PRM5 (Pheromone-regulated membrane protein 5) is a protein expressed in S. cerevisiae that is induced during the mating response. It belongs to a class of genes whose expression is upregulated following exposure to mating pheromones. Structurally, PRM5 is a 318-amino acid membrane protein that becomes expressed when haploid yeast cells are preparing for mating.
Research methodology to determine this:
Gene expression analysis using β-galactosidase reporter assays after pheromone treatment
Northern blot analysis comparing PRM5 mRNA levels in untreated and pheromone-treated cells
Fluorescence microscopy using GFP-tagged PRM5 to confirm membrane localization
PRM5 is part of a larger set of Factor-Induced Genes (FIG) that were initially discovered through transposon-tagging screens for pheromone-regulated genes . While many pheromone-induced genes have well-defined functions in the mating process, PRM5's precise role remains under investigation, with evidence suggesting involvement in cell wall remodeling during mating projection formation.
PRM5 expression is regulated through the well-characterized MAP kinase signaling cascade activated by pheromone binding to G protein-coupled receptors (GPCRs). When α-factor binds to the Ste2 receptor on MATa cells or a-factor binds to Ste3 on MATα cells, the signal is transduced through a heterotrimeric G protein complex and MAP kinase cascade .
The regulatory pathway follows this sequence:
Pheromone binds to receptor (Ste2 or Ste3)
G-protein dissociation activates the MAP kinase cascade
Signal transduction through Ste20→Ste11→Ste7→Fus3/Kss1
Activated Fus3/Kss1 phosphorylates the transcription factor Ste12
Ste12 binds to Pheromone Response Elements (PREs) in the PRM5 promoter
Transcriptional activation of PRM5
The PRM5 promoter contains one or more PRE sites with the consensus sequence TGAAACA . Experimental analysis of the PRM5 promoter region can be performed using:
Promoter truncation assays to identify minimal regions required for pheromone induction
Site-directed mutagenesis of putative PRE sites to confirm their functionality
Chromatin immunoprecipitation (ChIP) to verify Ste12 binding to the PRM5 promoter
Expressing and purifying membrane proteins like PRM5 requires specialized techniques:
Expression systems:
S. cerevisiae itself can serve as an expression host using episomal plasmids with galactose-inducible promoters (GAL1)
E. coli systems using codon-optimized sequences with affinity tags
Purification workflow:
Cell lysis and membrane fraction isolation through differential centrifugation
Membrane protein solubilization using appropriate detergents
Affinity chromatography utilizing His-tag or other fusion tags
Size exclusion chromatography for further purification
Validation of purified protein by western blotting and mass spectrometry
Buffer optimization considerations:
Use of glycerol (typically 50%) to stabilize the purified protein
Storage at -20°C for short-term or -80°C for extended periods
The recombinant protein is typically produced with fusion tags determined during the production process, and stored in Tris-based buffer with 50% glycerol optimized for protein stability .
PRM5's role in cell wall remodeling appears to be connected to the larger process of polarized growth during mating projection formation. This process involves:
Cell wall composition changes: During mating, the cell wall undergoes significant reorganization. The cell wall consists of:
| Component | Normal Cell Wall | During Mating Projection |
|---|---|---|
| β1,3-glucan | 50-55% | Locally remodeled |
| β1,6-glucan | 5-10% | Locally remodeled |
| Mannoproteins | 35-40% | Altered expression patterns |
| Chitin | 1-2% | Locally increased |
Signaling integration: PRM5 appears to function downstream of both the pheromone response pathway and the cell wall integrity (CWI) signaling system. The CWI pathway involves Rho1 activation of downstream effectors including:
Research methodologies to investigate PRM5's function:
Generate PRM5 deletion strains and analyze cell wall composition during mating
Perform genetic interaction screens with components of the cell wall integrity pathway
Use fluorescently tagged PRM5 to visualize localization during mating projection formation
Employ electron microscopy to analyze ultrastructural changes in PRM5 mutants
The involvement of PRM5 in both pheromone response and cell wall remodeling positions it at a critical intersection of two essential processes for successful mating.
Genetic interaction studies provide insights into the functional relationships between PRM5 and components of the cell wall integrity pathway. These studies typically involve:
Synthetic genetic array (SGA) analysis: Creating double mutants combining PRM5Δ with deletions of genes involved in cell wall integrity signaling.
