PhD Studentship: CENTA 2027-B06 Combatting Insecticide Pollution: An Evolution-Informed Molecular Docking Framework to Protect Pollinators and Beneficial Insects

Doctorat / PhD Département : School of Biosciences Type de contrat : Full Time,Fixed-Term/Contract Date limite de candidature : 2027-01-06T00:00:00+00:00

Insect populations are declining worldwide, and agrochemical pollution is a principal driver. Current insecticide safety assessments underestimate environmental harm because they rely mainly on short-term mortality tests on a few surrogate species, most often honeybees, and overlook sublethal and community-level effects. The central environmental problem this project will solve is evolutionary: broad-spectrum insecticides—pyrethroids, neonicotinoids, organophosphates, carbamates and diamides—act on molecular targets conserved across the arthropod phylogeny, so pests, pollinators, natural predators and parasitoids share vulnerability through ‘toxicity by descent’. This project will deliver a predictive, evolution-informed molecular docking framework that protects beneficial insects by quantifying how sequence and structural divergence in insecticide target proteins translates into differential susceptibility across species. Key research questions are: (1) How does target-site divergence across arthropod phylogenies predict insecticide binding and toxicity? (2) Can molecular docking of representative insecticides against structurally modelled target proteins recapitulate documented resistance and species-sensitivity data? (3) Can the resulting framework guide selection of chemistries that spare vulnerable nontarget species and reduce environmental pollution? To answer these questions, the project will compile target-protein sequences for five major insecticide classes across a phylogenetically representative panel of pests and beneficial arthropods, generate and refine structural models using homology modelling and AlphaFold, and run validated molecular docking pipelines against a panel of environmentally relevant insecticides. Predictions will be benchmarked against empirical resistance and sensitivity data from the literature and validated experimentally in Drosophila melanogaster and cell-based assays. The outcomes are oriented directly to solving an environmental problem: a species-risk prioritisation framework and a cheminformatics tool that enable regulators and industry to identify at-risk species, avoid harmful chemistries and design safer insecticides, informing evidence-based risk assessment under the precautionary principle and contributing to halting insect declines. The project will run over 3.5 years: Year 1 will focus on phylogenomic data assembly and structural modelling; Year 2 on docking pipeline development and benchmarking; Year 3 on experimental validation and case-study application with the industrial partner; the final six months on integration, thesis writing and dissemination. For further information on this project and details of how to apply to it please click the 'Apply' button above. Further information on how to apply for a CENTA studentship can be found on the…