Recombinant Bacillus subtilis UPF0702 transmembrane protein ykjA (ykjA)

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Product Specs

Form
Lyophilized powder.
Note: While we prioritize shipping the format currently in stock, please specify your format preference during order placement for customized fulfillment.
Lead Time
Delivery times vary depending on the purchasing method and location. Please consult your local distributor for precise delivery estimates.
Note: All proteins are shipped with standard blue ice packs. Dry ice shipping requires advance notification and incurs additional charges.
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 consolidate the contents. Reconstitute the protein in sterile, deionized water to a concentration of 0.1-1.0 mg/mL. For long-term storage, we recommend adding 5-50% glycerol (final concentration) and aliquoting at -20°C/-80°C. Our standard glycerol concentration is 50%, and may serve as a guideline for your preparations.
Shelf Life
Shelf life depends on various factors, including storage conditions, buffer composition, temperature, and protein stability. Generally, liquid forms 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 essential for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
Tag type is determined during the manufacturing process.
The tag type is determined during production. If you require a specific tag, please inform us; we will prioritize development of the specified tag.
Synonyms
ykjA; BSU13060; UPF0702 transmembrane protein YkjA; ORF3
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-243
Protein Length
full length protein
Species
Bacillus subtilis (strain 168)
Target Names
ykjA
Target Protein Sequence
MLWMVWVFLLKPVIVFSIAYILFRLAGKKAVSQMNNFDLLLTFAIGTIISEPILTSKLPM SIYYAGAFLVLYLIMSKLSLSNKWRWLLVVSPTVLIRNGDIDERGLRKERLTVNELLGKL REKGYADPADIDLAIIEETGEVSVIPKEEARAVQVRDLNMEAERNFIPIPLILDGEILDH NLKYLQKNRSWLFEKLEEKGYSPKLLSSIILGTMNARGDISLDLNTANEPQHDPYLYKPG NNN
Uniprot No.

Target Background

Database Links
Protein Families
UPF0702 family
Subcellular Location
Cell membrane; Multi-pass membrane protein.

Q&A

What is the ykjA protein in Bacillus subtilis?

The ykjA protein is an uncharacterized transmembrane protein belonging to the UPF0702 protein family in Bacillus subtilis. It is classified as a transmembrane protein, suggesting it spans the bacterial cell membrane and may play a role in cellular processes that involve interaction with the external environment. The protein is part of the extensive proteome of B. subtilis, which is a well-studied, genetically tractable endospore-forming bacterium commonly found in soil and plant-associated environments . Characterization approaches typically include bioinformatic analysis of sequence homology with known proteins, prediction of transmembrane domains, and experimental verification through techniques such as membrane protein isolation and Western blot analysis.

Why is Bacillus subtilis an important model organism for studying transmembrane proteins?

Bacillus subtilis serves as an excellent model organism for studying transmembrane proteins due to several key advantages:

  • Genetic tractability: B. subtilis is highly amenable to genetic manipulation, with well-established techniques for gene knockout, complementation, and protein expression .

  • Complete genome sequence: The fully sequenced genome enables comprehensive bioinformatic analysis and prediction of transmembrane protein structure and function .

  • Ecological relevance: As a soil-dwelling bacterium that associates with plant roots, B. subtilis must adapt to diverse environments, making its membrane proteins particularly interesting for studying environmental adaptation .

  • Laboratory cultivation ease: B. subtilis grows rapidly in laboratory conditions, allowing for efficient experimental procedures including protein expression and purification .

Methodologically, researchers can leverage these advantages through approaches such as expression of recombinant proteins with affinity tags, followed by purification and structural analysis, or through in vivo functional studies using fluorescent protein fusions to track localization patterns during different growth phases and environmental conditions.

How can recombinant ykjA protein be produced for experimental studies?

Production of recombinant ykjA protein for experimental studies typically follows these methodological steps:

  • Gene cloning: The ykjA gene is amplified from B. subtilis genomic DNA using PCR with specific primers containing appropriate restriction sites for subsequent cloning into expression vectors .

  • Expression system selection: For transmembrane proteins like ykjA, specialized expression systems may be needed. E. coli strains optimized for membrane protein expression (such as C41/C43) or cell-free systems are commonly employed .

  • Fusion tag incorporation: Addition of affinity tags (His6, FLAG, etc.) facilitates purification, while fusion partners (MBP, SUMO, etc.) can enhance solubility and proper folding .

