Recombinant Drosophila yakuba NADH-ubiquinone oxidoreductase chain 4L (mt:ND4L)

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Description

Mitochondrial Evolution and Introgression

Studies on D. yakuba and D. santomea hybrids reveal:

  • Sequential Introgression: D. yakuba mtDNA has replaced D. santomea lineages in hybrid zones, driven by adaptive advantages .

  • Muller’s Ratchet: Faster accumulation of deleterious mutations in D. santomea may explain mtDNA replacement .

AI-Driven Drug Discovery

Receptor.AI’s analysis highlights:

  1. Conformational Dynamics: AI-generated ensembles capture functional states critical for ligand binding.

  2. Binding Pocket Identification: Allosteric pockets identified for small-molecule targeting .

  3. Virtual Screening: Prioritized compounds with ADME-Tox profiles for Complex I modulation .

Disease Modeling

While D. yakuba mt:ND4L is not directly linked to human disease, homologs like human MT-ND4L are associated with:

  • Leber’s Hereditary Optic Neuropathy (LHON): A Val65Ala mutation disrupts Complex I function, leading to optic atrophy .

  • Metabolic Disorders: Variants correlate with increased BMI, obesity, and diabetes risk .

Clinical and Therapeutic Relevance

AspectDetails
Disease AssociationHuman MT-ND4L mutations linked to LHON and metabolic disorders
Therapeutic TargetsModulating Complex I activity to restore ATP production in mitochondrial diseases
ChallengesHydrophobicity limits drug permeability; off-target effects in Complex I subunits

Emerging Strategies:

  • Small-Molecule Modulators: Receptor.AI’s focused libraries include compounds targeting cryptic pockets .

  • Gene Therapy: CRISPR-based editing of mt:ND4L mutations in human models under investigation .

Key Challenges

  • Structural Complexity: Low-resolution cryo-EM data hinder precise ligand design.

  • Mitochondrial Delivery: Poor cellular uptake of recombinant proteins limits in vivo applications .

Future Research

  1. Hybrid Approaches: Combining AI-driven pocket identification with high-throughput screening.

  2. Species-Specific Models: Leveraging Drosophila introgression studies to study adaptive mtDNA evolution .

  3. Biomarker Development: ELISA assays for mt:ND4L in diagnostic workflows .

Product Specs

Form
Lyophilized powder
Note: While we prioritize shipping the format currently in stock, please specify your format preference during order placement for customized preparation.
Lead Time
Delivery times vary depending on the purchasing method and location. Please contact your local distributor for precise delivery estimates.
Note: Our proteins are shipped with standard blue ice packs. Dry ice shipping requires prior arrangement and incurs additional charges.
Notes
Avoid repeated freeze-thaw cycles. Store working aliquots at 4°C for up to one week.
Reconstitution
Centrifuge the vial briefly before opening to consolidate the contents. Reconstitute the protein in sterile, deionized water to a concentration of 0.1-1.0 mg/mL. We recommend adding 5-50% glycerol (final concentration) and aliquoting for long-term storage at -20°C/-80°C. Our standard glycerol concentration is 50% and serves as a guideline.
Shelf Life
Shelf life depends on various factors including storage conditions, buffer composition, temperature, and protein stability. Generally, liquid formulations have a 6-month shelf life at -20°C/-80°C, while lyophilized forms have a 12-month shelf life at -20°C/-80°C.
Storage Condition
Store at -20°C/-80°C upon receipt. Aliquot for multiple uses to prevent repeated freeze-thaw cycles.
Tag Info
Tag type is determined during manufacturing.
Tag type is determined during production. If you require a specific tag, please inform us, and we will prioritize its development.
Synonyms
mt:ND4L; ND4L; NADH-ubiquinone oxidoreductase chain 4L; NADH dehydrogenase subunit 4L
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-96
Protein Length
full length protein
Species
Drosophila yakuba (Fruit fly)
Target Names
mt:ND4L
Target Protein Sequence
MIMILYWSLPMILFILGLFCFVSNRKHLLSMLLSLEFIVLMLFFMLFIYLNMLNYENYFS MMFLTFSVCEGALGLSILVSMIRTHGNDYFQSFSIM
Uniprot No.

