Hammond, A, Kyrou, K, Gribble, M, Karlsson, X, Morianou, I, Galizi, R ORCID: https://orcid.org/0000-0003-3134-7480, Beaghton, A, Crisanti, A and Nolan, T (2018) Improved CRISPR-based suppression gene drives mitigate resistance and impose a large reproductive load on laboratory-contained mosquito populations. BioRxiv.

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Hammond et al. - 2018 - Improved CRISPR-based suppression gene drives miti.pdf - Accepted Version
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Abstract

Abstract CRISPR-based genes drives bias their own inheritance and can be used to modify entire populations of insect vectors of disease as a novel form of sustainable disease control. Gene drives designed to interfere with female fertility can suppress populations of the mosquito vector of malaria, however laboratory demonstrations showed strong unintended fitness costs and high levels of resistant mutations that limited the potential of the first generation of gene drives to spread. We describe three new gene drives designed to restrict spatio-temporal nuclease expression by using novel regulatory sequences. Two of the three new designs dramatically improve fitness and mitigate the creation and selection of resistance. We dissect the relative contributions of germline CRISPR activity versus embryonic CRISPR activity resulting from parental deposition, showing that the improved performance of the new designs is due to tighter germline restriction of the nuclease activity and significantly lower rates of end-joining repair in the embryo. Moreover, we demonstrate in laboratory-contained population experiments that these gene drives show remarkably improved invasion dynamics compared to the first generation drives, resulting in greater than 90% suppression of the reproductive output and a delay in the emergence of target site resistance, even at a loosely constrained target sequence. These results illustrate important considerations for gene drive design and will help expedite the development of gene drives designed to control malaria transmission in Africa.

Item Type: Article
Additional Information: Additional information can be found at; https://www.biorxiv.org/content/10.1101/360339v1
Uncontrolled Keywords: CRISPR-based suppression, resistance, mosquito.
Subjects: Q Science > Q Science (General)
Q Science > QR Microbiology
Divisions: Faculty of Natural Sciences > School of Life Sciences
Depositing User: Symplectic
Date Deposited: 06 Feb 2020 16:17
Last Modified: 06 Feb 2020 16:17
URI: https://eprints.keele.ac.uk/id/eprint/7611

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