Recombinant Dipodomys heermanni Cytochrome b (MT-CYB)

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Product Specs

Form
Lyophilized powder
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Lead Time
Delivery time may vary depending on the purchasing method and location. Please consult your local distributors for specific delivery information.
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Notes
Repeated freeze-thaw cycles are not recommended. Store working aliquots at 4°C for up to one week.
Reconstitution
We recommend centrifuging the vial briefly before opening to ensure the contents settle at the bottom. Reconstitute the protein in deionized sterile water to a concentration of 0.1-1.0 mg/mL. We suggest adding 5-50% glycerol (final concentration) and aliquoting for long-term storage at -20°C/-80°C. Our standard final concentration of glycerol is 50%. Customers can use this as a reference.
Shelf Life
The shelf life is influenced by various factors, including storage conditions, buffer components, storage temperature, and the inherent stability of the protein.
Generally, the shelf life of liquid form is 6 months at -20°C/-80°C. The shelf life of lyophilized form is 12 months at -20°C/-80°C.
Storage Condition
Upon receipt, store at -20°C/-80°C. Aliquoting is essential for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
Tag type will be determined during the manufacturing process.
The tag type will be determined during the production process. If you have a specific tag type preference, please inform us, and we will prioritize developing the specified tag.
Synonyms
MT-CYB; COB; CYTB; MTCYB; Cytochrome b; Complex III subunit 3; Complex III subunit III; Cytochrome b-c1 complex subunit 3; Ubiquinol-cytochrome-c reductase complex cytochrome b subunit; Fragment
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-79
Protein Length
full length protein
Species
Dipodomys heermanni (Heermann's kangaroo rat)
Target Names
Target Protein Sequence
SALFLAMHYTPDTITAFSSVTHICRDVNYGWLIRYIHANGASLFFICLYLHIGRGIYYGS YSYMETWNIGIILLILTMA
Uniprot No.

Target Background

Function
Cytochrome b (MT-CYB) is a component of the ubiquinol-cytochrome c reductase complex (complex III or cytochrome b-c1 complex) within the mitochondrial respiratory chain. This complex facilitates electron transfer from ubiquinol to cytochrome c. It plays a crucial role in generating a proton gradient across the mitochondrial membrane, which is subsequently used for ATP synthesis.
Protein Families
Cytochrome b family
Subcellular Location
Mitochondrion inner membrane; Multi-pass membrane protein.

Q&A

What is the mitochondrial cytochrome b gene in Dipodomys heermanni and why is it significant for research?

The mitochondrial cytochrome b (MT-CYB) gene in Dipodomys heermanni (Heermann's kangaroo rat) is a protein-coding gene located in the mitochondrial genome that encodes for cytochrome b, a critical component of the electron transport chain in complex III. This gene is particularly significant for research because it evolves at a moderate rate and shows both conserved and variable regions, making it valuable for phylogenetic studies and population genetics. The gene serves as an important molecular marker for studying evolutionary relationships among Dipodomys species and can provide insights into population structure, genetic diversity, and evolutionary history of these desert-adapted mammals .

How does D. heermanni MT-CYB compare structurally with cytochrome b from other rodent species?

Structurally, D. heermanni MT-CYB shares significant sequence homology with cytochrome b from other rodent species, particularly within the Heteromyidae family. When aligned with cytochrome b sequences from related species such as D. spectabilis and D. ordii, D. heermanni MT-CYB demonstrates characteristic conserved functional domains essential for electron transport activity while exhibiting species-specific variations in less functionally constrained regions. Comparative sequence analysis reveals that D. heermanni shares approximately 90-95% sequence identity with other Dipodomys species, but shows greater divergence from more distantly related rodents. These structural similarities and differences provide valuable information for understanding evolutionary relationships and adaptation mechanisms within the genus .

What are the optimal expression systems for producing recombinant D. heermanni MT-CYB?

The optimal expression systems for producing recombinant D. heermanni MT-CYB depend on research objectives and downstream applications. For high protein yield and proper folding, mammalian expression systems (CHO or HEK293 cells) provide the most native-like post-translational modifications and membrane insertion capability. For structural studies requiring simplified glycosylation patterns, insect cell systems (Sf9 or High Five) offer a good compromise between yield and proper folding. Bacterial systems (E. coli) may be used for producing portions of the protein for antibody generation but often struggle with full-length membrane protein expression. Yeast systems (P. pastoris) represent an intermediate option with moderate yields and some post-translational modification capability. Each system requires optimization of expression conditions including temperature, induction timing, and media composition to maximize functional protein production .

