Innovations in Agrochemical Discovery and the Role of Metabolism, Bioavailability and Formulations

Applying molecular docking to pesticides

Pesticide creation is related to the development of sustainable agricultural and ecological safety, and molecular docking technology can effectively help in pesticide innovation. This paper introduces the basic theory behind molecular docking, pesticide databases, and docking software. It also summarizes the application of molecular docking in the pesticide field, including the virtual screening of lead compounds, detection of pesticides and their metabolites in the environment, reverse screening of pesticide targets, and the study of resistance mechanisms. Finally, problems with the use of molecular docking technology in pesticide creation are discussed, and prospects for the future use of molecular docking technology in new pesticide development are discussed. © 2023 Society of Chemical Industry.

Finding the Missing Property Concepts in Pesticide-Likeness

Poor bioavailability of pesticides is one of the major bottlenecks in the development of pesticides. Applications of the concept of pesticide-likeness have been widely accepted as one of the ways to break the bottleneck. At present, the evaluation of pesticide-likeness is mainly based on absorption, distribution, metabolism, excretion, and toxicity (ADME-T) property concepts of pesticides. However, a few significant property concepts of pesticides are ignored in the research of pesticide-likeness. Herein, we summarize the current study of ADME-T and other property concepts and analyze physicochemical properties for pesticides in the last 30 years, such as Fsp³, log P, and chiral centers. On the basis of these analyses, we propose that molecular complexity and residual property concepts of pesticides should be considered in the pesticide-likeness study. We hope that this work can help pesticide researchers and students, who are less knowledgeable in the field, to assess pesticide-likeness.

Bioactive clerodane diterpenes of giant goldenrod (Solidago gigantea Ait.) root extract

Giant goldenrod (Solidago gigantea Ait.) root extract was screened for bioactive compounds by high-performance thin-layer chromatography (HPTLC), coupled with effect-directed analysis including antibacterial (Bacillus subtilis F1276, B. subtilis subsp. spizizenii, Aliivibrio fischeri and Xanthomonas euvesicatoria), antifungal (Fusarium avenaceum) and enzyme inhibition (acetyl- and butyrylcholinesterases, α- and β-glucosidases and α-amylase) assays. Compounds of six multipotent zones (Sg1-Sg6) were characterized by HPTLC-heated electrospray ionization-high-resolution mass spectrometry (HRMS) and HPTLC-Direct Analysis in Real Time-HRMS. Apart from zone Sg3, containing three compounds, a single characteristic compound was detectable in each bioactive zone. The bioassay-guided isolation using preparative-scale flash chromatography and high-performance liquid chromatography provided eight compounds that were identified by NMR spectroscopy as clerodane diterpenes. All isolates possessed inhibiting activity against at least one of the tested microorganisms.

Pesticide durability and the evolution of resistance: A novel application of survival analysis

BACKGROUND

Arthropod pests are widely perceived to evolve resistance to insecticides at different rates. Although widespread "successful" species are assumed to evolve quickly and minor pests slowly, few studies have utilized published data on resistance events to test for differences among species. Using 532 records from the Arthropod Pesticide Resistance Database covering 20 species, we applied a survival analysis to model the number of generations from insecticide introduction to the first report of arthropod resistance, providing one of the most comprehensive analyses of this question to date. Our approach tested: 1) whether successful pests evolve resistance faster than close relatives, 2) whether species differ significantly in the time to demonstrate resistance, and 3) whether different insecticide classes differ in durability (length of time an insecticide is used before resistance arises).

RESULTS

We found that species differed significantly in the amount of time it took for resistance to be reported. Overall, the median duration between the introduction of an insecticide and the first report of resistance was 66 generations (95% c.i. 60-78 generations), and highly-resistant arthropods did not evolve resistance faster than their relatives. Insecticide durability did not differ by the mode of action or year of introduction.

CONCLUSION

Arthropod species significantly varied in how rapidly they evolve resistance to new insecticides, regardless of their chemistry. Visualization of the history of insecticide resistance provides information to be used for understanding how pesticide resistance evolved and how it can best be managed. © 2018 Society of Chemical Industry.