Phenotypic screening: Testing growth under various stressors:
Cell wall stressors (Calcofluor White, Congo Red)
Heat stress
Pheromone treatment
Hypo-osmotic conditions
Suppressor screens: Identifying mutations that suppress phenotypes associated with PRM5 deletion.
Current evidence suggests genetic interactions between PRM5 and:
| Cell Wall Integrity Component | Genetic Interaction | Phenotypic Effect |
|---|---|---|
| Rho1 GTPase | Synthetic growth defect | Enhanced sensitivity to cell wall stress |
| Pkc1 | Mild synthetic phenotype | Increased sensitivity to pheromone |
| Mpk1/Slt2 (MAPK) | Synthetic phenotype | Defective projection formation |
| Fks1/2 (β1,3-glucan synthase) | Undetermined | Potential link through Rho1 |
Experimental approaches for investigating these interactions include:
Epistasis analysis by examining phenotypes of single and double mutants
Protein-protein interaction studies using co-immunoprecipitation or yeast two-hybrid
Phosphorylation state analysis of Mpk1 in PRM5Δ mutants under pheromone treatment
The interconnection between mating response and cell wall integrity pathways provides a fascinating area for studying pathway crosstalk in cellular processes.
CRISPR-Cas9 technology offers powerful approaches for studying PRM5 function in S. cerevisiae. Optimal implementation includes:
Guide RNA design considerations:
Select target sequences with minimal off-target effects
Target conserved functional domains
Consider the chromatin accessibility of target regions
Use S. cerevisiae-optimized CRISPR tools with appropriate promoters
Experimental strategies:
Gene knockout: Complete deletion of PRM5 to study null phenotype
Domain modification: Targeted mutations of specific protein domains
Tagging approaches: Integration of fluorescent tags or epitope tags for localization and interaction studies
Promoter engineering: Modification of PRM5 regulatory elements to alter expression patterns
Validation methods:
Sequencing to confirm genetic modifications
Western blotting to verify protein expression changes
RT-qPCR to measure transcript levels
Phenotypic analysis under pheromone-induced conditions
Specialized applications include:
Creating libraries of PRM5 variants with systematic mutations across the protein
CRISPRi approaches for tunable repression of PRM5
CRISPRa methods for enhanced expression to study overexpression phenotypes
This technology is particularly valuable for studying membrane proteins like PRM5, as it allows precise genetic modifications without the need for selection markers that might interfere with protein function.
Investigating PRM5 interactions requires specialized approaches for membrane proteins:
1. In vivo approaches:
Split-ubiquitin yeast two-hybrid system (specifically designed for membrane proteins)
Bimolecular fluorescence complementation (BiFC)
Förster resonance energy transfer (FRET) using appropriately tagged proteins
Proximity-dependent biotin identification (BioID) or TurboID
2. Biochemical methods:
Co-immunoprecipitation using mild detergents to maintain membrane protein interactions
Tandem affinity purification (TAP) with optimized conditions for membrane proteins
Chemical crosslinking followed by mass spectrometry (XL-MS)
3. High-throughput screening:
Synthetic genetic array (SGA) analysis to identify genetic interactions
Protein fragment complementation assays (PCA)
Data analysis and visualization:
| Approach | Advantages | Limitations | Best Applications |
|---|---|---|---|
| Split-ubiquitin Y2H | Designed for membrane proteins | False positives | Initial screening |
| Co-IP | Detects direct interactions | Requires good antibodies | Confirming interactions |
| BiFC/FRET | Visualizes interactions in situ | Technical complexity | Spatial information |
| XL-MS | Identifies interaction interfaces | Complex data analysis | Structural insights |
When investigating PRM5 interactions, focus on potential partners within:
Pheromone response pathway components
Cell wall biosynthesis machinery
Membrane trafficking systems
Polarized growth regulators
Computational prediction of interaction networks based on co-expression data, evolutionary conservation, and structural modeling can guide experimental approaches.
