This bifunctional protein plays a critical role in lysophospholipid acylation. It facilitates the transfer of fatty acids to the 1-position of lysophospholipids via an enzyme-bound acyl-ACP intermediate, requiring ATP and magnesium. Physiologically, it regenerates phosphatidylethanolamine from 2-acyl-glycero-3-phosphoethanolamine (2-acyl-GPE), a byproduct of transacylation reactions or phospholipase A1 degradation.
KEGG: ypb:YPTS_3164
The bifunctional protein aas in Y. pseudotuberculosis is a membrane-associated protein with dual enzymatic activities. It functions in bacterial membrane homeostasis and phospholipid metabolism, playing roles in both membrane biogenesis and remodeling. The protein demonstrates 2-acylglycerophosphoethanolamine acyltransferase and acyl-acyl carrier protein synthetase activities, enabling it to participate in phospholipid recycling pathways that are critical for bacterial membrane integrity and adaptation to environmental stresses .
Research methods to characterize these functions include:
Site-directed mutagenesis to identify catalytic residues
Radiolabeled substrate assays to measure enzymatic activity
Membrane fraction isolation and activity reconstitution
Complementation studies in bacterial knockout strains
The aas protein contains distinct domains that confer its bifunctional properties:
An N-terminal domain with multiple transmembrane segments anchoring the protein to the bacterial membrane
A central acyltransferase domain responsible for lipid remodeling
A C-terminal acyl-ACP synthetase domain that activates fatty acids
These domains work cooperatively but maintain structural independence, allowing the protein to coordinate membrane lipid metabolism through dual catalytic activities. Structural analysis approaches include X-ray crystallography of soluble domains, cryo-EM for membrane-embedded regions, and molecular dynamics simulations to understand interdomain interactions .
The optimal expression systems for producing recombinant Y. pseudotuberculosis aas protein depend on research objectives:
| Expression System | Advantages | Challenges | Best For |
|---|---|---|---|
| E. coli | High yield, rapid growth, economical | Membrane protein solubility issues, potential toxicity | Initial screening, mutational studies |
| Yeast (P. pastoris) | Post-translational processing, higher eukaryotic-like modifications | Longer process time, complex media | Functional studies requiring proper folding |
| Insect cells | Better membrane protein expression, chaperone availability | Higher cost, technical complexity | Structural studies requiring native conformation |
| Cell-free systems | Avoids toxicity issues, rapid | Lower yield, expensive | Toxic variants, rapid screening |
For membrane proteins like aas, specialized E. coli strains (C41, C43) may provide better expression outcomes by managing toxicity. Codon optimization for the expression host and incorporation of Ala or Ser at the +2 position after the initiation codon can increase expression yields by up to 10-fold .
To optimize solubility and yield of this challenging membrane-associated protein:
Fusion tags selection:
N-terminal solubility tags (MBP, SUMO, TrxA) to improve folding
C-terminal affinity tags (His6) for purification
Careful consideration of tag removal strategies
Expression conditions optimization:
Lower temperature cultivation (16-20°C) to slow folding
Reduced inducer concentration to prevent aggregation
Addition of membrane-mimicking detergents during cell lysis
Protein engineering approaches:
Domain-based expression for difficult regions
Deletion of transmembrane regions for soluble domain studies
Surface entropy reduction mutagenesis
Media formulation:
Auto-induction media for controlled expression
Supplementation with phospholipids or membrane components
Implementing a high-throughput process development (HTPD) strategy allows for parallel screening of multiple parameters to rapidly identify optimal conditions .
Distinguishing between the dual catalytic activities requires specialized biochemical approaches:
Domain-specific mutants:
Generate point mutations in catalytic residues of each domain
Express and purify variants with single active domains
Compare activities of wild-type vs. mutant proteins
Substrate specificity analysis:
Acyltransferase activity: monitored using fluorescent phospholipid analogs
Acyl-ACP synthetase activity: measured through ATP consumption or radiolabeled fatty acid incorporation
Sequential reaction blocking:
Utilize domain-specific inhibitors
Employ competing substrates to selectively impede one activity
Design reaction conditions favoring single activity assessment
Coupled enzyme assays:
Develop spectrophotometric assays linking activity to measurable outputs
Employ biosensors for real-time activity monitoring
These methods allow for quantitative assessment of each function independently, enabling structure-function correlation studies .