  • Expression optimization: Parameters including temperature, inducer concentration, and expression duration must be systematically optimized to maximize protein yield while maintaining proper folding .

  • Detergent-based extraction: Appropriate detergents (e.g., DDM, LDAO) must be selected to solubilize the protein from membranes while preserving native structure.

  • Purification: Typically involves immobilized metal affinity chromatography (IMAC) followed by size exclusion chromatography (SEC) to obtain pure protein .

For enhanced stability during functional studies, reconstitution into proteoliposomes or nanodiscs may be necessary to maintain the protein in a membrane-like environment.

How might ykjA protein function in B. subtilis biofilm formation and host interactions?

Based on current understanding of B. subtilis environmental adaptation, the ykjA transmembrane protein might contribute to biofilm formation and host interactions through several potential mechanisms:

  • Signaling pathway integration: As a transmembrane protein, ykjA could function as a sensor or signal transducer that detects environmental cues and triggers appropriate cellular responses, potentially interacting with the complex regulatory network that governs biofilm formation involving Rap-Phr cell-cell signaling systems .

  • Matrix component export: The protein might participate in the secretion or anchoring of extracellular matrix components essential for biofilm structure and integrity, similar to other membrane proteins involved in exopolysaccharide transport.

  • Root attachment mediation: ykjA could potentially facilitate adhesion to plant root surfaces, contributing to the colonization capabilities observed in experimental evolution studies of B. subtilis on Arabidopsis thaliana roots .

  • Stress response coordination: The protein might help coordinate cellular responses to environmental stresses encountered during host colonization, potentially contributing to the adaptation processes observed in evolution experiments .

To investigate these hypotheses, researchers should employ techniques such as:

  • Construction of ykjA deletion mutants to assess biofilm phenotypes

  • Fluorescent protein fusions to visualize localization during biofilm formation and root colonization

  • Co-immunoprecipitation studies to identify interaction partners

  • Transcriptomic analysis to determine effects on gene expression networks governing biofilm formation

What role might ykjA play in the experimental evolution of B. subtilis adapting to diverse environments?

The ykjA transmembrane protein could potentially be significant in B. subtilis adaptation to diverse environments, as highlighted by experimental evolution studies. Research methodologies to investigate this question would include:

  • Comparative genomic analysis: Sequencing evolved B. subtilis strains from different environmental selection pressures to identify mutations in or affecting ykjA expression .

  • Transcriptional profiling: Using RNA-seq to compare ykjA expression levels between ancestral and adapted strains under different environmental conditions .

  • Competitive fitness assays: Constructing ykjA deletion mutants and testing their ability to compete with wild-type strains in environments such as:

    • Low atmospheric pressure environments

    • High UV radiation conditions

    • Plant root colonization scenarios

    • Unfavorable growth temperatures

  • Phenotypic characterization: Assessing differences in biofilm formation, sporulation efficiency, and motility between wild-type and ykjA mutants in relation to environmental adaptation .

Recent experimental evolution studies with B. subtilis have shown that adaptation to plant roots involves changes in biofilm robustness and motility, often with mutations in regulatory genes like sinR . If ykjA interacts with these regulatory networks, it might contribute to the fine-tuning of these traits during adaptation to specific environmental niches.

How might ykjA interact with Rap-Phr cell-cell signaling systems in B. subtilis ecological adaptation?

The interaction between ykjA and Rap-Phr cell-cell signaling systems represents an intriguing research question, given the importance of these systems in B. subtilis ecological adaptation. Methodological approaches to investigate this question include:

  • Epistasis analysis: Creating double mutants of ykjA with various rap-phr system components to determine genetic interactions by examining phenotypes related to:

    • Biofilm formation

    • Sporulation timing

    • Root colonization efficiency

  • Protein-protein interaction studies: Employing techniques such as:

    • Bacterial two-hybrid assays

    • Co-immunoprecipitation followed by mass spectrometry

    • FRET/BRET analysis with fluorescently tagged proteins

    • Surface plasmon resonance for direct binding assays

  • Signaling pathway reconstitution: In vitro reconstruction of signaling components to determine if ykjA directly affects Rap phosphatase activity or Phr peptide sensing.

  • Competition experiments: Using the high-throughput barcode sequencing approach described in the research to assess competitive fitness of ykjA mutants alongside rap-phr mutants in various environments .

Research has demonstrated that variability in Rap-Phr systems fine-tunes B. subtilis competitive ability in different sporulation-requiring environments and affects root colonization of Arabidopsis thaliana . Understanding whether ykjA interfaces with these systems could provide insight into the molecular mechanisms underlying ecological adaptation.

