KEGG: set:SEN2996
For optimal stability of recombinant YqhA protein, storage recommendations include:
Short-term storage (up to one week): 4°C in working aliquots
Standard storage: -20°C in Tris-based buffer containing 50% glycerol
Long-term storage: -80°C in the same buffer formulation
Repeated freeze-thaw cycles should be avoided to maintain protein integrity. The protein is typically supplied in a storage buffer optimized specifically for its stability, consisting of a Tris-based buffer with 50% glycerol .
Comparative genomic analysis reveals that Salmonella enteritidis PT4 (strain P125109) has several distinguishing features:
It is classified as a host-promiscuous strain, unlike host-restricted strains such as S. Gallinarum.
The genome shows extensive synteny with S. Typhimurium LT2, with >90% of coding sequences forming a core gene set with 98.98% average nucleotide identity between shared orthologs.
S. Enteritidis PT4 possesses unique genomic regions of difference (RODs) compared to S. Typhimurium LT2, including prophage-like elements, fimbrial clusters, and metabolic islands.
S. Enteritidis PT4 harbors 13 fimbrial clusters, with a novel cluster termed 'peg' that is restricted to S. Enteritidis, S. Gallinarum 287/91, and S. Paratyphi A .
Several detection methods are employed for identifying Salmonella enteritidis PT4:
Research demonstrates that while traditional methods like phage typing have been historically useful, whole genome sequencing offers superior discriminatory power for distinguishing between closely related isolates during outbreak investigations .
When traditional typing methods such as phage typing and MLVA show identical profiles for different isolates (as commonly seen with PT4 and MLVA profile 3-10-5-4-1), researchers should employ whole genome sequencing (WGS) for enhanced discrimination:
WGS Analysis Protocol:
Sequence isolates on platforms like Illumina HiSeq
Analyze data using user-friendly tools such as CLC Genomics Workbench and resources from the Center for Genomic Epidemiology
Visualize genome comparisons with tools like BLAST Ring Image Generator (BRIG)
Case studies have demonstrated that WGS can successfully distinguish between simultaneous outbreaks of S. Enteritidis PT4 occurring in geographically separated locations when classical microbiological subtyping methods failed to provide sufficient discrimination. This approach also enables detection of additional genetic elements, such as plasmids carrying antibiotic resistance genes that may be present in variant phage types (e.g., PT4a) .
The UPF0114 protein family, including YqhA, represents an interesting marker for evolutionary studies in Salmonella. Comparative analysis of the S. Enteritidis PT4 genome with S. Gallinarum 287/91 reveals that S. Gallinarum is likely a recently evolved descendant of S. Enteritidis.
While specific conservation data for YqhA across serovars is not directly provided in the search results, the broader genomic context shows:
S. Enteritidis PT4 and S. Gallinarum 287/91 exhibit predominant similarity and synteny in core genome regions
S. Gallinarum has undergone extensive genome degradation through deletion and pseudogene formation
The average nucleotide identity between shared orthologs of S. Enteritidis PT4 and S. Typhimurium LT2 is 98.98%
Researchers investigating YqhA specifically should perform comparative protein sequence analysis across various Salmonella serovars to establish its conservation pattern and potential role in host adaptation or virulence.
While the specific function of YqhA remains uncharacterized (hence the "UPF" designation for uncharacterized protein family), its potential role in pathogenesis can be inferred from several lines of evidence:
Membrane association: The amino acid sequence suggests YqhA is likely a membrane-associated protein based on the presence of hydrophobic regions (WLLAPVYFGLSLALIALALKF) .
Host adaptation context: S. Enteritidis PT4 is a host-promiscuous strain, and comparative genomic studies with host-restricted strains like S. Gallinarum provide insight into genetic determinants of host range. Pseudogene formation in host-adapted strains often affects membrane proteins and those involved in host-pathogen interactions .
Genomic context: The gene (yqhA) is designated as SEN2996 in the S. Enteritidis PT4 genome . Examining neighboring genes and their regulation could provide clues to function.
Advanced research approaches to determine YqhA function include:
Gene knockout studies to assess virulence in different animal models
Protein localization assays to confirm membrane association
Protein-protein interaction studies to identify binding partners
Expression analysis under different infection-relevant conditions
While the search results don't directly address epigenetic regulation of yqhA, researchers can investigate this question through the following methodological approaches:
Environmental Condition Analysis:
Expose S. Enteritidis PT4 to conditions mimicking various environments:
Gastrointestinal tract (low pH, bile salts)
Intracellular (low Mg²⁺, antimicrobial peptides)
Food matrices (egg components, poultry environment)
Various temperatures (refrigeration, cooking, body temperature)
Epigenetic Profiling Techniques:
Bisulfite sequencing to identify DNA methylation patterns
ChIP-seq to detect histone modifications near yqhA
ATAC-seq to assess chromatin accessibility
RNA-seq to quantify transcriptional changes
Regulon Analysis:
Examine if yqhA is part of known Salmonella regulatory networks:
PhoPQ two-component system
RpoS stress response
HilA virulence regulator
This research direction is particularly relevant given that S. Enteritidis PT4 has been associated with numerous outbreaks, especially those linked to eggs and poultry products, suggesting adaptation to specific environmental niches .