Advanced approaches for studying membrane association include:
Nanodiscs and liposome reconstitution:
Incorporation of purified protein into synthetic lipid bilayers
Assessment of activity in membrane-mimetic environments
Evaluation of lipid preferences for optimal function
Fluorescence microscopy techniques:
FRET analysis of protein-lipid interactions
Single-molecule tracking in model membranes
Super-resolution imaging of membrane localization
Neutron reflectometry and scattering:
Determination of protein orientation in membranes
Measurement of penetration depth into lipid bilayers
Analysis of protein-induced membrane perturbations
Atomic force microscopy:
Topographical mapping of protein in membranes
Force spectroscopy to measure membrane-protein interactions
Time-lapse imaging of functional dynamics
These techniques provide complementary data that collectively reveal how the protein interfaces with bacterial membranes in its native environment .
The aas protein contributes to Y. pseudotuberculosis pathogenesis through multiple mechanisms:
Membrane adaptation during infection:
Modifies phospholipid composition in response to host environments
Facilitates resistance to host-derived antimicrobial peptides
Contributes to membrane integrity under stress conditions
Metabolic adaptation:
Enables recycling of fatty acids from damaged membranes
Conserves energy during nutrient limitation in host tissues
Supports membrane remodeling during temperature transitions
Virulence factor regulation:
Indirectly affects membrane-associated virulence factors
May influence type III secretion system function through membrane composition
Potentially interacts with the virulence plasmid pYV components
Research methodologies to establish these connections include infection models with aas-deficient mutants, transcriptomic profiling during host cell interaction, and membrane composition analysis during various infection stages .
Given the reported cases of Y. pseudotuberculosis septicemia in immunocompromised patients, particularly those with HIV infection , several methodological approaches can investigate the relationship between aas function and bacterial survival:
In vitro immune cell interaction studies:
Bacterial survival assays in primary human macrophages
Comparison of wild-type vs. aas mutant phagocytosis resistance
Assessment of membrane integrity under oxidative stress conditions
Ex vivo tissue modeling:
Organoid cultures mimicking intestinal or lymphatic tissues
Bacterial transcriptomics to analyze aas expression in tissue environments
Competitive infection experiments with tagged bacterial strains
Animal models of immunodeficiency:
Humanized mouse models with controlled immune deficits
Sequential sampling to track membrane adaptation during infection
Histopathological analysis of tissue tropism correlating with aas expression
Clinical isolate comparative genomics:
Analysis of aas sequence variations among clinical isolates
Correlation of expression levels with clinical outcomes
Functional genomics to identify compensatory pathways
These approaches help establish whether aas contributes to the particular virulence of Y. pseudotuberculosis in immunocompromised hosts, potentially identifying new therapeutic targets .
Synthetic biology offers powerful tools to engineer the bifunctional properties of aas:
Domain shuffling and protein chimeras:
Creation of hybrid proteins with combined functionalities
Fusion of aas domains with reporter proteins for activity monitoring
Development of orthogonal bifunctional systems for metabolic engineering
Activity tuning through directed evolution:
Error-prone PCR to generate variant libraries
Activity-based screening methods to identify improved variants
Compartmentalized self-replication techniques for membrane protein evolution
Computational design approaches:
In silico modeling of substrate binding sites
Rational design of altered substrate specificity
Prediction of allosteric regulation mechanisms
Optogenetic and chemogenetic control:
Integration of light-sensitive domains for activity modulation
Development of chemically-inducible dimerization systems
Creation of conditionally active protein variants
These engineering approaches enable the development of research tools for studying membrane biology and potentially therapeutic applications targeting bacterial membrane homeostasis .
