KEGG: aga:AgaP_AGAP012140
STRING: 7165.AGAP012140-PA
Eukaryotic translation initiation factor 3 subunit B (eIF3-S9) is a crucial component of the eIF3 complex in A. gambiae. The eIF3 complex is essential for translation initiation, functioning to stabilize the 43S pre-initiation complex and promote mRNA binding. In A. gambiae, eIF3-S9 is encoded by the gene AGAP012140-PA and forms part of the multi-protein complex that regulates protein synthesis . This protein plays a key role in mosquito development, immune response, and potentially in vector competence for Plasmodium parasites. While eIF3-S9 shares functional homology with mammalian counterparts, its specific interactions within the A. gambiae translational machinery may differ, making it an important subject for vector biology research.
The eIF3 complex in A. gambiae consists of multiple subunits (designated A through J) that work together for efficient translation initiation. In A. gambiae, these subunits include:
eIF3-S10 (subunit A, gene: AGAP002340-PA)
eIF3-S9 (subunit B, gene: AGAP012140-PA)
eIF3-S7 (subunit D, gene: AGAP002337-PA)
eIF3-S6 (subunit E, gene: AGAP006944-PA)
eIF3-S5 (subunit F, gene: AGAP002935-PA)
eIF3-S4 (subunit G, gene: AGAP007668-PA)
eIF3-S3 (subunit H, gene: AGAP009204-PA)
eIF3-S2 (subunit I, gene: AGAP006607-PA)
These subunits form a scaffold that bridges the ribosome and mRNA, with eIF3-S9 (subunit B) likely serving as a core structural component based on its conserved role across species.
Commercially available recombinant A. gambiae eIF3-S9 is typically produced with the following specifications:
| Specification | Standard |
|---|---|
| Purity | ≥85% as determined by SDS-PAGE |
| Host systems | E. coli, Yeast, Baculovirus, or Mammalian Cell |
| Gene name | eIF3-S9, EIF3B_ANOGA |
| Other designations | AGAP012140-PA |
| Storage condition | -80°C for long-term, avoid repeated freeze-thaw cycles |
| Shipping condition | Does not require dry ice for shipping |
| Availability | 24/48H for stock items; 2-6 weeks for non-stock items |
Researchers should verify these specifications before using the protein in experimental workflows to ensure reliable results .
When working with recombinant A. gambiae eIF3-S9, researchers should maintain the following experimental conditions:
Storage: Store the protein at -80°C in small aliquots to prevent repeated freeze-thaw cycles
Buffer composition: Use buffers containing 10-20% glycerol with stabilizing agents
Working temperature: Maintain at 4°C during handling; perform experiments at 25-28°C to mimic physiological conditions of A. gambiae
pH range: Optimal activity is typically observed at pH 7.2-7.6
Reducing agents: Include low concentrations (0.5-1 mM) of DTT or β-mercaptoethanol to maintain disulfide bonds
For in vitro translation assays, supplement reaction mixtures with other eIF3 subunits from A. gambiae, as the partial recombinant eIF3-S9 may require complex formation with other subunits for full functionality .
Before incorporating recombinant eIF3-S9 into complex experiments, validate its functionality through:
SDS-PAGE and Western blotting: Confirm molecular weight (typically 85-90 kDa) and immunoreactivity with anti-eIF3-S9 antibodies
Binding assays: Test interaction with other eIF3 subunits and ribosomal components using co-immunoprecipitation or pull-down assays
In vitro translation: Assess the protein's ability to enhance translation efficiency in reconstituted systems using A. gambiae cell extracts
ATPase activity: Measure the protein's ATPase activity, which is essential for its role in translation initiation
Thermal shift assays: Evaluate protein stability under various buffer conditions to optimize experimental parameters
Include appropriate positive controls (e.g., recombinant human eIF3-S9) and negative controls (e.g., heat-denatured protein) in validation experiments .
Researchers investigating eIF3-S9 interactions should consider these methodologies:
Crosslinking and Immunoprecipitation (CLIP): Identify RNA binding sites and partners
Proximity Labeling (BioID or APEX): Map the protein interaction network in mosquito cells
Surface Plasmon Resonance (SPR): Determine binding kinetics with purified interaction partners
Yeast Two-Hybrid screening: Identify novel protein interactions
Cryo-EM structural analysis: Visualize eIF3-S9 within the larger translation initiation complex
FRET/BRET assays: Monitor real-time interactions in cellular contexts
These approaches should be optimized for the specific properties of A. gambiae proteins and may require modification of standard protocols used in model organisms .
The relationship between eIF3-S9 and Plasmodium infection is complex and merits investigation:
Translation regulation during infection: eIF3-S9 may regulate selective translation of immune-related transcripts during Plasmodium infection
Stress response: Parasite invasion triggers cellular stress responses that alter translation patterns controlled by eIF3
Potential polymorphisms: Similar to identified SNPs in immune signaling genes (like Toll5B), polymorphisms in eIF3-S9 might influence vector competence
Midgut response: eIF3-S9 activity may be modified during midgut invasion by Plasmodium
Parasite manipulation: Plasmodium may potentially alter host translation machinery to favor its development
Research approaches should include comparing eIF3-S9 expression and activity between susceptible and resistant A. gambiae strains, and analyzing potential associations between eIF3-S9 polymorphisms and infection outcomes .
