ArticlePLoS biology2026
Engineering resilient gene drives for sustainable malaria control by predicting, testing and overcoming target site resistance in Anopheles gambiae.
Article in PLoS biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Article
- Local implementation of scalable malaria molecular surveillance in a low-resource setting: a North-South collaborative model.Malaria journal · 2026Article
- A simulation-based deep learning framework for spatially explicit malaria modeling of CRISPR suppression gene drive mosquitoes.iScience · 2026Article
- Sex distorter male drive for resistance-resilient population control of the human malaria vector Anopheles gambiae.Nature communications · 2026Article
- Experimental and modeling demonstration of stronger population suppression by gene drive targeting doublesex from dominant female-sterile resistance alleles.Nature communications · 2026Article
- Strategies to improve the efficiency of homing gene drives with multiplexed gRNAs.BMC biology · 2025Article
- Modeling Control of Invasive Fire Ants by Gene Drive.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- A male-drive female-sterile system for the self-limited control of the malaria mosquito Anopheles gambiae.Nature communications · 2025Article
- CRISPR technologies for the control and study of malaria-transmitting anopheline mosquitoes.Parasites & vectors · 2025Review
- A suppression-modification gene drive for malaria control targeting the ultra-conserved RNA gene mir-184.Nature communications · 2025Article
- Engineering drive-selection balance for localized population suppression with neutral dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
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Authors and funding
10 authors.
Funding
Abstract
CRISPR-based gene drives are selfish genetic elements with the potential to spread through entire insect populations for sustainable vector control. Gene drives designed to disrupt the reproductive capacity of females can suppress laboratory populations of the malaria mosquito, Anopheles gambiae. However, any suppressive intervention will inevitably exert an evolutionary pressure for resistance, and the likelihood of resistance emerging at natural population scales remains poorly defined. Here, we present a pipeline to quantify the evolutionary space for resistance, enabling accelerated discovery, engineering, and testing of both natural and drive-induced variants that could reverse gene drive spread. We applied our approach to stress-test a best-in-class suppression gene drive that has evaded resistance in all laboratory-contained releases to date, known as Ag(QFS)1. We showed that previously undetected resistant alleles can arise at low frequency, including a novel type of partially resistant alleles that can perturb drive-invasion dynamics. Integrating experimentally derived resistance rates with population genetic modeling shows that single-target suppression drives are unlikely to be robust at natural mosquito population sizes, even at highly constrained loci. Here, we engineer and validate multiplexed gene drives in Anopheles gambiae, that target multiple conserved sites, actively removing resistant alleles. Our models predict that such gene drives could supress large natural mosquito populations in the field.
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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.