AIM31 (UniProt ID: B9WHT6) is a mitochondrial protein first identified in Saccharomyces cerevisiae and later characterized in Candida dubliniensis. It plays a role in mitochondrial inheritance and respiratory complex stability, particularly in association with the cytochrome bc₁-COX supercomplex. The recombinant form of this protein is produced for experimental studies to elucidate its structural and functional properties .
AIM31 is evolutionarily conserved and shares functional parallels with Hig1-family proteins in S. cerevisiae. Key findings include:
Association with the COX Complex: AIM31 binds tightly to the cytochrome bc₁-COX supercomplex, displaying a close physical relationship with Cox3 (a core subunit of cytochrome c oxidase) .
Overlap with Aim38: In S. cerevisiae, AIM31 and Aim38 exhibit overlapping functions, suggesting redundancy in stabilizing mitochondrial respiratory complexes .
The recombinant AIM31 is used in:
Structural Biology: To study protein interactions with COX subunits.
Vaccine Research: As a candidate antigen in multi-epitope vaccine designs targeting C. dubliniensis .
Cytochrome c oxidase subunit involved in the assembly of respiratory supercomplexes.
KEGG: cdu:CD36_53530
STRING: 573826.XP_002420648.1
AIM31 (also known as RCF1) is a mitochondrial protein originally discovered in a genetic screen designed to identify proteins whose absence caused altered inheritance of mitochondrial DNA (AIM) . The protein plays a crucial role in mitochondrial function, specifically in the cytochrome bc1-COX supercomplex where it appears to bind to both the cytochrome bc1 and COX enzyme domains . This association suggests AIM31 is involved in the respiratory chain and energy production in C. dubliniensis. The protein is 155 amino acids in length with the following sequence: MSVRLPSSMSYGEEEEPDVLQKMWEKSKQQPFVPLGSLLTAGAVLLAARSMKRGEKLKTQRYFRYRIGFQLATLVALVGGGFYYGTETSEHKQIREDKLREKAKQREKLWIEELERRDSIIQARKQRLEESKKELRELAKQGFIEEKESNDEKED .
C. dubliniensis AIM31 shares significant sequence homology with C. albicans AIM31/RCF1, but has distinct sequence variations. The C. albicans version (UniProt ID: C4YRP9) is also 155 amino acids in length with the sequence: MSVRLPSSMSYGEEEEPDVLQKMWDKSKQQPFVPLGSLLTAGAVLLAARSMKRGEKLKTQRYFRYRIGFQLATLVALVGGGFYYGTETSQHKQTREDKLREKAKQREKLWIEELERRDAIIQARKQRLEESKKELRELAKQGFIEEKESNDKKED . Key differences include amino acid substitutions at several positions (e.g., W→E at position 32, T→I at position 96, and K→D at position 153), which may contribute to species-specific functions. These differences are likely significant because C. dubliniensis and C. albicans differ in their epidemiology, virulence characteristics, and ability to develop antifungal resistance .
Several experimental systems have been validated for AIM31 research:
Gene deletion studies: Using targeted gene deletion methods like the MPA(R)-flipping strategy to create ura3 mutants is effective in C. dubliniensis .
Reporter gene fusion: The URA3 gene from C. albicans can be used as a selection marker for targeted integration of reporter gene fusions to study AIM31 expression .
Recombinant protein expression: AIM31 can be successfully expressed in E. coli with N-terminal His tags for protein-level studies .
Mitochondrial isolation: For studying AIM31's role in mitochondrial complexes, isolation of intact mitochondria and blue native gel electrophoresis (BN-PAGE) can be employed to maintain supercomplex integrity .
For optimal recombinant expression of C. dubliniensis AIM31:
Expression system: E. coli has been successfully used as a heterologous expression system .
Construct design:
Full-length mature protein (amino acids 1-155)
N-terminal His-tag for purification
Codon optimization for E. coli may improve yields
Purification conditions:
Reconstitution protocol:
Note: Repeated freeze-thaw cycles should be avoided; working aliquots can be stored at 4°C for up to one week .