Based on available information about recombinant YqhA protein production, the following methodological approach is recommended:
Expression System Selection:
Baculovirus expression systems have been successfully used for other Salmonella recombinant proteins
E. coli-based systems using pET vectors are also suitable for bacterial proteins of similar size
Expression Protocol:
Clone the full yqhA coding sequence (positions 1-164) into an appropriate expression vector
Consider adding a purification tag (His-tag or GST-tag) - note that tag type may be determined during the production process
Transform into expression host and induce protein expression (IPTG for E. coli systems)
Harvest cells and lyse using appropriate buffer systems
Purification Strategy:
Initial capture using affinity chromatography based on the chosen tag
Secondary purification using ion exchange or size exclusion chromatography
Final formulation in Tris-based buffer with 50% glycerol for stability
Quality Control:
SDS-PAGE to verify size and purity
Western blot for identity confirmation
ELISA to confirm proper folding and epitope presentation
Developing an effective ELISA for detecting S. Enteritidis PT4 using YqhA protein involves the following methodological approach:
Antibody Development:
Use purified recombinant YqhA protein to raise polyclonal antibodies in rabbits or develop monoclonal antibodies
Screen antibodies for specificity against YqhA and lack of cross-reactivity with homologous proteins from other bacteria
ELISA Configuration Options:
Direct ELISA: Immobilize sample on plate, detect with anti-YqhA antibody
Sandwich ELISA: Capture antibody → sample → detection antibody
Competitive ELISA: Sample competes with labeled YqhA for antibody binding
Optimization Parameters:
Coating buffer composition and pH
Blocking reagent selection
Antibody concentrations and incubation times
Wash buffer stringency
Substrate selection for maximum sensitivity
Validation Protocol:
Determine specificity against:
Other Salmonella serotypes
Non-Salmonella enterobacteria
Food matrix components
Establish limit of detection (comparable to iQ-Check Salmonella II)
Assess performance on artificially spiked samples:
The XP-Design Assay for Salmonella Enteritidis has demonstrated 106% efficiency with an R² value of 0.9991, providing a benchmark for assay performance .
To trace the evolutionary history of the yqhA gene across different S. Enteritidis phage types, researchers should implement the following genomic analysis approach:
Sample Selection Strategy:
Include diverse S. Enteritidis phage types (PT1, PT4, PT8, PT13a) from different geographical regions and time periods
Include representatives from other Salmonella serovars for outgroup comparison
Sample both outbreak and sporadic isolates to capture maximum diversity
Sequencing Methodologies:
Whole Genome Sequencing (preferred approach)
Short-read sequencing (Illumina) for SNP detection
Long-read sequencing (PacBio/Nanopore) for structural variation
Targeted amplicon sequencing of yqhA and flanking regions
Bioinformatic Analysis Pipeline:
Sequence alignment of yqhA gene and protein sequences
Phylogenetic analysis:
Maximum likelihood or Bayesian approaches
Selection pressure analysis (dN/dS ratios)
Genomic context analysis:
Conservation of flanking genes
Mobile genetic element detection
Population structure analysis:
Epidemiological Context Integration:
Correlate genetic findings with historical outbreak data
Map geographical distribution of variants
Assess temporal trends in gene evolution
This approach has proven valuable in previous studies of S. Enteritidis PT4, which identified geographical clustering of certain genetic variants and temporal shifts in predominant phage types .
When designing mutation studies to investigate YqhA function in S. Enteritidis PT4 virulence, researchers should consider the following methodological framework:
Mutation Strategy Selection:
Clean deletion (preferred):
Lambda Red recombinase system for precise gene removal
Include removal of antibiotic resistance marker when possible
Point mutations:
Target conserved amino acids identified through sequence alignment
Consider membrane topology predictions when selecting targets
Conditional expression:
Inducible/repressible promoter systems
Temperature-sensitive alleles
Phenotypic Characterization:
In vitro assays:
Growth curves under various conditions
Stress resistance (acid, bile, oxidative)
Cell invasion assays (epithelial and macrophage cells)
Biofilm formation
Motility assessment
In vivo infection models:
Complementation studies:
Trans-complementation with wild-type yqhA
Complementation with homologs from other serovars
Molecular Mechanism Investigation:
Transcriptomic analysis:
RNA-seq comparing wild-type vs. mutant
Identification of affected pathways
Protein interaction studies:
Pull-down assays
Bacterial two-hybrid systems
Structural studies:
Membrane localization confirmation
Potential transmembrane domain function
This approach follows the experimental model suggested for understanding host adaptation in S. enterica, where mutations in genes of host-promiscuous strains like S. Enteritidis PT4 are analyzed to understand the functional significance of pseudogenes present in host-adapted strains .