Target Background

Function

Core subunit of the mitochondrial membrane respiratory chain NADH dehydrogenase (Complex I). It's considered part of the minimal assembly required for catalysis. Complex I facilitates electron transfer from NADH to the respiratory chain, with ubiquinone believed to be the immediate electron acceptor.

Database Links

KEGG: dya:ND4L

Protein Families
Complex I subunit 4L family
Subcellular Location
Mitochondrion membrane; Multi-pass membrane protein.

Q&A

What is the structure and sequence of Drosophila yakuba mt:ND4L protein?

Drosophila yakuba NADH-ubiquinone oxidoreductase chain 4L (mt:ND4L) is a full-length protein consisting of 96 amino acids. The complete amino acid sequence is:

MIMILYWSLPMILFILGLFCFVSNRKHLLSMLLSLEFIVLMLFFMLFIYLNMLNYENYFSMMFLTFSVCEGALGLSILVSMIRTHGNDYFQSFSIM

This hydrophobic protein functions as part of mitochondrial Complex I and is encoded by the mitochondrial genome of D. yakuba. The protein contains multiple transmembrane domains that anchor it within the inner mitochondrial membrane, where it participates in proton pumping coupled to electron transfer from NADH to ubiquinone during oxidative phosphorylation. When examining the sequence, researchers should note the high proportion of hydrophobic residues and the conserved functional domains that facilitate interactions with other Complex I subunits.

How does D. yakuba mt:ND4L differ from homologous proteins in other Drosophila species?

The mt:ND4L protein from D. yakuba exhibits significant evolutionary divergence from other Drosophila species, reflecting both neutral drift and selective pressures. Comparative analyses reveal that NADH dehydrogenase subunits, including mt:ND4L, accumulate amino acid substitutions at significantly higher rates than components of the cytochrome c complex across the Drosophila phylogeny .

This accelerated evolution appears non-uniform across the protein structure, with certain functional domains showing higher conservation. When conducting comparative studies, researchers should focus on:

  • Regions with species-specific substitutions that may indicate adaptation to different metabolic requirements

  • Conservation patterns in transmembrane domains versus loop regions

  • Sites showing signatures of positive selection that may reflect functional adaptation

  • Codon usage bias differences that exist across different mt:ND4L haplotypes

These differences provide valuable insights into mitochondrial evolution and can inform experimental design when using recombinant proteins from different species.

What are the optimal storage and reconstitution conditions for recombinant mt:ND4L protein?

Proper handling of recombinant mt:ND4L is critical for maintaining protein integrity and functionality in experimental applications. The recombinant His-tagged protein is typically provided as a lyophilized powder with greater than 90% purity as determined by SDS-PAGE . For optimal results:

Storage conditions:

  • Store lyophilized protein at -20°C/-80°C upon receipt

  • Aliquot reconstituted protein to avoid repeated freeze-thaw cycles

  • Working aliquots may be stored at 4°C for up to one week

  • Avoid repeated freezing and thawing as this significantly reduces protein activity

Reconstitution protocol:

  • Briefly centrifuge the vial prior to opening to bring contents to the bottom

  • Reconstitute in deionized sterile water to a concentration of 0.1-1.0 mg/mL

  • Add glycerol to a final concentration of 5-50% (50% is recommended) for long-term storage

  • Divide into small aliquots for single-use applications

Researchers should verify protein stability and activity after reconstitution using appropriate functional assays, particularly when the protein will be used for complex experimental procedures such as enzyme kinetics or structural studies.

What are the recommended approaches for studying recombinant mt:ND4L function in vitro?

