Evidence map›Paper›PMID 39838282›Full record

ArticleBMC plant biology2025

Genome-wide identification, characterization and expression analysis of WRKY transcription factors under abiotic stresses in Carthamus tinctorius L.

Zhengwei Tan, Dandan Lu, Yongliang Yu, Lei Li, Lanjie Xu, Wei Dong, Qing Yang, Chunming Li, Xiufu Wan, Huizhen Liang

Abstract read
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Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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  5. Characteristics and Expression Profiles of IdentifiedInternational journal of molecular sciences · 2025
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4 · The record

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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

10 authors.

Zhengwei TanInstitute of Chinese Herbel Medicines, Henan Academy of Agricultural Sciences, Zhengzhou , Henan, 450002, China.
Dandan LuInstitute of Chinese Herbel Medicines, Henan Academy of Agricultural Sciences, Zhengzhou , Henan, 450002, China.
Yongliang YuInstitute of Chinese Herbel Medicines, Henan Academy of Agricultural Sciences, Zhengzhou , Henan, 450002, China.
Lei LiInstitute of Chinese Herbel Medicines, Henan Academy of Agricultural Sciences, Zhengzhou , Henan, 450002, China.
Lanjie XuInstitute of Chinese Herbel Medicines, Henan Academy of Agricultural Sciences, Zhengzhou , Henan, 450002, China.
Wei DongInstitute of Chinese Herbel Medicines, Henan Academy of Agricultural Sciences, Zhengzhou , Henan, 450002, China.
Qing YangInstitute of Chinese Herbel Medicines, Henan Academy of Agricultural Sciences, Zhengzhou , Henan, 450002, China.
Chunming LiInstitute of Chinese Herbel Medicines, Henan Academy of Agricultural Sciences, Zhengzhou , Henan, 450002, China.
Xiufu WanState Key Laboratory for Quality Ensurance and Sustainable Use of Dao-Di Herbs, National Resource Center for Chinese Materia Medica, China, Academy of Chinese Medical Sciences , Beijng, 100700, China.
Huizhen LiangInstitute of Chinese Herbel Medicines, Henan Academy of Agricultural Sciences, Zhengzhou , Henan, 450002, China. lhzh66666@163.com.

Funding

China Agriculture Research System of MOF and MARA CARS-21Henan Academy of Agricultural Sciences Emerging Discipline Development Project 2024XK01Henan Academy of Agricultural Sciences Independent Innovation Special Fund 2024ZC040Henan Academy of Agricultural Sciences Outstanding Youth Science and Technology Fund 2024YQ15、2024YQ16Henan Center for Outstanding Overseas Scientists GZS2024025Henan Province Science and Technology Research Projects 232102110198、232102110243、232102110262、242102110248、242102110260Key project at central government level: The ability establishment of sustainable use for valuable Chinese medicine resource 2060302Key Research and Development Program of Henan 241111310200, 231111110800Major Science and Technology Projects in Henan Province 221100310400
6 · The paper itself

Abstract

backgroundWRKY transcription factors constitute one of the largest families of plant transcriptional regulators, playing pivotal roles in plant responses to biotic and abiotic stresses, as well as in hormonal signaling and secondary metabolism regulation. However, a comprehensive analysis of the WRKY family in Carthamus tinctorius (safflower) is lacking. This study aims to identify and characterize WRKY genes in safflower to enhance understanding of their roles in stress responses and metabolic regulation. Safflower, valued for its ornamental, medicinal, and culinary uses, exhibits significant resilience to salt, alkali, and drought. By elucidating the functions and expression patterns of WRKY genes, we aim to enhance breeding strategies for improved stress tolerance and metabolic traits in crops.

resultsIn this study, we identified 84 WRKY genes within the safflower genome, and classified them into three primary groups (Groups I, II, and III) based on molecular structure and phylogenetic relationships. Group II was further subdivided into five subgroups (II-a, II-b, II-c, II-d, and II-e). Gene structure, conserved domain, motif, cis-elements, and expression profiling were performed. Syntenic analysis revealed that there were 27 pairs of repetitive fragments. Expression profiles of CtWRKY genes were assessed across diverse tissues, colored cultivars, and abiotic stresses such as ABA, drought, and cold conditions. Several CtWRKY genes (e.g., CtWRKY44, CtWRKY63, CtWRKY65, CtWRKY70 and CtWRKY72) exhibited distinct expression patterns in response to cold stress and during different developmental stages. Additionally, CtWRKY13, CtWRKY69, CtWRKY29, CtWRKY56, and CtWRKY36 were upregulated across different flower colors. The expression patterns of CtWRKY48, CtWRKY58, and CtWRKY70 varied among safflower cultivars and flower colors. After exposure to drought stress, the expression levels of CtWRKY29 and CtWRKY58 were downregulated, while those of CtWRKY56 and CtWRKY62 were upregulated.

conclusionThis study identified 84 WRKY genes in Carthamus tinctorius and classified them into three groups, with detailed analyses of their structure, conserved domains, motifs, and expression profiles under various stresses. Notably, several WRKY genes such as CtWRKY44, CtWRKY63, and CtWRKY72 displayed significant expression changes under cold stress, while CtWRKY56 and CtWRKY62 were responsive to drought stress. These findings highlight the critical roles of specific WRKY genes in abiotic stress tolerance and developmental regulation in safflower.

Indexed as

Carthamus tinctoriusGenome, PlantPlant ProteinsStress, PhysiologicalTranscription FactorsDroughtsGene Expression Regulation, PlantGenes, PlantPhylogenyPlant ProteinsTranscription FactorsABAAbioticColdDroughtExpression patternsSafflowerStressWRKY

Identifiers

PMID39838282
PMCPMC11748509

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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.