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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.

Created on 21 Aug 2026

Authors

Rebeca Carballar-Lejarazú, Brian McNeely, Yuemei Dong, Thai Binh Pham, Taylor Tushar, Isaac Owusu-Frimpong, George Dimopoulos, Anthony A James

Published in

Genetics. Aug 21, 2026. Epub Aug 21, 2026.

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.

PMID:
42625514
Bibliographic data and abstract were imported from PubMed on 21 Aug 2026.

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