Investigating the function of recombinant mt:ND4L requires specialized approaches due to its hydrophobic nature and integration within the multisubunit Complex I. Several methodological strategies have proven effective:

Reconstitution into liposomes:

  • Incorporate purified recombinant mt:ND4L into phospholipid vesicles along with other Complex I components

  • Measure proton pumping activity using pH-sensitive fluorescent dyes

  • Assess electron transfer capabilities using artificial electron acceptors

Biophysical characterization:

  • Circular dichroism (CD) spectroscopy to analyze secondary structure content

  • Fluorescence spectroscopy to examine conformational changes under various conditions

  • Surface plasmon resonance (SPR) to study interactions with other Complex I subunits

Functional complementation:

  • Express recombinant mt:ND4L in systems with defective endogenous protein

  • Measure restoration of NADH:ubiquinone oxidoreductase activity

  • Quantify ATP production and oxygen consumption rates

When designing these experiments, researchers should consider including appropriate controls such as denatured protein preparations and site-directed mutants of conserved residues to validate specific functions attributed to mt:ND4L.

How can researchers effectively use mt:ND4L to study mitochondrial introgression between D. yakuba and related species?

The mt:ND4L gene provides an excellent model for studying mitochondrial introgression due to documented cases of mtDNA exchange between D. yakuba and D. santomea. To leverage this system effectively:

Sequencing and phylogenetic analysis:

  • Amplify the mt:ND4L region from multiple populations of both species

  • Construct phylogenetic trees to identify potential introgression events

  • Implement statistical tests (e.g., ABBA-BABA tests) to distinguish introgression from incomplete lineage sorting

Functional validation of introgressed haplotypes:

  • Express recombinant proteins from both native and introgressed mt:ND4L variants

  • Compare enzymatic activities under standardized conditions

  • Assess fitness effects in hybrid backgrounds versus parental backgrounds

Population genetic analyses:

  • Calculate sequence divergence between populations and species

  • Analyze selective signatures using tests like McDonald-Kreitman or HKA

  • Determine the frequency and geographical distribution of introgressed haplotypes

This research has revealed at least two independent events of mtDNA introgression, including an early invasion of D. yakuba mitochondrial genome that completely replaced D. santomea native mtDNA haplotypes and a more recent ongoing event centered in the hybrid zone . These findings provide compelling evidence that mitochondrial introgression may be driven by selective advantages rather than neutral processes.

What experimental designs are most appropriate for studying cytonuclear interactions involving mt:ND4L?

Cytonuclear interactions—genetic interactions between mitochondrial genes like mt:ND4L and nuclear genes—are critical for understanding mitochondrial function and evolution. Effective experimental designs include:

Cybrid/transmitochondrial approaches:

  • Generate cell lines with identical nuclear backgrounds but different mt:ND4L variants

  • Measure respiratory complex assembly, stability, and function

  • Quantify fitness parameters including growth rates and stress responses

Genetic crosses in Drosophila:

  • Create lines with controlled nuclear backgrounds and different mitochondrial haplotypes

  • Measure phenotypic traits across multiple generations

  • Identify nuclear modifier genes that interact with specific mt:ND4L variants

Molecular interaction studies:

  • Express recombinant nuclear-encoded Complex I subunits that interact with mt:ND4L

  • Perform co-immunoprecipitation or two-hybrid assays to detect physical interactions

  • Assess the impact of sequence variations on interaction strength and specificity

These approaches have revealed that cytonuclear interactions involving mitochondrial components like mt:ND4L can significantly impact phenotypic fitness in Drosophila , challenging the traditional assumption that mitochondrial genetic variation evolves neutrally.

How does selection operate on mt:ND4L in Drosophila populations?