For genetic manipulation of AIM31 in C. dubliniensis, the following methodologies have proven effective:
Isogenic strain construction:
Gene targeting approaches:
Verification strategies:
Alternative strategy for C. dubliniensis:
To analyze AIM31's role in mitochondrial function, the following methodological approaches are recommended:
Mitochondrial isolation and fractionation:
Protein complex analysis:
Functional assays:
Oxygen consumption measurements to assess respiratory chain function
Membrane potential measurements using fluorescent dyes
ATP synthesis assays to evaluate oxidative phosphorylation efficiency
ROS production assays to assess mitochondrial stress
Genetic complementation:
AIM31's role in mitochondrial inheritance and mtDNA stability can be analyzed through several advanced approaches:
Mitochondrial genome stability assessment:
Quantitative PCR to measure mtDNA copy number in AIM31 mutants
Long-range PCR to detect large-scale deletions in mtDNA
Next-generation sequencing to identify mutation patterns in mtDNA
Mitochondrial segregation analysis:
Fluorescent labeling of mitochondria to track inheritance patterns during cell division
Time-lapse microscopy to monitor mitochondrial distribution in real-time
Quantitative analysis of mitochondrial network morphology and dynamics
Molecular mechanisms:
AIM31 appears to be involved in the cytochrome bc1-COX supercomplex, where it interacts closely with the Cox3 protein
This association may influence respiratory chain function, which indirectly affects mtDNA stability through regulation of ROS production
The protein's transmembrane domains suggest it may bridge mitochondrial membranes, potentially influencing mtDNA nucleoid positioning
Comparative analysis:
The relationship between AIM31 and C. dubliniensis pathogenicity/antifungal resistance is an emerging area of research:
Context of C. dubliniensis pathogenicity:
C. dubliniensis is an opportunistic fungal pathogen closely related to C. albicans
It differs from C. albicans in epidemiology, virulence characteristics, and ability to develop fluconazole resistance in vitro
C. dubliniensis has been implicated in oral candidiasis in HIV-positive individuals and has also been recovered from HIV-negative persons with oral candidiasis
The first cases of C. dubliniensis fungemia in North America were reported in immunocompromised patients
Mitochondria and antifungal resistance connection:
Mitochondrial function has been linked to antifungal drug resistance in Candida species
Changes in respiratory capacity can affect cellular responses to azole antifungals
Longitudinal studies show that C. dubliniensis isolates can acquire itraconazole resistance (even without prior azole exposure)
Approximately 8% of clinical isolates exhibited itraconazole resistance in one study
Potential AIM31 mechanisms in resistance:
As a component of respiratory complexes, AIM31 may influence membrane potential and drug efflux
Changes in mitochondrial function can alter cellular metabolic states, potentially affecting drug susceptibility
Research suggests connections between mitochondrial proteins and efflux pumps like MDR1, which can be induced by drugs such as benomyl
Research approaches:
Comparing AIM31 expression levels between susceptible and resistant isolates
Evaluating mitochondrial function in clinical isolates with different resistance profiles
Testing whether AIM31 deletion affects susceptibility to various antifungal classes
Understanding AIM31's interactions in respiratory chain supercomplexes requires sophisticated approaches:
Protein-protein interaction studies:
Affinity purification using His-tagged cytochrome c1 and Aac2 derivatives has been successful for isolating the cytochrome bc1-COX-AAC supercomplex under mild digitonin solubilization conditions
Mass spectrometry analysis can identify components co-purifying with AIM31
Chemical crosslinking coupled with mass spectrometry can capture direct interaction interfaces
Structural insights:
Functional relationships:
AIM31/RCF1 shares an overlapping function with AIM38/RCF2, another mitochondrial protein with limited similarity to AIM31
These proteins may independently bind to the cytochrome bc1-COX supercomplex, providing functional redundancy
Double deletion studies can reveal synergistic effects that single deletions might mask
Evolutionary conservation:
Researchers frequently encounter these challenges when working with recombinant AIM31:
Protein solubility issues:
Protein stability concerns:
Low expression yields:
Problem: Mitochondrial membrane proteins often express poorly in heterologous systems
Solution: Optimize codon usage for expression host; try fusion tags known to enhance solubility (e.g., MBP, SUMO); test different expression temperatures (16-30°C)
Functional activity verification:
Problem: Confirming that recombinant AIM31 retains native activity
Solution: Develop functional reconstitution assays with isolated mitochondrial membranes; compare activity with native protein; verify proper folding using circular dichroism
Antibody specificity issues:
