Cytochrome c oxidase subunit involved in the assembly of respiratory supercomplexes.
KEGG: tve:TRV_05213
STRING: 663202.XP_003020687.1
AIM31 (Altered inheritance of mitochondria protein 31) is a mitochondrial protein found in Trichophyton verrucosum, a dermatophyte fungus known to cause skin infections in animals and humans. The protein is encoded by the AIM31 gene (also known as TRV_05213 in T. verrucosum strain HKI 0517) and consists of 189 amino acids in its full-length form . The mature protein has a molecular structure that includes mitochondrial targeting sequences and functional domains associated with mitochondrial membrane organization.
The protein sequence of T. verrucosum AIM31 is: MSDKPLPSSFDDDPDFFQDNAWKKLGRRLKEEPLVPLGIGATCYALFRAYRSMKMGDSVQVNRMFRARIYAQAFTLLAVCAGSVYYKTERDQRKQLEKAMDLKKQQAKRDAWLKELEIRQEDKDWQSRHATIEQAAKGVEVKPFVADSAPDAAGRDASEEPAKESGDKKDGGSGGVLSAVKNLSWGSK . This protein has homologs in other fungal species, including Ajellomyces capsulata where it's also designated as AIM31, suggesting evolutionary conservation of this mitochondrial protein across fungal taxa .
Trichophyton verrucosum belongs to the Trichophyton benhamiae complex, which encompasses nine related taxa that are primarily animal pathogens with zoonotic potential . Within the broader context of dermatophytes:
T. verrucosum is historically recognized as a well-known agent of dermatophytosis in cattle and a cause of zoonotic infections, particularly in agricultural workers .
The species is part of a group of dermatophytes that includes T. rubrum (the major cause of athlete's foot), T. equinum, T. tonsurans, and several other clinically relevant species .
While T. verrucosum infections have decreased in Europe due to improved agricultural procedures and cattle vaccination, they remain significant in many regions worldwide .
The organism belongs to a larger group of dermatophyte fungi characterized by specific genomic features, including expanded families of proteases, kinases, secondary metabolism genes, and LysM domain-containing proteins .
Recombinant T. verrucosum AIM31 protein can be produced using several expression systems, each with specific advantages for different research applications. The methodological approach typically involves:
Gene cloning: The AIM31 gene sequence from T. verrucosum is amplified and cloned into an appropriate expression vector with a selected tag system for purification and detection purposes .
Expression system selection: Common expression systems include:
Purification strategy: Typically involves affinity chromatography based on the fusion tag selected during vector design. Common tags include His-tags, GST, or specialized biotinylation tags like Avi-tag for specific applications .
Quality control: Verification of protein identity and purity using SDS-PAGE, mass spectrometry, and functional assays to ensure biological activity is preserved.
The recombinant protein is often stored in a Tris-based buffer with 50% glycerol to maintain stability, and researchers are advised to avoid repeated freeze-thaw cycles by storing working aliquots at 4°C for short-term use .
The AIM31 protein in fungi, including T. verrucosum, is implicated in several critical mitochondrial functions, although research specifically on T. verrucosum AIM31 is limited. Based on studies of homologous proteins in related fungi:
Mitochondrial inheritance: As suggested by its name (Altered inheritance of mitochondria), AIM31 appears to play a role in the proper distribution and inheritance of mitochondria during cell division .
Respiratory chain function: In some fungi, AIM31 is also known as RCF1 (Respiratory supercomplex factor 1), suggesting involvement in the organization and function of respiratory chain complexes in the mitochondrial inner membrane .
Mitochondrial membrane organization: The protein likely contributes to the structural integrity and organization of mitochondrial membranes, which is essential for proper organelle function and energy production.
Potential role in pathogenicity: Given that mitochondrial function is critical for fungal viability and virulence, AIM31 may indirectly contribute to the pathogenic potential of T. verrucosum, though direct evidence for this connection requires further investigation.
Comparative genomic analyses of dermatophytes, including T. verrucosum, have revealed that these fungi contain expanded families of genes related to secondary metabolism, kinases, proteases, and LysM binding domains, which collectively contribute to their pathogenic lifestyle .
While the detailed three-dimensional structure of T. verrucosum AIM31 has not been fully characterized in the available literature, several structural features can be inferred from sequence analysis and comparison with homologous proteins:
Mitochondrial targeting sequence: The N-terminal portion of the protein likely contains signals that direct the protein to the mitochondria after synthesis in the cytoplasm.
Transmembrane domains: Analysis of the amino acid sequence (MSDKPLPSSFDDDPDFFQDNAWKKLGRRLKEEPLVPLGIGATCYALFRAYRSMKMGDSVQVNRMFRARIYAQAFTLLAVCAGSVYYKTERDQRKQLEKAMDLKKQQAKRDAWLKELEIRQEDKDWQSRHATIEQAAKGVEVKPFVADSAPDAAGRDASEEPAKESGDKKDGGSGGVLSAVKNLSWGSK) suggests the presence of hydrophobic regions that could span the mitochondrial membrane .