When investigating eIF3-S9's role in vector competence, researchers should:
Use genetically diverse A. gambiae populations to capture natural variation
Implement RNAi-mediated knockdown of eIF3-S9 to assess effects on Plasmodium infection rates
Employ CRISPR-Cas9 genome editing to create eIF3-S9 mutants for functional studies
Develop tissue-specific and time-specific expression systems to understand temporal dynamics
Integrate proteomics approaches to identify post-translational modifications occurring during infection
Use polysome profiling to identify transcripts differentially translated during infection
These approaches should follow standardized protocols for A. gambiae infection studies as outlined in the Methods in Anopheles Research manual, with appropriate controls for mosquito age, feeding conditions, and environmental parameters .
To study eIF3-S9 polymorphisms:
Perform targeted sequencing of eIF3-S9 across diverse A. gambiae populations with varying vector competence
Use association mapping approaches similar to those that identified SNPs in Toll5B and insulin-like peptide 3 precursor genes
Analyze non-synonymous changes that may affect protein structure and function
Test for departures from Hardy-Weinberg equilibrium as indicators of selection pressure
Functionally characterize identified variants through:
Recombinant expression of variant proteins
Comparative binding assays with translation components
In vitro translation efficiency measurements
Structural analysis of protein variants
Research should consider molecular form-dependent patterns, as observed with other immune-related genes in A. gambiae .
Researchers have access to several resources for eIF3-S9 studies:
| Resource Type | Available Tools | Application |
|---|---|---|
| Genomic databases | VectorBase, NCBI Gene | Gene sequence and annotation |
| Comparative genomics | CTD (Comparative Toxicogenomics Database) | Gene homology and functional predictions |
| Expression data | RNA-Seq repositories | Tissue-specific and developmental expression patterns |
| Protein databases | UniProt, PDB | Sequence and structural information |
| Vector resources | BEI Resources | Anopheles strains and research protocols |
| Molecular tools | PCR primers for eIF3-S9 authentication | Gene authentication and variant analysis |
These resources allow for comprehensive analysis of eIF3-S9 sequence, structure, and function across different mosquito populations .
For optimal expression and purification of recombinant eIF3-S9:
Expression system selection:
E. coli: Use BL21(DE3) with pET vector systems for high yield
Baculovirus: Prefer for more complex proteins requiring post-translational modifications
Mammalian: Consider for functional studies requiring authentic folding
Purification strategy:
Affinity chromatography using His-tag or GST-tag
Ion exchange chromatography as a secondary purification step
Size exclusion chromatography for final polishing
Quality control:
SDS-PAGE to confirm >85% purity
Western blot for identity confirmation
Mass spectrometry for accurate molecular weight determination
Activity assays to confirm functionality
Storage recommendations:
Store in small aliquots at -80°C
Include 10-20% glycerol in storage buffer
Avoid repeated freeze-thaw cycles
Researchers should optimize these protocols based on specific experimental requirements and downstream applications .
To integrate eIF3-S9 research with broader A. gambiae biology:
Developmental studies: Investigate eIF3-S9 expression across life stages using techniques from the Methods in Anopheles Research manual
Insecticide resistance: Study potential translational regulation of insecticide resistance genes by eIF3-S9
Reproductive biology: Examine eIF3-S9 roles in gametogenesis and early embryonic development
Environmental adaptation: Investigate how environmental factors modulate eIF3-S9 activity
Population genetics: Incorporate eIF3-S9 polymorphism analysis in population genomics studies
Field applications: Develop molecular tools to monitor eIF3-S9 variants in natural populations
Researchers should employ standardized protocols for mosquito rearing, molecular analysis, and field collection to ensure comparability with existing research in vector biology .
Emerging applications of eIF3-S9 research include:
Novel insecticide target development: If eIF3-S9 has mosquito-specific features, it could represent a selective target for new control agents
Genetic modification approaches: eIF3-S9 could be targeted in gene drive systems to reduce vector competence
Resistance monitoring: eIF3-S9 variants might influence resistance to existing control methods
Biomarker development: eIF3-S9 expression patterns could serve as biomarkers for physiological states relevant to vectorial capacity
Translational inhibitors: Compounds that specifically disrupt A. gambiae eIF3-S9 function could offer new vector control tools
These applications require detailed understanding of eIF3-S9 structure, function, and variability across Anopheles populations .
eIF3-S9 research provides insights into mosquito-parasite interactions through:
Selective translation regulation: eIF3-S9 may control translation of specific mRNAs during infection
Immune response modulation: Translation initiation factors can influence immune signaling pathways similar to those containing SNPs associated with Plasmodium infection
Metabolic adaptation: eIF3-S9 may regulate translation of metabolic enzymes that create favorable or unfavorable environments for parasite development
Cellular stress response: Parasite infection induces stress responses that affect translation initiation
Evolutionary implications: Comparing eIF3-S9 across vector and non-vector species may reveal adaptations relevant to vectorial capacity
These research directions complement existing studies on immune signaling genes associated with natural Plasmodium infection in A. gambiae .
When designing comprehensive eIF3-S9 research:
Integrate multiple approaches: Combine molecular, biochemical, and genomic techniques for robust results
Consider physiological context: Study eIF3-S9 in relevant tissues (midgut, fat body, salivary glands) and developmental stages
Account for environmental factors: Include temperature, microbiome, and other variables that influence vector biology
Incorporate population diversity: Sample across different A. gambiae molecular forms and geographical regions
Validate with functional assays: Move beyond correlative studies to establish causative relationships
Standardize methodologies: Follow established protocols from resources like the Methods in Anopheles Research manual
Collaborate across disciplines: Engage experts in translation, vector biology, and parasite-host interactions