Chemical Properties: The recombinant ND4L lacks a CAS number and has an unspecified molecular weight .
Sequence Homology: Shares structural similarities with ND4L subunits in other eukaryotes, such as Lumbricus terrestris (earthworm), which has a 98-amino-acid sequence with conserved transmembrane domains .
Recombinant ND4L is produced via heterologous expression systems. D. hansenii’s halotolerance and ability to grow in high-salt industrial by-products make it ideal for cost-effective protein production .
CRISPR-Cas9: Enables precise gene editing. Knockout of KU70 (involved in non-homologous end joining) improves homologous recombination efficiency .
In Vivo DNA Assembly: Allows seamless integration of multiple DNA fragments (e.g., promoters, terminators) to optimize expression .
Role in Oxidative Stress: D. hansenii Rpn4, a transcription factor regulating proteasomal genes, indirectly influences mitochondrial function by maintaining protein homeostasis .
Metabolic Adaptations: ND4L-associated pathways are enriched in carbohydrate and amino acid metabolism, as shown by KEGG and eggNOG annotations .
Early methods using hygromycin resistance or auxotrophic markers had low transformation efficiency (<5%) .
Open cultivations in salty by-products (e.g., dairy waste) reduce contamination risks and freshwater use .
KEGG: dha:ND4L
ND4L is a subunit of the mitochondrial respiratory complex I (NADH:ubiquinone oxidoreductase), which plays a crucial role in cellular energy metabolism. In D. hansenii, this protein contributes to the electron transport chain in oxidative phosphorylation, facilitating energy production through ATP synthesis. The protein is encoded by the mitochondrial genome and represents one of the essential components for respiratory function in this osmotolerant yeast.
Recent research has demonstrated growing interest in mitochondrial genes like ND4L, with studies in human genomics indicating that variants in MT-ND4L can be associated with conditions such as Alzheimer's disease . In D. hansenii, this protein may have adapted specific properties related to the organism's exceptional halotolerance and stress resistance capabilities.
Expression and purification of recombinant D. hansenii ND4L typically follows these methodological steps:
Vector Selection and Construction: Utilizing CRISPR/Cas9-based gene editing tools specifically adapted for D. hansenii as developed in recent research . The CTG codon-optimized expression systems are particularly important due to D. hansenii's alternative codon usage.
Expression System Options:
Purification Methodology:
Affinity chromatography using histidine tags
Ion exchange chromatography exploiting the protein's charge properties
Size exclusion chromatography for final polishing
The selection of an appropriate expression system is particularly important as ND4L is a hydrophobic membrane protein. For optimal expression in D. hansenii, researchers have developed specialized plasmid-based CRISPR/Cas9 methods that allow for efficient gene editing and protein expression in this non-conventional yeast .
Several genetic techniques have been developed specifically for D. hansenii, which can be applied to studying the ND4L gene:
CRISPR/Cas9 Gene Editing: A novel plasmid-based CRISPR CUG/Cas9 method has been developed for efficient gene editing in D. hansenii, which can be applied to ND4L research. This system utilizes a dominant marker (NAT gene providing resistance to NTC drug), allowing work with prototrophic strains .
Oligo-Mediated Gene Editing: Researchers have demonstrated that 90-nucleotide single-stranded DNA oligonucleotides are sufficient for direct repair of DNA breaks induced by sgRNA-Cas9, resulting in precise editing with up to 100% efficiency .
Multiplex Gene Engineering: The CRISPR CUG-tRNA vector system enables the production of multiple sgRNA species, facilitating simultaneous manipulation of multiple genes .
NHEJ-Deficient Strains: Creating NHEJ (Non-Homologous End Joining)-deficient D. hansenii strains significantly improves the efficiency of precise gene targeting, which is valuable for introducing specific mutations or deletions in the ND4L gene .
