KEGG: ypy:YPK_4186
Yersinia pseudotuberculosis belongs to the Yersinia genus within the Enterobacteriaceae family. Population genetics studies have revealed that Yersinia pestis evolved from Y. pseudotuberculosis relatively recently, approximately 1,500–20,000 years ago . This represents one of the most rapid documented cases of a new human pathogen emerging from a less virulent ancestor .
Despite their close genetic relationship, Y. pseudotuberculosis and Y. pestis display markedly different ecology, epidemiology, and pathogenicity. Y. pseudotuberculosis functions primarily as a mammalian enteropathogen found widely in the environment, while Y. pestis has evolved into a blood-borne pathogen capable of parasitizing insects and causing systemic disease .
Both Y. pseudotuberculosis and Y. pestis, along with Y. enterocolitica, target lymph tissues during infection and carry a 70-kb virulence plasmid (pYV) that is essential for infection in these tissues and for overcoming host defense mechanisms .
Researchers investigating YPK_4186 can access information from multiple databases:
UniProtKB/Swiss-Prot: Contains the reviewed entry (B1JR04) with annotation and sequence data
EMBL/GenBank/DDBJ: Contains the nucleotide sequence under accession CP000950
RefSeq: Contains the protein sequence under accession WP_012304781.1
AlphaFoldDB: Provides structural predictions under identifier B1JR04
EnsemblBacteria: Contains annotation under identifier ACA70445
KEGG: Maps the protein in metabolic and signaling pathways under ypy:YPK_4186
PATRIC: Bacterial bioinformatics database with the entry fig|502800.11.peg.537
GO (Gene Ontology): Contains functional annotation GO:0005887 (integral component of plasma membrane)
Protein domain databases: InterPro (IPR023679, IPR017039), PANTHER (PTHR30213), and Pfam (PF03631)
When expressing recombinant YPK_4186, researchers should consider the challenges associated with membrane protein expression:
For specific purification of YPK_4186, researchers can reference established protocols for membrane proteins while customizing the approach based on the unique characteristics of this protein.
While direct evidence of YPK_4186's role in virulence is not fully established in the provided search results, several insights can guide hypothesis development:
Membrane protein function: As a multi-pass membrane protein, YPK_4186 may play a role in nutrient acquisition, signal transduction, or interaction with host cells during infection . The protein contains the Virul_fac_BrkB domain (Pfam: PF03631), which is associated with virulence factors in some bacteria .
Related virulence mechanisms: Other Yersinia species contain insecticidal toxin complex (TC) genes that contribute to virulence. For example, in Y. enterocolitica biotype 1A, genes such as tcbA, tcaC, and tccC are homologous to insecticidal TC genes and contribute to virulence by facilitating persistence in vivo . Investigating whether YPK_4186 interacts with or modulates the activity of these toxin complexes could be valuable.
Experimental approach: To investigate YPK_4186's potential role in virulence:
Generate YPK_4186 knockout mutants and assess their ability to colonize the gastrointestinal tract in mouse models
Perform comparative proteomics between wild-type and knockout strains
Assess protein-protein interactions between YPK_4186 and known virulence factors
Evaluate differential gene expression in response to host-like conditions
Regulatory networks: Examine whether YPK_4186 expression changes in response to environmental conditions mimicking the host environment, which would suggest a potential role in adaptation during infection.
Researchers working with YPK_4186 should anticipate several technical challenges:
Membrane protein solubility: As a multi-pass membrane protein, YPK_4186 is highly hydrophobic and may aggregate during expression and purification .
Solution: Use appropriate detergents or nanodiscs to maintain solubility; consider fusion partners that enhance solubility such as MBP (maltose-binding protein) or SUMO.
Expression yield: Membrane proteins often express at lower levels than soluble proteins .
Solution: Optimize expression conditions including temperature, induction time, and inducer concentration; consider using specialized expression strains like C41(DE3) or C43(DE3) for toxic membrane proteins.
Protein truncation: Translation initiation problems may lead to truncated products .
Solution: Use dual fusion tags to identify and purify only full-length protein; increase imidazole concentration during elution to separate full-length from truncated versions.
Functional assays: Determining the functionality of recombinant YPK_4186 may be challenging without knowing its natural substrate or activity.
