Clustering pesticides according to their molecular properties, fate, and effects by considering additional ecotoxicological parameters in the TyPol method

• DOI: 10.1007/s11356-017-0758-8
• Publication Date: 2017-12-02T00:07:53Z
• Authors: Harouna Traoré; Olivier Crouzet; Laure Mamy; Christine Sireyjol; Virginie Rossard; Rémi Servien; Eric Latrille; Fabrice Martin-La...; Dominique Patureau; Pierre Benoit
• Keywords: 570; 550; [SDE.MCG]Environmental Sciences/Global Changes; Fate; Ecotoxicology; 01 natural sciences; Clustering; Lethal Dose 50; Daphnia; Chlorophyta; 13. Climate action; Toxicity Tests; Animals; Cluster Analysis; Environmental Pollutants; Ecotoxicity; Oligochaeta; Pesticides; Ecosystem; Molecular descriptor; Environmental Monitoring; 0105 earth and related environmental sciences

Understanding the fate and ecotoxicological effects of pesticides largely depends on their molecular properties. We recently developed "TyPol" (Typology of Pollutants), a classification method of organic compounds based on statistical analyses. It combines several environmental (sorption coefficient, degradation half-life) and one ecotoxicological (bioconcentration factor) parameters, to structural molecular descriptors (number of atoms in the molecule, molecular surface, dipole moment, energy of orbitals, etc.). The present study attempts to extend TyPol to the ecotoxicological effects of pesticides on non-target organisms, based on data analysis from available literature and databases. It revealed that relevant ecotoxicological endpoints for terrestrial organisms (e.g., soil microorganisms, invertebrates) that support a range of ecosystemic services are lacking as compared to aquatic organisms. The availability of ecotoxicological parameters was also lower for chronic than for acute ecotoxicity endpoints. Consequently, seven parameters were included for acute (EC50, LC50) and chronic (NOEC) ecotoxicological effects for one terrestrial (Eisenia sp.) and three aquatic (Daphnia sp., algae, Lemna sp.) organisms. In this new configuration, we used TyPol to classify 50 pesticides into different clusters that gather molecules with similar environmental behaviors and ecotoxicological effects. The classification results evidenced relationships between molecular descriptors, environmental parameters, and the added ecotoxicological endpoints. This proof-of-concept study also showed that TyPol in silico classification can successfully address new scientific questions and be expanded with other parameters of interest.