Avin_15630 is non-essential under diazotrophic (nitrogen-fixing) growth, as demonstrated by transposon sequencing (Tn-seq) fitness studies .
This suggests functional redundancy in A. vinelandii’s nitrogen fixation machinery, where other proteins compensate for Avin_15630 disruption .
Used to investigate oxygen-sensitive protein production in A. vinelandii, leveraging its ability to maintain intracellular anaerobic conditions .
Serves as a model for studying recombinant protein expression in non-E. coli systems, particularly under anaerobic conditions .
Available as a lyophilized antigen for ELISA-based studies, enabling antibody development and protein interaction analyses .
Located in a region of the A. vinelandii genome distinct from ATP synthase operons or alginate biosynthesis clusters .
Limited homology to septation proteins in other Gram-negative bacteria, suggesting a unique functional adaptation in A. vinelandii.
Functional Characterization: The exact biochemical role of Avin_15630 requires further validation via knockout studies or structural analyses (e.g., cryo-EM).
Biotechnological Potential: Its non-essential nature under nitrogen fixation makes it a candidate for metabolic engineering without disrupting core cellular processes.
KEGG: avn:Avin_15630
STRING: 322710.Avin_15630
The choice of expression system significantly impacts the functionality of recombinant proteins. For Azotobacter vinelandii Probable intracellular septation protein A, E. coli has been selected as the expression host . While E. coli offers advantages of rapid growth and high protein yields, researchers should consider several factors:
Post-translational modifications: Since E. coli lacks many eukaryotic post-translational modification mechanisms, any native modifications in Azotobacter might be absent in the recombinant form.
Protein folding: Bacterial septation proteins often contain membrane-spanning domains that may not fold properly in high-expression systems, potentially leading to inclusion bodies.
Functionality assessment: To verify proper folding and functionality, researchers should conduct activity assays specific to septation proteins, such as GTPase activity measurements or membrane binding assays.
If functional issues arise with E. coli-expressed protein, alternative expression systems could include yeast or insect cells, which might better accommodate the folding requirements of membrane-associated proteins .
For optimal stability of the Recombinant Azotobacter vinelandii Probable intracellular septation protein A, follow these evidence-based storage guidelines:
Short-term storage: Store working aliquots at 4°C for up to one week to minimize degradation during active research periods .
Long-term storage: Store at -20°C or preferably -80°C upon receipt .
Aliquoting strategy: Divide the protein into small single-use aliquots immediately upon reconstitution to prevent repeated freeze-thaw cycles, which can significantly compromise protein integrity .
Reconstitution considerations: When reconstituting the lyophilized powder, use buffers that maintain physiological pH (typically 7.2-7.4) with appropriate ionic strength to preserve native conformation.
Stability monitoring: Periodically verify protein integrity using SDS-PAGE or size exclusion chromatography to detect potential degradation products.
These storage recommendations are particularly important for membrane-associated proteins like septation proteins, which tend to be more susceptible to denaturation during freeze-thaw cycles compared to soluble proteins.
Optimizing co-immunoprecipitation (Co-IP) assays for identifying binding partners of septation protein A requires careful consideration of several parameters. Based on successful approaches with similar proteins, the following protocol modifications are recommended:
Cross-linking optimization: For transient protein-protein interactions common in cell division machinery, use adjustable cross-linking with DSP (dithiobis[succinimidyl propionate]) at concentrations between 0.5-2 mM for 20-30 minutes.
Lysis buffer composition:
For membrane proteins like septation protein A, use buffers containing:
25 mM HEPES (pH 7.4)
150 mM NaCl
1% digitonin or 0.5-1% DDM (n-dodecyl β-D-maltoside)
Protease inhibitor cocktail
1 mM PMSF
Antibody selection: If using the His-tagged recombinant protein, anti-His antibodies coupled to magnetic beads provide efficient capture while allowing native protein interactions .
Control experiments:
Use non-specific IgG as negative control
Include RNase A treatment controls to eliminate RNA-mediated indirect interactions
Perform reciprocal Co-IPs to validate interactions
The pull-down efficiency can be evaluated using western blotting, with >90% purity of the recombinant protein serving as a good starting point for interaction studies .
