride ion transport, the following methodological approaches are most suitable:

  • In vivo functional complementation:

    • Express R. solanacearum CrcB in a crcB-deficient bacterial strain

    • Challenge with varying concentrations of fluoride or other ions

    • Measure growth rates to assess functional complementation

    • This approach can determine if the protein confers resistance to specific ions

  • Fluorescence-based ion flux assays:

    • Reconstitute purified CrcB into liposomes loaded with ion-sensitive fluorescent dyes

    • Monitor fluorescence changes upon addition of specific ions to the external medium

    • Calculate transport rates and ion selectivity

    • Compare with known ion transporters as positive controls

  • Electrophysiological characterization:

    • Incorporate CrcB into planar lipid bilayers or use patch-clamp techniques if expressed in mammalian cells

    • Record current measurements in response to voltage changes and ion gradients

    • Determine conductance, ion selectivity, and gating properties

    • Assess effects of potential inhibitors

  • Isotope flux measurements:

    • Use radioactive isotopes (e.g., ^18F for fluoride studies) to directly measure transport

    • Reconstitute CrcB in liposomes or express in whole cells

    • Measure accumulation or efflux of labeled ions over time

    • Calculate transport kinetics (Km and Vmax values)

TechniqueAdvantagesLimitationsKey Parameters
Functional complementationPhysiologically relevant, simple setupIndirect measurement, background transport systems may interfereGrowth rates, minimal inhibitory concentrations
Fluorescence-based assaysReal-time measurements, high sensitivityRequires protein reconstitution, potential dye interferenceInitial transport rates, fluorescence quenching percentages
ElectrophysiologyDirect measurement of transport, single-molecule resolutionTechnically challenging, requires specialized equipmentConductance (pS), open probability, reversal potentials
Isotope fluxDirect measurement, high specificityRequires radioactive materials, time-intensiveTransport rates (ions/sec/protein), accumulation ratios

The combination of these techniques provides complementary information about transport function, substrate specificity, and kinetic parameters, essential for comprehensive characterization of CrcB homolog function.

How should researchers optimize expression conditions for maximum yield of functional recombinant CrcB protein?

Optimizing expression conditions for maximum yield of functional recombinant CrcB protein requires systematic evaluation of multiple parameters, particularly considering the challenges associated with membrane protein expression. A methodical approach addressing expression host, vector design, induction parameters, and membrane integration is crucial for success.

  • Expression host selection and optimization:

    • Compare standard E. coli strains (BL21(DE3), C41(DE3), C43(DE3)) specifically designed for membrane protein expression

    • Consider Lactococcus lactis or Bacillus subtilis as alternative bacterial hosts

    • Evaluate eukaryotic systems (yeast, insect cells) for complex membrane proteins

    • Test multiple growth media formulations (LB, TB, minimal media with supplements)

  • Vector and construct design:

    • Include fusion partners known to enhance membrane protein expression (MBP, Mistic, SUMO)

    • Design constructs with varying N- and C-terminal regions to identify optimal protein boundaries

    • Incorporate cleavable purification tags (His, Strep) in positions that don't interfere with membrane insertion

    • Consider codon optimization based on the expression host

  • Induction and expression conditions:

    • Perform a temperature gradient experiment (15-37°C) to identify optimal expression temperature

    • Test various inducer concentrations (0.01-1 mM IPTG for T7-based systems)

    • Evaluate different induction times (3 hours to overnight)

    • Consider auto-induction media for gradual protein expression

A systematic optimization matrix should include:

ParameterVariables to TestAnalysis Method
Temperature37°C, 30°C, 25°C, 18°CWestern blot, activity assay
Inducer concentration0.01, 0.05, 0.1, 0.5, 1.0 mM IPTGSDS-PAGE, membrane fraction analysis
Induction time3h, 6h, 12h, 24hFunctional assay, yield quantification
MediaLB, TB, 2×YT, M9 with supplementsGrowth curves, expression yield
AdditivesGlycerol (5-10%), specific lipids, metal ionsProtein stability, functional tests
  • Membrane integration assessment:

    • Perform subcellular fractionation to confirm membrane localization

    • Use GFP-fusion constructs to monitor proper folding and membrane insertion

    • Verify functionality using transport assays as described in FAQ 3.2

    • Assess protein oligomerization state by crosslinking or native PAGE

The optimization process should be iterative, with conditions refined based on initial results. For example, successful expression of other R. solanacearum recombinant proteins has been achieved using carefully optimized protocols that could serve as starting points for CrcB expression .

How should researchers analyze sequence conservation and variation in CrcB homologs across Ralstonia strains?

