Debaryomyces hansenii is a halotolerant yeast known for its ability to withstand high salt concentrations, extreme temperatures, and varying pH levels, making it suitable for industrial applications using complex feedstocks . Genetic modification of D. hansenii allows for the production of recombinant proteins, expanding its biotechnological potential . One area of interest involves the modification of mitochondrial proteins, specifically Altered Inheritance of Mitochondria protein 3 (AIM3), which plays a role in mitochondrial translation .
D. hansenii can grow in industrial by-products with high salt content and produce recombinant proteins without additional nutrients or freshwater . This yeast's tolerance to high salt concentrations allows for open, non-sterile cultivations, as it can outcompete other microorganisms . Genetic tools like CRISPR-CUG/Cas9 systems have been developed to engineer D. hansenii efficiently, facilitating the screening of promoters, terminators, and signal peptides to enhance recombinant protein production .
Mitochondria are essential organelles responsible for ATP production, fatty acid synthesis, and programmed cell death . Mitochondrial translation requires initiation factors such as mIF3, also known as Aim23 in Saccharomyces cerevisiae . In S. cerevisiae, deletion of the AIM23 gene, which codes for mitochondrial translation initiation factor 3, results in an imbalance in mitochondrial protein synthesis and delays growth when shifting from fermentable to non-fermentable carbon sources .
| Protein | Expression in aim23Δ Strain (Relative to Wild Type) |
|---|---|
| Cox1 | Decreased |
| Cox2 | Decreased |
| Cox3 | Decreased |
| Atp6 | Increased |
| Atp8 | Increased |
| Atp9 | Increased |
Northern blot analysis revealed no significant differences in mRNA levels between wild-type and aim23Δ strains, except for a lower level of the bicistronic mRNA encoding Atp6 and Atp8 .
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KEGG: dha:DEHA2F05808g
Debaryomyces hansenii has undergone significant taxonomic revision, with current research identifying three distinct species within the D. hansenii complex: D. hansenii (CBS 767T = MUCL 49680T), D. fabryi (CBS 789T = MUCL 49731T), and D. subglobosus (CBS 792T = MUCL 49732T) . When conducting genetic studies on AIM3 in this organism, researchers must verify the exact strain being used, as genetic variation between these species may significantly influence experimental outcomes and comparability with published research. The reclassification was based on a polyphasic approach including DNA reassociation values, PCR fingerprinting patterns, and partial ACT1 gene sequence differences of 16-36 nucleotides between clusters .
Researchers can distinguish between D. hansenii strains using a combination of molecular and physiological techniques:
Molecular methods:
PCR fingerprinting with mini- and microsatellite-specific primers (M13, (GTG)5, (ATG)5)
Partial sequencing of the ACT1 gene (shows 0-14 nucleotide differences within D. hansenii and 16-36 differences between species)
DNA reassociation studies (values of 73-100% within species, 34-68% between species)
Physiological characteristics:
These distinctions are critical when studying mitochondrial proteins like AIM3, as strain differences may affect mitochondrial inheritance patterns and protein function.
For optimal expression of recombinant AIM3 in D. hansenii, researchers should consider:
Growth media composition:
Temperature and pH:
Optimal growth at 28-30°C
pH 5.5-6.5 for maximum expression
Expression system considerations:
Strong promoters responsive to osmotic stress
Codon optimization based on D. hansenii preferences
Mitochondrial targeting sequences if necessary for proper localization
Induction protocol:
Gradual increase in osmolarity to activate stress response pathways
Monitor expression levels using Western blot with anti-AIM3 antibodies
| Condition | Optimal Range | Effect on AIM3 Expression |
|---|---|---|
| NaCl concentration | 0.5-2.0M | Increases expression through stress response pathways |
| Temperature | 28-30°C | Maintains proper protein folding |
| pH | 5.5-6.5 | Optimizes cellular metabolism and protein stability |
| Carbon source | 2% glucose | Balances growth rate and mitochondrial activity |
| Induction time | 4-6 hours | Maximizes protein yield while minimizing degradation |
The isolation of functional mitochondria from recombinant D. hansenii requires specialized techniques due to the yeast's tough cell wall and halotolerant nature:
Cell disruption:
Differential centrifugation:
Initial centrifugation at 1,500g to remove cell debris
Collection of mitochondria at 10,000-12,000g
Further purification on sucrose gradients if necessary
Functional assessment:
Special considerations for AIM3 studies:
Verify mitochondrial integrity and functionality before AIM3 analysis
Include protease inhibitors to prevent degradation of AIM3
Consider crosslinking approaches to identify AIM3 interaction partners
Research indicates a potential relationship between AIM3 and the mitochondrial alternative oxidase pathway that is activated under osmotic stress:
Expression correlation:
High osmolarity environments activate the mitochondrial alternative oxidase (Aox) in D. hansenii
Aox expression levels increase under osmotic stress conditions while cytochrome c oxidase subunit III (CoxIII) levels decrease
AIM3 expression patterns may follow similar regulation mechanisms, responding to osmotic stress signals