When designing experiments to study interactions between aas and other virulence factors, researchers should consider:
Temporal expression dynamics:
Coordinate measurement of aas and virulence factor expression
Time-course analyses during infection progression
Inducible expression systems for controlled protein production
Spatial localization in bacteria:
Membrane microdomain analysis through super-resolution microscopy
Co-localization studies with fluorescently tagged proteins
Biochemical fractionation to identify protein-protein interactions
Functional dependencies:
Construction of conditional expression strains
Epistasis analysis through double mutant characterization
Protein-protein interaction mapping using bacterial two-hybrid systems
Environmental context:
Simulation of host microenvironments (pH, temperature, nutrients)
Host cell co-culture systems for relevant biological context
In vivo imaging of bacterial protein dynamics during infection
Data integration approaches:
Multi-omics integration (proteomics, lipidomics, transcriptomics)
Network analysis of virulence factor dependencies
Mathematical modeling of membrane dynamics and virulence
These experimental considerations help establish causal relationships between membrane homeostasis and virulence mechanisms, particularly in the context of the virulence plasmid pYV and its encoded type III secretion system .
Purifying active recombinant aas protein presents several challenges due to its membrane association:
| Challenge | Root Cause | Solution Strategies |
|---|---|---|
| Low expression yield | Toxicity, membrane insertion issues | Use tight expression control (e.g., T7lac), C41/C43 E. coli strains |
| Protein aggregation | Hydrophobic domains, misfolding | Include stabilizing additives (glycerol, specific detergents), reduce expression temperature |
| Loss of activity during purification | Detergent-mediated denaturation | Screen detergent panel, use milder alternatives (SMALPs, nanodiscs), develop detergent-free methods |
| Multiple conformational states | Inherent protein flexibility | Add stabilizing ligands during purification, perform negative-stain EM to assess homogeneity |
| Poor stability of purified protein | Loss of native membrane environment | Reconstitute in proteoliposomes, optimize buffer conditions through thermal shift assays |
Implementation of high-throughput screening approaches allows systematic testing of conditions that preserve both acyltransferase and acyl-ACP synthetase activities after purification. For structural studies, limited proteolysis followed by mass spectrometry can identify stable domains suitable for crystallization .
Developing reliable functional assays for both activities requires careful consideration of reaction conditions:
Acyltransferase activity assays:
Radioactive assays: [14C]-labeled lysophospholipid substrate incorporation
Fluorescence-based: FRET-labeled phospholipid analogs
Coupled enzyme systems: linking acyl transfer to NAD(P)H consumption
High-throughput: Colorimetric detection of released products
Acyl-ACP synthetase activity assays:
ATP consumption measurement via luciferase-coupled assay
AMP formation detection through coupled enzyme systems
Direct monitoring of acylated ACP by gel shift or mass spectrometry
Isothermal titration calorimetry for binding energetics
Assay validation approaches:
Use of specific inhibitors to confirm activity specificity
Controls with catalytically inactive mutants
Correlation of activity with protein concentration
Assessment of kinetic parameters (Km, Vmax, kcat)
Scaling considerations:
Miniaturization for 96/384-well format compatibility
Automation of reaction setup and measurement
Development of continuous rather than endpoint assays
Statistical validation for reproducibility
These assays enable quantitative assessment of structure-function relationships and provide tools for inhibitor screening that may lead to new antimicrobial strategies .
Understanding the aas protein can significantly advance knowledge of Y. pseudotuberculosis pathogenesis in immunocompromised patients through several research avenues:
Membrane adaptation mechanisms:
Analysis of membrane composition changes in bacterial isolates from immunocompromised patients
Correlation between aas activity levels and bacterial persistence
Investigation of membrane remodeling as a stress response to host immunity
Host-pathogen interface studies:
Examination of aas-dependent resistance to host antimicrobial peptides
Analysis of membrane modifications that evade immune recognition
Investigation of phospholipid metabolism as a virulence determinant
Therapeutic targeting approaches:
Identification of aas inhibitors that synergize with compromised immunity
Development of membrane-targeted therapeutics specific to pathogenic Yersinia
Design of combination therapies addressing membrane homeostasis disruption
Diagnostic applications:
Monitoring of aas expression as a marker of active infection
Development of molecular diagnostics targeting aas sequence variants
Correlation of aas activity with clinical outcomes
Given the documented cases of Y. pseudotuberculosis septicemia in HIV-positive patients , research into aas function may reveal specific adaptations that enable bacterial survival in immunocompromised hosts and provide new therapeutic approaches for these vulnerable populations.
