Recombinant Drosophila simulans Transmembrane GTPase fzo (fzo)

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Product Specs

Form
Lyophilized powder
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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 collect the contents. Reconstitute the protein in sterile deionized water to a concentration of 0.1-1.0 mg/mL. For long-term storage, we recommend adding 5-50% glycerol (final concentration) and aliquoting at -20°C/-80°C. Our standard glycerol concentration is 50%, provided 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 formulations have a 12-month shelf life at -20°C/-80°C.
Storage Condition
Upon receipt, store at -20°C/-80°C. Aliquot for multiple uses to prevent repeated freeze-thaw cycles.
Tag Info
Tag type is determined during manufacturing.
The tag type is determined during the production process. If you require a specific tag, please inform us, and we will prioritize its development.
Synonyms
fzo; Transmembrane GTPase fzo; Protein fuzzy onions; Fragment
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-454
Protein Length
full length protein
Species
Drosophila simulans (Fruit fly)
Target Names
fzo
Target Protein Sequence
SSMEPEMEQKVKDQHMERCVNLLVDELGVYSTAQEAWERIYHVSALEALHIRNGHIKNPS AQTKERYQEFLRFENDFSNCLAVSALKTKFGPHLLSAQKILNQLKSTLISPFIEKVSRLI DENKERRANLNAEIEEWELEMQDEREDLQYCFEELTEMTQRLGRCVLNDQIKTLIPSAVL SFSHPFHPEFPAQIGQYQRSLCAHLDNLLEDRVLQCLSIPLQRKILDMEKELGLQITEKS CDWQLIYGLDCQSYMSDFQPDLRFRFSLGFTALWHRLEGNLPLHSSPFRTQKLRNGHKKC LPLPPLVHGNHWQMLESLVKSKGSLGTVLLGAMAIRSFNWPIVMILGGLVGSFYMYEYAA WTTAAQERSFKSQYSRLLQQRLRTDVQQTVSGFELQLRQHLAKVRNCWEAQSNETLNDLN VRTAELTKQIQSMEVLQLSLKKFRDKGQLLASRL
Uniprot No.

Target Background

Function

Recombinant Drosophila simulans Transmembrane GTPase fzo (fzo): An essential transmembrane GTPase mediating mitochondrial fusion during spermatogenesis. In early spermatocytes, mitochondrial fusion generates two organelles, the Nebenkern, representing a critical step in mitochondrial morphology regulated by the balance between fusion and fission. This protein is essential for fertility.

Protein Families
TRAFAC class dynamin-like GTPase superfamily, Dynamin/Fzo/YdjA family, Mitofusin subfamily
Subcellular Location
Mitochondrion outer membrane; Multi-pass membrane protein.

Q&A

What is the fuzzy onions (fzo) gene and what is its primary function in Drosophila?

The fuzzy onions (fzo) gene encodes a transmembrane GTPase that plays a critical role in mitochondrial fusion. In Drosophila, mutations in fzo block developmentally regulated mitochondrial fusion events during spermatogenesis . The protein is part of a conserved family of transmembrane GTPases that function as molecular switches regulating key steps in mitochondrial membrane docking and fusion processes . The GTPase domain is exposed to the cytoplasm, while the protein spans the outer mitochondrial membrane and associates tightly with the inner mitochondrial membrane, allowing it to coordinate the behavior of both membranes during fusion events .

What phenotypes are associated with fzo mutations in Drosophila?

In Drosophila, mutations in the fzo gene primarily affect mitochondrial dynamics, particularly during developmental processes. The most well-documented phenotype occurs during spermatogenesis, where fzo mutations block mitochondrial fusion events that are normally developmentally regulated . This leads to defects in sperm development and male fertility issues. At the cellular level, fzo mutations typically result in fragmented mitochondria instead of the normal fused mitochondrial networks, as the protein is essential for the coordination of mitochondrial membrane docking and fusion processes . The specific phenotypic manifestations in D. simulans may have unique characteristics given the genetic differences between Drosophila species.

How might recombinant techniques be optimized for studying fzo function specifically in Drosophila simulans?

Optimizing recombinant techniques for D. simulans fzo requires consideration of several factors specific to this species. D. simulans shows significant differences in transposon content compared to D. melanogaster, with studies suggesting potential transposon reawakening and transpositional bursts . This could affect genomic integration strategies. Additionally, D. simulans exhibits reduced X-linked polymorphism compared to autosomal variation, which may influence experimental design depending on the chromosomal location of interest .