Evolutionary analysis of PRM5 across different S. cerevisiae strains reveals important insights about functional conservation and adaptation:
Comparative analysis approaches:
Sequence alignment of PRM5 from multiple strains to identify conserved domains
Expression analysis under pheromone treatment across diverse strains
Phenotypic comparison of mating efficiency and morphology
Key findings:
Sequence variation: Laboratory strains show less polymorphism in PRM5 compared to wild isolates, consistent with domestication bottlenecks
Expression differences: Wild strains often display more heterogeneous expression patterns
Functional conservation: Despite sequence variation, the pheromone-responsive regulation of PRM5 is highly conserved
Methodology for strain comparison:
Whole genome sequencing to identify PRM5 variants
Reciprocal hemizygosity analysis to test functional differences between alleles
Transcriptomics to compare expression patterns across strains
Quantitative phenotyping of mating response metrics
S. cerevisiae's rare sexual reproduction cycle in nature (estimated to occur only once every ~50,000 cell divisions ) suggests that genes involved in mating may be under different selective pressures in wild versus laboratory settings. Experimental approaches that incorporate both natural isolates and laboratory strains can provide a more comprehensive understanding of PRM5's evolutionary significance.
PRM5's potential relationship with actin cytoskeleton organization during polarized growth represents an important research direction:
Current evidence suggests:
Pheromone-induced polarized growth is an actin-dependent process involving proteins that also participate in budding (e.g., Spa2p, Pea2p, Bem1p, Tpm1p, and Cdc42p)
The Rho family of GTPases, particularly Rho1, controls cell wall integrity signaling and actin cytoskeleton organization
PRM5's induction during pheromone response coincides with cytoskeletal reorganization
Experimental approaches:
Cytoskeletal visualization: Fluorescent phalloidin staining to observe actin organization in PRM5Δ mutants during pheromone response
Live cell imaging: Time-lapse microscopy with tagged actin markers and PRM5-fluorescent protein fusions
Genetic interaction studies: Examining double mutants of PRM5 with actin regulatory proteins
Pharmacological perturbation: Testing sensitivity of PRM5Δ to actin-disrupting drugs like Latrunculin A
Potential mechanisms:
PRM5 may function downstream of Rho GTPases to coordinate cell wall remodeling with actin reorganization
PRM5 could serve as an adaptor linking plasma membrane-cell wall interactions with the actin cytoskeleton
PRM5 might participate in vesicle trafficking required for polarized growth
Understanding this relationship would contribute to our knowledge of how cells coordinate cytoskeletal organization with membrane expansion and cell wall remodeling during polarized growth processes.
Multi-omics integration provides powerful insights into PRM5 function within its broader cellular context:
Integrated experimental design:
RNA-seq: Transcriptome profiling of wild-type vs. PRM5Δ strains ± pheromone treatment
Ribosome profiling: Measurement of translational efficiency changes
Proteomics: Quantitative analysis of protein abundance changes
Phosphoproteomics: Identification of signaling changes in pathway components
Interactomics: Affinity purification-mass spectrometry to identify protein complexes
Data integration approaches:
Correlation analysis between transcript and protein levels
Pathway enrichment analysis across multiple data types
Network modeling to identify regulatory relationships
Time-course studies to capture dynamic responses
Sample experimental workflow:
| Approach | Sample Preparation | Analysis Method | Key Insights |
|---|---|---|---|
| RNA-seq | Total RNA from cells ± α-factor | DESeq2/EdgeR | Transcriptional changes |
| Proteomics | SILAC or TMT labeling | LC-MS/MS | Protein abundance changes |
| Phosphoproteomics | Phosphopeptide enrichment | LC-MS/MS | Signaling dynamics |
| ChIP-seq (Ste12) | Crosslinked chromatin | Peak calling | Direct targets |
Bioinformatic integration:
Use of shared identifiers across datasets
Normalization procedures to allow cross-platform comparison
Machine learning approaches to identify patterns across datasets
Visualization techniques (e.g., multi-omics heatmaps, integrated network diagrams)
This integrated approach can reveal disconnects between transcription and translation, identify post-transcriptional regulatory mechanisms, and place PRM5 in its proper cellular context more accurately than any single approach alone.