What methodological approaches are most effective for studying genetic adaptation in D. heermanni using MT-CYB sequence data?

The most effective methodological approaches for studying genetic adaptation in D. heermanni using MT-CYB sequence data involve integrating multiple analytical techniques. Begin with comprehensive sampling across the species' range, especially including populations from different ecological conditions. Sequence the complete MT-CYB gene along with nuclear markers for comparison. Apply multiple selection detection methods including site-specific analyses (PAML, MEME), branch-site models to detect lineage-specific selection, and population-level tests (McDonald-Kreitman, Tajima's D).

Advanced approaches should include structural modeling of the protein to map amino acid substitutions onto functional domains, followed by reconstructing ancestral sequences to identify specific adaptive mutations. Comparative analyses with related Dipodomys species, particularly examining selection patterns across species with different habitat specializations, can provide context for identifying convergent adaptation. Analysis of heterozygosity across the genome can also provide insights into historical effective population sizes and demographic changes that might influence adaptation patterns .

How can recombinant D. heermanni MT-CYB be utilized in studies of mitochondrial dysfunction related to arid adaptation?

Recombinant D. heermanni MT-CYB can serve as a valuable tool for investigating mitochondrial dysfunction related to arid adaptation through several experimental approaches. First, researchers can develop in vitro functional assays comparing the recombinant protein to cytochrome b from non-arid-adapted species to measure differences in electron transport efficiency, ROS production, and performance under varying temperature, pH, and osmolarity conditions that mimic arid environments.

For more advanced studies, the recombinant protein can be incorporated into proteoliposomes or nanodiscs to study membrane dynamics and protein-protein interactions within complex III. Site-directed mutagenesis of identified adaptive amino acid residues allows researchers to pinpoint specific molecular mechanisms of adaptation. The recombinant protein can also be used in protein replacement studies in cell culture systems with depleted endogenous cytochrome b to assess functional differences in cellular metabolism and stress response pathways. Combining these approaches with comparative analyses across multiple Dipodomys species with varying degrees of arid adaptation provides a comprehensive framework for understanding mitochondrial adaptations to extreme environments .

What are the challenges in distinguishing functional adaptation from phylogenetic signal when analyzing D. heermanni MT-CYB in comparative studies?

Distinguishing functional adaptation from phylogenetic signal when analyzing D. heermanni MT-CYB presents several significant challenges. The primary difficulty lies in separating selection-driven substitutions from those occurring through neutral evolutionary processes against the background of shared ancestry. This challenge is particularly pronounced in the genus Dipodomys, where species diverged approximately 10 Myr ago but may share similar arid adaptations due to common environmental pressures.

Methodologically, researchers must employ phylogenetically informed comparative methods that explicitly account for shared ancestry. This includes using phylogenetic comparative methods (PCMs) such as phylogenetic independent contrasts or phylogenetic generalized least squares when comparing traits across species. For sequence-based analyses, branch-site and branch models of molecular evolution that can detect episodic selection while accounting for tree topology are essential.

An additional complication arises from convergent evolution, where similar adaptive solutions may have evolved independently in different lineages, creating false signals of relatedness. Heterogeneous rates of evolution across different lineages can further obscure adaptive signals. To overcome these challenges, researchers should implement integrative approaches combining multiple lines of evidence, including protein structure-function analysis, experimental validation of functional effects of substitutions, and environmental correlation studies, while always controlling for phylogenetic relationships using robust molecular phylogenies based on multiple genetic markers .

What are the optimal PCR and sequencing protocols for accurately amplifying and analyzing MT-CYB from D. heermanni field samples?

For optimal PCR and sequencing of MT-CYB from D. heermanni field samples, a comprehensive methodological approach is required:

Sample Collection and DNA Extraction:

  • Collect tissue samples (ear clip or tail tip) in 95% ethanol or on FTA cards

  • Extract DNA using commercial kits optimized for small tissue samples (QIAamp DNA Mini Kit or DNeasy Blood & Tissue Kit)

  • Assess DNA quality using spectrophotometry (260/280 ratio >1.8) and gel electrophoresis

PCR Amplification Protocol:

  • Use conserved rodent MT-CYB primers with species-specific modifications

  • Implement touchdown PCR protocol to reduce non-specific amplification:

    • Initial denaturation: 95°C for 5 minutes

    • 5 cycles: 94°C for 30 sec, 55°C for 30 sec (decreasing by 1°C per cycle), 72°C for 60 sec

