Putative oxidoreductase.
KEGG: aga:AgaP_AGAP005532
STRING: 7165.AGAP005532-PA
The recombinant Anopheles gambiae Dehydrogenase/reductase SDR family protein 7-like (AGAP005532) is a member of the Short-chain Dehydrogenase/Reductase (SDR) family. The protein has a molecular weight of approximately 34,110 Da as determined by SDS-PAGE analysis, with a purity of >85% . The protein belongs to the DHRS7 subfamily (Dehydrogenase/reductase SDR family member 7), which typically features a Rossmann-fold structural motif that binds NAD(P)+ and a substrate binding site.
When analyzing this protein, researchers should be aware that recombinant versions may include additional amino acids from fusion tags (such as His-tags) that can affect the observed molecular weight in gel electrophoresis experiments.
The DHRS7_ANOGA protein (AGAP005532-PA) is a protein-coding gene product from Anopheles gambiae that functions as a dehydrogenase/reductase . As a member of the SDR family, it likely catalyzes the oxidation/reduction of various substrates using NAD(P)+ as a cofactor.
While the specific substrates for this particular protein haven't been fully characterized, other members of the SDR family in insects are known to be involved in:
Steroid hormone metabolism
Detoxification processes
Redox homeostasis
Metabolic pathways that may influence insecticide resistance
Research suggests that proteins in this family may play roles in the mosquito's ability to detoxify xenobiotics, potentially contributing to insecticide resistance mechanisms .
Multiple expression systems have been used successfully for producing recombinant Anopheles proteins, with varying advantages depending on research goals:
| Expression System | Advantages | Limitations | Typical Yield | Best For |
|---|---|---|---|---|
| E. coli | Cost-effective, rapid expression, high yield | Limited post-translational modifications, potential inclusion bodies | 10-50 mg/L | Structural studies, antibody production |
| Baculovirus-infected insect cells | More authentic insect post-translational modifications, better folding | Higher cost, longer production time | 1-10 mg/L | Functional studies, enzyme assays |
| Yeast | Moderate cost, eukaryotic modifications | Different glycosylation pattern | 5-20 mg/L | Scaled production |
| Cell-free systems | Rapid, avoids cell toxicity issues | Higher cost, lower yield | 0.5-2 mg/L | Toxic proteins, quick screening |
For achieving functionally active AGAP005532, a baculovirus-infected insect cell system is often preferred as it provides an environment most similar to the native protein's origins, potentially yielding 1-1.4 U/ml of packed insect cells as observed with similar Anopheles proteins .
When designing expression constructs, researchers should consider:
Codon optimization for the chosen expression system
Inclusion of appropriate purification tags (His, GST, etc.)
Careful selection of cleavage sites for tag removal
Buffer optimization during purification to maintain stability
To accurately assess the enzymatic activity of recombinant AGAP005532, consider the following methodological approach:
Buffer conditions: For SDR family proteins from Anopheles, activity assays are typically conducted in phosphate or Tris-based buffers at pH 7.4-7.8, which has been identified as the optimal pH for related enzymes such as thioredoxin reductase from A. gambiae .
Temperature: Assays should be performed at 25°C to mimic the physiological temperature of the mosquito.
Substrate selection: While the specific substrates of AGAP005532 have not been fully characterized, testing against a panel of potential substrates is recommended:
Various alcohols and aldehydes
Steroids
Xenobiotic compounds
Metabolic intermediates
Cofactor requirements: Include NAD+ or NADP+ as potential cofactors, typically at concentrations of 0.1-1.0 mM.
Activity measurement: Monitor the reduction of NAD+ or NADP+ spectrophotometrically at 340 nm, or use coupled enzyme assays for more sensitive detection.
For kinetic characterization, determine the Km and kcat values by varying substrate concentrations while keeping cofactor concentrations constant. Similar Anopheles reductase enzymes have demonstrated Km values in the micromolar range (e.g., 8.5 μM) with kcat values of approximately 15 s-1 .
In Anopheles stephensi, comparative proteomic analysis revealed differential expression of multiple proteins between deltamethrin/DDT-resistant and susceptible strains. Using 2D-electrophoresis coupled with MALDI-TOF mass spectrometry, researchers identified 31 differentially expressed proteins, with 15 upregulated and 16 downregulated in resistant strains .
Similar studies in Anopheles gambiae have shown that resistance to bendiocarb is associated with overexpression of specific genes, including those encoding salivary gland proteins (D7r2 and D7r4) and detoxification enzymes like Cyp6m2 and Gstd3 .