For recombinant expression, researchers should:

  • Consider using the site-specific recombination approaches similar to those used successfully for generating chromosome balancers in D. simulans . These approaches have demonstrated efficacy in this species and involve screening for loss and gain of fluorescent markers.

  • Adapt integration sites based on D. simulans-specific recombination landscapes, as the species has less heterogeneity in recombination rates compared to D. melanogaster .

  • When designing tagging strategies, maintain the native structure of key functional domains, particularly the GTPase domain which must remain exposed to the cytoplasm for proper function .

What are the key experimental considerations when analyzing mitochondrial fusion defects in D. simulans fzo mutants?

When analyzing mitochondrial fusion defects in D. simulans fzo mutants, researchers should consider these critical experimental factors:

  • Developmental timing: D. simulans shows differences in developmental timing of early meiosis compared to D. melanogaster, specifically in synaptonemal complex assembly relative to double-strand break formation . This suggests potentially species-specific timing of developmental processes that may affect when and how mitochondrial fusion events should be assayed.

  • Tissue specificity: While spermatogenesis phenotypes are well-established for fzo mutations, comprehensive analysis should include multiple tissues, particularly those with high energy demands requiring extensive mitochondrial networks.

  • Imaging techniques: Employ super-resolution microscopy combined with specific mitochondrial markers to precisely quantify fusion defects. Time-lapse imaging is particularly valuable for capturing dynamic fusion events.

  • Functional assays: Beyond morphological changes, measure functional consequences using assays for mitochondrial membrane potential, ATP production, and respiratory capacity to fully characterize the impact of fusion defects.

  • Control selection: Use appropriate genetic background controls that account for D. simulans' unique genomic features, including its lower transposon content compared to non-African D. melanogaster populations .

How do genetic background differences between D. simulans strains impact fzo functional studies?

Genetic background differences between D. simulans strains can significantly impact fzo functional studies in several ways:

  • Variable nucleotide polymorphism: D. simulans shows significant differences in silent polymorphism between chromosomes, with less polymorphism on the X chromosome than on 3R . This pattern, incompatible with predictions from theoretical studies on negative selection effects, suggests unique selective pressures that could influence fzo expression or function depending on its chromosomal location.

  • Recombination landscape: D. simulans has different recombination patterns compared to D. melanogaster, with relatively little heterogeneity in recombination rates across the genome . The centromere-associated reduction of crossing-over is restricted to a smaller physical region in D. simulans . These differences must be considered when designing genetic crosses for fzo studies.

  • Interchromosomal effects: Unlike D. melanogaster, D. simulans does not exhibit an interchromosomal effect (where heterozygous inversions increase crossover frequencies elsewhere in the genome) . This suggests fundamentally different mechanisms of genetic interaction that could affect how fzo mutations interact with other genetic elements.

  • Strain origin effects: D. simulans strains of different geographical origins may carry distinct genetic elements that interact with fzo. For comparison, D. melanogaster populations outside Africa typically exhibit higher transposon prevalence than African populations , and similar patterns might exist in D. simulans with potential implications for genetic stability in experimental systems.

What are the most effective protocols for generating and expressing recombinant fzo constructs in D. simulans?

Generating and expressing recombinant fzo constructs in D. simulans requires specialized approaches tailored to this species. Based on successful genetic engineering in D. simulans, the following protocol framework is recommended:

  • Vector selection and design:

    • Use attB-containing vectors compatible with the φC31 integrase system

    • Incorporate species-appropriate regulatory elements from D. simulans

    • Include fluorescent markers such as 3XP3-EYFP for screening success

  • Integration site selection:

    • Utilize characterized attP landing sites in D. simulans such as those described at positions 2L:6,583,842 or 3R:17,461,328

    • Consider chromosomal position effects based on D. simulans' unique recombination landscape

  • Transformation procedure:

    • Inject embryos using standard microinjection techniques with φC31 integrase

    • For heat-shock inducible systems, apply precisely timed heat shocks (37°C for 1 hour, followed by 1 hour at room temperature, then a second 37°C heat shock for 1 hour)

    • Screen transformants using appropriate fluorescent markers

  • Expression validation:

    • Confirm proper localization to mitochondrial membranes

    • Verify protein topology with the GTPase domain properly exposed to the cytoplasm

    • Perform functional complementation assays in fzo mutant backgrounds

This methodology takes advantage of established techniques that have proven successful for complex genetic engineering in D. simulans, including the generation of balancer chromosomes .

How can CRISPR-Cas9 genome editing be optimized for studying fzo function in D. simulans?