What are optimal methods for studying ykjA localization and dynamics in B. subtilis cells?

To effectively study ykjA localization and dynamics in B. subtilis cells, researchers should consider these methodological approaches:

  • Fluorescent protein fusion constructs:

    • C-terminal vs. N-terminal fusions must be carefully evaluated for transmembrane proteins

    • Smaller fluorescent proteins (msfGFP, mCherry) minimize interference with function

    • Integration at native locus under native promoter provides physiologically relevant expression

    • Time-lapse microscopy enables tracking of dynamic localization patterns during:

      • Different growth phases

      • Biofilm formation

      • Sporulation

      • Root colonization

  • Super-resolution microscopy techniques:

    • PALM/STORM for single-molecule localization with 20-30nm resolution

    • Structured illumination microscopy (SIM) for 100nm resolution

    • Provides detailed subcellular localization patterns relative to other cellular structures

  • Immunogold electron microscopy:

    • Offers nanometer-scale resolution for precise membrane localization

    • Can determine which membrane face (inside/outside) the protein domains orient toward

    • Works with fixed samples, complementing live-cell imaging approaches

  • FRAP (Fluorescence Recovery After Photobleaching):

    • Assess protein mobility within the membrane

    • Determine if ykjA forms stable complexes or clusters

    • Compare dynamics under different environmental conditions relevant to ecological adaptation

  • Single-molecule tracking:

    • Using photoactivatable fluorophores to track individual ykjA molecules

    • Reveals diffusion coefficients and potential membrane domain localization

    • Can identify changes in mobility upon environmental stimulation

Each technique offers complementary information, and combining approaches provides comprehensive understanding of ykjA spatial and temporal dynamics in relation to its function.

How can protein-protein interaction networks involving ykjA be comprehensively mapped?

Mapping protein-protein interaction networks involving the ykjA transmembrane protein requires specialized approaches tailored to membrane proteins. A comprehensive methodology would include:

  • Proximity-based labeling approaches:

    • BioID or APEX2 fused to ykjA to biotinylate nearby proteins

    • TurboID for faster labeling kinetics in bacterial systems

    • Streptavidin pulldown followed by mass spectrometry identifies proximal proteins

    • Particularly valuable for transmembrane proteins where traditional methods often fail

  • Cross-linking mass spectrometry (XL-MS):

    • Chemical crosslinkers capture transient interactions

    • MS/MS analysis identifies crosslinked peptides

    • Specialized crosslinkers with different spacer lengths probe spatial relationships

    • Data analysis requires dedicated computational pipelines for crosslink identification

  • Bacterial two-hybrid screening:

    • Modified for membrane proteins using split-ubiquitin or BACTH systems

    • Screening against genomic libraries identifies novel interaction partners

    • Confirmation with targeted pairwise tests validates interactions

  • Co-evolution analysis:

    • Computational identification of residues that co-evolve across species

    • Predicts interaction interfaces and functional relationships

    • Generates testable hypotheses for experimental validation

  • Integrated analysis workflow:

TechniqueAdvantagesLimitationsData Output
BioID/APEX2Works with transmembrane proteins; captures weak/transient interactionsProximity ≠ direct interaction; requires expression of fusion proteinList of proximal proteins with MS confidence scores
XL-MSProvides spatial constraints; captures direct interactionsComplex data analysis; some interactions may be missedCrosslinked residue pairs with distance constraints
Bacterial two-hybridTests direct interactions; high-throughput screening possibleFalse positives/negatives; artificial expression systemBinary interaction data (yes/no)
Co-evolution analysisNo experimental manipulation needed; predicts functional relationshipsRequires sufficient sequence diversity; indirect evidenceResidue pairs with co-evolution scores

The resulting interaction network should be visualized using tools like Cytoscape and validated through orthogonal approaches such as co-immunoprecipitation or genetic epistasis analysis.

What technical challenges must be overcome when performing structural analysis of ykjA?

