The recombinant Escherichia coli uncharacterized protein yjfZ (UniProt ID: P39308) is a 264-amino acid protein encoded by the yjfZ gene. Despite its designation as "uncharacterized," recent studies have elucidated its role as a conserved signature protein (CSP) exclusive to E. coli and Shigella species. Recombinant yjfZ is typically expressed in E. coli with an N-terminal histidine (His) tag for purification and structural studies. Its sequence (MTLPTTIYSFPAYLSRFSSTDKPVKLKFHQYARATLLSNRGRDHNCDGRRTVEIHKLDLS DWQAFNKLATRCNAYDGITMNGDNSFGWNHEATLDNIHAQKYNKAYAGARLTAELKYLLQ DVESFEPNSKYTIHEVVLGPGYGTPDYTGQTIGYVVTLPAQMPNCWSSELPTIDLYIDQL RTVTGVSNALGFIIAALLNAYSDLPHDLKIGLRSLSSSAAIYSGLGFERVPQERDISCAR MYLTPANHPDLWTQENGEWIYLRN) highlights conserved motifs critical for its biological functions.
| Parameter | Value/Description |
|---|---|
| Gene Name | yjfZ (synonyms: b4204, JW4162) |
| UniProt ID | P39308 |
| Length | Full-length (1–264 amino acids) |
| Expression Host | E. coli (cytoplasmic expression) |
| Tag | N-terminal His-tag |
| Purity | >90% (SDS-PAGE verified) |
| Storage Buffer | Tris/PBS-based buffer with 6% trehalose, pH 8.0 |
yjfZ is produced in E. coli using standard recombinant protocols. The His-tag enables nickel-affinity chromatography purification. While the protein remains uncharacterized in terms of enzymatic activity, its structural integrity is validated through SDS-PAGE and functional assays (e.g., binding studies).
yjfZ is one of three CSPs (YahL, YdjO, YjfZ) identified as exclusive markers for E. coli/Shigella species. These proteins are absent in other bacterial genera, enabling their use in qPCR-based detection assays. Key features include:
| Feature | Detail |
|---|---|
| Exclusivity | Confirmed in >1,000 E. coli/ Shigella strains; absent in other bacteria |
| Detection Method | qPCR primers targeting conserved regions |
| Specificity | 100% confirmed via in silico and experimental validation |
yjfZ-based qPCR assays quantify E. coli in water and food samples, correlating strongly with traditional viable cell counts. For example, in recreational water testing, CSP-based quantification shows high correlation (r > 0.97, p < 0.01) with standard enumeration methods, enabling rapid fecal contamination monitoring .
Structural Studies: Recombinant yjfZ is used to investigate protein folding, aggregation, and interactions.
Diagnostic Development: Serves as a target in PCR assays for E. coli detection, particularly in environmental monitoring .
| Process | Detail |
|---|---|
| Expression System | E. coli cytoplasmic expression |
| Purification | Nickel-affinity chromatography (His-tag) |
| Quality Control | SDS-PAGE and mass spectrometry for purity and identity verification |
KEGG: ecj:JW4162
YjfZ is an uncharacterized protein in Escherichia coli (UniProt ID: P39308) comprising 264 amino acids that has recently been identified as a conserved signature protein (CSP) exclusive to E. coli and Shigella species . Its significance lies in its highly conserved nature across E. coli strains, making it an excellent molecular marker for bacterial identification and detection. Recent research demonstrates its utility as a target for developing quantitative PCR (qPCR) assays for E. coli evaluation in environmental samples . While its biological function remains largely unknown, its conservation suggests it plays an important role in E. coli biology that warrants further investigation.
Recombinant YjfZ is typically expressed in E. coli expression systems with an N-terminal His-tag to facilitate purification. The general methodology involves:
Cloning the yjfZ gene into an appropriate expression vector
Transforming the construct into E. coli expression strains
Inducing protein expression (typically with IPTG for T7-based systems)
Cell lysis to release the recombinant protein
Purification using nickel affinity chromatography that binds the His-tag
Protein elution using imidazole competition
Buffer exchange to remove imidazole and prepare for storage
The purified protein is often provided as a lyophilized powder that can be reconstituted in deionized sterile water to a concentration of 0.1-1.0 mg/mL . For long-term storage, addition of 5-50% glycerol (final concentration) is recommended before aliquoting and storing at -20°C/-80°C . This approach minimizes damage from freeze-thaw cycles.
