Literature DB >> 33418197

Pesticide risk assessment at the molecular level using honey bee cytochrome P450 enzymes: A complementary approach.

Julian Haas1, Ralf Nauen2.   

Abstract

Honey bee (Apis mellifera) first-tier pesticide risk assessment is largely based on standardized laboratory toxicity bioassays after both acute and chronic exposure. Recent research on honey bee cytochrome P450 monooxygenases (P450s) uncovered CYP9Q3 as the molecular determinant mediating neonicotinoid insecticide selectivity and explaining why certain neonicotinoids such as thiacloprid show > 1000-fold lower acute toxicity than others (e.g. imidacloprid). Here this knowledge is leveraged for mechanistic risk assessment at the molecular level using a fluorescence-based high-throughput in vitro assay, predicting the interaction of diverse pesticidal chemotypes, including azole fungicides, with recombinantly expressed honey bee CYP9Q enzymes, known to metabolize thiacloprid, acetamiprid and tau-fluvalinate. Some azole fungicides were shown to be synergistic in combination with certain insecticides, including neonicotinoids and pyrethroids, whereas others such as prothioconazole were not. We demonstrate that biochemical CYP9Q2/CYP9Q3 inhibition data of azoles revealed a striking correlation with their synergistic potential at the organismal level, and even allow to explain combined toxicity effects observed for tank mixtures under field conditions. Our novel toxicogenomics-based approach is designed to complement existing methods for pesticide risk assessment with unprecedented screening capacity, by utilizing honey bee P450 enzymes known to confer pesticide selectivity, in order to biochemically address issues of ecotoxicological concern.
Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Apis mellifera; Molecular ecotoxicology; Pesticide mixtures; Pollinator safety; Synergism; Toxicogenomics

Year:  2021        PMID: 33418197     DOI: 10.1016/j.envint.2020.106372

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  6 in total

1.  Phylogenomic and functional characterization of an evolutionary conserved cytochrome P450-based insecticide detoxification mechanism in bees.

Authors:  Julian Haas; Angela Hayward; Benjamin Buer; Frank Maiwald; Birgit Nebelsiek; Johannes Glaubitz; Chris Bass; Ralf Nauen
Journal:  Proc Natl Acad Sci U S A       Date:  2022-06-21       Impact factor: 12.779

2.  Towards understanding transfluthrin efficacy in a pyrethroid-resistant strain of the malaria vector Anopheles funestus with special reference to cytochrome P450-mediated detoxification.

Authors:  Melanie Nolden; Andreas Brockmann; Ulrich Ebbinghaus-Kintscher; Kai-Uwe Brueggen; Sebastian Horstmann; Mark J I Paine; Ralf Nauen
Journal:  Curr Res Parasitol Vector Borne Dis       Date:  2021-07-19

3.  Assessment of ecotoxicological effects of agrochemicals on bees using the PRIMET model, in the Tiko plain (South-West Cameroon).

Authors:  Daniel Brice Nkontcheu Kenko; Norbert Tchamadeu Ngameni
Journal:  Heliyon       Date:  2022-03-21

4.  A mechanism-based approach unveils metabolic routes potentially mediating chlorantraniliprole synergism in honey bees, Apis mellifera L., by azole fungicides.

Authors:  Julian Haas; Johannes Glaubitz; Udo Koenig; Ralf Nauen
Journal:  Pest Manag Sci       Date:  2021-11-19       Impact factor: 4.462

5.  Spodoptera frugiperda Sf9 cells as a model system to investigate the role of detoxification gene expression in response to xenobiotics.

Authors:  Dries Amezian; Sonja Mehlhorn; Calypso Vacher-Chicane; Ralf Nauen; Gaëlle Le Goff
Journal:  Curr Res Insect Sci       Date:  2022-04-18

6.  Intra-specific variation in sensitivity of Bombus terrestris and Osmia bicornis to three pesticides.

Authors:  Alberto Linguadoca; Margret Jürison; Sara Hellström; Edward A Straw; Peter Šima; Reet Karise; Cecilia Costa; Giorgia Serra; Roberto Colombo; Robert J Paxton; Marika Mänd; Mark J F Brown
Journal:  Sci Rep       Date:  2022-10-15       Impact factor: 4.996

  6 in total

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