Evidence map›Paper›PMID 41893478›Full record

ReviewToxics2026

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

Azam Safarnejad, Joaquim Jaumot, Stefan Platikanov

Abstract readReview
In one paragraph

Review in Toxics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Azam SafarnejadDepartment of Environmental Chemistry, Institute of Environmental Assessment and Water Research (IDAEA), Spanish National Research Council (CSIC), Jordi Girona 18-26, E008034 Barcelona, Spain.ORCID 0009-0007-0259-5385
Joaquim JaumotDepartment of Environmental Chemistry, Institute of Environmental Assessment and Water Research (IDAEA), Spanish National Research Council (CSIC), Jordi Girona 18-26, E008034 Barcelona, Spain.ORCID 0000-0003-1461-3273
Stefan PlatikanovDepartment of Environmental Chemistry, Institute of Environmental Assessment and Water Research (IDAEA), Spanish National Research Council (CSIC), Jordi Girona 18-26, E008034 Barcelona, Spain.ORCID 0000-0001-9694-0627

Funding

Marie Skłodowska-Curie Actions (MSCA) under the European Union's Horizon Europe pro-gramme 101210853
6 · The paper itself

Abstract

Pesticides are widely used in rice cultivation for pest control to guarantee crop productivity. Intensive use of these chemicals causes harmful effects on rice plants, such as physiological and biochemical stress responses. Such stress is often expressed as oxidative damage, disruption of metabolic balance, and a reduction in plant resilience to environmental challenges. In recent years, omic technologies (such as transcriptomics, epigenomics, proteomics, and metabolomics) have contributed to identifying molecular pathways affected by pesticide exposure. However, no comprehensive synthesis of rice-specific omic evidence currently exists, limiting translational applications. These omic studies revealed activation of detoxification-related enzymes and transporters, alongside changes in antioxidant defenses, hormone-mediated signaling, and membrane remodeling. This review presents current omic-based approaches used to investigate pesticide-induced stress in rice. It focuses on molecular responses including changes in gene expression, enzymatic detoxification, metabolic reprogramming, and stress signaling pathways. The review also highlights how multi-omic integration can contribute to a more holistic understanding of these stress responses, combining cross-layer evidence that connects gene regulation, protein activity, and metabolic remodeling. Despite these advancements, there are still challenges, particularly in the interpretation of complex datasets, the integration of multiple omic layers and the translation of results to real agricultural conditions. Finally, the review also discusses biotechnological approaches that may improve rice tolerance to pesticide exposure. In summary, the role of omic approaches to elucidate pesticide toxicity in rice and to contribute to more resilient crop production systems is critically reviewed.

Indexed as

crop resiliencemetabolomicsmulti-omicspesticide stressphytotoxicityproteomicsrice (O. sativa)transcriptomics

Identifiers

PMID41893478
PMCPMC13029890

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.