YjfZ represents one of three newly identified highly-conserved signature proteins exclusive to E. coli/Shigella, alongside YahL and YdjO . When comparing these CSPs for bacterial detection purposes:
| CSP | Specificity | Conservation | Application |
|---|---|---|---|
| YjfZ | E. coli/Shigella-specific | Highly conserved across strains | qPCR detection target |
| YahL | E. coli/Shigella-specific | Highly conserved across strains | qPCR detection target |
| YdjO | E. coli/Shigella-specific | Highly conserved across strains | qPCR detection target |
These CSPs offer superior specificity compared to traditional markers. While YjfZ shows promise, comparative studies evaluating detection limits, specificity, and sensitivity of assays targeting each CSP would be valuable for optimizing E. coli detection methodologies. The selection of which CSP to target may depend on specific research contexts, such as environmental sampling conditions or the presence of PCR inhibitors that might differently affect amplification of each gene region .
While YjfZ remains officially uncharacterized, several hypotheses regarding its biological function can be formulated based on indirect evidence:
Stress Response Involvement: The conservation of YjfZ across E. coli strains suggests it may play a role in fundamental cellular processes. By analogy with other conserved bacterial proteins, it could potentially be involved in stress response mechanisms, similar to how YjiE functions as a hypochlorite-specific transcription factor in E. coli .
Metabolic Function: Its conservation specifically in E. coli and Shigella suggests it may contribute to the unique metabolic capabilities of these organisms.
Structural Role: The amino acid composition and sequence features might indicate a structural role in cellular architecture specific to these bacteria.
Research approaches to elucidate its function could include:
Gene knockout studies to observe phenotypic changes
Protein-protein interaction studies to identify binding partners
Transcriptomic analysis under various stress conditions to identify co-regulated genes
Structural studies to identify potential active sites or binding domains
While no direct evidence links YjfZ to stress response, E. coli has evolved sophisticated mechanisms to cope with environmental stressors. For instance, the transcription factor YjiE has been identified as a hypochlorite-specific regulator that confers resistance to oxidative stress by regulating genes involved in cysteine and methionine biosynthesis, sulfur metabolism, and iron homeostasis .
If YjfZ has a role in stress response, potential experimental approaches to investigate this include:
Exposing E. coli to various stressors (oxidative, acid, heat, antibiotic) and quantifying yjfZ expression changes through qRT-PCR
Creating yjfZ gene knockout strains and assessing their survival under different stress conditions
Using ChIP-seq to identify if any known stress response transcription factors bind to the yjfZ promoter region
Conducting pull-down assays with tagged YjfZ to identify interaction partners during normal and stress conditions
A comparative analysis with characterized stress response proteins could provide insights into potential functional parallels or regulatory connections.
Achieving soluble expression of recombinant proteins in E. coli requires careful optimization. For YjfZ, consider the following parameters:
| Parameter | Recommended Approach | Rationale |
|---|---|---|
| Expression strain | BL21(DE3) or derivatives | Lacks lon and ompT proteases; contains T7 RNA polymerase |
| Growth temperature | 16-18°C post-induction | Slower expression promotes proper folding |
| Induction timing | Mid-log phase (OD600 ~0.6-0.8) | Optimal cell density for protein expression |
| Inducer concentration | 0.1-0.5 mM IPTG | Lower concentrations may improve solubility |
| Growth media | Rich media (e.g., TB or 2×YT) | Provides nutrients for extended expression periods |
| Additives | 2-5% ethanol or 0.5M sorbitol | May improve solubility by activating stress responses |
The formation of inclusion bodies is a common challenge in recombinant protein production in E. coli . If YjfZ forms inclusion bodies, solubility can potentially be improved by:
Co-expression with molecular chaperones (e.g., GroEL/GroES, DnaK/DnaJ/GrpE)
Using fusion tags known to enhance solubility (e.g., MBP, SUMO, TrxA)
Optimizing growth and induction conditions as described above
Monitor protein expression using SDS-PAGE and Western blotting with anti-His antibodies to assess solubility in different fractions.
