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Deciphering Pesticide Stress Responses in Rice Through Integrated Multi-Omic Assessment.

Azam Safarnejad1, Joaquim Jaumot1, Stefan Platikanov1

  • 1Department of Environmental Chemistry, Institute of Environmental Assessment and Water Research (IDAEA), Spanish National Research Council (CSIC), Jordi Girona 18-26, E008034 Barcelona, Spain.

Toxics
|March 27, 2026
PubMed
Summary
This summary is machine-generated.

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Omics technologies reveal how pesticides harm rice plants by disrupting metabolism and resilience. Integrating multi-omics data is key to understanding these stress responses and developing more tolerant rice varieties.

Area of Science:

  • Agricultural Science
  • Plant Biology
  • Biotechnology

Background:

  • Pesticides are crucial for rice production but cause physiological and biochemical stress in plants.
  • Oxidative damage, metabolic imbalance, and reduced resilience are common stress responses in rice.
  • Omics technologies have identified molecular pathways affected by pesticide exposure, but a rice-specific synthesis is lacking.

Purpose of the Study:

  • To review omics-based approaches for investigating pesticide-induced stress in rice.
  • To synthesize current knowledge on molecular responses to pesticide exposure in rice.
  • To discuss challenges and future directions, including multi-omic integration and biotechnological solutions.

Main Methods:

  • Review of existing literature on omics studies in rice related to pesticide exposure.
Keywords:
crop resiliencemetabolomicsmulti-omicspesticide stressphytotoxicityproteomicsrice (O. sativa)transcriptomics

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  • Focus on transcriptomics, epigenomics, proteomics, and metabolomics.
  • Analysis of molecular responses including gene expression, detoxification, metabolism, and signaling.
  • Main Results:

    • Omics studies show activation of detoxification pathways and changes in antioxidant defenses, hormone signaling, and membrane remodeling.
    • Multi-omic integration offers a holistic view connecting gene regulation, protein activity, and metabolic changes.
    • Identified challenges include data interpretation, multi-omic integration, and translating findings to agricultural practice.

    Conclusions:

    • Omics approaches are vital for understanding pesticide toxicity in rice.
    • Multi-omic integration is crucial for a comprehensive understanding of plant stress responses.
    • Biotechnological strategies can enhance rice tolerance to pesticide exposure, improving crop resilience.