When faced with discrepancies between phage typing and molecular characterization results for S. Enteritidis PT4 isolates, researchers should apply the following analytical framework:
Hierarchical Evaluation Approach:
Understand the limitations of phage typing:
Resolution power comparison:
| Method | Discriminatory Power | Stability | Ease of Use |
|---|---|---|---|
| Phage Typing | Moderate | May change | Requires reference laboratory |
| PFGE | Higher | Stable | Standardized protocol |
| MLVA | High | Stable | Rapid, standardized |
| WGS | Highest | Most stable | Complex analysis |
Integration strategy:
Use hierarchical approach: start with phage typing for initial classification
Apply MLVA or PFGE for intermediate resolution
Resolve discrepancies with WGS for definitive characterization
Look for genetic elements that might explain phage type variation (e.g., plasmids or prophages)
A case example demonstrated that S. Enteritidis isolates identified as PT4 by phage typing (with one variant typed as PT4a) all had identical MLVA profiles (3-10-5-4-1), yet WGS analysis could clearly discriminate between separate outbreaks and identify an additional plasmid carrying antibiotic resistance in the PT4a variant .
Global Distribution Analysis:
Geographical patterns:
Temporal trends:
Source attribution:
Data Integration Methodology:
Create a database linking:
YqhA sequence variants
Geographic origin
Isolation date
Source (human, food, animal)
Associated outbreak information
Perform phylogeographic analysis to:
Track the global spread of specific variants
Identify convergent evolution in separate lineages
Correlate genetic changes with emergence in new regions
Assess correlation with historical control measures:
This approach aligns with the success seen in tracking S. Enteritidis PT4 outbreaks through combined molecular and epidemiological methods, and could reveal whether YqhA plays a role in the adaptation of PT4 to specific ecological niches or hosts .
Membrane-associated proteins like YqhA present unique challenges for recombinant expression and purification. Based on the protein's characteristics, researchers should consider the following troubleshooting strategies:
Expression System Optimization:
E. coli strain selection:
Use C41(DE3) or C43(DE3) strains specifically developed for membrane protein expression
Consider BL21(DE3)pLysS to reduce basal expression toxicity
Expression vector modifications:
Fusion tags: MBP, GST, or SUMO to enhance solubility
Twin-Strep or His8 tags for improved membrane protein purification
Codon optimization for E. coli expression
Induction protocols:
Lower induction temperature (16-20°C)
Reduced IPTG concentration (0.1-0.5 mM)
Extended expression time (overnight)
Membrane Protein Extraction:
Detergent screening panel:
Mild detergents: DDM, LMNG, or Digitonin
Zwitterionic detergents: LDAO, Fos-choline
Test multiple concentrations and combinations
Solubilization optimization:
Buffer composition (pH 7.5-8.0 typically optimal)
Salt concentration (300-500 mM NaCl)
Glycerol addition (10-20%)
Solubilization time and temperature
Purification Refinement:
Chromatography approach:
IMAC with extended washing steps
Size exclusion chromatography to remove aggregates
Consider amphipol exchange for improved stability
Storage optimization:
Quality Assessment:
Circular dichroism to verify secondary structure
Mass spectrometry to confirm correct mass
Thermostability assays to optimize buffer conditions
These approaches have proven successful for membrane proteins similar to YqhA and follow best practices for handling proteins with transmembrane domains.
When developing immunological detection methods for YqhA in complex matrices like food samples or clinical specimens, researchers may encounter cross-reactivity challenges. The following strategic approach can help address these issues:
Antibody Optimization:
Epitope mapping and selection:
Identify YqhA-specific epitopes with minimal homology to proteins from:
Other Salmonella serotypes
Related Enterobacteriaceae
Food matrix proteins
Target unique extracellular loops or termini
Antibody production options:
Monoclonal antibodies for highest specificity
Recombinant antibody fragments (Fab, scFv)
Phage display selection under stringent conditions
Affinity maturation:
Sequential panning against YqhA with negative selection steps
Competitive elution with specific YqhA peptides
Cross-reactivity Reduction:
Sample pre-treatment:
Selective enrichment in specialized media
Centrifugation or filtration steps
Heat treatment to denature cross-reactive proteins
Blocking optimization:
Milk proteins for food sample matrices
Serum albumin for clinical samples
Pre-adsorption of detection antibodies with related antigens
Assay format modifications:
Sandwich ELISA with two different YqhA-specific epitopes
Competitive ELISA design
Multiplex detection with confirmatory markers
Validation Protocol:
Cross-reactivity panel testing:
Statistical validation: