Engineering gene drive docking sites in a haplolethal locus in Anopheles gambiae

Gene drives are selfish genetic elements which promise to be powerful tools in the fight against vector-borne diseases such as malaria. We previously proposed population replacement gene drives designed to better withstand the evolution of resistance by homing through haplolethal loci. Because most mutations in the wild-type allele that would otherwise confer resistance are lethal, only successful drive homing and functional r1 alleles permits the cell to survive. Here we outline the development and characterization of two ΦC31-Recombination mediated cassette exchange gene drive docking lines with these features in Anopheles gambiae, a first step towards construction of robust gene drives in this important malaria vector. We outline adaption of the technique HACK (Homology Assisted CRISPR knockin) to knock-in two docking site sequences into a paired putative haplolethal-haplosufficient (Ribosome-Proteasome) locus, and confirm that these docking lines permit insertion of drive-relevant transgenes. We report the first anopheline proteasome knockouts, and identify ribosome mutants in the process reveal a major lethality and infertility hurdle that such designs must overcome to develop robust drives in the future. Although we do not achieve drive, this work provides a new tool for constructing future evolution-robust drive systems and reveals critical challenges that must be overcome for development of future gene drives designed to target haplolethal loci in anophelines and, potentially, other metazoans.

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Publication Details

Journal
Scientific Reports
Published
2025-10-08
DOI
https://doi.org/10.1038/s41598-025-18484-y
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.00

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article

Engineering gene drive docking sites in a haplolethal locus in Anopheles gambiae

Andrea L. Smidler, Sean Scott, Eryney Marrogi, Omar S. Akbari et al.
Scientific Reports
CRISPR and Genetic Engineering
article

Engineering gene drive docking sites in a haplolethal locus in Anopheles gambiae

Andrea L. Smidler, Sean Scott, Eryney Marrogi, Omar S. Akbari, Flaminia Catteruccia, Enzo Mameli, Kevin M. Esvelt, Daniel G. Abernathy
article en

Abstract

Gene drives are selfish genetic elements which promise to be powerful tools in the fight against vector-borne diseases such as malaria. We previously proposed population replacement gene drives designed to better withstand the evolution of resistance by homing through haplolethal loci. Because most mutations in the wild-type allele that would otherwise confer resistance are lethal, only successful drive homing and functional r1 alleles permits the cell to survive. Here we outline the development and characterization of two ΦC31-Recombination mediated cassette exchange gene drive docking lines with these features in Anopheles gambiae, a first step towards construction of robust gene drives in this important malaria vector. We outline adaption of the technique HACK (Homology Assisted CRISPR knockin) to knock-in two docking site sequences into a paired putative haplolethal-haplosufficient (Ribosome-Proteasome) locus, and confirm that these docking lines permit insertion of drive-relevant transgenes. We report the first anopheline proteasome knockouts, and identify ribosome mutants in the process reveal a major lethality and infertility hurdle that such designs must overcome to develop robust drives in the future. Although we do not achieve drive, this work provides a new tool for constructing future evolution-robust drive systems and reveals critical challenges that must be overcome for development of future gene drives designed to target haplolethal loci in anophelines and, potentially, other metazoans.

Scientific ReportsVol. 15(1)
Harvard University (US), University of California San Diego (US), Massachusetts Institute of Technology (US)
Howard Hughes Medical Institute, Bill and Melinda Gates Foundation, National Institutes of Health, Advanced Research Projects Agency
Openalex Percentile: Top 75%
CRISPR and Genetic Engineering
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