Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.1038/s41598-019-51645-4
Lizenz creative commons licence
Titel (primär) Predicting low-concentration effects of pesticides
Autor Liess, M.; Henz, S.; Knillmann, S.
Quelle Scientific Reports
Erscheinungsjahr 2019
Department OEKOTOX
Band/Volume 9
Seite von art. 15248
Sprache englisch
Abstract We present a model to identify the effects of low toxicant concentrations. Due to inadequate models, such effects have so far often been misinterpreted as random variability. Instead, a tri-phasic relationship describes the effects of a toxicant when a broad range of concentrations is assessed: i) at high concentrations where substantial mortality occurs (LC50), we confirmed the traditional sigmoidal response curve (ii) at low concentrations about 10 times below the LC50, we identified higher survival than previously modelled, and (iii) at ultra-low concentrations starting at around 100 times below the LC50, higher mortality than previously modelled. This suggests that individuals benefit from low toxicant stress. Accordingly, we postulate that in the absence of external toxicant stress individuals are affected by an internal “System Stress” (SyS) and that SyS is reduced with increasing strength of toxicant stress. We show that the observed tri-phasic concentration-effect relationship can be modelled on the basis of this approach. Here we revealed that toxicant-related effects (LC5) occurred at remarkably low concentrations, 3 to 4 orders of magnitude below those concentrations inducing strong effects (LC50). Thus, the ECx-SyS model presented allows us to attribute ultra-low toxicant concentrations to their effects on individuals. This information will contribute to performing a more realistic environmental and human risk assessment.
dauerhafte UFZ-Verlinkung
Liess, M., Henz, S., Knillmann, S. (2019):
Predicting low-concentration effects of pesticides
Sci. Rep. 9 , art. 15248 10.1038/s41598-019-51645-4