When investigating AGAP005532 expression in the context of insecticide resistance, researchers should:
Employ RT-qPCR to quantify transcript levels across resistant and susceptible strains
Use proteomic approaches to measure protein abundance
Consider tissue-specific expression patterns, particularly in tissues associated with xenobiotic metabolism
Control for factors such as mosquito age, blood-feeding status, and environmental conditions
As a member of the SDR family, AGAP005532 likely participates in redox reactions involving various substrates, potentially contributing to detoxification pathways and insecticide resistance through several mechanisms:
Direct detoxification: The protein may catalyze the reduction or oxidation of insecticide molecules or their metabolites, converting them to less toxic compounds.
Metabolic support: AGAP005532 could maintain redox homeostasis during oxidative stress induced by insecticide exposure.
Integration with other detoxification systems: The protein may work in concert with other detoxification enzymes like cytochrome P450s (e.g., Cyp6m2) or glutathione S-transferases (e.g., Gstd3) that have been directly implicated in insecticide resistance .
Potential substrate overlap with other resistance-associated proteins: Research has shown that in Anopheles gambiae, the thioredoxin system functionally substitutes for glutathione reductase , suggesting interconnected redox networks that might involve AGAP005532.
For experimental validation of these potential roles, researchers could employ:
RNAi knockdown of AGAP005532 followed by insecticide susceptibility bioassays
Heterologous expression systems to test the protein's ability to metabolize insecticides
Metabolomic approaches to identify substrate changes in resistant vs. susceptible strains
The role of AGAP005532 in parasite-vector interactions has not been directly studied, but its function as a dehydrogenase/reductase enzyme may influence these interactions through several potential mechanisms:
Redox environment modulation: As Plasmodium develops within the mosquito, it encounters various oxidative challenges. AGAP005532 may contribute to maintaining appropriate redox conditions that impact parasite development.
Metabolic interface: The parasite relies on mosquito metabolites during its development. If AGAP005532 participates in key metabolic pathways, it could indirectly affect parasite survival and development.
Potential involvement in immune responses: Some redox enzymes contribute to immune responses against pathogens. AGAP005532 might play a role in the mosquito's defense against Plasmodium.
Research approaches to investigate these possibilities include:
Gene silencing experiments followed by Plasmodium infection assays
Immunolocalization studies to determine if AGAP005532 is expressed in tissues relevant to parasite development
Comparative studies of enzyme activity in infected versus uninfected mosquitoes
While direct interactions between AGAP005532 and other proteins involved in malaria transmission have not been explicitly documented, examining its relationship to well-characterized transmission-associated proteins provides insights for research:
Salivary gland proteins: Proteins like D7r2 and D7r4 in the salivary glands are overexpressed in insecticide-resistant mosquitoes and play roles during blood feeding, which is crucial for Plasmodium acquisition.
Detoxification enzymes: Proteins like glutathione S-transferases (e.g., Gstd3) are involved in both insecticide resistance and oxidative stress response , which may influence parasite survival.
3-HK transaminase: This enzyme converts 3-hydroxykynurenine into xanthurenic acid, which plays an important role in Plasmodium gametocyte maturation and fertility .
Thioredoxin system components: As a potential component of redox systems, AGAP005532 may interact with thioredoxin and thioredoxin reductase, which functionally substitute for glutathione reductase in Anopheles gambiae .
To investigate these relationships, researchers could employ:
Co-immunoprecipitation experiments
Yeast two-hybrid screening
Transcriptomic and proteomic analyses of mosquitoes at different stages of Plasmodium infection
Developing inhibitors against AGAP005532 follows a systematic structure-based drug design approach:
Structural characterization: Determine the three-dimensional structure of AGAP005532 using X-ray crystallography or cryo-EM. If experimental structures are unavailable, create homology models based on related SDR family proteins.
Active site identification: Analyze the protein structure to identify the NAD(P)+ binding site and substrate binding pocket, focusing on conserved catalytic residues typical of SDR family proteins.
Virtual screening: Employ computational docking to screen compound libraries against the identified binding sites. Prioritize compounds that:
Compete with NAD(P)+ binding
Occupy the substrate binding pocket
Form stable interactions with catalytic residues
In vitro validation: Test top virtual hits using:
Enzymatic assays to determine IC50 values
Thermal shift assays to confirm binding
Surface plasmon resonance to measure binding kinetics
Selectivity assessment: Compare inhibition against human SDR family proteins to identify compounds with selectivity for the mosquito enzyme.
Lead optimization: Refine promising compounds through medicinal chemistry to improve potency, selectivity, and pharmacokinetic properties.
