KEGG: cim:CIMG_02483
STRING: 246410.XP_001248712.1
For optimal stability and activity preservation of recombinant YME2 protein, the following methodological approach is recommended:
Initial storage: Store lyophilized powder at -20°C to -80°C upon receipt .
Reconstitution protocol:
Long-term storage: Prepare aliquots and store at -20°C/-80°C in Tris/PBS-based buffer (pH 8.0) containing 6% trehalose
Stability considerations: Avoid repeated freeze-thaw cycles as they significantly decrease protein stability and activity
The addition of trehalose is particularly important as this disaccharide acts as a cryoprotectant, preventing protein denaturation during freeze-thaw cycles by stabilizing protein structure through hydrogen bonding with polar residues.
While the search results don't directly compare YME2 between the two Coccidioides species, we can apply the methodological approaches used to differentiate these closely related fungi:
To specifically characterize differences in YME2 between these species, researchers should consider:
Comparative sequence analysis of YME2 genes from both species
Expression profiling under various environmental conditions
Functional complementation studies to assess interspecies compatibility
For detecting YME2 expression in clinical samples, a multi-tiered approach is recommended:
Real-time quantitative PCR (RT-qPCR):
Design primers specific to YME2 gene regions conserved across Coccidioides species
Utilize TaqMan chemistry with fluorescent probes for increased specificity
Establish detection thresholds (approximately 10 genome copies or 0.1 pg gDNA)
Include internal amplification controls to identify PCR inhibition
Digital droplet PCR (ddPCR):
Recommended for low-abundance samples where absolute quantification is necessary
Provides enhanced sensitivity for detecting YME2 in complex clinical matrices
Targeted proteomics:
Selected Reaction Monitoring (SRM) mass spectrometry for detection of YME2-specific peptides
Requires prior development of specific transitions for YME2 peptides
Validation approaches:
To systematically investigate the role of YME2 in C. immitis pathogenesis, an integrated experimental strategy comprising the following methodological components is recommended:
Genetic Manipulation Approaches:
CRISPR-Cas9 gene editing:
Design sgRNAs targeting multiple sites within the YME2 gene
Optimize transformation protocols for Coccidioides (challenging due to its biosafety level)
Generate knockout, knockdown, and site-directed mutants
Validate modifications by sequencing and expression analysis
Conditional expression systems:
Develop tetracycline-inducible or repressible YME2 constructs
Engineer strains with tagged versions (GFP, HA, FLAG) for localization and pull-down studies
Functional Analysis Methods:
Virulence assessment in animal models:
Compare wild-type and YME2-modified strains in murine models
Quantify fungal burden, inflammatory markers, and survival rates
Implement tissue-specific examination of YME2 expression during infection
Mitochondrial function assays:
Measure oxygen consumption rates, ATP production, and membrane potential
Assess mitochondrial morphology in YME2-deficient strains using fluorescence microscopy
Evaluate mitochondrial stress responses and their relationship to virulence
Host-pathogen interaction studies:
Co-culture YME2-modified strains with human macrophages and epithelial cells
Quantify phagocytosis rates, intracellular survival, and cytokine responses
Perform transcriptomic analysis of host cells upon exposure to wild-type vs. modified strains
Structural Biology Approaches:
Protein-protein interaction mapping:
Use yeast two-hybrid or proximity labeling methods (BioID, APEX)
Perform co-immunoprecipitation with subsequent mass spectrometry analysis
Validate key interactions with bimolecular fluorescence complementation
High-resolution structural analysis:
Express and purify domains of YME2 for crystallization trials
Employ cryo-EM for larger complexes involving YME2
Use hydrogen-deuterium exchange mass spectrometry to map functional regions
For researchers developing optimized PCR protocols to distinguish Coccidioides species in complex clinical samples, the following methodological framework is essential:
Primer and Probe Design Strategy:
Target selection:
Probe chemistry optimization:
Assay Development Parameters:
Validation Approach:
Analytical validation:
Clinical validation:
Test with diverse sample types (CSF, pleural fluid, BAL, tissue)
Compare against culture and serological methods
Evaluate performance in specimens with mixed microbial populations
Continuous improvement:
Monitor for emerging genetic variants that may affect primer binding
Incorporate advances in sample preparation technologies
Consider integration with isothermal amplification for point-of-care applications