Structural analysis of transmembrane proteins like ykjA presents several technical challenges that require specialized methodological approaches:

  • Expression and purification obstacles:

    • Low natural expression levels necessitate optimization of heterologous expression

    • Detergent selection critically affects protein stability and native conformation

    • Purification must maintain the delicate balance between sufficient purity and functional integrity

    • Screening multiple constructs with varying terminal truncations often necessary

  • Crystallization barriers:

    • Transmembrane proteins frequently resist crystallization due to:

      • Flexible loop regions

      • Hydrophobic surfaces

      • Conformational heterogeneity

    • Antibody fragments or nanobodies can stabilize specific conformations

    • Lipidic cubic phase (LCP) crystallization methods often more successful than vapor diffusion

    • Crystal optimization typically requires extensive screening (>1000 conditions)

  • NMR spectroscopy considerations:

    • Size limitations for traditional solution NMR

    • Solid-state NMR requires specialized sample preparation and equipment

    • Selective isotopic labeling strategies can overcome spectral complexity

    • Detergent micelles affect tumbling rates and spectrum quality

  • Cryo-EM advantages and challenges:

    • No crystallization required

    • Small size of ykjA (~30-40 kDa) falls below traditional cryo-EM size thresholds

    • Approaches to overcome size limitations:

      • Antibody fragment complexes

      • Scaffold proteins

      • Advanced image processing algorithms

  • Computational prediction approaches:

    • AlphaFold2 and RoseTTAFold now provide reliable predictions for many proteins

    • Transmembrane regions still challenging for some prediction algorithms

    • Molecular dynamics simulations in explicit membrane environments provide dynamic information

    • Integrative modeling combining low-resolution experimental data with computational predictions

Successful structural analysis will likely require combining multiple approaches and potentially engineering the protein (thermostabilizing mutations, fusion partners, etc.) to overcome these inherent challenges.

How should researchers analyze transcriptomic data to understand ykjA's role in environmental adaptation?

Analysis of transcriptomic data to elucidate ykjA's role in environmental adaptation requires a structured methodological framework:

  • Experimental design considerations:

    • Compare wild-type vs. ykjA deletion/overexpression strains

    • Include multiple environmental conditions relevant to B. subtilis ecology

    • Time-course sampling captures dynamic expression changes

    • Include biological replicates (minimum n=3) for statistical power

  • Differential expression analysis workflow:

    • Quality control: FastQC for read quality assessment

    • Read mapping: HISAT2 or STAR aligner to B. subtilis reference genome

    • Count generation: featureCounts or HTSeq-count

    • Normalization: DESeq2 or edgeR with appropriate dispersion estimation

    • Statistical testing with multiple testing correction (FDR < 0.05)

  • Contextual analysis approaches:

    • Gene Ontology (GO) enrichment analysis identifies functional categories affected

    • KEGG pathway mapping reveals metabolic and signaling pathways impacted

    • Regulon analysis identifies transcription factors with altered activity

    • Comparison with published datasets on Rap-Phr system mutations and environmental adaptation

  • Network analysis:

    • Weighted gene co-expression network analysis (WGCNA) identifies gene modules

    • Transcription factor binding site analysis predicts regulatory relationships

    • Integration with ChIP-seq data if available for key transcription factors

    • Comparison of network perturbations across different environmental conditions

  • Validation framework:

    • RT-qPCR confirmation of key differentially expressed genes

    • Promoter-reporter fusions to verify expression patterns

    • Epistasis analysis with identified regulators

    • Phenotypic assays corresponding to affected pathways

This comprehensive approach allows researchers to move beyond simple gene lists to understand the regulatory networks and biological processes affected by ykjA in different environments, particularly in relation to processes like biofilm formation and plant root colonization that have been shown to be important in B. subtilis adaptation .

What experimental controls are essential when studying ykjA mutants in biofilm formation and root colonization?

  • Genetic complementation controls:

    • Clean deletion mutant (unmarked, without antibiotic resistance markers that could affect fitness)

    • Complemented strain (ykjA gene reintroduced at native locus or at neutral site)

    • Complementation under native promoter to preserve physiological expression levels

    • Empty vector control for plasmid-based complementation

  • Growth condition controls:

    • Growth curves in liquid media to identify potential baseline growth defects

    • Biofilm formation in standard laboratory media (MSgg, LBGM) before testing complex environments

    • Assessment under varying nutrient concentrations to identify condition-specific phenotypes

    • Temperature series to determine if phenotypes are temperature-dependent

  • Root colonization experimental controls:

    • Surface-sterilized seeds verified for absence of microbial contaminants

    • Plant growth in sterile conditions before bacterial inoculation

    • Multiple plant species to distinguish plant-specific from general colonization effects

    • Co-inoculation competition assays with wild-type (differentially marked)

    • Root exudate-only experiments to separate chemical from physical plant effects

  • Microscopy and quantification controls:

