Recombinant Candida glabrata Altered Inheritance of Mitochondria Protein 39, mitochondrial (AIM39) is a recombinant protein derived from the yeast Candida glabrata. This protein is involved in the regulation of mitochondrial inheritance, a process crucial for maintaining cellular energy homeostasis and ensuring proper distribution of mitochondria during cell division. The recombinant form of AIM39 is typically expressed in Escherichia coli and is often fused with a His-tag for easier purification and identification.
Product Name: Recombinant Full Length Candida glabrata Altered Inheritance Of Mitochondria Protein 39, Mitochondrial(AIM39) Protein
Protein Details: The protein spans amino acids 30-343 (Q6FQ14) and is fused to an N-terminal His tag.
Expression System: Expressed in E. coli.
AIM39 plays a role in the regulation of mitochondrial dynamics and inheritance, which is essential for the survival and pathogenicity of Candida glabrata. Mitochondrial function is critical for the adaptation of C. glabrata to stress conditions, including antifungal exposure and host immune responses . Dysregulation of mitochondrial function can lead to increased resistance to antifungal agents and enhanced survival within host cells .
Recombinant AIM39 is typically expressed in E. coli and purified using affinity chromatography due to its His-tag. This method allows for efficient production and isolation of the protein for further study.
| Step | Description |
|---|---|
| 1. Expression | Expressed in E. coli under optimal conditions. |
| 2. Purification | Utilizes affinity chromatography to isolate the His-tagged protein. |
| 3. Verification | Confirmed by Western blot or mass spectrometry. |
Understanding the role of AIM39 in mitochondrial inheritance could provide insights into the pathogenic mechanisms of Candida glabrata. This knowledge may aid in developing novel therapeutic strategies targeting mitochondrial function to combat fungal infections.
Mitochondrial Function: Targeting mitochondrial dynamics could disrupt fungal pathogenicity.
Drug Resistance: Understanding how mitochondrial function impacts drug resistance may lead to more effective antifungal therapies.
Creative BioMart. Recombinant Full Length Candida Glabrata Altered Inheritance Of Mitochondria Protein 39, Mitochondrial(Aim39) Protein, His-Tagged. [Accessed 2025].
MDPI. Candida glabrata: Pathogenicity and Resistance Mechanisms for Antifungal Agents. [Published 2021].
Creative BioMart. Recombinant Full Length Candida Glabrata Altered Inheritance Of Mitochondria Protein 39, Mitochondrial(Aim39) Protein, His-Tagged. [Accessed 2025].
ASM Journals. Transient Mitochondria Dysfunction Confers Fungal Cross-Resistance Between Macrophages and Fluconazole. [Published 2021].
PMC. Population Genetics and Microevolution of Clinical Candida glabrata. [Published 2022].
BioRxiv. Transient Mitochondria Dysfunction Confers Fungal Cross-Resistance Between Macrophages and Fluconazole. [Published 2021].
PMC. Mitochondrial DNA Heteroplasmy in Candida glabrata after Deletion of the ATP6 Gene. [Published 2010].
PMC. Candida glabrata: A Powerhouse of Resistance. [Published 2023].
PMC. Loss of Mitochondrial Functions Associated with Azole Resistance in Candida glabrata Results in Enhanced Virulence in Mice. [Published 2011].
KEGG: cgr:CAGL0I09966g
Candida glabrata is the second most common etiological cause of worldwide systemic candidiasis in adult patients . Clinical isolates display remarkable genetic diversity, with genome analysis revealing at least 19 separate sequence types identified globally, plus newly discovered variants . This pathogen has significant clinical importance due to its ability to develop drug resistance, particularly to azole antifungals, and its capacity to persist within host cells, including macrophages .
Methodological approach: Researchers typically characterize C. glabrata through whole genome sequencing combined with molecular typing methods such as multilocus sequence typing (MLST). Clinical significance is assessed through epidemiological studies, antifungal susceptibility testing, and infection models such as Galleria mellonella larvae .
Mitochondria play critical roles in C. glabrata pathogenicity through multiple mechanisms:
Drug resistance: Mitochondrial dysfunction or morphological abnormalities contribute to azole resistance mechanisms
Genomic diversity: The mitochondrial genome in C. glabrata shows considerable diversity, with reduced conserved sequences and protein-encoding genes in certain sequence types
Stress response: Mitochondrial function affects cellular responses to environmental stresses encountered during infection
Virulence factor regulation: Mitochondrial status influences the expression of virulence factors
Methodological approach: Researchers investigate mitochondrial contributions to pathogenicity through gene deletion studies, mitochondrial morphology visualization, and phenotypic characterization of mitochondrial mutants under various stress conditions.