    • 30 cycles: 94°C for A30 sec, 50°C for 30 sec, 72°C for 60 sec

    • Final extension: 72°C for 10 minutes

Reaction Mixture:

  • Total volume: 25 μL containing:

    • 2.5 μL 10X buffer with 15 mM MgCl₂

    • 0.5 μL dNTPs (10 mM each)

    • 0.5 μL forward primer (10 μM)

    • 0.5 μL reverse primer (10 μM)

    • 0.2 μL high-fidelity polymerase (2 U/μL)

    • 2-5 μL template DNA (10-50 ng)

    • PCR-grade water to 25 μL

Sequencing Strategy:

  • Purify PCR products using ExoSAP-IT or column purification

  • Sequence in both directions using internal primers to ensure complete coverage

  • Implement next-generation sequencing for population-level studies

  • Validate sequences through comparison with reference genomes and repeated sequencing of ambiguous regions

What purification techniques yield the highest purity and activity for recombinant D. heermanni MT-CYB protein?

The purification of recombinant D. heermanni MT-CYB protein presents unique challenges due to its hydrophobic nature and membrane association. A systematic purification approach yields the highest purity and activity:

Initial Extraction:

  • For membrane-integrated expression, use a two-phase detergent extraction:

    • Primary solubilization with mild detergents (DDM or LMNG at 1% w/v)

    • Buffer composition: 50 mM Tris-HCl pH 7.5, 150 mM NaCl, 10% glycerol, protease inhibitors

    • Gentle agitation for 2-3 hours at 4°C followed by ultracentrifugation (100,000 × g, 1 hour)

Affinity Chromatography:

  • Use metal affinity chromatography with His-tagged constructs:

    • TALON or Ni-NTA resin with imidazole gradient elution (20-250 mM)

    • Maintain detergent concentration above CMC (typically 0.05-0.1%)

    • Include 10% glycerol and 1 mM DTT to maintain stability

Secondary Purification:

  • Size exclusion chromatography to separate monomeric protein:

    • Superdex 200 column equilibrated with buffer containing 0.05% DDM

    • Flow rate: 0.3-0.5 mL/min to maximize resolution

    • Collect 0.5 mL fractions and analyze by SDS-PAGE

Activity Assessment:

  • Cytochrome c reduction assay:

    • 50 mM potassium phosphate buffer pH 7.5, 1 mM EDTA

    • 50 μM cytochrome c

    • 50 μM decylubiquinol (reduced substrate)

    • Monitor absorbance change at 550 nm

    • Specific activity typically ranges from 10-20 μmol cytochrome c reduced/min/mg protein

Storage Conditions:

  • Store at -80°C in buffer containing 10% glycerol and 0.05% detergent

  • Maintain reducing environment with 1 mM DTT

  • Avoid freeze-thaw cycles by storing as single-use aliquots

What survival monitoring protocols are most effective for tracking translocated D. heermanni populations when studying MT-CYB genetic variation across habitats?

Effective survival monitoring protocols for tracking translocated D. heermanni populations while studying MT-CYB genetic variation require an integrated approach combining field techniques and genetic analyses:

Pre-Translocation Preparation:

  • Conduct comprehensive sampling of source population genetic diversity

  • Sequence MT-CYB from all individuals to be translocated

  • Implement PIT tagging for all individuals with subset receiving radio-collars

  • Record baseline health parameters including weight, reproductive status, and age

Release Strategy Options:

  • Hard release: Direct release into habitat without acclimation period

  • Soft release: 30-day acclimation in on-site cages with food provision

  • Semi-soft release: Shorter acclimation periods (≤10 days)

Survival Monitoring Protocol:

  • Radio-tracking schedule:

    • Intensive daily tracking for first 10 days post-release

    • 3× weekly monitoring from days 11-30

    • Weekly monitoring from days 31-180

    • Monthly monitoring thereafter

  • Record all burrow locations using GPS coordinates

  • Document movement distances, predation events, and habitat associations

Survival Data Collection and Analysis:

  • Implement regular trapping sessions:

    • Day 30: 3 consecutive nights

    • Day 60: 3 consecutive nights

    • Day 180: 4 consecutive nights

    • Annually thereafter: 5 consecutive nights

  • Calculate survival rates separately for each release method

  • Analyze movement patterns in relation to genetic profiles

From previous translocation studies of D. heermanni, hard-released individuals showed 60% 30-day survival compared to variable success with soft-released individuals (only 28.5% for those that escaped early from acclimation cages). Long-term (6-month) survival rates were estimated at 16.3% across all release methods, with genetic sampling indicating successful integration of translocated individuals into resident populations .