As a conserved signature protein specific to E. coli/Shigella, YjfZ presents an excellent target for developing detection methods. A comprehensive approach includes:
Primer/Probe Design for qPCR:
Identify highly conserved regions within the yjfZ gene sequence
Design primers with optimal characteristics (18-22bp, 50-60% GC content, Tm ~60°C)
Validate specificity against related bacterial species
Optimize qPCR conditions for maximum sensitivity and specificity
Development of Immunological Detection:
Express and purify recombinant YjfZ protein
Generate specific antibodies against YjfZ
Develop ELISA or lateral flow assays for protein detection
Validate against environmental samples containing diverse bacterial communities
LAMP (Loop-mediated Isothermal Amplification):
Design multiple primers targeting different regions of the yjfZ gene
Optimize reaction conditions for isothermal amplification
Incorporate colorimetric detection for field applications
Recent research has demonstrated successful development of qPCR assays using primers based on conserved regions within CSPs including YjfZ for the evaluation of E. coli . These molecular approaches offer significant advantages over traditional culturing methods, potentially reducing detection time from 24 hours to 2-3 hours.
Understanding protein-protein interactions is crucial for elucidating YjfZ function. Several complementary techniques can be employed:
| Technique | Application | Advantages | Limitations |
|---|---|---|---|
| Co-immunoprecipitation (Co-IP) | Identifying native interaction partners | Preserves physiological conditions | Requires specific antibodies |
| Pull-down assays | Validating direct interactions | Simple to implement with His-tagged YjfZ | May identify non-specific interactions |
| Yeast two-hybrid (Y2H) | Screening for potential interactors | High-throughput capability | Prone to false positives/negatives |
| Surface Plasmon Resonance (SPR) | Measuring binding kinetics | Provides quantitative binding data | Requires purified proteins |
| Crosslinking Mass Spectrometry | Identifying interaction interfaces | High resolution of interaction sites | Complex data analysis |
| Förster Resonance Energy Transfer (FRET) | Visualizing interactions in living cells | Real-time monitoring in native environment | Requires fluorescent tagging |
A strategic approach would begin with pull-down assays using His-tagged YjfZ followed by mass spectrometry to identify candidate interaction partners. These candidates would then be validated using more targeted approaches such as SPR or FRET to confirm direct interactions and determine binding affinities.
The high conservation of YjfZ specifically within E. coli and Shigella species provides valuable insights into bacterial evolution. When analyzing sequence conservation:
Phylogenetic Analysis Approach:
Collect YjfZ sequences from diverse E. coli strains and related species
Perform multiple sequence alignment using tools like MUSCLE or CLUSTALW
Construct phylogenetic trees using maximum likelihood or Bayesian methods
Calculate selection pressures using dN/dS ratios to identify conserved functional domains
Interpretation Framework:
The LTEE has tracked genetic changes in 12 initially identical E. coli populations for over 80,000 generations since 1988 . Examining whether yjfZ has remained conserved throughout this experiment could provide valuable insights into its evolutionary importance.
Developing robust YjfZ-based detection methods requires rigorous statistical validation:
Limit of Detection (LOD) Determination:
Prepare serial dilutions of E. coli cultures with known cell counts
Perform multiple technical replicates (n≥8) at each concentration
Plot standard curve and calculate theoretical LOD using:
LOD = 3.3 × (standard deviation of blank/slope of standard curve)
Empirically verify by testing samples at the calculated LOD
Specificity Testing:
Test against panel of non-target bacteria (minimum 30 species)
Include closely related Enterobacteriaceae and environmental isolates
Calculate specificity metrics:
Specificity (%) = [True Negatives/(True Negatives + False Positives)] × 100
Validation in Complex Matrices:
Spike known quantities of E. coli into environmental samples
Calculate recovery rates and matrix effects
Employ statistical methods to account for inhibition effects:
Analysis of Covariance (ANCOVA) to compare standard curves in buffer vs. matrix
Bland-Altman plots to assess agreement between methods
Interlaboratory Comparison:
Distribute identical samples to multiple labs
Analyze reproducibility using nested ANOVA to partition variance components
This comprehensive validation approach ensures that YjfZ-based detection methods are robust across various conditions and laboratories.
