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  • New
  • Research Article
  • 10.1016/j.pestbp.2026.107129
Reducing expression of salivary protein genes by insecticides contributed to suppressing feeding and reproduction in Laodelphax striatellus
  • Jun 1, 2026
  • Pesticide Biochemistry and Physiology
  • Dong Teng + 4 more

  • New
  • Research Article
  • 10.1016/j.pestbp.2026.107098
Prediction and interpretation of pesticide behavior in acidic soil based on XGBoost-SHAP
  • Jun 1, 2026
  • Pesticide Biochemistry and Physiology
  • Yan Hu + 2 more

  • New
  • Research Article
  • 10.1016/j.pestbp.2026.107118
Antifungal activity and action mechanisms of 2, 4-Di-tert-butylphenol from Bacillus amyloliquefaciens Z-7 volatile organic compounds against Verticillium dahliae
  • Jun 1, 2026
  • Pesticide Biochemistry and Physiology
  • Hong Tan + 10 more

  • New
  • Research Article
  • 10.1016/j.pestbp.2026.107128
Molecular dynamics and mutagenesis reveal OBP2-mediated imidacloprid resistance in Nilaparvata lugens
  • Jun 1, 2026
  • Pesticide Biochemistry and Physiology
  • Mengqing Deng + 4 more

  • New
  • Research Article
  • 10.1016/j.pestbp.2026.107133
Fusion dsRNAs delivered by plants for multiplex gene silencing and sustainable, predator-safe management of Tuta absoluta
  • Jun 1, 2026
  • Pesticide Biochemistry and Physiology
  • Li Yang + 6 more

  • New
  • Research Article
  • 10.1016/j.pestbp.2026.107132
Herbicide metabolism and EPSPS Pro-106-Ser substitution confer multiple resistance in Chenopodium spp. from Southern Spain
  • Jun 1, 2026
  • Pesticide Biochemistry and Physiology
  • Antonia M Rojano-Delgado + 7 more

  • New
  • Research Article
  • 10.1016/j.pestbp.2026.107113
BmEAK7 inhibits BmNPV infection through enhanced cellular phagocytosis
  • Jun 1, 2026
  • Pesticide Biochemistry and Physiology
  • Xiangrui Ding + 9 more

  • New
  • Research Article
  • 10.1016/j.pestbp.2026.107116
LmCYP3136A1: A cysteine-deficient P450 with dual roles in specific insecticide detoxification and olfaction in Locusta migratoria
  • Jun 1, 2026
  • Pesticide Biochemistry and Physiology
  • Xinyao Chen + 4 more

  • Research Article
  • 10.1016/j.pestbp.2026.107086
Fenclorim-induced cytochrome P450 CYP94C2 activity in Oryza sativa L. confers resistance to pretilachlor and isoproturon.
  • May 1, 2026
  • Pesticide biochemistry and physiology
  • Dan Hu + 3 more

  • Research Article
  • 10.1016/j.pestbp.2026.107073
Inhibitors of isocitrate lyase for weed suppression: Molecular modeling and biological evaluation.
  • May 1, 2026
  • Pesticide biochemistry and physiology
  • Paulo Vinicius Moreira Da Costa Menezes + 22 more

Isocitrate lyase (ICL) plays a central role in mobilizing seed lipid reserves by converting fatty acids into sugars during early seedling development. In the present study, a three-dimensional model of ICL was constructed to identify potential ligands through virtual screening simulations. In vitro and in vivo assays were conducted to evaluate the effects of the selected ligands, itaconate and tartrate, on the development of various crop and weed species differing in seed lipid content. The effects of itaconate were assessed in 5-day-old seedlings grown in germination boxes (50-1000μM) and in 14-day-old seedlings grown in pots under greenhouse conditions (0.008-16.25g/dm3). Overall, species with higher seed lipid content exhibited greater sensitivity to itaconate inhibition, particularly during early seedling growth. ICL activity extracted from sensitive species was inhibited by itaconate, whereas tartrate had no effect. As a consequence of its primary action in the glyoxylate cycle, itaconate impaired gluconeogenesis in cotyledons of Euphorbia heterophylla seedlings, reducing sugar export to the roots and thereby inhibiting seedling development. However, the concentrations required to achieve weed mortality in greenhouse-grown plants were substantially high, indicating limited herbicidal efficacy of itaconate. Structural modification of itaconate to enhance interaction with ICL catalytic residues or improve cellular uptake may yield more effective herbicidal candidates. The detailed protein-ligand interaction data provided by the ArThaICL docking model developed in this study represents a valuable tool to guide this optimization process.