Functional domains: The protein likely contains domains that mediate interactions with other mitochondrial proteins, particularly those involved in respiratory chain complexes.
Conservation patterns: Comparative analysis of AIM31 across multiple fungal species could reveal highly conserved regions that are essential for function, though this specific analysis is not presented in the available search results.
Understanding the structure-function relationship of T. verrucosum AIM31 would benefit from techniques such as X-ray crystallography, NMR spectroscopy, or cryo-electron microscopy to resolve its three-dimensional structure.
When designing expression systems for recombinant T. verrucosum AIM31, researchers should consider the following parameters for optimal results:
Expression vector selection:
For prokaryotic expression: pET series vectors with T7 promoter systems offer strong inducible expression in E. coli
For eukaryotic expression: Vectors with appropriate promoters for yeast, insect, or mammalian cell expression systems
Expression host considerations:
Optimization parameters:
Induction conditions: Temperature, inducer concentration, and timing
Growth media composition: Nutrient availability and buffering capacity
Harvest timing: Balancing protein yield with solubility
Fusion tag selection:
Codon optimization:
Adapting the T. verrucosum gene sequence to the codon usage bias of the expression host can significantly improve expression levels
Experimental designs should include appropriate controls and optimization steps to ensure the recombinant protein maintains its native structure and function.
Several analytical approaches can be employed to study AIM31 interactions with other mitochondrial proteins, each offering different insights:
Co-immunoprecipitation (Co-IP):
Using antibodies against tagged recombinant AIM31 to pull down interacting proteins
Mass spectrometry analysis of co-precipitated proteins to identify interaction partners
Verification with reciprocal Co-IP using antibodies against identified partners
Yeast two-hybrid screening:
Using AIM31 as bait to screen for interacting proteins from a cDNA library
Validation of positive interactions through secondary assays
Proximity-based labeling:
BioID or APEX2 fusion with AIM31 to biotinylate proximal proteins in the mitochondrial environment
Streptavidin-based purification followed by mass spectrometry identification
Fluorescence microscopy techniques:
Förster Resonance Energy Transfer (FRET) to detect protein-protein interactions in living cells
Bimolecular Fluorescence Complementation (BiFC) to visualize interaction partners
Surface Plasmon Resonance (SPR):
Quantitative analysis of binding kinetics between purified AIM31 and potential interacting partners
Determination of binding affinities and association/dissociation rates
Isothermal Titration Calorimetry (ITC):
Direct measurement of thermodynamic parameters of protein-protein interactions
Provides information on binding stoichiometry and energetics
These methods can be particularly valuable given that comparative genomic analyses of dermatophytes have revealed significant expansion of specific functional categories, including kinases and proteases, which may interact with mitochondrial proteins like AIM31 in biological contexts .
While direct evidence linking AIM31 to T. verrucosum pathogenicity is not explicitly stated in the search results, we can infer potential connections based on the known functions of mitochondrial proteins and the pathogenic mechanisms of dermatophytes:
T. verrucosum is known to cause highly inflammatory infections in both animals and humans, as evidenced by clinical cases like those described in llamas and their breeder . Understanding the contribution of specific proteins like AIM31 to this inflammatory response could provide insights into the pathogenesis of these infections.
T. verrucosum exhibits significant zoonotic potential, with documented cases of transmission between animals and humans . The relationship between this transmission and protein expression patterns can be explored from several angles:
Host adaptation mechanisms:
During cross-species transmission, T. verrucosum likely undergoes changes in gene expression, potentially including mitochondrial proteins like AIM31, to adapt to different host environments
Comparative proteomic analysis of T. verrucosum isolates from different host species could reveal adaptive changes in protein expression
Epidemiological evidence:
Clinical presentation correlation:
T. verrucosum causes highly inflammatory tinea corporis in humans, particularly those in contact with infected animals
The protein expression profile, including mitochondrial proteins, may contribute to this inflammatory response
Diagnostic applications:
As noted in epidemiological studies, farmers, veterinarians, and others handling infected animals are at higher risk of acquiring T. verrucosum infections , suggesting that direct contact is a primary transmission route. The role of specific proteins like AIM31 in this process remains an area for further investigation.
Gene knockout or silencing approaches offer powerful tools for elucidating AIM31 function in T. verrucosum. A comprehensive experimental approach would include:
CRISPR-Cas9 gene editing:
Design of guide RNAs targeting the AIM31 locus
Generation of knockout strains through homology-directed repair
Phenotypic characterization of knockout mutants for growth, morphology, and pathogenicity
RNA interference (RNAi):
Development of RNAi constructs targeting AIM31 transcripts
Transformation of T. verrucosum with RNAi constructs for conditional knockdown
Analysis of phenotypic changes under various conditions
The available literature indicates that RNAi mechanisms are present in dermatophytes, as homologs of Argonaut and dicer have been identified in these fungi, suggesting that RNAi gene knockdown approaches could be viable for functional analysis .