Solution: Develop binding assays with potential ligands; study the protein in reconstituted membrane systems; perform comparative analyses with known UPF0761 family members.
Structural analysis: Membrane proteins are notoriously difficult to crystallize for structural studies .
Solution: Consider alternative structural approaches like cryo-EM or NMR for smaller domains; use computational modeling based on similar proteins; leverage AlphaFold2 predictions as starting points.
Confirming the predicted subcellular localization and determining the membrane topology of YPK_4186 requires multiple complementary approaches:
Fluorescent protein fusions: Create N-terminal and C-terminal GFP fusions to visualize localization in live cells. Compare these results with the predicted cell inner membrane localization .
Membrane fractionation: Perform subcellular fractionation to separate inner and outer membranes, followed by Western blotting to detect the protein in specific fractions.
Protease accessibility assays: To determine topology (which regions face the cytoplasm versus periplasm):
Create spheroplasts and treat with proteases like trypsin or proteinase K
Analyze protected fragments by mass spectrometry
Compare results with computational predictions of transmembrane domains
Cysteine substitution and labeling: Introduce cysteine residues at various positions and assess their accessibility to membrane-impermeable sulfhydryl reagents to map topology.
Immunogold electron microscopy: Use antibodies against YPK_4186 with gold-conjugated secondary antibodies to visualize localization at high resolution.
Computational validation: Cross-reference experimental results with predictions from TMHMM, TOPCONS, or other membrane protein topology prediction tools.
This multi-faceted approach will provide robust evidence of both localization and topology, which is crucial for understanding the protein's function in its native context.
Detailed sequence analysis of YPK_4186 can provide significant insights into its potential function:
Domain architecture: The protein contains the Virul_fac_BrkB domain (IPR017039) , which has been associated with virulence factors in other bacteria. This suggests potential involvement in pathogenicity or host interaction.
P2 amino acid analysis: Examining the second amino acid position (P2) can provide insights into protein processing and stability. The table below shows P2 residue frequencies in cytosolic proteins:
| P2 residue | Ubr-QC-compatible P2 | Ubr-QC-incompatible P2 |
|---|---|---|
| A | 10.32 | |
| S | 35.32 | |
| F | 1.19 | |
| R | 1.98 |
YPK_4186 contains alanine at position 2 (see sequence: MASFRFRLLSPLKP...) , which falls into the Ubr-QC-incompatible category according to the P2 amino acid usage data . This suggests the protein may have specific degradation patterns or stability characteristics.
Transmembrane prediction: Hydrophobicity analysis of the sequence reveals multiple potential transmembrane helices, consistent with its annotation as a multi-pass membrane protein .
Conservation analysis: Comparison with other UPF0761 family members can identify conserved residues that might be functionally important. This approach can highlight potential active sites or binding interfaces.
Structural homology: While YPK_4186 is classified as an "uncharacterized protein family" (UPF), structural predictions from AlphaFold2 might reveal structural similarities to proteins of known function, providing functional hypotheses.
Thorough antibody validation is critical for studies involving YPK_4186. A comprehensive validation approach should include:
Western blot analysis:
Test antibody against recombinant YPK_4186 protein
Compare wild-type Y. pseudotuberculosis with YPK_4186 knockout strains
Include positive and negative controls (other Yersinia species)
Perform peptide competition assays to confirm specificity
Immunoprecipitation:
Perform IP from membrane fractions of Y. pseudotuberculosis
Confirm pulled-down protein identity by mass spectrometry
Test reciprocal IP if antibodies to interaction partners are available
Immunofluorescence microscopy:
Compare localization patterns with computational predictions
Include membrane markers to confirm inner membrane localization
Use YPK_4186 knockout strains as negative controls
Testing across conditions:
Evaluate antibody performance under different fixation methods
Test antibody recognition under native and denatured conditions
Assess cross-reactivity with homologous proteins from related Yersinia species
Quantitative validation:
Determine antibody affinity and specificity parameters
Establish optimal working concentrations for different applications
Document batch-to-batch variation if using polyclonal antibodies
This systematic approach ensures reliable antibody-based detection of YPK_4186 for various experimental applications.