The table below summarizes key components of the genetic toolkit for D. hansenii:
Component | Description | Application |
---|---|---|
pDIV488-492 | Cas9-expressing plasmids with different promoters | Base vector for gene editing |
NAT CUG marker | Resistance to NTC drug | Selection in prototrophic strains |
h-ARS/m-ARS | Fusion ARS sequences for plasmid maintenance | Stable transformation |
CRISPR CUG-tRNA vector | Produces multiple sgRNAs | Multiplex gene targeting |
The relationship between ND4L and D. hansenii's halotolerance involves several interconnected mechanisms:
Energy Metabolism Under Salt Stress: As a component of Complex I, ND4L plays a role in maintaining mitochondrial function and energy production under high salt conditions. Research has demonstrated that D. hansenii exhibits specific transcriptomic and proteomic adaptations when grown under high salt concentrations (1M NaCl or KCl) .
Respiratory Adaptations: The expression and regulation of mitochondrial components, including ND4L, may be altered in response to salt stress, contributing to D. hansenii's ability to maintain energy homeostasis in challenging environments.
Redox Balance: Proper functioning of the respiratory chain, including the ND4L component, is crucial for redox balance, which is particularly important under conditions where reactive oxygen species production may be elevated, such as salt stress.
Cross-Stress Protection: Studies have shown that the presence of sodium in the medium protects D. hansenii cells against oxidative stress and additional abiotic stresses like extreme pH or high temperature . The mitochondrial function, including ND4L activity, may contribute to this cross-protection mechanism.
Integrated -omics studies have revealed that sodium and potassium trigger different responses at both expression and regulation of protein activity levels in D. hansenii, implicating specific cellular processes as key players in halotolerance .
For optimal functional analysis of recombinant D. hansenii ND4L, researchers should consider the following methodological approaches:
Membrane Protein Reconstitution:
Incorporation into proteoliposomes using defined lipid compositions
Use of nanodiscs for single-molecule studies
Detergent screening (typically starting with mild detergents like DDM or LMNG)
Activity Assay Conditions:
Buffer composition: 50-100 mM phosphate or Tris buffer, pH 7.0-8.0
Salt concentration: Variable NaCl (0-2M) to assess halotolerant properties
Temperature range: 20-30°C (optimal growth temperature for D. hansenii)
Substrate concentrations: 50-200 μM NADH, 10-50 μM ubiquinone analogs
Spectroscopic Analysis:
Electron transfer activity monitoring by reduction of artificial electron acceptors
Fluorescence-based assays for conformational changes
EPR spectroscopy for analysis of iron-sulfur clusters
Control Measures:
Comparison with recombinant ND4L from non-halotolerant yeasts
Analysis under varying salt concentrations to assess salt-dependent functionality
When studying ND4L function in the context of halotolerance, researchers should consider using the chemostat cultivation conditions described in recent studies, where D. hansenii was grown in the presence of either 1M NaCl or KCl to study stress responses .
The recently developed CRISPR/Cas9 system for D. hansenii provides powerful tools for investigating ND4L function:
Gene Knockout/Modification Strategy:
Expression Vector Selection:
Transformation and Screening Protocol:
Phenotypic Analysis of Mutants:
Assess growth under varying salt concentrations (0-2M NaCl/KCl)
Measure oxygen consumption and mitochondrial membrane potential
Analyze reactive oxygen species production under stress conditions
Evaluate ATP synthesis capacity in mutants versus wild-type
The CRISPR system efficiency can be optimized by using NHEJ-deficient strains (ku70 mutants), which have demonstrated editing efficiencies approaching 100% in D. hansenii .
Comparative genomics approaches can reveal important insights about ND4L evolution:
Sequence Conservation Analysis:
Alignment of ND4L sequences across yeast species reveals conservation patterns
Identification of D. hansenii-specific residues that may contribute to halotolerance
Analysis of selection pressure on different protein domains
Phylogenetic Reconstruction:
Construction of ND4L phylogenetic trees to trace evolutionary history
Correlation of sequence changes with adaptation to high-salt environments
Identification of convergent evolution in halotolerant species
Codon Usage Analysis:
Evaluation of alternative codon usage patterns in D. hansenii ND4L
Assessment of codon adaptation index in relation to expression levels
Implications for heterologous expression and protein engineering
Structural Prediction and Comparison:
Computational modeling of ND4L structure across species
Identification of structural adaptations in halotolerant yeasts
Prediction of functional consequences of amino acid substitutions
D. hansenii belongs to the CUG clade of yeasts that exhibit alternative genetic code usage, which has implications for the evolution of mitochondrial genes like ND4L. The genome sequencing of D. hansenii in 2004 provides a foundation for these comparative analyses .