Understanding the evolutionary forces acting on mt:ND4L provides insights into mitochondrial genome evolution and adaptation. Multiple lines of evidence indicate that mt:ND4L does not evolve under strict neutrality:

Evidence for selection on mt:ND4L:

  • NADH dehydrogenase subunits, including mt:ND4L, accrue significantly more amino acid substitutions than components of the cytochrome c complex

  • Tests of molecular selection on the Drosophila mitogenome reveal scope for both weak and positive selection on various regions

  • Recent introgression events involving the mt:ND4L gene between D. yakuba and D. santomea bear signatures of Darwinian natural selection

Patterns of sequence evolution:

  • An excess of polymorphisms within species that ultimately do not reach fixation

  • Variable evolutionary rates across different lineages and protein domains

  • Differences in codon usage bias at synonymous sites

These findings suggest that mt:ND4L evolution follows a model of nearly neutral evolution, in which polymorphisms with slightly deleterious effects can accumulate within species but are less likely to reach fixation between species. When studying mt:ND4L evolution, researchers should employ multiple statistical tests, including McDonald-Kreitman tests, dN/dS ratios, and neutrality tests like Tajima's D to comprehensively evaluate the selective forces at work.

What can mt:ND4L tell us about Muller's ratchet in mitochondrial genomes?

The mt:ND4L gene provides valuable insights into Muller's ratchet—the accumulation of deleterious mutations in asexual genomes—in mitochondrial evolution:

Evidence from Drosophila species:

  • The smaller effective population size of D. santomea compared to D. yakuba may accelerate the accumulation of mildly deleterious mutations

  • This mutational load might have facilitated the replacement of the D. santomea mitochondrial genome with that of D. yakuba

  • Patterns of amino acid substitutions in mt:ND4L are consistent with predictions of nearly neutral evolution under Muller's ratchet

Experimental approaches to study this phenomenon:

  • Compare rates of nonsynonymous substitutions in mt:ND4L across species with different effective population sizes

  • Measure the functional effects of accumulated mutations in recombinant proteins

  • Track mutational patterns in experimental evolution studies using different population sizes

The mt:ND4L gene serves as an excellent marker for investigating these dynamics because NADH dehydrogenase subunits show higher rates of amino acid substitutions compared to other mitochondrial genes , potentially making them more susceptible to the effects of Muller's ratchet.

How does mt:ND4L codon usage compare across Drosophila species, and what evolutionary insights does this provide?

Codon usage patterns in mt:ND4L provide important clues about selection pressures and constraints on mitochondrial genes:

Codon usage patterns in D. yakuba mt:ND4L:

  • Strong bias toward codons ending in A or T (93.8% of all codons)

  • Use of non-standard initiation codons including ATG, ATT, ATA, and in some cases ATAA

  • Exclusive use of TAA as a termination codon

  • Mitochondrial genetic code differences, with AGA, ATA, and TGA specifying serine, isoleucine, and tryptophan, respectively

Comparative analysis across species:

  • Differences in codon usage bias at synonymous sites across different mtDNA genes and haplotypes

  • Variation in A/T representation in regions between coding genes

  • Evidence of weak selection on synonymous sites despite high mutation rates

These patterns suggest that codon usage in mt:ND4L is shaped by a combination of mutational bias toward A+T and weak selection for translational efficiency or accuracy. Researchers studying mt:ND4L should consider these biases when designing recombinant expression systems, as codon optimization may be necessary for efficient expression in heterologous hosts.

How can recombinant mt:ND4L be used to investigate mitochondrial disease mechanisms?

Recombinant mt:ND4L serves as a valuable tool for studying mitochondrial diseases associated with Complex I dysfunction:

Structure-function relationship studies:

  • Generate site-directed mutants corresponding to disease-associated variants

  • Express and purify mutant proteins for functional characterization

  • Assess effects on protein stability, integration into Complex I, and enzymatic activity

Cellular models of disease:

  • Introduce recombinant wild-type or mutant mt:ND4L into cybrid cell lines

  • Measure impacts on mitochondrial membrane potential and ROS production

  • Evaluate cellular consequences including apoptosis sensitivity and metabolic adaptations

Therapeutic screening platforms:

  • Develop assays using purified recombinant mt:ND4L to screen for compounds that stabilize mutant proteins

  • Test small molecules that might enhance residual activity of dysfunctional mt:ND4L

  • Identify compounds that can bypass compromised mt:ND4L function

While direct human disease mutations in mt:ND4L are relatively rare compared to other Complex I subunits, the high conservation of functional domains makes the Drosophila protein a suitable model for studying the effects of mutations in homologous regions of human mt:ND4L.