How should researchers interpret heterozygosity patterns in the MT-CYB gene of D. heermanni compared to other Dipodomys species?

When interpreting heterozygosity patterns in the MT-CYB gene of D. heermanni compared to other Dipodomys species, researchers must consider several key factors. First, as a mitochondrial gene, MT-CYB is typically maternally inherited without recombination, meaning apparent heterozygosity often represents either nuclear mitochondrial DNA segments (NUMTs), heteroplasmy, or sequencing artifacts rather than true allelic variation.

Comparative analysis from high-quality genome data shows D. heermanni typically exhibits moderate heterozygosity levels (approximately 0.0021) similar to D. stephensi (0.0023), while D. ordii shows notably lower heterozygosity (0.0012). These patterns must be interpreted within the context of each species' evolutionary history and demographic changes. Lower heterozygosity, as seen in D. ordii, may reflect recent population bottlenecks or founder effects rather than species-wide patterns.

When analyzing MT-CYB specifically, researchers should:

  • Distinguish between nuclear and mitochondrial copies through depth of coverage analysis

  • Compare heterozygosity patterns across multiple mitochondrial genes to identify gene-specific selection

  • Contextualize findings within the species' recent demographic history and habitat fragmentation patterns

  • Consider that heterozygosity in mitochondrial markers may not correlate with genome-wide diversity patterns

For meaningful interpretation, MT-CYB heterozygosity should be compared with nuclear markers to develop a comprehensive understanding of population genetic structure and historical effective population sizes .

What bioinformatic pipelines are most appropriate for analyzing recombinant D. heermanni MT-CYB expression data across different experimental conditions?

The most appropriate bioinformatic pipelines for analyzing recombinant D. heermanni MT-CYB expression data should integrate multiple analytical approaches tailored to different experimental data types:

RNA-Seq Data Analysis Pipeline:

  • Quality control: FastQC v0.11.9 for raw read assessment

  • Read trimming: Trimmomatic v0.39 (parameters: LEADING:20 TRAILING:20 SLIDINGWINDOW:4:20 MINLEN:50)

  • Reference-based alignment: STAR v2.7.10a with parameters optimized for splice variants

  • Expression quantification: RSEM v1.3.3 for transcript-level abundance estimation

  • Differential expression: DESeq2 with false discovery rate control (FDR < 0.05)

  • Functional annotation: Gene Ontology and KEGG pathway enrichment using clusterProfiler

Protein Expression Analysis Pipeline:

  • MS/MS data processing: MaxQuant v1.6.17.0 with 1% FDR at peptide and protein levels

  • Quantification: Label-free quantification with match-between-runs enabled

  • Statistical analysis: Perseus v1.6.14.0 for ANOVA and post-hoc tests

  • Visualization: ggplot2 and ComplexHeatmap in R for expression pattern visualization

Integrated Multi-Omics Analysis:

  • Data integration: mixOmics R package for correlation network analysis

  • Pathway analysis: Ingenuity Pathway Analysis or MetaboAnalyst for integrated interpretation

  • Machine learning approach: Random Forest models for identifying key expression patterns predictive of experimental conditions

Validation Process:

  • Implement cross-validation strategies (typically 5-fold cross-validation)

  • Calculate confidence intervals for expression estimates

  • Perform power analysis to ensure adequate sampling depth (>80% power to detect 1.5-fold changes)

  • Apply multiple testing correction (Benjamini-Hochberg procedure)

This comprehensive bioinformatic approach enables robust analysis of expression data while accounting for technical variation and biological complexity across different experimental conditions .

How can MT-CYB genetic data inform conservation translocation strategies for threatened D. heermanni populations?

MT-CYB genetic data can provide critical insights for developing effective conservation translocation strategies for threatened D. heermanni populations through several key applications:

MT-CYB sequencing enables identification of evolutionarily significant units (ESUs) and management units (MUs) within D. heermanni, ensuring that translocation efforts maintain the genetic integrity of distinct lineages. Population genetic structure analysis using MT-CYB can reveal historical gene flow patterns and inform optimal source population selection for translocation projects.

Research on D. heermanni translocation success rates demonstrates significant variation based on release methodology. Hard-released individuals showed 60% 30-day survival compared to variable success with soft-released individuals. These survival rates can be correlated with MT-CYB haplotypes to identify genetic factors potentially influencing translocation success.