Optimizing CRISPR-Cas9 genome editing for studying fzo in D. simulans requires specific considerations:

  • Guide RNA design:

    • Design sgRNAs specific to D. simulans fzo sequences, accounting for any nucleotide differences from D. melanogaster

    • Use D. simulans genome assembly NCBI:GCA_016746395.1 as reference

    • Target conserved regions of the GTPase domain to ensure functional disruption

    • Validate sgRNA specificity against the D. simulans genome to minimize off-target effects

  • Delivery method:

    • Inject embryos with ribonucleoprotein complexes (Cas9 protein + sgRNA) rather than plasmid-based systems

    • Consider co-injection with donor templates containing visible markers like 3XP3-EYFP for easier screening

  • Repair template design:

    • For point mutations affecting the GTPase domain, design repair templates with homology arms >1kb

    • Include removable marker systems such as fluorescent proteins flanked by FRT sites

    • For domain replacements or tags, ensure fusion orientation preserves the critical membrane topology of fzo

  • Screening strategy:

    • Implement a two-step screening approach using fluorescent markers followed by molecular validation

    • For subtle mutations, design screening primers that specifically amplify or detect the edited sequence

  • Functional validation:

    • Assess mitochondrial morphology through fluorescent imaging

    • Measure mitochondrial fusion rates in appropriate cell types

    • Analyze GTPase activity of wildtype and mutant proteins

This approach has been successfully adapted for D. simulans as evidenced by the effective CRISPR-Cas9 mutagenesis of marker genes described in landing site modifications .

What biochemical approaches are most informative for studying recombinant D. simulans fzo protein function?

When investigating recombinant D. simulans fzo protein function, these biochemical approaches yield the most valuable insights:

  • GTPase activity assays:

    • Measure GTP hydrolysis rates using colorimetric phosphate release assays

    • Compare wildtype activity to point mutants in conserved GTPase domain residues

    • Establish kinetic parameters (Km, Vmax) under various conditions mimicking mitochondrial environments

  • Membrane interaction studies:

    • Utilize liposome reconstitution systems with lipid compositions matching D. simulans mitochondrial membranes

    • Measure membrane tubulation and fusion events through fluorescence microscopy and FRET-based assays

    • Assess protein topology using protease protection assays to verify the dual-membrane spanning model

  • Protein-protein interaction mapping:

    • Identify binding partners through co-immunoprecipitation followed by mass spectrometry

    • Confirm direct interactions using techniques like proximity labeling or yeast two-hybrid assays

    • Map interaction domains through truncation and point mutation analysis

  • Structural analysis:

    • Perform cryo-EM analysis of recombinant fzo in membrane environments

    • Use hydrogen-deuterium exchange mass spectrometry to identify conformational changes upon GTP binding

    • Apply in silico molecular dynamics simulations to predict GTP-dependent conformational shifts

  • In vitro fusion assays:

    • Reconstitute purified recombinant fzo into synthetic liposomes containing fluorescent lipids

    • Measure fusion events through lipid mixing assays and content mixing assays

    • Compare fusion efficiency between wildtype and mutant variants

These approaches collectively provide a comprehensive analysis of how fzo functions as a molecular switch regulating mitochondrial membrane docking and fusion .

How conserved is the fzo gene between D. simulans and other Drosophila species?

The conservation of fzo between D. simulans and other Drosophila species reflects its essential function in mitochondrial dynamics. While the provided search results don't directly address fzo sequence conservation, we can make informed inferences based on general patterns of genetic divergence between these species.

The functional domains of fzo, particularly the GTPase domain that is exposed to the cytoplasm, are likely highly conserved between species due to the critical role they play in mitochondrial fusion . Mutations in conserved GTPase domain residues disrupt mitochondrial fusion without affecting protein localization, highlighting the importance of this domain for function .

The transmembrane domains that span the outer mitochondrial membrane and associate with the inner mitochondrial membrane would also likely show high conservation, as this unique topology is required to coordinate the behavior of both membranes during fusion .

How do evolutionary pressures shape fzo function across Drosophila species?

Evolutionary pressures on fzo function across Drosophila species likely center on maintaining essential mitochondrial dynamics while adapting to species-specific energetic demands:

  • Purifying selection: The fundamental role of fzo in mitochondrial fusion, particularly during critical developmental processes like spermatogenesis , suggests strong purifying selection maintaining core functionality across species. The proposed role of fzo as a molecular switch regulating mitochondrial membrane docking and fusion represents a conserved mechanism unlikely to tolerate significant variation.

  • Species-specific adaptations: Despite core conservation, D. simulans shows numerous genomic differences from D. melanogaster, including patterns of polymorphism and developmental timing differences . These species-specific genomic contexts may drive subtle adaptations in fzo regulation or interaction networks.