What are the methodological challenges in studying mt:ND4L interactions with other Complex I components?

Investigating how mt:ND4L interacts with other components of Complex I presents several technical challenges that require specialized approaches:

Challenges and solutions in protein-protein interaction studies:

ChallengeMethodological ApproachKey Considerations
Hydrophobicity of mt:ND4LUse of specialized detergents or membrane mimetics (nanodiscs, liposomes)Detergent selection critical for maintaining native interactions
Low expression yieldsOptimization of expression systems (bacterial, insect, cell-free)Consider fusion tags to enhance solubility and expression
Transient interactionsCross-linking approaches combined with mass spectrometryUse multiple cross-linkers with different spacer lengths
Complex assembly dynamicsTime-resolved fluorescence or FRET-based assaysLabel proteins at positions that don't disrupt interactions
Distinguishing direct vs. indirect interactionsSystematic mutagenesis combined with interaction assaysFocus on evolutionary conserved residues first

Researchers should combine multiple complementary approaches to build a comprehensive understanding of mt:ND4L interactions, as each method has specific limitations. Additionally, considering the entire Complex I assembly process rather than isolated binary interactions will provide more physiologically relevant insights.

How can researchers effectively use mt:ND4L to study mitochondrial-nuclear coevolution?

The mt:ND4L gene represents an excellent model for investigating mitochondrial-nuclear coevolution due to its critical interactions with nuclear-encoded Complex I subunits:

Experimental approaches:

  • Create mitonuclear introgression lines with different combinations of mt:ND4L variants and nuclear backgrounds

  • Measure fitness effects and biochemical phenotypes across different environmental conditions

  • Identify compensatory mutations in nuclear-encoded interacting partners that rescue deleterious mt:ND4L variants

Computational and evolutionary analyses:

  • Perform phylogenetic analyses to identify correlated evolutionary changes between mt:ND4L and nuclear-encoded Complex I subunits

  • Use coevolution detection algorithms to identify potentially interacting residues

  • Apply population genetic approaches to detect signatures of selection on interacting genes

Structural biology integration:

  • Map coevolving residues onto structural models of the mt:ND4L-nuclear subunit interface

  • Validate predicted interactions using site-directed mutagenesis and functional assays

  • Use this information to build predictive models of mitonuclear compatibility

Studies in Drosophila have revealed that cytonuclear interactions can significantly impact phenotypic fitness , and the well-documented cases of mitochondrial introgression between D. yakuba and D. santomea provide natural experiments for studying these dynamics .

What are common challenges in the expression and purification of recombinant mt:ND4L, and how can they be addressed?

Recombinant expression of mt:ND4L presents several technical challenges due to its hydrophobic nature and mitochondrial origin:

Expression challenges and solutions:

ChallengeSolution ApproachTechnical Considerations
Poor expression in E. coliOptimize codon usage for E. coliD. yakuba mt:ND4L has strong A+T bias (93.8%) that may cause translational issues
Protein toxicity to host cellsUse tightly regulated inducible systemsConsider lower induction temperatures (16-20°C) and reduced inducer concentrations
Protein aggregationExpress as fusion with solubility tags (MBP, SUMO)Include appropriate proteases for tag removal post-purification
Incorrect foldingCo-express with chaperones (GroEL/ES)Consider membrane-specific chaperones like Oxa1 or YidC
Low yield from inclusion bodiesOptimize refolding conditionsScreen different detergents and lipid compositions

Purification troubleshooting:

  • For His-tagged mt:ND4L, use IMAC under denaturing conditions followed by refolding

  • Consider on-column refolding with decreasing denaturant gradients

  • Validate protein folding using CD spectroscopy before functional studies

  • For applications requiring native protein, consider extraction directly from membrane fractions using mild detergents

When working with the commercially available recombinant His-tagged mt:ND4L, researchers should carefully follow the reconstitution guidelines to maintain protein stability and functionality .

