Dual effector population modification gene-drive strains of the African malaria mosquitoes, Anopheles gambiae and Anopheles coluzzii

Author:

Carballar-Lejarazú Rebeca1,Dong Yuemei2,Pham Thai Binh1,Tushar Taylor1ORCID,Corder Rodrigo M.3ORCID,Mondal Agastya3ORCID,Sánchez C. Héctor M.3ORCID,Lee Hsu-Feng1,Marshall John M.3ORCID,Dimopoulos George2ORCID,James Anthony A.14ORCID

Affiliation:

1. Department of Microbiology & Molecular Genetics, University of California, Irvine, CA 92697-4025

2. W. Harry Feinstone Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Malaria Research Institute, Johns Hopkins University, Baltimore, MD 21205

3. Divisions of Epidemiology and Biostatistics, School of Public Health, University of California, Berkeley, CA 94720

4. Department of Molecular Biology & Biochemistry, University of California, Irvine, CA 92697-3900

Abstract

Proposed genetic approaches for reducing human malaria include population modification, which introduces genes into vector mosquitoes to reduce or prevent parasite transmission. We demonstrate the potential of Cas9/guide RNA (gRNA)–based gene-drive systems linked to dual antiparasite effector genes to spread rapidly through mosquito populations. Two strains have an autonomous gene-drive system coupled to dual anti- Plasmodium falciparum effector genes comprising single-chain variable fragment monoclonal antibodies targeting parasite ookinetes and sporozoites in the African malaria mosquitoes Anopheles gambiae (AgTP13) and Anopheles coluzzii (AcTP13). The gene-drive systems achieved full introduction within 3 to 6 mo after release in small cage trials. Life-table analyses revealed no fitness loads affecting AcTP13 gene-drive dynamics but AgTP13 males were less competitive than wild types. The effector molecules reduced significantly both parasite prevalence and infection intensities. These data supported transmission modeling of conceptual field releases in an island setting that shows meaningful epidemiological impacts at different sporozoite threshold levels (2.5 to 10 k) for human infection by reducing malaria incidence in optimal simulations by 50 to 90% within as few as 1 to 2 mo after a series of releases, and by ≥90% within 3 mo. Modeling outcomes for low sporozoite thresholds are sensitive to gene-drive system fitness loads, gametocytemia infection intensities during parasite challenges, and the formation of potentially drive-resistant genome target sites, extending the predicted times to achieve reduced incidence. TP13-based strains could be effective for malaria control strategies following validation of sporozoite transmission threshold numbers and testing field-derived parasite strains. These or similar strains are viable candidates for future field trials in a malaria-endemic region.

Funder

University of California Malaria Initiative

Bill and Melinda Gates Foundation

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

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