To investigate potential interactions between the aas protein and pYV virulence plasmid components, researchers can employ these methodological approaches:
Protein-protein interaction detection:
Bacterial two-hybrid screening against pYV-encoded proteins
Co-immunoprecipitation with tagged aas protein
Cross-linking mass spectrometry to capture transient interactions
Surface plasmon resonance for direct binding assessment
Functional genomics approaches:
Transcriptomic analysis of pYV gene expression in aas mutants
Suppressor mutation screening to identify genetic interactions
Synthetic lethality analysis between aas and pYV components
CRISPRi knockdown of aas during activation of virulence mechanisms
Spatial organization studies:
Fluorescence microscopy to track co-localization of aas with T3SS components
Super-resolution imaging of membrane domains during virulence activation
Biochemical fractionation to identify membrane microdomains containing both elements
Electron microscopy to visualize membrane architecture at injection sites
Functional outcome measurements:
Type III secretion efficiency in aas mutants vs. wild-type
Impact of altered membrane composition on effector translocation
Assessment of Yop delivery into host cells with manipulated aas expression
These methodologies can determine whether aas-mediated membrane homeostasis directly or indirectly affects the function of the T3SS and other virulence mechanisms encoded by the pYV plasmid .
Comparative analysis of aas proteins across Yersinia species reveals evolutionary insights:
| Yersinia Species | Key aas Features | Functional Differences | Evolutionary Significance |
|---|---|---|---|
| Y. pseudotuberculosis | Complete bifunctional domain structure | Balanced dual activity, adaptation to diverse environments | Ancestral form, likely represents original function |
| Y. pestis | High sequence conservation with Y. pseudotuberculosis | Potential activity shifts related to vector transmission | Recent divergence, specialized for flea-mammal cycle |
| Y. enterocolitica | More divergent sequence | Modified substrate specificity for intestinal niche | Independent evolutionary path, specialized for enteric survival |
| Environmental Yersinia spp. | Greater sequence diversity | Adapted to environmental lipid sources | Represent diverse evolutionary pressures in non-pathogenic niches |
Research methodologies for comparative analysis include:
Heterologous expression and functional complementation
Domain swapping between species variants
Phylogenetic analysis correlated with functional characterization
Structural homology modeling and molecular dynamics simulations
These comparative approaches can reveal how aas adaptation has contributed to the divergent evolution of pathogenic Yersinia species from common ancestors .
To establish correlation between aas function and serotype-specific virulence, a comprehensive experimental design would include:
Systematic strain collection and categorization:
Obtain clinical isolates representing all major serotypes
Document virulence phenotypes in standardized infection models
Sequence aas genes to identify serotype-specific variations
Structure-function analysis across serotypes:
Express and purify aas proteins from different serotypes
Compare biochemical activities using standardized assays
Analyze membrane lipid profiles associated with each serotype
Genetic complementation experiments:
Generate aas knockout strains in multiple serotype backgrounds
Cross-complement with aas variants from different serotypes
Assess restoration of virulence phenotypes
Host-interaction phenotyping:
Compare serotype-specific membrane properties during host cell contact
Analyze aas expression during infection across serotypes
Measure immune evasion capabilities correlated with aas variants
Statistical analysis and modeling:
Multivariate analysis to correlate aas sequence/activity with virulence metrics
Machine learning approaches to identify predictive features
Population genetics analysis of aas evolution within serotypes
This research design would enable statistical determination of whether serotype IB-specific features of the aas protein contribute to distinctive virulence characteristics compared to other Y. pseudotuberculosis serotypes .