A self-limiting Sterile Insect Technique alternative for Ceratitis capitata

Abstract

Genetic biocontrol systems have broad applications in population control of insects implicated in both disease spread and food security. In this study we establish and characterise a novel split-CRISPR/Cas9 system we term Sex Conversion Induced by CRISPR (SCIC) in Ceratitis capitata (the Mediterranean fruit fly), a major agricultural pest with a global distribution. Using the white eye gene for toolkit selection, we achieved up to 100% CRISPR/Cas9 efficiency, displaying the feasibility of C. capitata split-CRISPR/Cas9 systems using constitutive promoters. We then induce sex-conversion by targeting the transformer gene in a SCIC approach aimed for SIT-mediated releases upon radiation-based sterilisation. Knock-out of transformer induced partial to full female-to-male sex-conversion, with remaining individuals all being intersex and sterile. SCIC population modelling shows superior performance to traditional population control strategies, allowing for faster population elimination with fewer released sterile males. Our results build the foundation for further genetic pest control methods of C. capitata and related tephritid agricultural pests. Significance statementAgricultural industry faces increasing threat from a multitude of pests including the domineering tephritid fruit flies. Genetic engineering of these pests has been recently tested to develop more efficient and affordable population control strategies. Here, we develop a new approach to improve existing population control measures by testing it in one of the most famous and dangerous tephritids, the Mediterranean fruit fly. Through optimisation, we achieved desired outcomes: female fly absence achieved via semi and full female-to-male sex conversion by CRISPR-mediated genome editing through gene mutations. For the first time in this insect, we used a split, and thus inducible, approach for such genome editing. Our work holds the potential to significantly improve tephritid population control strategies.