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WRKY transcription factors: evolution, binding, and action
Open accessAbstract
The WRKY transcription factor (TF) gene family expanded greatly in the evolutionary process from green algae to flowering plants through whole genome, segmental, and tandem duplications. Genomic sequences from diverse plant species provide valuable information about the origin and evolution of WRKY domain-containing proteins. Accumulating data indicate that WRKY TFs bind W-box and/or other cis -elements, revealing the specificity of cis -element recognition based on the structure of the WRKY protein as well as the nucleotides adjacent to the core sequences. Physical interactions among WRKY proteins or between WRKY proteins and other regulatory factors afford important insights into the regulation of this TF family. WRKY proteins are essential players in the kinase signaling network. The interaction of plant resistance (R) proteins with WRKY TFs and the existence of unusual chimeric R-WRKY proteins suggest diversity in signaling pathways for rapid immune responses. In this review, we focus mainly on progress in understanding the function of WRKY TFs in response to biotic stresses and focus on their multiple roles in Arabidopsis and rice plants.
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Jones, J. D. G., & Dangl, J. L. (2006) · Nature · doi:10.1038/nature05286 · Cited by 13,177
The Physcomitrella Genome Reveals Evolutionary Insights into the Conquest of Land by Plants
Rensing, S. A., Lang, D., Zimmer, A. D., Terry, A., Salamov, A., Shapiro, H., Nishiyama, T., Perroud, P.-F., Lindquist, E. A., Kamisugi, Y., et al. (2008) · Science · doi:10.1126/science.1150646 · Cited by 1,852
Cistrome and Epicistrome Features Shape the Regulatory DNA Landscape
O’Malley, R. C., Huang, S.-S. C., Song, L., Lewsey, M. G., Bartlett, A., Nery, J. R., Galli, M., Gallavotti, A., & Ecker, J. R. (2016) · Cell · doi:10.1016/j.cell.2016.04.038 · