Evidence map›Paper›PMID 35829836›Full record

ReviewProtoplasma2023

WRKY transcription factors: evolution, regulation, and functional diversity in plants.

Pooja Goyal, Ritu Devi, Bhawana Verma, Shahnawaz Hussain, Palak Arora, Rubeena Tabassum, Suphla Gupta

Abstract readReview
PubMed Publisher
In one paragraph

Review in Protoplasma, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 pooled it
–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

56 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  15. Plants (Basel, Switzerland) · 2025
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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

7 authors.

Pooja GoyalPlant Science & Agrotechnology, CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu, Jammu & Kashmir, 180001, India.
Ritu DeviPlant Science & Agrotechnology, CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu, Jammu & Kashmir, 180001, India.
Bhawana VermaPlant Science & Agrotechnology, CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu, Jammu & Kashmir, 180001, India.
Shahnawaz HussainPlant Science & Agrotechnology, CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu, Jammu & Kashmir, 180001, India.
Palak AroraPlant Science & Agrotechnology, CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu, Jammu & Kashmir, 180001, India.
Rubeena TabassumPlant Science & Agrotechnology, CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu, Jammu & Kashmir, 180001, India.
Suphla GuptaPlant Science & Agrotechnology, CSIR-Indian Institute of Integrative Medicine, Canal Road, Jammu, Jammu & Kashmir, 180001, India. sgupta@iiim.ac.in.ORCID http://orcid.org/0000-0001-6688-5575

Funding

UGC-DAE Consortium for Scientific Research, University Grants Commission 327955
6 · The paper itself

Abstract

The recent advancements in sequencing technologies and informatic tools promoted a paradigm shift to decipher the hidden biological mysteries and transformed the biological issues into digital data to express both qualitative and quantitative forms. The transcriptomic approach, in particular, has added new dimensions to the versatile essence of plant genomics through the large and deep transcripts generated in the process. This has enabled the mining of super families from the sequenced plants, both model and non-model, understanding their ancestry, diversity, and evolution. The elucidation of the crystal structure of the WRKY proteins and recent advancement in computational prediction through homology modeling and molecular dynamic simulation has provided an insight into the DNA-protein complex formation, stability, and interaction, thereby giving a new dimension in understanding the WRKY regulation. The present review summarizes the functional aspects of the high volume of sequence data of WRKY transcription factors studied from different species, till date. The review focuses on the dynamics of structural classification and lineage in light of the recent information. Additionally, a comparative analysis approach was incorporated to understand the functions of the identified WRKY transcription factors subjected to abiotic (heat, cold, salinity, senescence, dark, wounding, UV, and carbon starvation) stresses as revealed through various sets of studies on different plant species. The review will be instrumental in understanding the events of evolution and the importance of WRKY TFs under the threat of climate change, considering the new scientific evidences to propose a fresh perspective.

Indexed as

Plant ProteinsTranscription FactorsGene Expression ProfilingGene Expression Regulation, PlantGenome, PlantPhylogenyPlantsStress, PhysiologicalPlant ProteinsTranscription FactorsAbiotic stressCarbon starvationRegulationStructural classificationWRKY lineageWRKY protein

Identifiers

What OpenQuestion holds

Textmetadata
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.