ArticleMethods in molecular biology (Clifton, N.J.)2019
Preparation and Use of a Yeast shRNA Delivery System for Gene Silencing in Mosquito Larvae.
Article in Methods in molecular biology (Clifton, N.J.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
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Who cites it
28 citing papers in PubMed, 54 citations in OpenAlex.
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- Targeting the Highly Invasive Malaria Vector Anopheles stephensi using Yeast RNAi Pesticides.Research square · 2026Article
- Advances in male sex separation for the support of mosquito control programs.Frontiers in insect science · 2026Review
- Development of an eco-friendly RNAi yeast attractive targeted sugar bait that silences the shaker gene in spotted-wing drosophila, Drosophila suzukii.Pest management science · 2026Article
- Article
- Development of a controlled-release mosquito RNAi yeast larvicide suitable for the sustained control of large water storage containers.Scientific reports · 2024Article
- Challenges of Robust RNAi-Mediated Gene Silencing inInternational journal of molecular sciences · 2024Article
- Article
- Targeting Mosquitoes through Generation of an Insecticidal RNAi Yeast Strain Using Cas-CLOVER and Super PiggyBac Engineering inJournal of fungi (Basel, Switzerland) · 2023Article
- MosChito rafts as effective and eco-friendly tool for the delivery of a Bacillus thuringiensis-based insecticide to Aedes albopictus larvae.Scientific reports · 2023Article
- Effect of marker-free transgenic Chlamydomonas on the control of Aedes mosquito population and on plankton.Parasites & vectors · 2023Article
- RNAi turns 25:contributions and challenges in insect science.Frontiers in insect science · 2023Review
- Field trials reveal the complexities of deploying and evaluating the impacts of yeast-baited ovitraps on Aedes mosquito densities in Trinidad, West Indies.Scientific reports · 2022Article
- A Conserved Female-Specific Requirement for thePathogens (Basel, Switzerland) · 2022Article
- Insect pest management in the age of synthetic biology.Plant biotechnology journal · 2022Review
- A Yeast RNA-Interference Pesticide Targeting theInsects · 2021Article
- A Broad-Based Mosquito Yeast Interfering RNA Pesticide TargetingPathogens (Basel, Switzerland) · 2021Article
- Evaluation of large volume yeast interfering RNA lure-and-kill ovitraps for attraction and control of Aedes mosquitoes.Medical and veterinary entomology · 2021Article
- A conserved female-specific larval requirement for MtnB function facilitates sex separation in multiple species of disease vector mosquitoes.Parasites & vectors · 2021Article
- A functional requirement for sex-determination M/m locus region lncRNA genes in Aedes aegypti female larvae.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
The mosquito genome projects facilitated research in new facets of mosquito biology, including functional genetic studies in the dengue and Zika virus vector Aedes aegypti and the primary African malaria vector Anopheles gambiae. RNA interference (RNAi) has facilitated gene silencing experiments in both of these disease vector mosquito species and could one day be applied as a new method of vector control. Here, we describe a procedure for the genetic engineering of Saccharomyces cerevisiae (baker's yeast) that express short hairpin RNA (shRNA) corresponding to mosquito target genes of interest. Following cultivation, which facilitates inexpensive propagation of shRNA, the yeast is inactivated and prepared in a ready-to-use dry tablet formulation that is fed to mosquito larvae. Ingestion of the yeast tablets results in effective larval target gene silencing. This technically straightforward and affordable technique may be applicable to a wide variety of mosquito species and potentially to other arthropods that feed on yeast.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.