How should researchers interpret unexpected results when comparing mt:ND4L variants from different Drosophila populations?

When studying mt:ND4L variants from different populations or species, unexpected results may arise from various biological and technical factors:

Interpreting functional differences:

  • Consider whether differences reflect adaptive evolution or slightly deleterious mutations

  • Evaluate the role of mitonuclear incompatibilities by testing in multiple nuclear backgrounds

  • Assess if variations affect protein stability versus catalytic function using appropriate assays

Common sources of unexpected results:

  • Introgression between species may lead to unexpected phylogenetic patterns

  • Heteroplasmy (multiple mtDNA variants in a single individual) may confound population-level analyses

  • Laboratory populations may have experienced genetic drift or selection

  • Functional assays may be influenced by residual detergents or improper reconstitution

Validation approaches:

  • Confirm sequence accuracy through repeated sequencing from multiple individuals

  • Perform reciprocal experiments in different genetic backgrounds

  • Use multiple complementary assays to measure the same functional parameter

  • Include appropriate controls including ancestral/consensus sequences when possible

The documented cases of selective mitochondrial introgression between D. yakuba and D. santomea highlight the importance of considering population history when interpreting mt:ND4L sequence and functional variation .

What statistical approaches are most appropriate for analyzing evolutionary patterns in mt:ND4L sequence data?

Analyzing evolutionary patterns in mt:ND4L requires appropriate statistical methods that account for the unique properties of mitochondrial sequences:

Recommended statistical approaches:

Analysis GoalStatistical MethodApplication Notes
Detecting selective pressuresMcDonald-Kreitman testCompare within-species polymorphism to between-species divergence
Identifying adaptive evolutiondN/dS ratio analysisUse branch-site models to detect positive selection on specific lineages
Testing neutralityTajima's D, Fu & Li's testsInterpret carefully as demographic effects can mimic selection
Estimating divergence timesBayesian phylogenetics (BEAST)Calibrate using geological events or fossil data
Detecting introgressionABBA-BABA tests, PhyloNetRequired for distinguishing introgression from incomplete lineage sorting
Identifying coevolving sitesMutual information analysesUseful for detecting compensatory mutations

Considerations for mt:ND4L analysis:

  • Account for the high A+T content bias (92.8% in some regions)

  • Consider the non-standard mitochondrial genetic code used in Drosophila

  • Be aware that patterns suggesting positive selection could result from relaxed purifying selection

  • Integrate population genetic data with functional assays of recombinant proteins

Studies on D. yakuba and D. santomea have effectively used these approaches to detect signatures of Darwinian natural selection in introgressed mitochondrial haplotypes , demonstrating the value of combining multiple statistical methods.

What emerging technologies could advance our understanding of mt:ND4L function and evolution?

Several cutting-edge technologies hold promise for deeper insights into mt:ND4L biology:

Cryo-electron microscopy:

  • Determine high-resolution structures of mt:ND4L within intact Complex I

  • Visualize conformational changes during catalytic cycles

  • Map the precise locations of evolutionary variable versus conserved regions

CRISPR-based mitochondrial genome editing:

  • Introduce specific mutations into mt:ND4L in vivo

  • Create heteroplasmic models with controlled proportions of variant mtDNAs

  • Study phenotypic effects of mt:ND4L variants in physiologically relevant contexts

Single-molecule functional assays:

  • Measure activity and dynamics of individual Complex I molecules

  • Detect rare or transient conformational states

  • Quantify the functional effects of specific mutations with unprecedented precision

Integrative multi-omics approaches:

  • Combine proteomics, metabolomics, and transcriptomics to understand how mt:ND4L variants affect cellular physiology

  • Identify compensatory mechanisms that mitigate deleterious effects

  • Map the network of genetic interactions influencing mt:ND4L function

These technologies will help resolve longstanding questions about the functional significance of evolutionary changes in mt:ND4L and their implications for mitochondrial biology and disease.

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