Distinguishing the specific functions of uncharacterized proteins like YjfZ requires systematic approaches:
Comparative Functional Genomics:
Create single and combination gene knockouts
Perform phenotypic profiling under diverse growth conditions
Use high-throughput methods like Biolog Phenotype MicroArrays
Apply statistical methods like Principal Component Analysis to identify patterns
Transcriptomic Profiling:
Compare RNA-seq data from wild-type and yjfZ knockout strains
Identify differentially expressed genes using tools like DESeq2
Apply gene set enrichment analysis to identify affected pathways
Use time-course experiments to capture dynamic responses
Protein Domain Analysis:
Perform sensitive sequence analysis using HHPred or AlphaFold
Identify potential functional domains or structural motifs
Compare with experimentally characterized proteins from other organisms
Generate testable hypotheses based on predicted structures
Network Analysis Approach:
Construct protein-protein interaction networks using experimental data
Apply graph theory algorithms to identify functional modules
Compare network positions of different uncharacterized proteins
Use conditional dependency networks to infer functional relationships
These complementary approaches provide a framework for systematically distinguishing the unique roles of individual uncharacterized proteins in E. coli.
Working with uncharacterized proteins like YjfZ presents several challenges:
| Challenge | Solution Approaches | Implementation Details |
|---|---|---|
| Low expression levels | Optimize codon usage | Adapt codons to E. coli preference using tools like JCat or OPTIMIZER |
| Protein insolubility | Screen multiple expression conditions | Create a factorial design varying temperature, inducer concentration, and media composition |
| Protein instability | Add protease inhibitors and optimize buffers | Include EDTA, PMSF, and test buffers with different pH values (6.5-8.5) |
| Lack of functional assays | Develop phenotypic screens | Monitor growth under various stress conditions comparing wild-type and knockout strains |
| Limited structural information | Employ computational prediction | Use AlphaFold to generate structural models and identify potential functional sites |
| Non-specific antibodies | Develop peptide-specific antibodies | Select unique peptide regions of YjfZ for antibody generation |
When troubleshooting recombinant YjfZ expression, systematic documentation of conditions and outcomes is essential. Consider using design of experiments (DoE) approaches to efficiently optimize multiple parameters simultaneously.
Integrated 'omics' approaches offer powerful strategies for elucidating YjfZ function:
Multi-omics Integration Framework:
Genomics: Analyze yjfZ gene neighborhood and conservation patterns
Transcriptomics: Identify conditions affecting yjfZ expression using RNA-seq
Proteomics: Map YjfZ protein interactions using IP-MS or proximity labeling
Metabolomics: Detect metabolic changes in yjfZ knockout strains
Integrate data using computational methods like WGCNA or iOmicsPASS
Spatial and Temporal Resolution:
Single-cell RNA-seq to capture cell-to-cell variability in yjfZ expression
Time-course experiments to track dynamic responses
APEX2 proximity labeling to map spatial interactions of YjfZ
Application to Stress Responses:
This integrated approach would provide a comprehensive view of YjfZ's role in cellular processes and potential stress response mechanisms.
The identification of YjfZ as an E. coli-specific conserved signature protein opens several avenues for applied research:
Advanced Detection Technologies:
Develop CRISPR-Cas biosensors targeting the yjfZ gene
Create aptamer-based detection systems specific to YjfZ protein
Integrate with microfluidic platforms for automated detection
Environmental Monitoring Applications:
Field-deployable kits using isothermal amplification of yjfZ
Multiplexed detection systems targeting multiple CSPs (YjfZ, YahL, YdjO)
Integration with smartphone-based imaging for quantitative analysis
Water Quality Assessment Framework:
Correlate YjfZ-based detection with traditional fecal indicator bacteria methods
Establish quantitative relationships with pathogen presence
Develop risk assessment models based on quantitative detection
Synergistic Research Approaches:
Combine YjfZ detection with metagenomic analysis for comprehensive assessment
Investigate survival dynamics of E. coli in various environments using YjfZ as a marker
Explore the relationship between YjfZ conservation and E. coli persistence in water systems
These research directions could significantly advance environmental monitoring capabilities, potentially reducing detection time from 24 hours with traditional culturing methods to under 1 hour with optimized molecular approaches based on YjfZ detection .