Evidence map›Paper›PMID 41524271›Full record

ReviewPlant biotechnology journal2026

WRKY Transcription Factors: Integral Regulators of Defence Responses to Biotic Stress in Crops.

Dongjiao Wang, Ruize Zhang, Wenhui Zou, Yuanyuan Zhang, Wanying Zhao, Tingting Sun, Qibin Wu, Zheng Qing Fu, Youxiong Que

Abstract readReview
In one paragraph

Review in Plant biotechnology journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

9 authors.

Dongjiao WangState Key Laboratory for Tropical Crop Breeding, Institute of Tropical Bioscience and Biotechnology, Sanya Research Institute, Chinese Academy of Tropical Agricultural Sciences, Sanya, Hainan, China.
Ruize ZhangDepartment of Biological Sciences, University of South Carolina, Columbia, South Carolina, USA.
Wenhui ZouState Key Laboratory for Tropical Crop Breeding, Institute of Tropical Bioscience and Biotechnology, Sanya Research Institute, Chinese Academy of Tropical Agricultural Sciences, Sanya, Hainan, China.
Yuanyuan ZhangState Key Laboratory for Tropical Crop Breeding, Institute of Tropical Bioscience and Biotechnology, Sanya Research Institute, Chinese Academy of Tropical Agricultural Sciences, Sanya, Hainan, China.
Wanying ZhaoState Key Laboratory for Tropical Crop Breeding, Institute of Tropical Bioscience and Biotechnology, Sanya Research Institute, Chinese Academy of Tropical Agricultural Sciences, Sanya, Hainan, China.
Tingting SunState Key Laboratory for Tropical Crop Breeding, Institute of Tropical Bioscience and Biotechnology, Sanya Research Institute, Chinese Academy of Tropical Agricultural Sciences, Sanya, Hainan, China.
Qibin WuState Key Laboratory for Tropical Crop Breeding, Institute of Tropical Bioscience and Biotechnology, Sanya Research Institute, Chinese Academy of Tropical Agricultural Sciences, Sanya, Hainan, China.ORCID https://orcid.org/0000-0002-3600-7613
Zheng Qing FuDepartment of Biological Sciences, University of South Carolina, Columbia, South Carolina, USA.ORCID https://orcid.org/0000-0003-1519-6192
Youxiong QueState Key Laboratory for Tropical Crop Breeding, Institute of Tropical Bioscience and Biotechnology, Sanya Research Institute, Chinese Academy of Tropical Agricultural Sciences, Sanya, Hainan, China.ORCID https://orcid.org/0000-0003-1111-5834

Funding

Central Public-interest Scientific Institution Basal Research Fund 163002025013Central Public-interest Scientific Institution Basal Research Fund 1630052025021Central Public-interest Scientific Institution Basal Research Fund 1630052025034China Agriculture Research System of MOF and MARA CARS-17Chinese Academy of Tropical Agricultural Sciences for Science and Technology Innovation Team of National Tropical Agricultural Science Center CATASCXTD202402Guangxi Key Laboratory of Sugarcane Genetic Improvement 21-238-16-K-02-07National Key R&D Program of China 2022YFD2301100Project of Sanya Yazhou Bay Science and Technology City SKJC-JYRC-2025-63Project of State Key Laboratory of Tropical Crop Breeding NKLTCBCXTD24Project of State Key Laboratory of Tropical Crop Breeding NKLTCBCXTD38Project of State Key Laboratory of Tropical Crop Breeding NKLTCB-HZ04Project of State Key Laboratory of Tropical Crop Breeding NKLTCB-RC202401Project of State Key Laboratory of Tropical Crop Breeding SKLTCBQN202514Science and Technology Major Project of Guangxi Guike AA23073001
6 · The paper itself

Abstract

Crops are continually challenged by biotic stresses, including fungal, bacterial and viral pathogens and insect pests, which cause substantial yield and quality losses worldwide. WRKY transcription factors constitute a plant-specific and functionally diverse family that is central to immune regulation. Recent advances in genomic resources and multi-omics approaches have accelerated the identification and functional characterisation of WRKYs in crops. This review summarises the structural features and classification of WRKY genes and their genome-wide distribution across crop species. It also synthesises WRKY-centred regulatory modules that mediate resistance to major classes of biotic stress. In antifungal defence, WRKYs reinforce pattern- and effector-triggered immunity, modulate protein stability and reprogramme secondary metabolism. In antibacterial immunity, they link bacterial perception to cell wall remodelling and hormone and redox signalling. WRKYs also activate PR gene expression, cell wall fortification, RNA interference and programmed cell death to combat oomycete and viral pathogens and insect pests. Overall, WRKYs function as context-dependent transcriptional hubs. They integrate immune signalling with hormonal crosstalk, remodel defence gene networks, and redirect secondary metabolism, thereby shaping resistance outcomes under biotic stress. The review examines WRKY-mediated defence-growth trade-offs and explores opportunities to harness WRKY-centred networks for breeding and engineering broad-spectrum, durable disease and pest resistance. It also highlights how integrating multi-omics with precision genome editing, synthetic biology, gene-drive technologies and artificial intelligence could establish WRKYs as central molecular targets for improving crop resilience and performance.

Indexed as

Crops, AgriculturalPlant ProteinsStress, PhysiologicalTranscription FactorsGene Expression Regulation, PlantPlant ImmunityPlant ProteinsTranscription Factorsbiotic stressescrop immunitydefence‐growth equilibriumtranscriptional regulationWRKY transcription factors

Identifiers

PMID41524271
PMCPMC13110164

What OpenQuestion holds

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Registered trials

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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.