Achieving robust and reproducible induction of PRM5 requires careful experimental design:
Pheromone treatment protocols:
Strain selection: Use appropriate mating type (MATa for α-factor treatment, MATα for a-factor)
Cell density: Optimal results at OD600 of 0.2-0.4 (early-mid log phase)
Pheromone concentration:
For α-factor: 1-10 μM (typically 5 μM)
For synthetic a-factor: 50-200 nM
Incubation time: Peak expression typically occurs at 10-12 hours post-induction
Media considerations: Minimal media often provides cleaner results than rich media
Detection methods:
RT-qPCR: Most sensitive for transcript analysis
Recommended primers spanning exon junctions
Normalization to multiple reference genes (ACT1, TDH3)
Western blotting: For protein detection
Membrane fraction preparation crucial for accurate results
Appropriate detergent selection for membrane protein solubilization
Reporter constructs:
Fluorescence microscopy: For localization studies
C-terminal tagging preferable to N-terminal to avoid interfering with membrane insertion
Optimization techniques:
Time-course experiments to determine peak expression
Dose-response curves to identify optimal pheromone concentration
Comparison of different media compositions
Testing of cell-cycle synchronization to reduce heterogeneity
For reproducible results, standardization of pheromone preparation, consistent culture conditions, and appropriate controls (including pheromone-insensitive mutants like ste2Δ) are essential.
Membrane proteins like PRM5 present unique challenges for structural determination, requiring specialized approaches:
Sample preparation strategies:
Recombinant expression optimization:
Testing various fusion tags (His, GST, MBP) for improved solubility
Screening detergents for optimal extraction and stability
Considering lipid nanodisc reconstitution for native-like environment
Purification refinement:
Multi-step chromatography to achieve high purity
Monodispersity assessment by dynamic light scattering
Thermal stability assays to identify stabilizing conditions
Structural determination methods:
X-ray crystallography:
Lipidic cubic phase (LCP) crystallization for membrane proteins
Surface entropy reduction to promote crystal contacts
Heavy atom derivatization for phase determination
Cryo-electron microscopy:
Single particle analysis for purified protein
Direct imaging of PRM5 in membrane context
Classification algorithms to address conformational heterogeneity
NMR spectroscopy:
Selective isotope labeling to reduce spectral complexity
Solid-state NMR approaches for membrane-embedded protein
Analysis of protein dynamics in different conditions
Computational approaches:
Homology modeling based on related structures
Molecular dynamics simulations in membrane environment
Deep learning prediction using AlphaFold2 or RoseTTAFold
Functional validation:
Site-directed mutagenesis of predicted structural elements
Assays for protein-protein interactions before and after mutations
Correlation of structural features with phenotypic effects
Given the difficulties in membrane protein structural biology, integration of multiple complementary techniques often provides the most comprehensive understanding of structure-function relationships.
Creating functional fusion proteins with PRM5 requires careful design and validation:
Design considerations:
Fusion position:
C-terminal tags generally preserve membrane topology better than N-terminal
Internal tags at predicted loop regions may maintain function
Consider flexible linkers to minimize interference with folding
Tag selection:
Expression control:
Validation approaches:
Functionality tests:
Complementation of PRM5Δ phenotypes
Pheromone response assays
Mating efficiency quantification
Localization verification:
Co-localization with membrane markers
Fractionation studies to confirm membrane association
Protease protection assays to determine topology
Expression and stability assessment:
Western blotting to confirm correct size and expression levels
Cycloheximide chase to measure protein turnover rates
Flow cytometry for quantitative expression analysis
Troubleshooting strategies:
Modify linker length if fusion affects function
Test alternative tag positions if initial construct fails
Use split tag approaches if full fusion disrupts function
Consider dual tagging for different experimental applications
Proper validation ensures that findings obtained using fusion proteins accurately reflect native PRM5 function rather than artifacts of the experimental system.
Systems biology offers powerful frameworks for understanding PRM5 within the complex pheromone response network:
Quantitative modeling approaches:
Ordinary differential equations (ODEs): For deterministic modeling of signaling dynamics
Stochastic models: To capture cell-to-cell variability in response
Bayesian network inference: For identifying causal relationships
Flux balance analysis: To understand metabolic adjustments during pheromone response
Experimental data generation for model parameterization:
Dose-response measurements at multiple timepoints
Single-cell analysis of pathway activity using fluorescent reporters
Quantitative phosphoproteomics of pathway components
Perturbation analysis using inhibitors or genetic modifications
Network analysis frameworks:
Sensitivity analysis: Identifying parameters most affecting system behavior
Bifurcation analysis: Determining how system behavior changes qualitatively
Information theory metrics: Quantifying information transmission through pathways
Key questions addressable through systems approaches:
Experimental validation of model predictions:
Testing predicted genetic interactions
Measuring responses to dynamic pheromone inputs
Creating synthetic circuits to test network principles
Systems biology approaches are particularly valuable for understanding proteins like PRM5 that function within complex networks of interacting components and may have emergent properties not predictable from individual protein studies.
