Impact of naturally-occurring target-site polymorphisms on an autonomous Cas9/guide RNA-based gene drive system for population modification of Anopheles gambiae s.l

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ID: 325788
2026
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Abstract
Malaria remains a significant global health challenge with an estimated 282 million cases reported in 2024. CRISPR/Cas9-based gene-drive systems have emerged as promising tools to block Plasmodium transmission by mosquito vectors. The TP13 drive system targets the Anopheles gambiae cardinal (Agcd) gene and carries two engineered monoclonal antibodies to achieve rapid population modification to prevent parasite transmission. Previous cage trials demonstrated complete drive introduction in three to six generations and supported modeling predicting a potential >90% reduction in malaria incidence under optimal conditions. However, naturally-occurring genetic polymorphisms in wild mosquito populations, particularly single nucleotide polymorphisms (SNPs) within Cas9/guide RNA target sites, pose a potential barrier to drive efficiency. High genetic diversity in An. gambiae results in drive-system target-site variants, including an A→T transversion in the Agcd gene, which occurs at high frequencies in African populations and could affect TP13 drive dynamics. The impact of this and other SNPs on TP13 performance was assessed by establishing three An. gambiae Ndokayo lines, one with the wild-type Agcd and two with homozygous SNP haplotypes. We evaluated drive conversion rates in vivo, population dynamics in cage trials, fitness costs and parasite suppression efficacy. No negative effects on drive performance and parasite suppression were observed. The results provide insights into the influence of naturally-occurring polymorphisms on gene drive propagation, informing safety, efficacy and target product profile requirements for advancing gene-drive mosquitoes toward field trials.
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Authors Rebeca Carballar-Lejarazu, Brian McNeely, Yuemei Dong, Thai Binh Pham, Taylor Tushar, Isaac Owusu-Frimpong, George Dimopoulos, Anthony A. James
Journal current genetics
Year 2026
DOI
10.1093/genetics/iyag221
URL
https://doi.org/10.1093/genetics/iyag221
Keywords Keywords not found

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