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Targeting the Highly Invasive Malaria Vector Anopheles stephensi using Yeast RNAi Pesticides
Teresia M Njoroge1, Majidah Hamid-Adiamoh1, Keshava Mysore1
1Indiana University School of Medicine.
Research Square
|March 16, 2026
Summary
Novel yeast RNAi pesticides show promise for controlling the invasive malaria vector, Anopheles stephensi. These RNAi (RNA interference) pesticides effectively target the mosquito
Area of Science:
- Entomology
- Molecular Biology
- Pesticide Development
Background:
- Anopheles stephensi is a major invasive malaria vector threatening global control efforts.
- Insecticide and drug resistance in malaria parasites and vectors necessitate new control strategies.
- Yeast RNAi (RNA interference) pesticides offer a novel approach for vector control.
Purpose of the Study:
- To evaluate yeast-based RNAi pesticides for Anopheles stephensi control.
- To develop methods for delivering RNAi pesticides to adult and larval mosquitoes.
- To explore female-specific RNAi larvicides for male mosquito sorting.
Main Methods:
- Utilized a modified Saccharomyces cerevisiae yeast expressing RNAi targeting the Anopheles stephensi Shaker gene (Sh.463).
- Developed attractive targeted sugar bait (ATSB) systems for adult mosquito delivery and yeast-based systems for larval delivery.
- Screened female-specific genes using RNAi yeast larvicides to assess impact on mosquito populations.
Main Results:
- Sh.463 yeast treatment resulted in high mortality rates in Anopheles stephensi larvae and adults by silencing the Shaker gene.
- Female-specific RNAi larvicides significantly increased male:female ratios in offspring due to targeted female mortality.
- Demonstrated successful gene silencing and mortality in laboratory assays.
Conclusions:
- RNAi pesticides targeting mosquito Shaker genes represent a potential biorational intervention for integrated Anopheles stephensi control.
- Yeast RNAi technology can be adapted for targeting other disease vector mosquitoes.
- Female-specific RNAi yeast larvicides show potential for sex-sorting in mosquito populations.