When facing discrepancies in localization studies of septation protein A, a multi-modal approach combining complementary techniques is recommended:
Fluorescence microscopy optimization:
Compare results using both N- and C-terminal fluorescent protein fusions
Verify functionality of fusion proteins by complementation assays
Use photoactivatable fluorescent tags for pulse-chase experiments to track protein dynamics during cell division
Super-resolution techniques:
Implement STORM or PALM microscopy to achieve 20-50 nm resolution
Use structured illumination microscopy (SIM) for live-cell imaging during the septation process
Biochemical fractionation validation:
Electron microscopy correlation:
Use immunogold labeling with antibodies against the His tag
Implement cryo-electron tomography to visualize septation complexes in their native state
Controlled expression systems:
Use inducible promoters to assess localization at different expression levels
Compare results between heterologous and homologous expression systems
This integrated approach will help distinguish genuine localization patterns from artifacts and resolve discrepancies in experimental data.
Understanding the interaction between Azotobacter vinelandii septation protein A and the divisome complex requires systematic investigation of potential binding partners and functional relationships:
Protein interaction network analysis:
Temporal assembly investigation:
Implement time-lapse microscopy with fluorescently labeled proteins
Analyze recruitment order using inducible depletion systems
Structural domains involved in interactions:
Create a panel of truncated constructs to map interaction domains
Introduce site-directed mutations in conserved residues to identify critical interaction sites
Based on the amino acid sequence (provided in the specifications), focus on hydrophobic regions that may mediate protein-protein interactions
Functional redundancy assessment:
Perform complementation studies with homologs from related species
Analyze synthetic phenotypes in combination with mutations in other divisome components
| Potential Divisome Component | Expected Interaction Technique | Detection Method |
|---|---|---|
| FtsZ | Co-IP, B2H | Western blot, Growth assay |
| FtsA | Co-IP, B2H | Western blot, Growth assay |
| FtsK | Pull-down | Mass spectrometry |
| ZipA | Co-IP | Western blot |
| FtsN | Crosslinking | SDS-PAGE |
These systematic approaches will help establish the role of septation protein A within the complex network of divisome proteins.
Maintaining the native conformation of septation protein A during purification requires careful optimization of multiple parameters:
Buffer composition optimization:
pH range: Test buffers at pH 7.0-8.0 to determine optimal stability
Salt concentration: Typically 150-300 mM NaCl to maintain solubility while preventing non-specific interactions
Stabilizing additives: Include 5-10% glycerol and 1-5 mM DTT to prevent aggregation and oxidation
Detergent selection: For membrane-associated proteins like septation protein A, mild detergents such as 0.05% DDM or 0.1% CHAPS help maintain native conformation
Multi-step purification strategy:
Initial capture: Ni-NTA affinity chromatography utilizing the N-terminal His tag
Intermediate purification: Ion exchange chromatography based on the protein's theoretical pI
Polishing step: Size exclusion chromatography to separate monomeric protein from aggregates
Quality control: Verify >90% purity by SDS-PAGE as indicated in the specifications
Temperature considerations:
Maintain all purification steps at 4°C to minimize proteolytic degradation
Include protease inhibitors (PMSF, leupeptin, aprotinin) in all buffers
Conformation verification methods:
Circular dichroism spectroscopy to assess secondary structure integrity
Dynamic light scattering to check for aggregation
Limited proteolysis to verify proper folding
Following these guidelines will help preserve the native conformation of the protein, which is essential for subsequent structural and functional studies.