Mosquito testing: Evaluate optimized leads for:
Toxicity against Anopheles mosquitoes
Effects on mosquito lifespan and fecundity
Impact on Plasmodium development
The development of 3-HK transaminase inhibitors, which target another enzyme in Anopheles gambiae, provides a methodological template for this approach .
Investigating post-translational modifications (PTMs) of AGAP005532 requires a comprehensive analytical approach:
PTM prediction and mapping:
Use bioinformatic tools to predict potential PTM sites (phosphorylation, glycosylation, acetylation)
Align AGAP005532 with characterized SDR family proteins to identify conserved modification sites
Mass spectrometry-based PTM identification:
Isolate native AGAP005532 from mosquito tissues
Perform tryptic digestion followed by LC-MS/MS analysis
Use specialized search algorithms to identify modified peptides
Apply neutral loss scanning to detect specific modifications (e.g., phosphorylation)
Site-directed mutagenesis:
Generate mutants at predicted PTM sites (e.g., Ser/Thr→Ala for phosphorylation sites)
Express and purify mutant proteins
Compare enzymatic parameters with wild-type protein
Assess stability and substrate specificity changes
Functional impact assessment:
Determine how specific PTMs affect:
Enzymatic activity and substrate specificity
Protein stability and half-life
Subcellular localization
Protein-protein interactions
Temporal and physiological regulation:
Analyze PTM patterns across different:
Mosquito developmental stages
Physiological states (e.g., pre/post blood meal)
Insecticide exposure conditions
Infection status
Similar methodological approaches have been successfully applied to study proteins from Anopheles mosquitoes, including the differential proteomic analysis that identified altered expression patterns between insecticide-resistant and susceptible strains .
Researchers frequently encounter solubility challenges when expressing recombinant AGAP005532. These methodological solutions address common problems:
Fusion tag optimization:
Test multiple solubility-enhancing tags:
MBP (maltose-binding protein) - often provides superior solubility
SUMO - enhances folding
GST - improves solubility but may affect activity
Thioredoxin - stabilizes disulfide bonds
Vary tag position (N-terminal vs. C-terminal)
Expression condition modifications:
Reduce induction temperature to 16-18°C
Decrease IPTG concentration to 0.1-0.5 mM
Use auto-induction media for gradual protein expression
Co-express with chaperone proteins (GroEL/GroES, DnaK/DnaJ/GrpE)
Buffer optimization during purification:
Screen additives systematically:
Glycerol (5-20%)
L-arginine (50-500 mM)
Non-detergent sulfobetaines (NDSB-201)
Low concentrations of non-ionic detergents (0.05-0.1% Triton X-100)
Test various pH conditions (pH 6.5-8.5)
Include stabilizing cofactors (NAD+/NADP+)
Refolding strategies (if inclusion bodies form):
On-column refolding during purification
Gradual dialysis to remove denaturants
Pulsed dilution refolding
These approaches have proven effective for expressing challenging mosquito proteins, as demonstrated in studies of thioredoxin reductase from Anopheles gambiae .
Inconsistent enzymatic activity is a common challenge when working with recombinant AGAP005532. Address this systematically:
Protein quality assessment:
Verify protein integrity using multi-angle light scattering
Confirm proper folding with circular dichroism spectroscopy
Check for aggregation using dynamic light scattering
Validate cofactor binding using intrinsic fluorescence
Cofactor considerations:
Test both NAD+ and NADP+ as potential cofactors
Ensure cofactor quality (fresh solutions, protected from light)
Consider pre-incubating enzyme with cofactor before assay
Optimize cofactor concentration (typically 0.1-1 mM)
Assay optimization:
Systematically vary:
Buffer composition (phosphate, HEPES, Tris)
pH (range 6.5-8.5, with 0.5 increments)
Salt concentration (0-500 mM)
Temperature (20-37°C)
Test for enzymatic stability over time
Include appropriate positive controls
Substrate considerations:
Screen multiple potential substrates
Ensure substrate solubility in assay buffer
Check for substrate inhibition at high concentrations
Consider substrate purity and storage conditions
Data analysis refinements:
Apply appropriate kinetic models (Michaelis-Menten, Hill, etc.)
Use technical replicates (n≥3) for each condition
Normalize activity to protein concentration
Account for background signal/auto-oxidation
Similar methodological approaches have been applied successfully to characterize enzymatic properties of mosquito proteins, as seen in studies of thioredoxin reductase from Anopheles gambiae, which demonstrated optimal activity at pH 7.4 and 25°C .