ArticleGenetics2021
Evading resistance to gene drives.
Article in Genetics, 2021. 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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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
- Harnessing CRISPR-Cas technology for insect pest control: current advances and future perspectives.Molecular biology reports · 2026Review
- Meeting Report on the Symposium "Evolutionary Applications" at the 3rd Joint Congress on Evolutionary Biology.Evolutionary applications · 2025Article
- Controlling the frequency dynamics of homing gene drives for intermediate outcomes.G3 (Bethesda, Md.) · 2025Article
- Evaluating the cost of malaria elimination by Anopheles gambiae precision guided SIT in the Upper River region, The Gambia.PLOS global public health · 2025Article
- CRISPR-Cas9 and Cas12a target site richness reflects genomic diversity in natural populations of Anopheles gambiae and Aedes aegypti mosquitoes.BMC genomics · 2024Article
- Towards evolutionary predictions: Current promises and challenges.Evolutionary applications · 2023Review
- Article
- A theory of resistance to multiplexed gene drive demonstrates the significant role of weakly deleterious natural genetic variation.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Gene drive escape from resistance depends on mechanism and ecology.Evolutionary applications · 2022Article
- Reflection on the Challenges, Accomplishments, and New Frontiers of Gene Drives.Biodesign research · 2022Review
- Gene drive that results in addiction to a temperature-sensitive version of an essential gene triggers population collapse inProceedings of the National Academy of Sciences of the United States of America · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Gene drives offer the possibility of altering and even suppressing wild populations of countless plant and animal species, and CRISPR technology now provides the technical feasibility of engineering them. However, population-suppression gene drives are prone to select resistance, should it arise. Here, we develop mathematical and computational models to identify conditions under which suppression drives will evade resistance, even if resistance is present initially. Previous models assumed resistance is allelic to the drive. We relax this assumption and show that linkage between the resistance and drive loci is critical to the evolution of resistance and that evolution of resistance requires (negative) linkage disequilibrium between the two loci. When the two loci are unlinked or only partially so, a suppression drive that causes limited inviability can evolve to fixation while causing only a minor increase in resistance frequency. Once fixed, the drive allele no longer selects resistance. Our analyses suggest that among gene drives that cause moderate suppression, toxin-antidote systems are less apt to select for resistance than homing drives. Single drives of moderate effect might cause only moderate population suppression, but multiple drives (perhaps delivered sequentially) would allow arbitrary levels of suppression. The most favorable case for evolution of resistance appears to be with suppression homing drives in which resistance is dominant and fully suppresses transmission distortion; partial suppression by resistance heterozygotes or recessive resistance are less prone to resistance evolution. Given that it is now possible to engineer CRISPR-based gene drives capable of circumventing allelic resistance, this design may allow for the engineering of suppression gene drives that are effectively resistance-proof.
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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.