Functional relationship:
Aox prevents electron overflow on the respiratory chain under stress conditions, decreasing ROS production
AIM3 may function in the same pathway, potentially regulating mitochondrial membrane dynamics or protein import during stress
The coupling between Complex I and Aox maintains membrane potential under high osmolarity conditions
Experimental approach to study correlation:
Use oxygen consumption measurements with inhibitors (KCN for cytochrome pathway, SHAM for Aox)
Measure membrane potential changes upon osmotic stress in wild-type versus AIM3-modified strains
Analyze expression levels of both AIM3 and Aox using Western blot and qPCR
Researchers can employ several complementary techniques to assess how modified AIM3 affects mitochondrial membrane potential under osmotic stress:
Fluorescent probe-based methods:
Isolated mitochondria studies:
Whole-cell approaches:
Understanding the impact of modified AIM3 on mitochondrial distribution during cell division requires sophisticated imaging and molecular approaches:
Live-cell imaging techniques:
Use fluorescently tagged mitochondrial proteins (e.g., matrix-targeted GFP)
Track mitochondrial movement during budding and cell division
Quantify asymmetry in mitochondrial inheritance between mother and daughter cells
Molecular markers for inheritance:
Monitor mitochondrial DNA copy number in mother vs. daughter cells
Assess mitochondrial protein distribution using immunofluorescence
Analyze mitochondrial functional parameters in newly formed cells
Integration with cell cycle analysis:
Synchronize cultures to study mitochondrial dynamics at specific cell cycle stages
Correlate AIM3 localization with mitochondrial distribution patterns
Investigate interaction with known mitochondrial inheritance factors
The long-term adaptation of mitochondria to osmotic stress and AIM3's role can be studied through:
Evolutionary adaptation experiments:
Culture D. hansenii under increasing osmotic pressure over multiple generations
Track changes in AIM3 sequence, expression, and localization
Compare mitochondrial function between adapted and non-adapted strains
Proteome analysis:
Perform differential proteomics on mitochondria from cells grown under various osmotic conditions
Identify protein complexes containing AIM3 using co-immunoprecipitation
Map post-translational modifications of AIM3 in response to osmotic stress
Metabolic reprogramming assessment:
Measure changes in mitochondrial metabolism using isotope-labeled substrates
Analyze ATP production pathways under different osmotic conditions
Correlate metabolic shifts with AIM3 expression and modification
Investigating AIM3 interaction networks requires specialized approaches for mitochondrial proteins:
Proximity-based labeling approaches:
BioID or APEX2 fusion constructs with AIM3 to identify proximal proteins
Compare interaction profiles under normal and high osmolarity conditions
Validate key interactions using co-immunoprecipitation and Western blotting
Crosslinking mass spectrometry:
Chemical crosslinking of intact mitochondria followed by purification of AIM3
MS/MS analysis to identify crosslinked peptides
Computational modeling of interaction interfaces
Yeast two-hybrid screening adapted for membrane proteins:
Split-ubiquitin membrane yeast two-hybrid system
Screen against D. hansenii mitochondrial protein library
Confirm interactions in the native mitochondrial environment
The interaction data should be presented in network diagrams showing differential interactions under normal versus stress conditions, with quantification of interaction strengths and statistical significance.
Phosphoregulation of AIM3 can be characterized through:
Phosphoproteomic analysis:
Enrich for phosphopeptides using TiO₂ or IMAC
Compare phosphorylation patterns in control versus osmotically stressed cells
Identify specific phosphorylation sites on AIM3
Kinase inhibitor profiling:
Treat cells with specific kinase inhibitors prior to osmotic stress
Monitor changes in AIM3 phosphorylation status
Identify candidate kinases involved in AIM3 regulation
Site-directed mutagenesis:
Generate phosphomimetic (S/T to D/E) and phosphodeficient (S/T to A) mutants
Assess functional consequences on mitochondrial inheritance and stress responses
Evaluate effects on protein-protein interactions
| Condition | Phosphorylation Sites | Responsible Kinases | Functional Effect |
|---|---|---|---|
| Normal growth | Baseline sites (to be identified) | Constitutive kinases | Maintenance of normal mitochondrial distribution |
| Acute osmotic stress | Rapid phosphorylation of stress-responsive sites | Stress-activated protein kinases | Adaptation to immediate stress |
| Chronic osmotic stress | Persistent phosphorylation pattern | Long-term regulatory kinases | Stabilization of adapted state |
A comparative analysis of AIM3 across Debaryomyces species reveals:
Sequence conservation analysis:
Structure-function relationship:
Predict functional domains based on sequence conservation
Model protein structure using homology modeling
Identify potential salt-sensing regions
Expression pattern comparison:
Analyze AIM3 expression levels across species under identical osmotic conditions
Correlate expression with halotolerance capabilities
Identify regulatory elements in promoter regions
A comprehensive phylogenetic tree should be constructed showing the evolutionary relationships of AIM3 across yeast species, with special attention to adaptations in halotolerant species.