ArticleProceedings of the National Academy of Sciences of the United States of America2022
A theory of resistance to multiplexed gene drive demonstrates the significant role of weakly deleterious natural genetic variation.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Engineering resilient gene drives for sustainable malaria control by predicting, testing and overcoming target site resistance in Anopheles gambiae.PLoS biology · 2026Article
- Integrating multiplexing into confineable gene drives effectively overrides resistance in Anopheles stephensi.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
- Assessing target genes for homing suppression gene drive.The EMBO journal · 2026Article
- Integrating mosquito genomics into simulation modeling: opportunities for better-informed biocontrol.Current opinion in insect science · 2026Review
- Meeting Report on the Symposium "Evolutionary Applications" at the 3rd Joint Congress on Evolutionary Biology.Evolutionary applications · 2025Article
- The potential of gene drives in malaria vector species to control malaria in African environments.Nature communications · 2024Article
- MGSurvE: A framework to optimize trap placement for genetic surveillance of mosquito populations.PLoS computational biology · 2024Article
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Authors and funding
2 authors.
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Abstract
Evolution of resistance is a major barrier to successful deployment of gene-drive systems to suppress natural populations, which could greatly reduce the burden of many vector-borne diseases. Multiplexed guide RNAs (gRNAs) that require resistance mutations in all target cut sites are a promising antiresistance strategy since, in principle, resistance would only arise in unrealistically large populations. Using stochastic simulations that accurately model evolution at very large population sizes, we explore the probability of resistance due to three important mechanisms: 1) nonhomologous end-joining mutations, 2) single-nucleotide mutants arising de novo, or 3) single-nucleotide polymorphisms preexisting as standing variation. Our results explore the relative importance of these mechanisms and highlight a complexity of the mutation-selection-drift balance between haplotypes with complete resistance and those with an incomplete number of resistant alleles. We find that this leads to a phenomenon where weakly deleterious naturally occurring variants greatly amplify the probability of multisite resistance compared to de novo mutation. This key result provides design criterion for antiresistance multiplexed systems, which, in general, will need a larger number of gRNAs compared to de novo expectations. This theory may have wider application to the evolution of resistance or evolutionary rescue when multiple changes are required before selection can act.
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