Publication Details

Category Text Publication
Reference Category Journals
DOI 10.1098/rspb.2013.3239
Title (Primary) Using phylogenetic information and chemical properties to predict species tolerances to pesticides
Author Guénard, G.; von der Ohe, P.C.; Walker, S.C.; Lek, S.; Legendre, P.
Journal Proceedings of the Royal Society B-Biological Sciences
Year 2014
Department OEC
Volume 281
Issue 1789
Page From art. 20133239
Language englisch
Keywords phylogenetic modelling; bilinear model; tolerance, pesticide, effect prediction model
UFZ wide themes RU3;
Abstract Direct estimation of species' tolerance to pesticides and other toxic organic substances is a combinatorial problem, because of the large number of species–substance pairs. We propose a statistical modelling approach to predict tolerances associated with untested species–substance pairs, by using models fitted to tested pairs. This approach is based on the phylogeny of species and physico-chemical descriptors of pesticides, with both kinds of information combined in a bilinear model. This bilinear modelling approach predicts tolerance in untested species–compound pairs based on the facts that closely related species often respond similarly to toxic compounds and that chemically similar compounds often have similar toxic effects. The three tolerance models (median lethal concentration after 96 h) used up to 25 aquatic animal species and up to nine pesticides (organochlorines, organophosphates and carbamates). Phylogeny was estimated using DNA sequences, while the pesticides were described by their mode of toxic action and their octanol–water partition coefficients. The models explained 77–84% of the among-species variation in tolerance (log10 LC50). In cross-validation, 84–87% of the predicted tolerances for individual species were within a factor of 10 of the observed values. The approach can also be used to model other species response to multivariate stress factors.
Persistent UFZ Identifier
Guénard, G., von der Ohe, P.C., Walker, S.C., Lek, S., Legendre, P. (2014):
Using phylogenetic information and chemical properties to predict species tolerances to pesticides
Proc. R. Soc. B-Biol. Sci. 281 (1789), art. 20133239