Understanding PRM5's evolutionary context provides insights into its fundamental functions:
Comparative genomics approaches:
Sequence homology analysis: Identifying PRM5 homologs across fungal species
Synteny analysis: Examining conservation of genomic context
Positive selection analysis: Investigating selective pressures on different domains
Current understanding of PRM5 conservation:
Present in closely related Saccharomyces species
More divergent in distant yeast species
Limited recognizable homology outside fungi
Possible functional homologs without sequence similarity
Experimental approaches for functional conservation:
Heterologous expression of PRM5 homologs in S. cerevisiae
Complementation testing of PRM5Δ with homologs
Comparative analysis of expression patterns across species
Testing conservation of protein-protein interactions
Evolutionary implications:
Mating systems vary considerably across fungi
Cell wall composition differences may drive co-evolution of proteins like PRM5
Laboratory strains represent only a fraction of natural diversity
Integration with reproductive biology:
The rarity of sexual reproduction in wild yeast (approximately once per 50,000 cell divisions ) suggests genes specifically involved in mating may experience different selective pressures than genes required for vegetative growth. This evolutionary perspective helps explain potential functional redundancy or specialization of proteins like PRM5.
Synthetic biology offers innovative strategies for understanding and engineering PRM5 function:
Synthetic circuit design:
Rewiring PRM5 regulation:
Placing PRM5 under control of orthogonal inducible systems
Engineering synthetic feedback loops to modulate expression
Creating AND/OR logic gates incorporating PRM5
Domain swapping experiments:
Creating chimeric proteins between PRM5 and related proteins
Systematically replacing domains to map function
Testing heterologous domains from other species
Optogenetic control:
Light-inducible expression systems for temporal control
Optogenetic control of localization or protein interactions
Combining with microfluidics for precise spatiotemporal regulation
Applications in biosensor development:
Using PRM5 promoter-reporter fusions as pheromone biosensors
Engineering cells with modified PRM5 pathways for environmental sensing
Creating synthetic consortia with communication systems based on pheromone signaling
Minimal system reconstruction:
Defining the minimal components needed for PRM5 function
Bottom-up reconstruction of simplified signaling modules
Testing in orthogonal cellular contexts or cell-free systems
CRISPR-based approaches:
CRISPRi for tunable repression of PRM5 or related genes
CRISPR activation for enhanced expression
Base editing for precise modification of key residues
Prime editing for more complex sequence modifications
These synthetic biology approaches move beyond observational science to test hypotheses through rational engineering and provide tools for biotechnological applications leveraging pheromone response systems.
As a membrane protein, PRM5's interactions with lipids are crucial for its function but challenging to study:
Technical challenges:
Maintaining native lipid environments during purification
Distinguishing specific from non-specific lipid interactions
Capturing dynamic interactions that may be transient
Reconstituting appropriate membrane environments in vitro
Advanced methodologies:
Lipidomics approaches:
Mass spectrometry-based analysis of co-purifying lipids
Stable isotope labeling of lipids for quantitative analysis
Lipid crosslinking followed by mass spectrometry
Biophysical techniques:
Fluorescence anisotropy to measure lipid binding
Surface plasmon resonance with lipid nanodiscs
Hydrogen-deuterium exchange mass spectrometry
Electron paramagnetic resonance spectroscopy
Microscopy approaches:
Super-resolution imaging of membrane microdomains
Fluorescence correlation spectroscopy for dynamics
Single-molecule tracking in living cells
Computational methods:
Molecular dynamics simulations of protein-lipid systems
Coarse-grained models for long timescale events
Machine learning prediction of lipid binding sites
Sample preparation innovations:
Nanodiscs for controlled lipid composition
Native nanodiscs preserving endogenous lipids
Styrene maleic acid lipid particles (SMALPs)
Cell-derived giant plasma membrane vesicles
Functional validation approaches:
Mutagenesis of predicted lipid-binding regions
Manipulation of cellular lipid composition
Acute lipid perturbation using enzymatic methods
Understanding the lipid interactions of PRM5 could reveal mechanisms by which membrane composition influences pheromone signaling and cell wall remodeling during mating.