    • Standardized imaging parameters across all samples

    • Blind scoring/quantification to prevent observer bias

    • Internal calibration standards for fluorescence quantification

    • Multiple biological and technical replicates with appropriate statistical analysis

  • Control table for biofilm and root colonization experiments:

Control TypePurposeImplementationExpected Outcome
GeneticConfirm phenotype due to ykjA deletionComplemented strainRestoration of wild-type phenotype
Media compositionIdentify environment-specific effectsVarying carbon/nitrogen sourcesDifferent phenotype magnitudes based on nutrients
TemporalCapture developmental dynamicsTime-course samplingProgressive changes in colonization/biofilm structure
Strain backgroundControl for strain-specific effectsTest mutation in multiple B. subtilis strainsConsistent directional effect despite baseline differences
Community contextAssess ecological relevanceSingle strain vs. competitive colonizationPotentially different outcomes in competition

Implementing these controls ensures that observed phenotypes are specifically attributable to ykjA function rather than experimental artifacts or secondary effects.

How can researchers differentiate direct versus indirect effects of ykjA on cellular physiology?

Differentiating direct versus indirect effects of ykjA on cellular physiology requires a multi-layered experimental approach:

  • Temporal resolution studies:

    • Time-resolved transcriptomics/proteomics after inducible expression of ykjA

    • Early response genes (minutes to hours) more likely represent direct effects

    • Later responses (hours to days) often reflect indirect/adaptive changes

    • Mathematical modeling of expression kinetics can help distinguish primary from secondary effects

  • Conditional depletion/induction systems:

    • Tetracycline-inducible or CRISPR interference (CRISPRi) for controlled ykjA expression

    • Rapid protein degradation systems (e.g., AID or degron tags)

    • Measure immediate physiological responses after protein level changes

    • Compare acute versus chronic depletion phenotypes

  • Biochemical interaction verification:

    • In vitro reconstitution of potential direct interactions

    • Surface plasmon resonance (SPR) or microscale thermophoresis (MST) for binding kinetics

    • Enzymatic assays if ykjA has predicted catalytic activity

    • Structural studies of protein complexes to confirm physical interactions

  • Genetic epistasis analysis:

    • Double mutant construction with genes in potential pathways

    • Suppressor mutant screening to identify genes that can bypass ykjA function

    • Overexpression studies to identify genes that can compensate for ykjA loss

    • Analysis framework for interpreting genetic interactions:

Interaction TypeInterpretationExample Phenotypic Pattern
SuppressionSecond mutation rescues ykjA phenotypeykjA⁻: Defective; Gene X⁻: Minor effect; Double mutant: Near wild-type
SyntheticMutations combine to give stronger effectykjA⁻: Moderate effect; Gene Y⁻: Moderate effect; Double mutant: Severe effect
EpistasisOne gene masks effect of the otherykjA⁻: Altered phenotype; Gene Z⁻: Altered phenotype; Double mutant: Same as Gene Z⁻
  • Comparative analysis across growth conditions:

    • Test multiple environmental variables (temperature, osmolarity, nutrient limitation)

    • Direct effects of ykjA typically persist across conditions

    • Indirect effects often show environment-specific patterns

    • Integration with data from experimental evolution studies to identify conditions where ykjA function becomes critical

Through this systematic approach, researchers can build a causality network distinguishing primary molecular targets from downstream physiological adaptations, particularly important when studying transmembrane proteins that may function as environmental sensors or signal transducers.

What emerging technologies hold promise for advancing understanding of ykjA function?

Several cutting-edge technologies show significant potential for elucidating the function of transmembrane proteins like ykjA in B. subtilis:

  • Advanced imaging technologies:

    • Cryo-electron tomography for visualizing protein complexes in their native cellular context

    • Super-resolution microscopy with improved spatial (10-20nm) and temporal resolution

    • Correlative light and electron microscopy (CLEM) linking dynamic processes to ultrastructural details

    • 3D single-molecule tracking to visualize protein dynamics throughout the cell volume

  • Genome editing advances:

    • CRISPR base editing for precise single nucleotide modifications without double-strand breaks

    • Prime editing for targeted insertions and deletions with minimal off-target effects

    • Multiplexed genome engineering to systematically test combinations of mutations

    • Cell-free CRISPR screens for high-throughput functional analysis

  • Structural biology innovations:

    • Microcrystal electron diffraction (MicroED) for structural determination from nanocrystals

