Evidence map›Paper›PMID 42244342›Full record

ReviewJournal of experimental botany2026

Functional and regulatory complexity: challenges and prospects for understanding rice WRKY transcription factors.

Kamal Neupane, Federico Martin, Jan E Leach

Abstract readReview
In one paragraph

Review in Journal of experimental botany, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kamal NeupaneDepartment of Agricultural Biology, Colorado State University, Fort Collins, CO 80537-1177, USA.ORCID 0000-0002-8698-2679
Federico MartinDepartment of Agricultural Biology, Colorado State University, Fort Collins, CO 80537-1177, USA.ORCID 0000-0002-7491-4468
Jan E LeachDepartment of Agricultural Biology, Colorado State University, Fort Collins, CO 80537-1177, USA.ORCID 0000-0001-7252-4397

Funding

Colorado Agricultural Experiment StationFoundation for Food and Agriculture Research GRANT13991590USDA-National Institutes of Food and Agriculture
6 · The paper itself

Abstract

WRKY transcription factors (TFs) are central regulators of plant growth, development, and responses to biotic and abiotic stresses. In rice, the large size of this family, coupled with structural diversity, multifunctionality, redundancy, and extensive network integration, complicates efforts to define precise gene functions. While these features confer regulatory robustness, they limit the interpretability of single-gene analyses and obscure direct gene-trait relationships. This review examines the challenges underlying WRKY functional characterization in rice and highlights how they arise from the intrinsic properties of this gene family. We then present a challenge-centred framework in which experimental and computational approaches are mapped onto the four major barriers to WRKY functional resolution, such as context-dependent activity, multifunctionality, functional redundancy, and compensation. By emphasizing how these approaches resolve distinct layers of WRKY complexity, we provide a problem-driven synthesis of current methodologies. We further underscore the need for integrated WRKY-centric databases to support hypothesis generation and accelerate functional discovery. A systems-level understanding of WRKY TFs, grounded in their regulatory complexity, will be essential to harness their potential to improve stress resilience and productivity in rice.

Indexed as

Gene Expression Regulation, PlantOryzaPlant ProteinsTranscription FactorsPlant ProteinsTranscription FactorsFunctional compensationfunctional redundancymachine learningmultifunctionalityregulatory networkricestress resiliencystress responsestructural predictionWRKY transcription factors

Identifiers

PMID42244342
PMCPMC13577774

What Socratic holds

Textmetadata
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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 Socratic graph.