PRM5's activity may be regulated beyond transcriptional control through various post-translational mechanisms:
Types of potential modifications:
Phosphorylation: Regulation by MAP kinases or other signaling kinases
Ubiquitination: Controlling protein stability and turnover
Glycosylation: Affecting protein folding or interaction capabilities
Proteolytic processing: Potential activation or inactivation mechanisms
Experimental approaches:
Phosphoproteomic analysis:
Mass spectrometry to identify phosphorylation sites
Phospho-specific antibodies for targeted detection
Phosphomimetic and phosphodead mutations for functional studies
Protein stability assessment:
Cycloheximide chase experiments to measure half-life
Proteasome inhibition to test degradation pathways
Ubiquitin pulldown assays to detect ubiquitination
Glycosylation analysis:
Glycosidase treatments to remove specific modifications
Lectin binding assays to detect glycan structures
Mass spectrometry to characterize glycan composition
Regulated proteolysis studies:
Western blotting to detect processing events
N-terminal sequencing to identify cleavage sites
Protease inhibitor studies to identify responsible enzymes
Potential functional consequences:
Temporal regulation of activity following pheromone exposure
Spatial control of function within specific membrane domains
Integration of signals from multiple pathways
Feedback regulation to modulate response magnitude or duration
Understanding the post-translational regulation of PRM5 would provide insights into how yeast cells precisely control the timing and magnitude of cellular responses during the complex process of mating.
Reconstitution of PRM5 in artificial membrane systems provides powerful approaches for biophysical characterization:
Reconstitution platforms:
Liposomes: Spherical lipid bilayers for functional assays
Proteoliposomes: Liposomes containing incorporated PRM5
Nanodiscs: Disc-shaped lipid bilayers stabilized by scaffold proteins
Planar lipid bilayers: For electrical measurements
Giant unilamellar vesicles (GUVs): Cell-sized vesicles for microscopy
Optimization parameters:
Lipid composition matching yeast membranes
Protein:lipid ratios for optimal incorporation
Detergent removal methods (dialysis, biobeads, gel filtration)
Buffer conditions preserving protein stability
Functional validation approaches:
Circular dichroism to confirm secondary structure
Fluorescence assays to monitor conformational changes
Binding assays with interaction partners
Activity assays relevant to hypothesized functions
Advanced biophysical techniques applicable to reconstituted PRM5:
Structural methods:
Cryo-EM of proteoliposomes or nanodiscs
Solid-state NMR for membrane-embedded structure
X-ray and neutron reflectometry for membrane orientation
Dynamic measurements:
Fluorescence recovery after photobleaching (FRAP)
Single-molecule tracking in GUVs
Fluorescence correlation spectroscopy for diffusion properties
Interaction analyses:
Surface plasmon resonance with immobilized nanodiscs
Microscale thermophoresis for binding affinity
Isothermal titration calorimetry for thermodynamic parameters
These reconstitution systems allow controlled manipulation of the membrane environment to determine how lipid composition, membrane curvature, or tension affect PRM5 function - parameters difficult to control in living cells.
Based on current knowledge, several promising research directions emerge:
1. Integration of signaling networks:
How does PRM5 function as a node connecting pheromone response and cell wall integrity?
What is the interaction network surrounding PRM5 during mating?
How does PRM5 contribute to signal specificity versus crosstalk?
2. Structural and mechanistic studies:
What is the three-dimensional structure of PRM5?
How does the protein topology relate to its function?
What specific biochemical activities does PRM5 possess?
3. Cell biological investigations:
What is the precise subcellular localization of PRM5 during mating?
How does PRM5 contribute to membrane and cell wall remodeling?
Does PRM5 play a role in membrane domain organization?
4. Evolutionary perspectives:
How is PRM5 function conserved across fungal species?
Are there analogous systems in higher eukaryotes?
How has PRM5 co-evolved with other components of the mating system?
5. Biotechnological applications:
Can PRM5-based systems be engineered for biosensing applications?
Does PRM5 represent a potential antifungal target?
Can knowledge of PRM5 improve heterologous protein production systems?
6. Single-cell analysis:
How variable is PRM5 expression between individual cells?
How does this variation affect mating efficiency?
What mechanisms buffer or amplify stochastic effects in expression?