KEGG: seh:SeHA_C1674
The ynfA protein shows high conservation across different Salmonella serotypes, similar to other membrane proteins in this pathogen. When comparing the amino acid sequences between Salmonella heidelberg and Salmonella paratyphi A, there is only a single amino acid difference at position 26, where lysine (K) in S. heidelberg is replaced by isoleucine (I) in S. paratyphi A (LWLKR vs. LWIKR) . This high degree of conservation suggests functional importance and potential cross-reactivity of antibodies against different Salmonella serotypes, similar to what has been observed with the FlgK protein, which shows >97% conservation across different Salmonella serovars .
Based on the amino acid sequence and computational analysis, ynfA is a typical integral membrane protein with multiple transmembrane domains. The protein contains hydrophobic stretches consistent with membrane-spanning regions, as indicated by its GRAVY (Grand Average of Hydropathicity) score. The presence of sequences like "LCEIIGCFLPWLWLKR" and "AAASLALFVWLLTLHP" suggests transmembrane helices that anchor the protein within the bacterial membrane . Similar to other bacterial membrane proteins, it likely has portions exposed to both the cytoplasmic and periplasmic sides of the membrane, though detailed structural studies would be needed to confirm its exact topology.
While the specific function of ynfA has not been fully characterized in the provided search results, its conservation across Salmonella serotypes suggests biological significance. By analogy with other membrane proteins in Salmonella (such as FlgK, which is involved in flagellar function), ynfA may play roles in:
Membrane integrity and permeability
Bacterial adhesion to host cells
Environmental stress responses
Transport of molecules across the bacterial membrane
Potential involvement in antibiotic resistance mechanisms
Research approaches similar to those used for the FlgK protein could be applied to explore ynfA's role in virulence, using techniques such as gene knockout studies, adhesion assays, and infection models . The protein's high conservation across serovars (as demonstrated by the near-identical sequences between S. heidelberg and S. paratyphi A) suggests it may perform an essential function .
Based on methodologies applied to other Salmonella proteins like FlgK, researchers can employ both in silico prediction and in vivo experimental approaches for epitope mapping of ynfA:
In silico prediction methods:
Use of multiple B-cell epitope prediction software (e.g., Bepipred, Kolaskar and Tongaonkar antigenicity software)
Analysis with VaxiJen v2.0 for physicochemical property-based epitope prediction
Assessment of antigenicity, allergenicity, and toxicity using tools such as AllerTOP and ToxinPred
In vivo experimental approaches:
Immunization of animal models (e.g., chickens) with recombinant ynfA protein
Mass spectrometry-based immunoproteomics with immunized sera
Experimental validation of predicted epitopes
This dual approach (computational and experimental) can identify consensus epitope sequences with potential for vaccine development, as demonstrated in the FlgK study where three overlapping consensus epitope sequences were identified .
Given the high sequence conservation between ynfA proteins of S. heidelberg and S. paratyphi A (differing by only one amino acid at position 26), antibodies raised against ynfA from one serotype are likely to show strong cross-reactivity with ynfA from other serotypes . This prediction is supported by observations with the FlgK protein, where >97% conservation across serotypes led to cross-reactive antibodies.
The significance for research and diagnostics includes:
Potential for broad-spectrum diagnostic assays targeting multiple Salmonella serotypes
Development of vaccines with cross-protection capabilities
Use as a universal biomarker for Salmonella detection
Experimental validation through Western blotting or ELISA using recombinant ynfA proteins from different serotypes would be necessary to confirm these cross-reactivity patterns .
Based on the commercial protein specifications and general recombinant membrane protein methodologies:
Expression system:
E. coli is the recommended expression host for recombinant ynfA
N-terminal His-tag facilitates purification while minimizing impact on protein structure
Expression under T7 promoter with IPTG induction is typical for these constructs
Purification protocol:
Cell lysis under membrane-protein compatible conditions (detergent-based)
Immobilized metal affinity chromatography (IMAC) using the His-tag
Optional secondary purification step (ion exchange or size exclusion chromatography)
Buffer exchange to a stabilizing formulation
Storage and handling:
The purified protein should be stored as a lyophilized powder
For reconstitution, use deionized sterile water to achieve 0.1-1.0 mg/mL concentration
Add glycerol to 5-50% final concentration for long-term storage
Store at -20°C/-80°C and avoid repeated freeze-thaw cycles
Several complementary approaches can verify the quality of purified recombinant ynfA:
Structural integrity assessment:
SDS-PAGE analysis for purity (>90% purity is standard for research applications)
Western blotting with anti-His antibodies to confirm full-length expression
Circular dichroism (CD) spectroscopy to assess secondary structure elements
Limited proteolysis to evaluate proper folding
Size-exclusion chromatography to detect aggregation
Functional assays:
Liposome incorporation assays to confirm membrane integration capability
Assessment of specific binding partners (if known)
Antibody recognition tests using antisera from Salmonella-infected hosts
Thermal stability assays to determine protein stability
For membrane proteins like ynfA, maintaining the native structure can be challenging, and verification that the recombinant form adopts a conformation similar to the native protein is crucial for meaningful experimental results .