The distinctive geographic distribution patterns of Coccidioides species (with C. immitis primarily in California and C. posadasii more widely distributed throughout the southwestern US, Mexico, and parts of South America) may be partially explained by mechanisms involving YME2 function:
Hypothesized Mechanisms and Research Approaches:
Environmental adaptation hypothesis:
YME2's role in mitochondrial function may contribute to adaptation to specific environmental stresses
Research approach: Compare YME2 expression and activity across isolates from different geographic regions under varying temperature, humidity, and soil composition conditions
Methodology: RNA-seq and proteomics of environmental samples with controlled variable manipulation
Host-specificity mechanisms:
YME2 may influence interaction with different host species prevalent in various geographic regions
Research approach: Test C. immitis and C. posadasii strains with wild-type and modified YME2 in diverse host cell models
Methodology: Infection models using cell lines derived from different host species indigenous to endemic regions
Genetic drift and selection pressure:
YME2 sequence variations may reflect evolutionary divergence under different selection pressures
Research approach: Perform population genetics analysis of YME2 sequence from geographically diverse isolates
Methodology: Whole genome sequencing with focused analysis of YME2 locus and surrounding genomic regions
Evidence from Distribution Studies:
The retrospective analysis of clinical isolates revealed:
168 isolates of C. posadasii compared to 30 isolates of C. immitis from human cases
Geographic anomalies: Four C. posadasii isolates were identified from California, where C. immitis is expected to predominate
Animal infections: All eight primary samples from animals (rhesus monkey and rhinoceros) were confirmed as C. posadasii
These findings suggest complex distribution patterns that warrant detailed investigation of molecular determinants, potentially including YME2's role in environmental fitness and host adaptation.
To elucidate the structural basis of YME2 function, a comprehensive structural biology workflow is recommended:
Computational Structure Prediction and Analysis:
Sequence-based predictions:
Apply homology modeling using related proteins with known structures
Perform ab initio modeling for unique domains without homologs
Predict post-translational modifications and their effects on structure
Molecular dynamics simulations:
Simulate protein behavior in membrane environments
Model conformational changes upon substrate binding
Identify critical residues for function through in silico mutagenesis
Experimental Structure Determination:
Structure-Function Analysis:
Site-directed mutagenesis:
Target conserved residues identified from sequence analysis
Focus on predicted active sites and interaction interfaces
Generate systematic alanine scanning libraries
Functional reconstitution:
Develop in vitro assays for specific YME2 activities
Correlate structural features with biochemical functions
Assess the impact of disease-associated mutations
When encountering difficulties with recombinant YME2 expression and purification, researchers should systematically implement the following troubleshooting methodology:
Expression Optimization Strategy:
| Challenge | Methodological Solution | Expected Outcome |
|---|---|---|
| Low expression levels | Test multiple promoter systems (T7, tac, araBAD) | Identify optimal expression control for YME2 |
| Protein insolubility | Express with solubility tags (MBP, SUMO, TrxA) | Improve soluble fraction yield by 30-50% |
| Proteolytic degradation | Co-express with chaperones (GroEL/ES, DnaK) | Reduce degradation and improve full-length yield |
| Toxicity to host cells | Use tight expression control and lower temperatures (16-20°C) | Balance expression level with cell viability |
Purification Strategy Optimization:
Initial capture conditions:
Optimize imidazole concentration in binding and wash buffers
Test range of pH conditions (7.0-8.5) for optimal His-tag binding
Evaluate different metal ions (Ni²⁺, Co²⁺, Cu²⁺) for affinity chromatography
Buffer optimization:
Advanced purification steps:
Implement ion exchange chromatography for higher purity
Apply size exclusion chromatography to remove aggregates
Consider affinity tag removal and subsequent polishing steps
Quality control checkpoints:
When designing experiments to investigate YME2's role in Coccidioides pathogenesis, researchers should consider this comprehensive experimental design framework:
Experimental Controls and Variables:
Essential controls:
Wild-type strain (positive control)
YME2 knockout/knockdown strain
Complemented strain (knockout with reintroduced YME2)
Heterologous expression (YME2 in non-pathogenic model)
Critical variables to monitor:
Growth conditions (temperature, pH, oxygen levels)
Host cell types and activation states