  • Developmental constraints: D. simulans exhibits differences in meiotic processes compared to D. melanogaster, particularly in the timing of synaptonemal complex assembly relative to double-strand break formation . Such differences in developmental programming could influence the timing and regulation of mitochondrial fusion events mediated by fzo.

  • Interaction with mobile genetic elements: D. simulans populations show significant disparities in transposon content , which could influence genomic stability around the fzo locus or affect its expression regulation. The potential for transposon reawakening and transpositional bursts in D. simulans represents a unique evolutionary pressure potentially affecting gene function.

  • Energy metabolism adaptation: Different Drosophila species inhabit varied ecological niches with different energetic demands, potentially driving species-specific adaptations in mitochondrial dynamics regulated by fzo.

What can comparative studies of fzo across species tell us about mitochondrial fusion mechanisms?

Comparative studies of fzo across species provide profound insights into fundamental and adaptable aspects of mitochondrial fusion mechanisms:

  • Core conservation of fusion machinery: The functional conservation of fzo from Drosophila to yeast demonstrates the ancient evolutionary origins of mitochondrial fusion mechanisms . The yeast ortholog Fzo1p plays a directly analogous role in mitochondrial fusion during yeast mating, indicating a conserved core mechanism spanning vast evolutionary distances .

  • Topology requirements: Across species, fzo proteins maintain a distinctive topology spanning the outer mitochondrial membrane with tight association to the inner membrane . This conservation highlights the fundamental requirement for coordinating both membranes during fusion events.

  • GTPase domain function: The GTPase domain remains exposed to the cytoplasm across species, functioning as a molecular switch . Mutations in conserved GTPase residues disrupt fusion without affecting localization in both yeast and Drosophila, demonstrating the universal importance of GTP hydrolysis in driving conformational changes necessary for fusion.

  • Species-specific regulation: While the core machinery is conserved, regulatory mechanisms may differ between species. For instance, D. simulans shows differences in developmental timing of early meiosis compared to D. melanogaster , which could extend to differences in the timing or regulation of developmentally controlled mitochondrial fusion events.

  • Evolutionary adaptability: The persistence of fzo across diverse species demonstrates how a core cellular function can be maintained while allowing adaptations to species-specific requirements. Studying these adaptations can reveal which aspects of fusion mechanisms are absolutely essential versus those that can be modified through evolution.

What are the most promising approaches for studying fzo-mediated mitochondrial dynamics in D. simulans models?

Future research on fzo-mediated mitochondrial dynamics in D. simulans would benefit most from these emerging approaches:

  • Live cell super-resolution imaging: Combining lattice light-sheet microscopy with specific mitochondrial markers would allow real-time visualization of fusion events in developing D. simulans tissues. This approach could reveal species-specific patterns of mitochondrial dynamics, particularly during developmental processes where D. simulans shows unique timing relative to D. melanogaster .

  • Tissue-specific conditional knockouts: Developing D. simulans-specific GAL4-UAS systems combined with temperature-sensitive alleles would enable precise spatial and temporal control of fzo expression. This would help distinguish between developmental versus homeostatic roles of mitochondrial fusion.

  • Metabolomic profiling: Comprehensive metabolomic analysis comparing wildtype and fzo mutant D. simulans would provide insights into how mitochondrial fusion defects impact cellular metabolism in this species.

  • Interspecies hybrid studies: Analyzing mitochondrial dynamics in hybrids between D. simulans and D. melanogaster could reveal species-specific modifiers of fzo function and potentially identify novel components of the fusion machinery.

  • Single-cell transcriptomics: Applying single-cell RNA sequencing to tissues from fzo mutant D. simulans would reveal compensatory transcriptional networks and cell-type specific responses to fusion defects.

How can systems biology approaches enhance our understanding of fzo function in mitochondrial networks?

Systems biology approaches offer powerful frameworks for understanding fzo function within the complex mitochondrial network dynamics of D. simulans:

ApproachKey TechniquesExpected Insights
Network ModelingAgent-based simulations, differential equationsEmergent properties of mitochondrial networks
Multi-omics IntegrationMass spectrometry, RNA-seq, metabolomicsSystem-wide effects of fusion defects
Image AnalysisDeep learning, morphometric algorithmsQuantitative phenotyping of network defects
Evolutionary AnalysisComparative genomics, phylogeneticsSelective pressures on fusion machinery
Protein DynamicsMolecular dynamics simulationsConformational changes during GTP hydrolysis

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