The following work has been carried out by the consortium during the SuperPests project:
-Support evidence-based IPM: New resistance markers identified in SuperPests. Based on these and other previously established markers, two diagnostic solutions (the automated LabDisk and the “high-tech” ddPCR) were developed for profiling SuperPests and decide which pesticides should, or should not, be used to restrain SuperPests
-New biotechnology-based pipelines: A virtual insectary has been created. A panel of publicly available transgenic Drosophila lines, has been generated. A library of SuperPest P450s available for use has been constructed. High throughput in vitro CYP-based screening assays have been produced.
-Testing of anti-resistance potential of novel candidate insecticidal compounds and environmentally-friendly biopesticides: The anti-resistance inhibition potential of novel candidate insecticidal compounds (e.g. PBO analogues, potential P450 inhibitors derived from plant metabolites) was assessed and significant P450 inhibition was identified in some cases.Tests of non-conventional chemistry formulations have been performed, which revealed very good potential for the control of resistant pests. Targets for RNAi-based control have been identified. The biopesticides appeared to be safe to biocontrol agents and pollinators.
-Analyse pest effectors of plant host resistance: Salivary effector proteins and target proteins were identified. The effector G4 was selected for further analysis. Overall, 2 interacting proteins of G4 were confirmed. The knockdown of one of these genes shows the whiteflies are more attracted to the plants compared to the negative control. In addition, the knockdown may reduce the oviposition.
-Enhance the control capacity of biological control agents (BCA): Key inducible plant defences on SuperPests were identified. The BCA’s size was associated to the predators’ ability to overcome the constitutive defenses. Plant traits responsible for predator establishment failure were determined. Predator strains resistant to major pesticides, as well as strains tolerant to tomato plants were developed.
- Determine optimal combinations for effective and sustainable IPM: We developed a web-based app for exploring the dynamics of tri-trophic predator-prey model and tested for general behaviour and for specific pest-predator combinations. With regards to optimal IPM strategies, our results clearly demonstrate that mathematical modelling can provide an important tool to inform on optimal IPM strategies specific to particular pests and control measures. Model predictions for optimal IPM were tested experimentally in small scale CE room experiments and experimental greenhouses, with the optimal combination of existing and novel control tools against major superpests.
- Achieve knowledge integration: Review documents on biopesticide pest control options and regulatory pathways were produced. A total of 3 SuperPests workshops and webinars took place. A total of 7 practice abstracts were produced. 2 focus groups were organized. E-learning units including a series of quizzes were produced. Several targeted dissemination and communication activities performed (workshops, webinars, seminars, exhibitions, pitching events and invited talks).