A comprehensive methodological framework includes:

  • Multiple sequence alignment and conservation analysis:

    • Gather CrcB sequences from diverse Ralstonia strains and related species

    • Perform multiple sequence alignment using MUSCLE, MAFFT, or T-Coffee

    • Calculate conservation scores for each position using methods like Jensen-Shannon divergence

    • Identify absolutely conserved residues that likely play critical functional or structural roles

  • Selective pressure analysis:

    • Calculate synonymous (Ks) and nonsynonymous (Ka) substitution rates

    • Determine Ka/Ks ratios to identify regions under purifying selection (Ka/Ks < 1) or positive selection (Ka/Ks > 1)

    • Apply site-specific models (PAML, FUBAR) to detect individual amino acids under selection

    • Based on patterns observed in other R. solanacearum genes, expect Ka/Ks ratios potentially varying between 0.033-0.273 if similar to other characterized genes

  • Phylogenetic analysis integrating recombination detection:

    • Construct phylogenetic trees using maximum likelihood or Bayesian methods

    • Test for recombination using methods like the pairwise homoplasy index (PHI) test

    • Identify potential breakpoints and recombination events using RDP4 software

    • Compare gene trees with species trees to detect horizontal gene transfer events

The data analysis should address these key questions:

Analysis TargetMethodsExpected Outcomes
Core functional domainsMotif detection, hydropathy analysisIdentification of transmembrane regions and ion-binding sites
Strain-specific variationsSNP detection, haplotype analysisCorrelation with ecological niches or host specificity
Evolutionary historyPhylogenetic reconciliation, ancestral sequence reconstructionUnderstanding of gene acquisition and functional divergence
Recombination impactPHI test, standardized index of associationDetection of genetic exchange and its functional consequences

Based on studies of other R. solanacearum genes, molecular diversity indices and tests of mutation/drift equilibrium (Tajima's D and Fu and Li's D* and F*) should be calculated for comprehensive population genetic analysis . These analyses will reveal whether CrcB evolution follows patterns similar to other genes in this species complex.

What statistical approaches are appropriate for analyzing experimental data on CrcB function and activity?

  • Descriptive statistics and data visualization:

    • Calculate means, medians, standard deviations, and confidence intervals

    • Create box plots to visualize data distribution and identify outliers

    • Generate scatter plots with error bars for dose-response relationships

    • Use heat maps for multidimensional data (e.g., activity across different ions and conditions)

  • Hypothesis testing and comparative analysis:

    • Apply paired or unpaired t-tests for comparing two conditions (e.g., wild-type vs. mutant)

    • Use ANOVA with appropriate post-hoc tests (Tukey, Bonferroni) for multiple comparisons

    • Implement non-parametric alternatives (Mann-Whitney U, Kruskal-Wallis) if assumptions of normality are violated

    • Calculate effect sizes (Cohen's d, η²) to quantify the magnitude of differences

  • Kinetic data analysis:

    • Fit transport data to appropriate kinetic models (Michaelis-Menten, Hill equation)

    • Use non-linear regression to determine kinetic parameters (Km, Vmax, Hill coefficient)

    • Apply model selection criteria (AIC, BIC) to identify the best-fitting kinetic model

    • Implement bootstrap resampling to estimate parameter confidence intervals

  • Time-series analysis for transport studies:

    • Apply regression models for transport rates over time

    • Use area under the curve (AUC) analysis for cumulative transport data

    • Implement mixed-effects models to account for repeated measurements

    • Calculate initial rates from early time points and steady-state values from late time points

Statistical ApproachApplicationData RequirementsOutput Metrics
Two-way ANOVAComparing transport across different ions and pH conditionsNormally distributed data, multiple replicatesF-statistic, p-values, interaction effects
Michaelis-Menten kineticsIon concentration-dependent transport ratesTransport rates at ≥5 different concentrationsKm (μM), Vmax (ions/sec/protein)
Dose-response analysisInhibitor studiesActivity measurements at multiple inhibitor concentrationsIC50, Hill slope
Principal component analysisMulti-parameter functional characterizationMultiple functional measurements across variantsVariance explained, component loadings

When reporting statistical results, include:

  • The specific test used and why it was appropriate

  • Sample sizes and power calculations

  • Effect sizes alongside p-values

  • Clear graphical representation with appropriate error bars

How can molecular dynamics simulations complement experimental studies of CrcB homolog structure and function?

Molecular dynamics (MD) simulations provide powerful computational approaches that complement experimental studies of membrane proteins like CrcB homologs. These simulations offer atomic-level insights into protein dynamics, ion permeation mechanisms, and structural changes that may be challenging to capture experimentally.