Infection time course points
Animal model genetic background
Biosafety and Containment Considerations:
Biosafety level requirements:
Work with Coccidioides requires BSL-3 containment
Develop surrogate models in related but less pathogenic fungi
Establish clear protocols for sample inactivation and transfer
Alternative approaches for lower containment levels:
Use of heterologous expression in Saccharomyces cerevisiae
Cell-free protein synthesis for biochemical studies
Computational modeling and simulation
Specific Experimental Design Elements:
| Research Question | Recommended Approach | Key Controls/Considerations |
|---|---|---|
| Does YME2 contribute to environmental stress responses? | Compare growth of WT and YME2-mutant strains under various stress conditions | Include oxidative, temperature, and osmotic stresses; measure mitochondrial function parameters |
| Is YME2 required for host cell invasion? | Quantify invasion rates of epithelial cells using fluorescence microscopy | Control for differences in growth rates; include complemented strain |
| How does YME2 affect fungal morphology changes? | Monitor spherule formation in tissue models | Time-lapse imaging; quantitative morphometric analysis |
| What host immune pathways interact with YME2? | Compare host transcriptional responses to WT vs. YME2-mutant strains | Include multiple time points; use pathway analysis tools |
Analytical Framework:
Data integration approach:
Combine transcriptomic, proteomic, and metabolomic data
Develop computational models of YME2's role in cellular networks
Correlate molecular findings with phenotypic observations
Statistical considerations:
Conduct power analyses to determine appropriate sample sizes
Apply correction for multiple comparisons in large-scale data
Use appropriate statistical tests for data distribution types
The potential exploitation of YME2 for novel diagnostic approaches for coccidioidomycosis can be systematically explored through the following research strategy:
Diagnostic Target Assessment:
YME2 as a direct detection target:
Evaluate YME2 gene conservation across clinical isolates
Determine expression levels during different infection stages
Assess specificity compared to other fungal pathogens
YME2 as an antigenic target:
Screen for immunodominant epitopes within YME2 sequence
Evaluate serological response to YME2 in patient cohorts
Compare with current diagnostic antigens (e.g., proline-rich antigen)
Technological Platforms for Development:
Validation Strategy:
Analytical validation:
Determine limit of detection in various clinical matrices
Assess cross-reactivity with other fungal and bacterial pathogens
Evaluate reproducibility across different laboratory settings
Clinical validation:
Test retrospective samples with confirmed diagnosis
Perform prospective studies in endemic regions
Compare performance against current gold standard methods
The duplex real-time PCR approach that successfully distinguishes C. immitis and C. posadasii provides a methodological framework that could be adapted for YME2-based diagnostics, with demonstrated sensitivity reaching approximately ten genome copies .
To elucidate the evolutionary history and functional divergence of YME2 across fungal pathogens, the following comparative genomics methodology is recommended:
Sequence-Based Evolutionary Analysis:
Homology identification:
Perform reciprocal BLAST searches across fungal genomes
Apply hidden Markov model (HMM) profiles for sensitive detection
Identify orthologs and paralogs of YME2 across fungal kingdom
Phylogenetic reconstruction:
Align sequences using structure-aware methods
Employ maximum likelihood and Bayesian inference approaches
Test alternative evolutionary models and tree topologies
Selection pressure analysis:
Calculate dN/dS ratios to identify signatures of selection
Perform branch-site tests for lineage-specific selection
Map selection signatures onto protein structural models
Functional Divergence Assessment:
Domain architecture comparison:
Identify conserved and lineage-specific domains
Map sequence variations onto structural models
Correlate domain changes with ecological niches
Regulatory element analysis:
Compare promoter regions across species
Identify conserved transcription factor binding sites
Correlate regulatory differences with expression patterns
Integration with Biological Context:
Correlation with pathogenicity:
Compare YME2 sequence features between pathogenic and non-pathogenic fungi
Identify YME2 variations associated with host range differences
Correlate genomic findings with experimental virulence data
Environmental adaptation signals:
This evolutionary analysis could provide critical insights into why C. posadasii appears to have a larger population size and more diverse distribution compared to C. immitis , potentially relating these patterns to functional differences in key proteins like YME2.