Efficient population modification gene-drive rescue system in the malaria mosquito Anopheles stephensi
- PMID: 33144570
- PMCID: PMC7609566
- DOI: 10.1038/s41467-020-19426-0
Efficient population modification gene-drive rescue system in the malaria mosquito Anopheles stephensi
Abstract
Cas9/gRNA-mediated gene-drive systems have advanced development of genetic technologies for controlling vector-borne pathogen transmission. These technologies include population suppression approaches, genetic analogs of insecticidal techniques that reduce the number of insect vectors, and population modification (replacement/alteration) approaches, which interfere with competence to transmit pathogens. Here, we develop a recoded gene-drive rescue system for population modification of the malaria vector, Anopheles stephensi, that relieves the load in females caused by integration of the drive into the kynurenine hydroxylase gene by rescuing its function. Non-functional resistant alleles are eliminated via a dominantly-acting maternal effect combined with slower-acting standard negative selection, and rare functional resistant alleles do not prevent drive invasion. Small cage trials show that single releases of gene-drive males robustly result in efficient population modification with ≥95% of mosquitoes carrying the drive within 5-11 generations over a range of initial release ratios.
Conflict of interest statement
V.M.G. and E.B. have an equity interest in Synbal, Inc. and Agragene, Inc. companies that may potentially benefit from the research results, and serve on both companies’ Scientific Advisory Board and on the Board of Directors of Synbal, Inc. The terms of this arrangement have been reviewed and approved by the University of California, San Diego in accordance with its conflict-of-interest policies. Remaining authors declare no competing interests.
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- Walker PGT, Griffin JT, Ferguson NM, Ghani AC. Estimating the most efficient allocation of interventions to achieve reductions in Plasmodium falciparum malaria burden and transmission in Africa: a modelling study. Lancet Glob. Health. 2016;4:e474–e484. - PubMed
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