  • Structural modeling and simulation preparation:

    • Generate homology models based on similar ion channel structures if CrcB crystal structure is unavailable

    • Embed the protein model in a lipid bilayer that mimics the bacterial membrane composition

    • Add explicit water molecules and ions at physiologically relevant concentrations

    • Perform energy minimization and equilibration before production simulations

  • Simulation types and their applications:

    • Equilibrium MD: Assess structural stability and conformational flexibility

    • Steered MD: Investigate ion permeation pathways by applying external forces

    • Umbrella sampling: Calculate free energy profiles for ion movement through the channel

    • Coarse-grained simulations: Explore longer timescale phenomena like protein-lipid interactions

  • Analysis of simulation outcomes:

    • Root mean square deviation (RMSD) and fluctuation (RMSF) to assess structural stability

    • Principal component analysis to identify major conformational modes

    • Electrostatic potential maps to visualize ion attracting/repelling regions

    • Hydrogen bond analysis to identify key stabilizing interactions

  • Integration with experimental data:

    • Validate simulation findings against experimental measurements (ion selectivity, conductance)

    • Guide mutagenesis studies by identifying functionally important residues

    • Interpret experimental results in the context of atomic-level mechanisms

    • Iteratively refine models based on experimental feedback

Simulation ApproachInformation GainedComputational RequirementsTimescale Accessible
All-atom MDDetailed atomic interactions, specific binding sitesHigh (GPU clusters recommended)Nanoseconds to microseconds
Coarse-grained MDLipid-protein interactions, large-scale conformational changesModerateMicroseconds to milliseconds
Brownian dynamicsIon permeation rates, conductance estimatesLow to moderateMilliseconds and beyond
QM/MM hybridElectronic properties of ion coordination sitesVery highPicoseconds

MD simulations can specifically address questions about CrcB function that are difficult to resolve experimentally:

  • The precise coordination geometry of ions within the channel

  • The energetic barriers to ion permeation and rate-limiting steps

  • The molecular basis of ion selectivity (fluoride vs. other anions)

  • Conformational changes associated with gating or regulation

This computational approach, when combined with experimental validation, creates a powerful framework for understanding membrane protein function at multiple scales, from atomic interactions to macroscopic transport properties.

What are the current research gaps and future directions in studying recombinant Ralstonia solanacearum CrcB homologs?

Current research on Ralstonia solanacearum CrcB homologs presents several significant knowledge gaps that offer promising directions for future investigation. These gaps span from fundamental understanding of protein structure to potential applications in agricultural contexts.

  • Structural characterization:

    • Limited high-resolution structural data on bacterial CrcB proteins

    • Need for crystal structures or cryo-EM analysis of R. solanacearum CrcB

    • Incomplete understanding of the molecular basis for ion selectivity

    • Uncertainty about oligomerization state and subunit interactions

  • Functional diversity across the species complex:

    • Incomplete characterization of CrcB variants across R. solanacearum strains

    • Limited understanding of how recombination events have shaped CrcB evolution

    • Unclear relationship between genetic diversity and functional properties

    • Need for comparative studies across multiple strains with varying host specificities

  • Physiological significance:

    • Unknown role in R. solanacearum virulence and plant-microbe interactions

    • Limited understanding of regulation under different environmental conditions

    • Unclear integration with other ion homeostasis systems

    • Potential involvement in stress responses beyond fluoride resistance

Future research directions should address these gaps through integrated approaches:

  • Systematic structural biology efforts including X-ray crystallography and cryo-EM

  • Comparative functional genomics across diverse R. solanacearum strains

  • In planta studies to determine relevance to pathogenesis

  • Systems biology approaches to integrate CrcB function with global cellular processes

These investigations would provide crucial insights into both fundamental bacterial physiology and potential applications in agricultural disease management by targeting critical bacterial survival mechanisms.

How can findings from CrcB homolog studies contribute to broader understanding of Ralstonia solanacearum biology and pathogenicity?

Findings from CrcB homolog studies have significant potential to enhance our broader understanding of Ralstonia solanacearum biology and pathogenicity. As ion homeostasis plays crucial roles in bacterial adaptation and survival, characterizing CrcB function can illuminate multiple aspects of this important plant pathogen's biology.

  • Environmental adaptation mechanisms:

    • CrcB characterization provides insights into how R. solanacearum adapts to various soil conditions

    • Understanding ion homeostasis contributes to knowledge about survival in different agricultural environments

    • Findings may explain strain distribution patterns and niche adaptation

    • Ion transport systems may be linked to persistence under stressful conditions

  • Evolution and diversity within the species complex:

    • CrcB studies complement existing knowledge about recombination and gene flow in R. solanacearum

    • Patterns of selection on CrcB can be compared with virulence factors

    • Analysis of synonymous and nonsynonymous substitution rates in CrcB can be integrated with broader population genetic studies

    • Comparison with data showing Ka/Ks ratios ranging from 0.033-0.273 in other genes provides context for evolutionary pressures

  • Pathogen-host interactions:

    • Ion channel function may relate to adaptation to plant defense mechanisms

    • CrcB activity could influence bacterial fitness during infection processes

    • Ion homeostasis likely affects expression of virulence genes and regulatory networks

    • Potential connection to quorum sensing and biofilm formation during pathogenesis

  • Integrated understanding of bacterial physiology:

    • CrcB function connects to cellular energetics and membrane potential

    • Interaction with other transport systems creates a comprehensive view of cellular homeostasis

    • Links between ion transport and metabolic pathways illuminate bacterial physiology

    • Integration with existing knowledge about R. solanacearum stress responses

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