While specific information about AIM39 in C. glabrata is limited in current literature, its name "Altered inheritance of mitochondria protein 39" suggests involvement in mitochondrial inheritance and potentially mitochondrial dynamics . The protein likely functions within the network of mitochondrial proteins that influence morphology, inheritance, and function.
The ERMES (ER-mitochondrial encounter structure) complex, which includes components like GEM1, MDM12, and MDM34, plays important roles in maintaining proper mitochondrial morphology and function in fungi . AIM39 may interact with this complex or function in parallel pathways affecting mitochondrial inheritance.
Methodological approach: Researchers would typically characterize AIM39 function through:
Gene deletion and complementation studies
Protein localization using fluorescent tagging
Protein-protein interaction studies
Phenotypic analysis of mutants under various growth conditions
Production of recombinant mitochondrial proteins from C. glabrata typically involves:
Gene cloning: The target gene is amplified from C. glabrata genomic DNA using PCR with specific primers
Expression vector construction: The gene is inserted into appropriate expression vectors, often using homologous recombination-based cloning strategies
Heterologous expression: Proteins are commonly expressed in systems such as E. coli, S. cerevisiae, or insect cells
Purification: Tagged proteins are purified using affinity chromatography followed by additional purification steps
For C. glabrata proteins specifically, expression systems using copper-inducible promoters like MTI have been successfully employed . This approach allows controlled expression of the target protein.
Table 1: Common expression systems for recombinant fungal mitochondrial proteins
| Expression System | Advantages | Limitations | Best For |
|---|---|---|---|
| E. coli | High yield, simple, low cost | Limited post-translational modifications, potential folding issues | Small, soluble proteins |
| S. cerevisiae | Proper folding, post-translational modifications | Lower yield than E. coli | Complex proteins requiring eukaryotic processing |
| Insect cells | High-level expression, post-translational modifications | More complex, higher cost | Membrane proteins, large complexes |
| Mammalian cells | Most authentic modifications | Highest cost, lowest yield | Proteins requiring mammalian-specific modifications |
Mutations in mitochondrial proteins significantly impact drug resistance in C. glabrata through several mechanisms:
Efflux pump regulation: Deletion of GEM1, an ERMES component, increases azole resistance by upregulating drug efflux pumps encoded by CDR1 and CDR2
Oxidative stress response: Mitochondrial dysfunction leads to increased mitochondrial ROS (mtROS) levels, which can trigger stress response pathways
Membrane composition: Altered mitochondrial function affects ergosterol biosynthesis, the target of azole antifungals
Energy metabolism: Changes in energy production can influence cellular responses to antifungal drugs
A key example is the deletion of GEM1, which results in abnormal mitochondrial morphology, increased ROS production, and upregulated expression of drug efflux pumps . Treatment with the antioxidant N-acetylcysteine (NAC) reduces both ROS production and CDR1 expression in Δgem1 mutants, demonstrating the connection between mitochondrial function and drug resistance mechanisms .
The ER-mitochondrial encounter structure (ERMES) complex forms contact sites between the endoplasmic reticulum and mitochondria, playing crucial roles in mitochondrial morphology and function. Key components include GEM1 (a GTPase that regulates ERMES activity), MDM12, MDM34, and other proteins .
While specific interactions between ERMES and AIM39 are not documented in current literature, potential interactions could include:
Physical association at ER-mitochondria contact sites
Functional cooperation in mitochondrial inheritance pathways
Shared roles in stress response mechanisms
Involvement in mitochondrial DNA maintenance
Deletion of ERMES components leads to abnormal mitochondrial morphology, with Δgem1 cells displaying shortened or collapsed tubular networks and Δmdm34 cells showing mostly globular mitochondrial morphology . These morphological changes correlate with altered drug resistance profiles.