Designing functional assays for a protein of unknown function requires a systematic approach:
Comparative genomics-based approach:
Identify organisms where YPK_4186 homologs are present vs. absent
Compare phenotypic differences between these organisms to generate functional hypotheses
Investigate genetic context: are nearby genes functionally related?
Gene knockout studies:
Generate YPK_4186 knockout strains using CRISPR-Cas9 or traditional homologous recombination
Perform phenotypic screens under various conditions (different nutrients, stressors, host cells)
Compare growth rates, membrane integrity, and virulence phenotypes between wild-type and knockout strains
Protein-protein interaction studies:
Perform pull-down assays using tagged YPK_4186 as bait
Use proximity labeling methods like BioID or APEX to identify neighboring proteins
Validate interaction partners with co-immunoprecipitation and FRET/BRET assays
Membrane transport assays (given its membrane localization):
Reconstitute purified YPK_4186 in liposomes with fluorescent indicators
Test for transport of various substrates (ions, small molecules)
Measure membrane potential changes in response to different conditions
Expression profiling:
Analyze conditions where YPK_4186 is upregulated or downregulated
Use RNA-seq to identify genes co-regulated with YPK_4186
Test phenotypes under these specific conditions
This multi-faceted approach increases the likelihood of identifying functional roles of YPK_4186 despite the initial lack of functional annotation.
Comparative genomics offers powerful insights for studying proteins of unknown function like YPK_4186:
Ortholog identification and conservation analysis:
Use tools like OrthoMCL, OMA, or KEGG Orthology to identify YPK_4186 orthologs across bacterial species
Calculate sequence conservation scores to identify highly conserved regions likely crucial for function
Map conservation onto predicted structural models to identify potential functional sites
Synteny analysis:
Examine the genomic context of YPK_4186 across different Yersinia species and other bacteria
Identify consistently co-located genes that may be functionally related
Look for operonic structures that suggest coordinated expression with other genes
Phylogenetic profiling:
Create a presence/absence matrix of YPK_4186 across diverse bacterial genomes
Identify other proteins with similar phylogenetic profiles, suggesting functional relationships
Correlate profiles with specific phenotypes or ecological niches
Selection pressure analysis:
Calculate dN/dS ratios across the protein sequence to identify regions under purifying or positive selection
Compare these patterns between pathogenic and non-pathogenic Yersinia strains
Identify specific codons under selection that may be functionally significant
Horizontal gene transfer analysis:
Assess whether YPK_4186 shows evidence of horizontal acquisition
Compare codon usage and GC content with genomic averages
Determine if YPK_4186 is associated with mobile genetic elements in any species
Integration with experimental data:
Correlate computational findings with experimental results from knockout studies
Use comparative genomics predictions to guide targeted mutagenesis experiments
Validate predictions about functional sites through biochemical assays
This integrated comparative genomics approach can provide testable hypotheses about YPK_4186 function, evolutionary history, and potential role in Yersinia pathogenicity.
Membrane proteins like YPK_4186 require special consideration for storage to maintain stability and functionality:
Buffer composition optimization:
Use a buffer containing 20-50 mM Tris or HEPES at pH 7.5-8.0
Include 100-150 mM NaCl to maintain ionic strength
Add 5-10% glycerol to prevent freezing damage and stabilize the protein
Consider adding 1-5 mM reducing agent (DTT or TCEP) to prevent oxidation of cysteine residues
Include appropriate detergent at concentrations just above CMC (critical micelle concentration)
Detergent considerations:
Mild detergents like DDM, LMNG, or digitonin are often suitable for membrane protein storage
Detergent concentration should be maintained above CMC but not excessively high
Consider alternative stabilization systems like nanodiscs, amphipols, or SMALPs for improved stability
Storage temperature:
Stability assessment:
Before long-term storage, perform thermal shift assays to identify optimal buffer conditions
Monitor sample homogeneity by dynamic light scattering before and after storage
Validate functional activity after storage using established assays
Additional considerations:
Add protease inhibitors for storage at 4°C
Avoid repeated freeze-thaw cycles by preparing small aliquots
Consider lyophilization only if stability in reconstituted form has been confirmed
Assessing the folding state of membrane proteins like YPK_4186 requires specialized approaches:
Circular dichroism (CD) spectroscopy:
Far-UV CD (190-250 nm) to assess secondary structure content
Compare spectra with theoretical predictions based on the protein sequence
Monitor thermal denaturation to assess stability and cooperative unfolding
Fluorescence spectroscopy:
Intrinsic tryptophan fluorescence to monitor tertiary structure
Use external fluorescent dyes like ANS that bind to exposed hydrophobic regions in misfolded proteins
Perform thermal or chemical denaturation studies to generate unfolding curves
Size-exclusion chromatography (SEC):
Analyze elution profiles to detect aggregation or oligomeric states
Couple with multi-angle light scattering (SEC-MALS) for accurate molecular weight determination
Compare with known standards of similar membrane proteins
Limited proteolysis:
Properly folded membrane proteins typically show resistance to proteolysis in detergent micelles
Compare digestion patterns between different preparation methods
Identify proteolytically stable domains through mass spectrometry analysis
Functional assays:
Ligand binding studies if potential ligands are known
Membrane reconstitution followed by functional assays
Interaction studies with known binding partners
Computational validation:
Compare experimental data with AlphaFold2 predictions
Use molecular dynamics simulations to assess stability in membrane environments
Validate experimental results against similar well-characterized membrane proteins
This multi-technique approach provides robust evidence for the folding state of recombinant YPK_4186, which is crucial for downstream structural and functional studies.