Designing effective GTPase activity assays for septation protein A requires careful consideration of assay conditions and controls:
Colorimetric phosphate detection method:
Reaction mix: 50 mM Tris-HCl (pH 7.5), 5 mM MgCl₂, 1 mM DTT, 0.1 mg/ml BSA, 0.2 mM GTP
Protein concentration: Titrate purified recombinant protein from 0.1-5 μM to determine optimal concentration
Detection: Malachite green assay to quantify released inorganic phosphate
Controls: Include no-protein and no-GTP controls
HPLC-based nucleotide analysis:
Separate GDP from GTP using reverse-phase chromatography
Monitor the GTP:GDP ratio over time to calculate reaction rates
Use C18 columns with isocratic elution for optimal separation
Coupled-enzyme assay system:
Link GTP hydrolysis to NADH oxidation via pyruvate kinase and lactate dehydrogenase
Monitor decrease in absorbance at 340 nm in real-time
Advantages: Continuous measurement, high sensitivity
Factors affecting activity to investigate:
Divalent cation dependency: Test Mg²⁺, Mn²⁺, and Ca²⁺ at 1-10 mM
pH dependency: Evaluate activity across pH range 6.5-8.5
Temperature optimum: Test at 25°C, 30°C, and 37°C
Effect of membrane mimetics: Include liposomes or nanodiscs to simulate natural environment
Data analysis recommendations:
Calculate kinetic parameters (Km, Vmax) using Michaelis-Menten equation
Use Lineweaver-Burk plots to identify inhibition patterns
Report specific activity in nmol Pi released/min/mg protein
These methodological considerations will ensure reliable measurement of the intrinsic GTPase activity of septation protein A, providing insights into its functional mechanisms.
Identifying and comparing post-translational modifications (PTMs) between naturally occurring and recombinant septation protein A requires sophisticated analytical techniques:
Mass spectrometry-based approaches:
Bottom-up proteomics: Digest protein with trypsin and analyze resulting peptides by LC-MS/MS
Top-down proteomics: Analyze intact protein to preserve all modifications
Targeted analysis: Use multiple reaction monitoring (MRM) for specific modifications
Enrichment strategies: Implement phosphopeptide enrichment using TiO₂ for phosphorylation analysis
Site-specific modification detection:
Phosphorylation: Use phospho-specific antibodies or Phos-tag SDS-PAGE
Glycosylation: Employ lectin blotting or PNGase F treatment followed by mobility shift analysis
Lipidation: Use click chemistry with alkyne-tagged lipids for detection
Acetylation: Implement anti-acetyl lysine antibodies for western blotting
Comparative analysis workflow:
Validation experiments:
Confirm MS identification with site-directed mutagenesis of modified residues
Assess functional consequences of modifications using activity assays
Reconstitute modification in vitro using purified modification enzymes
This systematic approach will reveal differences in PTMs between naturally occurring and recombinant proteins, providing crucial information for researchers working with the E. coli-expressed recombinant protein .
When designing experiments to study septation protein A function in cellular models, researchers should consider these integrated approaches:
Model system selection:
Native Azotobacter vinelandii systems provide the most physiologically relevant context
Heterologous expression in E. coli offers experimental tractability while potentially lacking species-specific factors
Consider complementation experiments in septation-deficient bacterial strains
Experimental validation hierarchy:
Controls and standards implementation:
Include parallel experiments with well-characterized septation proteins
Use site-directed mutagenesis to generate non-functional controls
Implement inducible expression systems to create gradients of protein levels
Design proper negative controls for all interaction studies
Integrated data analysis framework:
Correlate biochemical activities with cellular phenotypes
Implement quantitative image analysis for localization studies
Utilize statistical methods appropriate for the experimental design
Consider computational modeling to integrate diverse datasets
By following these research guidelines, investigators can develop robust experimental designs that address the multifaceted aspects of septation protein A function while minimizing experimental artifacts and misinterpretations.
When facing contradictory findings about septation protein A function in the scientific literature, researchers should implement a systematic approach to reconciliation:
Methodological differences analysis:
Compare protein preparation methods, including expression systems and purification protocols
Assess differences in buffer compositions and storage conditions
Evaluate experimental conditions such as temperature, pH, and ionic strength
Consider the impact of tags (such as the N-terminal His tag in the recombinant protein)
Biological context variations:
Analyze strain differences in studies using Azotobacter vinelandii
Consider growth phase variations and their impact on septation
Evaluate media composition effects on protein expression and function
Assess potential differences in interacting partners across experimental systems
Technical limitations recognition:
Integrative resolution strategies:
Design definitive experiments addressing specific contradictions
Implement multiple complementary techniques to examine the same question
Consider collaborative research with labs reporting contradictory results
Develop unified models that incorporate conditional functionality