A comprehensive translocation strategy incorporating MT-CYB data should include:

  • Pre-translocation genetic screening of source and destination populations

  • Selection of individuals with diverse MT-CYB haplotypes to maximize genetic diversity

  • Implementation of mixed release strategies (both hard and soft releases)

  • Intensive post-release monitoring using both radio-tracking and genetic sampling

  • Assessment of genetic integration through periodic sampling

Importantly, long-term monitoring data from previous D. heermanni translocations showed only 16.3% survival at 6 months post-release, highlighting the need for improved strategies informed by genetic data. By correlating MT-CYB variation with habitat preferences and survival outcomes, conservation managers can develop more targeted and effective translocation protocols for this arid-adapted species .

What insights can comparative analysis of MT-CYB sequences provide about the evolutionary adaptation of Dipodomys species to arid environments?

Comparative analysis of MT-CYB sequences across Dipodomys species provides profound insights into evolutionary adaptation to arid environments through several analytical approaches:

Molecular Evolution Patterns:
Cytochrome b plays a crucial role in the electron transport chain, and amino acid substitutions in this protein can affect metabolic efficiency and heat generation. Comparative sequence analysis across Dipodomys species reveals selection signatures in specific regions of the MT-CYB gene, particularly in transmembrane domains that influence proton pumping efficiency. Species inhabiting the most extreme arid environments show evidence of positive selection at sites involved in quinol binding and electron transfer, suggesting adaptation for metabolic efficiency under water-limited conditions.

Phylogeographic Patterns:
MT-CYB sequence data from multiple Dipodomys species reveals divergence patterns that correlate with historical climate changes in western North America. The approximately 10 Myr divergence between D. spectabilis, D. ordii, and D. stephensi coincides with major aridification events, suggesting climate-driven speciation. Species-specific adaptations in MT-CYB appear most pronounced in lineages inhabiting the most water-limited environments, with convergent changes observed in distantly related desert-specialist species.

Functional Domain Analysis:
When mapped to protein structure models, adaptive mutations in MT-CYB across Dipodomys species cluster in functional domains associated with:

  • Thermostability (modifications that maintain protein function at higher temperatures)

  • ROS management (changes that minimize oxidative damage under metabolic stress)

  • Energetic efficiency (substitutions that optimize ATP production under resource-limited conditions)

These comparative insights demonstrate how mitochondrial gene evolution has contributed to the remarkable ability of Dipodomys species to thrive in arid environments with limited water and food resources .

What are the most effective experimental designs for studying the functional effects of MT-CYB variants on mitochondrial performance in D. heermanni?

The most effective experimental designs for studying functional effects of MT-CYB variants on mitochondrial performance in D. heermanni employ a multi-tiered approach combining in vitro, cellular, and in vivo methods:

In Vitro Biochemical Assays:

  • Enzyme kinetics analysis comparing wild-type and variant recombinant MT-CYB proteins:

    • Measure Vmax and Km values under varying temperature conditions (10-45°C)

    • Assess enzyme stability through thermal denaturation curves

    • Quantify electron transfer rates using spectrophotometric methods

    • Compare activity under varying osmotic conditions to simulate water stress

Cellular Models:

  • Mitochondrial cybrid models where D. heermanni MT-CYB variants are expressed in cell lines lacking endogenous MT-CYB:

    • Measure oxygen consumption rates (OCR) using Seahorse XF analyzer

    • Quantify ROS production using fluorescent probes (MitoSOX, DCF-DA)

    • Assess membrane potential stability under temperature stress

    • Measure ATP production efficiency under nutrient-limited conditions

Experimental Design Considerations:

  • Implement factorial design examining:

    • MT-CYB variant type (reference sequence vs. variant of interest)

    • Environmental conditions (temperature, osmolarity, pH)

    • Substrate availability (varying concentrations of ubiquinol)

    • Presence of oxidative stressors

Statistical Analysis Approach:

  • Apply mixed-effects models accounting for:

    • Fixed effects: variant type, environmental conditions, and their interactions

    • Random effects: technical replicates, experimental batches

    • Covariates: protein concentration, cellular metabolic state

Validation Strategy:

  • Confirm functional impacts through heterologous expression in model organisms:

    • Yeast complementation assays using MT-CYB knockout strains

    • Drosophila models with conditional expression of D. heermanni MT-CYB variants

    • Measure physiological impacts including metabolic rate, thermotolerance, and desiccation resistance

This comprehensive experimental approach enables thorough characterization of the functional consequences of MT-CYB variants on mitochondrial performance across multiple biological scales and environmental conditions .

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