Temperature-inducible precision-guided sterile insect technique
Releases of sterile males are the gold standard for many insect population control programs,
and precise sex sorting to remove females prior to male releases is essential to the success
of these operations. To advance traditional methods for scaling the generation of sterile
males, we previously described a CRISPR-mediated precision-guided sterile insect
technique (pgSIT), in which Cas9 and gRNA strains are genetically crossed to generate
sterile males for mass release. While effective at generating F1 sterile males, pgSIT requires …
and precise sex sorting to remove females prior to male releases is essential to the success
of these operations. To advance traditional methods for scaling the generation of sterile
males, we previously described a CRISPR-mediated precision-guided sterile insect
technique (pgSIT), in which Cas9 and gRNA strains are genetically crossed to generate
sterile males for mass release. While effective at generating F1 sterile males, pgSIT requires …
Releases of sterile males are the gold standard for many insect population control programs, and precise sex sorting to remove females prior to male releases is essential to the success of these operations. To advance traditional methods for scaling the generation of sterile males, we previously described a CRISPR-mediated precision-guided sterile insect technique (pgSIT), in which Cas9 and gRNA strains are genetically crossed to generate sterile males for mass release. While effective at generating F1 sterile males, pgSIT requires a genetic cross between the two parental strains, which requires maintenance and sexing of two strains in a factory. Therefore, to advance pgSIT further by removing this crossing step, here we describe a next-generation temperature-inducible pgSIT (TI-pgSIT) technology and demonstrate its proof-of-concept in Drosophila melanogaster. Importantly, we were able to develop a true breeding strain for TI-pgSIT that eliminates the requirement for sex sorting—a feature that may help further automate production at scale.
Mary Ann Liebert
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