Methodological approach: Researchers could investigate AIM39-ERMES interactions through techniques such as:
Co-immunoprecipitation
Proximity labeling (BioID, APEX)
Split-fluorescent protein complementation
Genetic interaction studies (synthetic lethality/sickness screens)
High-resolution microscopy
C. glabrata mitochondrial proteins play critical roles in survival within host immune cells through several mechanisms:
Oxidative stress tolerance: Mitochondrial proteins help counter reactive oxygen species (ROS) produced by phagocytes
Metabolic adaptation: They enable metabolic flexibility in nutrient-limited phagosomal environments
Drug resistance: Mitochondrial function influences resistance to host antimicrobial compounds
Virulence factor regulation: They affect expression of factors that counter immune cell functions
The multidrug transporter CgDtr1 exemplifies these functions, as it was shown to play a role in C. glabrata pathogenesis by protecting cells from stress agents present in macrophagic cells . Deletion of CgDTR1 decreased C. glabrata's ability to proliferate in G. mellonella hemolymph and reduced tolerance to hemocyte action .
Methodological approach: Studies typically employ:
In vitro macrophage infection models
G. mellonella hemocyte interaction assays
ROS measurement in infected cells
Survival/proliferation quantification within immune cells
Transcriptomic/proteomic analysis of intracellular fungi
The C. glabrata mitochondrial genome shows remarkable diversity across clinical isolates. Key findings include:
Reduced conserved sequence and conserved protein-encoding genes in nonreference ST15 isolates
Evidence for ancestral recombination in several sequence types, suggesting genetic exchange between distinct geographical regions
Potential correlation between mitochondrial genome diversity and virulence/drug resistance phenotypes
This diversity may impact virulence through:
Altered energy metabolism affecting growth and stress responses
Different efficiencies in handling oxidative stress
Variation in expression of mitochondrially-regulated virulence factors
Differences in drug resistance mechanisms
Methodological approach: Researchers would typically:
Compare complete mitochondrial genome sequences across clinical isolates
Correlate mitochondrial genome features with virulence phenotypes in infection models
Perform functional characterization of mitochondrial genes unique to specific sequence types
Conduct population genetics analyses to understand evolutionary relationships
High-throughput screening for inhibitors targeting C. glabrata mitochondrial proteins like AIM39 would typically involve:
Target-based approaches:
In vitro enzymatic assays using purified recombinant proteins
Thermal shift assays to identify compounds that bind and stabilize proteins
Fragment-based screening to identify chemical scaffolds for further development
Cell-based approaches:
Phenotypic screens using C. glabrata wild-type and mitochondrial protein mutants
Reporter systems that indicate mitochondrial function (membrane potential, ROS production)
Growth inhibition assays under conditions requiring mitochondrial function
In silico approaches:
Structure-based virtual screening if protein structures are available
Pharmacophore modeling based on known ligands
Machine learning predictions from existing antifungal compound data
Table 2: Comparison of screening approaches for mitochondrial protein inhibitors
| Screening Approach | Advantages | Limitations | Key Considerations |
|---|---|---|---|
| Biochemical assays | Direct measurement of target inhibition | May not reflect cellular context | Requires purified, active protein |
| Cell-based assays | Accounts for cellular uptake and metabolism | Less specific, multiple potential targets | Need for appropriate controls to confirm mechanism |
| Virtual screening | Cost-effective, large libraries can be tested | Depends on structural information quality | Validation of hits in biochemical and cell assays |
| Fragment screening | Identifies starting points for optimization | Typically low affinity initial hits | Fragment growing/linking strategies needed |
Researchers face several significant challenges when studying mitochondrial proteins like AIM39 in C. glabrata:
Technical challenges:
Limited genetic tools compared to model organisms
Difficulties in visualizing mitochondrial dynamics in small fungal cells
Challenges in purifying membrane-associated mitochondrial proteins
Limited structural information for fungal-specific mitochondrial proteins
Biological complexities:
Genetic redundancy in mitochondrial inheritance pathways
Essential functions that complicate knockout studies
Strain variation affecting phenotypic outcomes
Different phenotypes in laboratory versus host conditions
Methodological limitations:
Need for specialized equipment for mitochondrial imaging
Complexity of mitochondrial isolation procedures
Difficulties in reconstituting mitochondrial protein functions in vitro
Challenges in distinguishing direct from indirect effects on mitochondrial function
To overcome these challenges, integrative approaches combining genetic, biochemical, and imaging techniques are typically employed. Conditional expression systems, partial loss-of-function mutations, and complementary model systems like S. cerevisiae may help address some of these limitations.