Phenotypic assessment parameters:
Mitochondrial morphology and distribution
Respiratory chain function and ATP production
Growth rate and colony morphology
Stress response and adaptation
Virulence in appropriate infection models
Complementation studies:
Reintroduction of the wild-type AIM31 gene to confirm phenotypic restoration
Introduction of AIM31 variants to identify critical functional domains
Cross-species complementation with AIM31 homologs from related fungi
Multi-omics analysis:
Transcriptomic profiling to identify compensatory responses
Proteomic analysis to detect changes in protein-protein interaction networks
Metabolomic studies to characterize alterations in cellular metabolism
These approaches would help establish whether AIM31 is essential for viability in T. verrucosum and elucidate its specific roles in mitochondrial function and potentially in pathogenicity.
Comparative genomic analysis of AIM31 across multiple Trichophyton species can provide valuable insights into evolutionary conservation, functional importance, and potential species-specific adaptations:
Sequence conservation analysis:
Alignment of AIM31 sequences from various Trichophyton species, including T. verrucosum, T. rubrum, T. equinum, T. tonsurans, and newly discovered species like T. persicum and T. spiraliforme
Identification of highly conserved regions suggesting functional importance
Detection of species-specific variations that might correlate with host range or pathogenicity
Genomic context examination:
Analysis of the genomic neighborhood of AIM31 across species
Identification of conserved or species-specific gene clusters
Detection of horizontal gene transfer events or genomic rearrangements
Evolutionary rate analysis:
Calculation of synonymous and non-synonymous substitution rates
Assessment of selective pressure acting on different regions of the protein
Correlation with species diversification and host adaptation
Host-specificity correlations:
Comparison of AIM31 sequences from anthropophilic, zoophilic, and geophilic dermatophytes
Identification of sequence features that correlate with host preference
Analysis in the context of the expanded gene families observed in dermatophytes, including those related to secondary metabolism, kinases, proteases, and LysM binding domains
Structural predictions:
Homology modeling of AIM31 from different species
Comparison of predicted structural features and potential functional sites
Correlation of structural differences with species-specific biological properties
This comparative approach would benefit from the expanding genomic resources for dermatophytes, including the complete genome sequences now available for multiple Trichophyton species .
While direct therapeutic targeting of AIM31 has not been extensively explored in the available literature, several promising research directions could emerge from understanding this protein:
Antifungal drug development:
If AIM31 proves essential for T. verrucosum viability or virulence, it could represent a novel target for antifungal therapy
Structure-based drug design could identify compounds that selectively inhibit fungal AIM31 without affecting human mitochondrial proteins
Development of compounds disrupting protein-protein interactions involving AIM31 in the mitochondrial membrane
Vaccine strategies:
Assessment of AIM31 as a potential vaccine antigen for preventing T. verrucosum infections in livestock
Evaluation of recombinant AIM31 in subunit vaccine formulations
This approach aligns with the successful vaccination strategies that have reduced T. verrucosum infections in cattle in many regions
Diagnostic applications:
Development of AIM31-based serological assays for detecting T. verrucosum infections
Design of PCR or other molecular diagnostic tests targeting the AIM31 gene
Integration into multiplex assays that can differentiate between different dermatophyte species
Broader antifungal approaches:
Targeting conserved features of fungal mitochondrial proteins like AIM31 across multiple dermatophyte species
Development of combination therapies targeting both cell wall/membrane and mitochondrial functions
Leveraging comparative genomic insights to identify conserved vulnerabilities in dermatophyte metabolism
One Health applications:
Systems biology offers powerful frameworks for understanding complex biological processes. For investigating AIM31 function in T. verrucosum pathogenesis, several systems approaches show promise:
Multi-omics integration:
Combining transcriptomics, proteomics, and metabolomics data from wild-type and AIM31-modified strains
Integration of data collected under various conditions (in vitro growth, infection models, stress responses)
Construction of comprehensive interaction networks highlighting AIM31's position in cellular systems
Computational modeling:
Development of mathematical models of mitochondrial function incorporating AIM31
Prediction of system-wide effects of AIM31 perturbation
Simulation of different infection scenarios to identify critical control points
Host-pathogen interaction networks:
Comparative systems analysis:
Extending analysis across multiple dermatophyte species with different host preferences
Correlation of system-level differences with host range and virulence
Identification of conserved and species-specific system components
Temporal dynamics analysis:
Characterization of time-resolved changes in AIM31 expression and interaction networks during infection
Mapping the sequence of events from initial host contact to established infection
Identification of critical transition points that could be targeted therapeutically
Such systems approaches would benefit from the expanding genomic and molecular data available for dermatophytes and could lead to more comprehensive understanding of the complex role of mitochondrial proteins like AIM31 in fungal pathogenesis.