    • Integrative structural biology combining multiple low-resolution data sources

    • AI-powered structure prediction tools (AlphaFold2) combined with experimental validation

    • Time-resolved structural methods to capture conformational changes

  • Systems biology approaches:

    • Multi-omics integration (transcriptomics, proteomics, metabolomics, fluxomics)

    • High-throughput phenotyping using microfluidics and automated image analysis

    • Machine learning for pattern recognition in complex datasets

    • Whole-cell modeling incorporating transmembrane protein dynamics

  • Synthetic biology tools:

    • De novo design of transmembrane signaling systems to test hypotheses about ykjA function

    • Optogenetic control of ykjA activity for precise spatiotemporal manipulation

    • Cell-free expression systems optimized for membrane protein studies

    • Minimal cell platforms to study ykjA function with reduced genetic complexity

The integration of these technologies promises to overcome current limitations in studying transmembrane proteins like ykjA, potentially revealing its precise role in B. subtilis environmental adaptation, biofilm formation, and plant interactions.

How might characterization of ykjA contribute to understanding B. subtilis evolution and adaptation?

Comprehensive characterization of ykjA could significantly advance our understanding of B. subtilis evolution and adaptation through several research avenues:

  • Comparative genomic analysis across ecological niches:

    • Examining ykjA sequence conservation and variation across B. subtilis strains from diverse environments

    • Identifying signatures of selection (dN/dS ratios) that might indicate adaptive evolution

    • Analyzing co-evolution patterns with other genes involved in environmental sensing

    • Creating a phylogenetic map of ykjA variants correlated with ecological niches

  • Experimental evolution under controlled selective pressures:

    • Long-term evolution experiments with wild-type and ykjA mutant strains

    • Selection under conditions relevant to natural habitats (plant rhizosphere, soil fluctuations)

    • Whole genome sequencing of evolved populations to identify compensatory mutations

    • Competition experiments between ancestral and evolved strains to quantify fitness effects

  • Functional characterization in natural isolates:

    • Surveying ykjA allelic variation in B. subtilis strains from diverse environments

    • Testing functionality of different natural variants through complementation experiments

    • Correlating specific ykjA variants with adaptive traits (biofilm robustness, plant colonization)

    • Creating chimeric proteins to identify domains under selection

  • Host-microbe co-evolution studies:

    • Investigating the role of ykjA in adaptation to specific plant hosts

    • Testing whether plant genotype influences selection on ykjA function

    • Examining how ykjA might mediate trade-offs between commensalism and competition

    • Assessing ykjA function in multi-species communities versus monoculture

This research would provide insights into how transmembrane proteins like ykjA contribute to B. subtilis' remarkable ability to adapt to diverse environments over evolutionary timescales, particularly in the context of plant-microbe interactions that have been shown to drive rapid adaptation through changes in biofilm formation and other traits .

What potential biotechnological applications might emerge from detailed understanding of ykjA function?

Elucidating the function of ykjA could unlock several biotechnological applications, particularly in agricultural and environmental contexts:

  • Enhanced plant growth-promoting rhizobacteria (PGPR):

    • Engineering optimized ykjA variants for improved root colonization

    • Development of B. subtilis strains with enhanced biofilm formation on plant roots

    • Fine-tuning bacterial persistence in agricultural settings

    • Creating biosensors to monitor plant-microbe communication in real-time

  • Biocontrol agent optimization:

    • Modifying ykjA to enhance competitive fitness in the rhizosphere

    • Engineering strains with improved stress tolerance for field applications

    • Optimizing bacterial traits that confer protection against plant pathogens

    • Developing strains with improved shelf-life and field persistence

  • Biosensor development:

    • Using ykjA as a scaffold for designing transmembrane biosensors

    • Engineering detection systems for environmental pollutants or plant signals

    • Creating whole-cell biosensors for agricultural or environmental monitoring

    • Developing screening platforms for plant-microbe interaction studies

  • Synthetic biology applications:

    • Repurposing ykjA as a component in synthetic signaling pathways

    • Developing tunable gene expression systems responsive to specific environmental cues

    • Creating novel cell-cell communication systems based on transmembrane signaling

    • Engineering microbe consortia with division of labor for complex tasks

  • Protein engineering advances:

    • Using insights from ykjA structure-function relationships to improve membrane protein production

    • Developing enhanced heterologous expression systems for difficult membrane proteins

    • Creating chimeric proteins with novel functions based on ykjA architecture

    • Establishing platforms for directed evolution of transmembrane proteins

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