Researchers should consider several challenges when designing immunization studies with recombinant ynfA:
Formulation challenges:
Membrane proteins may require specific adjuvants to maintain structure and enhance immunogenicity
Freund's incomplete adjuvant has been successfully used with other Salmonella proteins
Protein concentration typically ranges from 50-100 μg per dose (100 μg was used for FlgK studies)
Study design considerations:
Primary immunization followed by a booster (typically 2-3 weeks apart)
Sample collection timing (optimal at 2 weeks post-booster)
Control groups must include adjuvant-only and unimmunized subjects
Appropriate animal models (chickens are relevant for Salmonella research)
Assessment methods:
ELISA to measure antibody titers
Mass spectrometry-based immune-capture proteomics for epitope mapping
Challenge studies to assess protective efficacy
Cross-reactivity testing against multiple Salmonella serotypes
The immunization protocol should be approved by the appropriate Institutional Animal Care and Use Committee, with animals housed according to standard guidelines with ad libitum access to feed and water .
Bioinformatic analysis can provide valuable insights into ynfA properties prior to experimental work:
| Bioinformatic Analysis | Tools | Applications for ynfA Research |
|---|---|---|
| Physicochemical properties | ProtParam, Protein-Sol | Predict stability, solubility, and handling properties |
| Antigenicity prediction | VaxiJen v2.0 | Identify potential immunogenic regions without sequence alignment |
| Allergenicity assessment | AllerTOP v2.0 | Ensure safety for vaccine development |
| Toxicity screening | ToxinPred | Rule out potential toxic effects |
| Adhesion prediction | Vaxign2 | Assess potential for host-cell binding |
| Subcellular localization | PSORTb, CELLO | Confirm membrane localization |
| Epitope mapping | Bepipred, Kolaskar and Tongaonkar tools | Identify potential B-cell epitopes |
| Structure prediction | AlphaFold, RoseTTAFold | Generate 3D structural models |
Similar to approaches used for FlgK, multiple tools should be employed for consensus prediction. For example, epitope prediction would benefit from at least 5 different software tools to identify overlapping consensus epitope sequences .
While ynfA remains less studied than other Salmonella proteins like FlgK, comparative analysis suggests several considerations:
| Characteristic | ynfA (UPF0060) | FlgK (Flagellar Hook Protein) | Implications |
|---|---|---|---|
| Size | 108 amino acids | 553 amino acids | ynfA is smaller, potentially easier to express |
| Conservation | High (near-identical between serotypes) | >97% among serotypes | Both have excellent cross-serotype potential |
| Localization | Integral membrane | Flagellar hook-associated | ynfA may be less accessible to antibodies |
| Function | Uncharacterized | Flagellar assembly | FlgK has established role in virulence |
| Epitope mapping | Not reported in search results | Three shared epitopes identified | FlgK has validated epitopes |
| Expression system | E. coli | E. coli | Similar expression platforms |
Several cutting-edge approaches could illuminate ynfA's role in Salmonella pathogenesis:
Genetic approaches:
CRISPR-Cas9 gene editing to create precise ynfA knockout and point mutation strains
Conditional expression systems to study essentiality in different growth conditions
Transposon sequencing (Tn-seq) to identify genetic interactions
Structural biology:
Cryo-electron microscopy of ynfA in membrane environments
X-ray crystallography of detergent-solubilized protein
NMR studies of specific domains or the full protein in membrane mimetics
Functional characterization:
Bacterial two-hybrid systems to identify protein-protein interactions
Lipidomics to assess impact on membrane composition
Single-cell tracking of GFP-tagged ynfA during infection processes
Comparative transcriptomics between wild-type and ynfA mutants
Immunological studies:
Application of epitope mapping approaches similar to those used for FlgK
Assessment of ynfA-specific T-cell responses
Evaluation as a potential DIVA (Differentiating Infected from Vaccinated Animals) marker
Building on the success of mRNA vaccines for COVID-19, similar approaches could be applied to ynfA-based Salmonella vaccines:
mRNA vaccine design considerations:
Codon optimization for enhanced expression in host cells
Selection of optimal 5' and 3' UTRs for stability and translation efficiency
Incorporation of modified nucleosides to reduce innate immune sensing
Lipid nanoparticle formulation optimized for target tissue delivery
Potential advantages over protein-based vaccines:
Avoidance of challenges associated with membrane protein purification
In vivo expression may maintain native conformation better than recombinant proteins
Potential for co-delivery of multiple Salmonella antigens in a single construct
Rapid adaptation to emerging strains or serotypes
Research pathway:
In vitro transcription and testing of ynfA mRNA constructs
Cellular assays to confirm expression and localization
Small animal immunogenicity studies
Challenge studies in relevant animal models (e.g., poultry)
This approach would align with the trend noted in the literature toward applying RNA vaccine technology to bacterial pathogens following successful COVID-19 mRNA vaccine development .