Investigating YPK_4186-host interactions requires a comprehensive experimental design:
Expression profiling during infection:
Measure YPK_4186 expression levels during different stages of host cell infection
Compare expression in different host cell types (epithelial cells, macrophages)
Use qRT-PCR and Western blotting to quantify expression changes
Localization during host interaction:
Create fluorescently tagged YPK_4186 to track localization during infection
Use confocal microscopy to determine if YPK_4186 localizes to the host-pathogen interface
Perform immunofluorescence studies in fixed infected cells
Knockout studies in infection models:
Create YPK_4186 knockout strains and assess their ability to:
Adhere to host cells
Invade epithelial cells
Survive within macrophages
Establish infection in animal models
Complement the knockout with wild-type YPK_4186 to confirm phenotypes
Identification of host interaction partners:
Perform bacterial two-hybrid screening against host protein libraries
Use cross-linking approaches followed by mass spectrometry
Validate potential interactions using co-immunoprecipitation and FRET assays
Host response analysis:
Compare host cell transcriptome responses to wild-type versus YPK_4186 knockout bacteria
Measure cytokine production and inflammatory responses
Assess host cell cytoskeletal rearrangements and membrane integrity
Advanced screening approaches:
Perform CRISPR screens in host cells to identify genes involved in YPK_4186 interactions
Use transposon mutant libraries to identify bacterial genes that modulate YPK_4186 function
Develop high-content imaging assays to quantify phenotypic changes
This systematic approach will reveal whether YPK_4186 plays a direct role in host-pathogen interactions and identify the molecular mechanisms involved.
When faced with contradictory data about YPK_4186, researchers should implement the following resolution strategies:
Systematic review of experimental conditions:
Compare buffer compositions, detergents, and protein constructs used across studies
Assess expression systems and purification protocols for differences
Evaluate the integrity and quality of protein preparations in each study
Biological variability assessment:
Determine if strain-specific differences exist in YPK_4186 sequence or expression
Consider host cell variability in interaction studies
Assess if contradictions correlate with different experimental models (in vitro vs. in vivo)
Technical validation:
Reproduce key experiments using identical protocols across different laboratories
Implement blind experimental design to reduce observer bias
Use multiple orthogonal techniques to measure the same parameter
Statistical reanalysis:
Perform meta-analysis of available data when appropriate
Consider sample sizes and statistical power in contradictory studies
Implement rigorous statistical methods appropriate for the specific data type
Targeted hypothesis testing:
Design experiments specifically aimed at resolving the contradiction
Create experimental conditions that bridge differences between contradictory studies
Test whether specific variables explain the observed contradictions
Computational modeling:
Develop mathematical models incorporating competing hypotheses
Use systems biology approaches to predict conditions under which different outcomes occur
Generate new hypotheses that might explain seemingly contradictory results
Expert consultation:
Organize focused discussions with researchers who produced contradictory results
Consider collaborative experiments between groups with differing results
Implement standardized protocols agreed upon by multiple research groups