For comprehensive multi-omics analysis of ND4L regulation, researchers should consider:
Experimental Design for Multi-omics Integration:
Data Collection Methods:
Computational Integration Strategies:
Correlation analysis between transcript and protein abundance
Network analysis to identify regulatory hubs
Machine learning approaches for pattern recognition
Pathway enrichment analysis focusing on mitochondrial function
Validation Approaches:
Targeted gene expression studies (RT-qPCR)
Western blotting for protein abundance validation
Activity assays to link molecular changes to functional outcomes
Recent research has successfully applied integrative -omics approaches to understand D. hansenii's responses to high salt concentrations, demonstrating that sodium and potassium trigger different responses at both expression and regulation of protein activity levels . Similar approaches could be adapted specifically for studying ND4L regulation.
Investigating strain-specific variations in ND4L requires:
Comparative Genomic Approaches:
Sequencing of ND4L across a diverse collection of D. hansenii strains
Identification of natural variants and their correlation with phenotypic traits
Association studies linking specific polymorphisms to halotolerance levels
Expression Analysis Methodology:
RT-qPCR for quantitative expression comparison across strains
Reporter gene assays to assess promoter activity variations
In situ hybridization to evaluate spatial expression patterns
Functional Characterization Protocol:
Respirometric analysis of mitochondrial function in different strains
Growth profiling under varying salt concentrations
Cross-complementation studies between strains with different ND4L variants
High-throughput Phenotyping:
Automated growth curve analysis under standardized conditions
Metabolic profiling to detect strain-specific differences
Stress response assays to categorize strains by resistance profiles
Recent studies have begun to explore intraspecies behavioral characteristics of novel D. hansenii strains in response to sodium and their ability to tolerate various stress conditions . Similar approaches could be applied specifically to study the role of ND4L variation in these phenotypic differences.
To study protein-protein interactions involving ND4L, researchers should consider:
In vivo Interaction Analysis:
Split-reporter systems (e.g., split-GFP, BRET, FRET)
Co-immunoprecipitation with epitope-tagged ND4L
Proximity-dependent biotin labeling (BioID, APEX)
Yeast two-hybrid adapted for mitochondrial membrane proteins
In vitro Interaction Studies:
Pull-down assays with recombinant proteins
Surface plasmon resonance for kinetic analysis
Isothermal titration calorimetry for thermodynamic parameters
Cross-linking mass spectrometry to map interaction interfaces
Structural Analysis Methods:
Cryo-electron microscopy of intact respiratory complexes
NMR studies of specific domains or peptides
X-ray crystallography of stable subcomplexes
Bioinformatic Prediction and Validation:
Computational prediction of interaction networks
Coevolution analysis to identify interacting residues
Molecular docking simulations to predict binding modes
Conservation analysis of interaction interfaces
For optimal results, these studies should be conducted under conditions that mimic the physiological environment of D. hansenii, including appropriate salt concentrations, as the protein interactions may be influenced by the halotolerant nature of the organism.
Integrating metabolomics with genetic studies of ND4L requires:
Experimental Design Considerations:
Metabolite Extraction and Analysis Methods:
Optimized extraction protocols for polar and non-polar metabolites
Targeted LC-MS/MS for specific metabolic pathways
Untargeted metabolomics for discovery of novel metabolic signatures
Stable isotope labeling to track metabolic fluxes
Data Integration Framework:
Correlation of metabolite levels with ND4L expression/activity
Pathway analysis focusing on energy metabolism
Flux balance analysis incorporating ND4L function
Machine learning approaches to identify metabolic signatures of ND4L variants
Validation Strategies:
Enzyme activity assays for key metabolic reactions
Oxygen consumption measurements
ATP/ADP ratio determination
Redox balance assessment (NAD+/NADH, GSH/GSSG)