Problem: Cross-reactivity with related proteins (e.g., C. albicans AIM31)
Solution: Generate antibodies against unique epitopes; validate specificity against knockout strains; use epitope-tagged versions for detection
Distinguishing direct from indirect effects requires careful experimental design:
Conditional expression systems:
Implement tetracycline-regulatable or other inducible systems for AIM31
Monitor time-dependent changes after AIM31 depletion or induction
Immediate effects (hours) are more likely to be direct than delayed effects (days)
Domain-specific mutations:
Design point mutations in specific functional domains rather than complete deletion
Compare phenotypes of different domain mutants to map function-specific effects
Use structure-guided mutagenesis targeting interaction interfaces
Complementation strategies:
Rescue experiments with wild-type AIM31 should reverse direct effects
Partial complementation with domain mutants can map critical regions
Cross-species complementation can identify conserved vs. species-specific functions
Multi-omics approach:
Integrate transcriptomics, proteomics, and metabolomics data
Early changes after AIM31 perturbation suggest direct effects
Network analysis can distinguish primary from secondary consequences
For example, transcriptomic analysis has been successfully used to compare C. albicans and C. dubliniensis responses in infection models
Robust experimental design requires appropriate controls:
Genetic manipulation controls:
Empty vector control: For overexpression studies, include the same vector without AIM31
Marker-only control: For gene deletions, include a strain with the selection marker integrated at a neutral locus
Complemented strain: Reintroduction of AIM31 to confirm phenotype is due to its absence
Point mutant controls: Non-functional mutant as negative control; conservative mutations as specificity control
Species-specific considerations:
Expression controls:
Western blotting to confirm protein levels in overexpression/knockdown studies
qRT-PCR to verify transcript levels
Include parental wild-type strain in all experiments
Technical controls:
AIM31's role in mitochondrial function presents several avenues for antifungal development:
Mitochondrial targeting rationale:
Mitochondrial function differences between fungi and humans offer selective targeting opportunities
C. dubliniensis shows species-specific patterns of antifungal resistance development, including itraconazole resistance without fluconazole cross-resistance
AIM31's involvement in respiratory chain function makes it a potential indirect target
Potential approaches:
Combination therapies: Target both AIM31-dependent pathways and conventional antifungal targets
Metabolic vulnerabilities: Identify metabolic dependencies created by AIM31 dysfunction
Species-specific targeting: Exploit sequence differences between human and fungal mitochondrial proteins
Research directions:
Screen for compounds that disrupt AIM31 interactions with respiratory complexes
Investigate metabolic consequences of AIM31 inhibition under different nutrient conditions
Explore synergistic effects between mitochondrial inhibitors and conventional antifungals
Experimental evidence:
Studies show C. dubliniensis can develop drug resistance through altered expression of efflux pumps like MDR1
The MDR1 gene can be induced by certain drugs in a dose-dependent fashion, suggesting regulatory pathways that might be targeted
Mitochondrial function has been linked to azole resistance mechanisms in Candida species
Understanding the relationship between AIM31 and other mitochondrial factors requires integrated approaches:
Genetic interaction networks:
Comparative genomics insights:
AIM proteins were originally identified in screens for genes affecting mitochondrial inheritance
C. dubliniensis also possesses AIM36, another mitochondrial protein (B9WAT8) involved in inheritance
Sequence comparisons across Candida species can identify conserved motifs and species-specific features
Integration with cellular pathways:
Technology approaches:
Genetic variation in AIM31 may contribute to population-level differences:
Epidemiological context:
C. dubliniensis isolates from HIV-positive patients are more closely related than those from HIV-negative patients
Longitudinal genotyping reveals that isolates from the same patient are generally closely related and may undergo microevolution
Approximately 8% of clinical isolates exhibited itraconazole resistance in one study
Methodological approaches:
Comparative sequencing: Analysis of AIM31 sequences across clinical isolates
Functional studies: Test phenotypic consequences of natural variants
Population genetics: Assess selection pressures on AIM31 using dN/dS ratios
Research findings:
Future directions:
Whole genome sequencing of diverse isolates to place AIM31 variation in genomic context
Testing whether specific AIM31 variants correlate with clinical outcomes or resistance patterns
Investigating whether mitochondrial function differences contribute to niche adaptation in C. dubliniensis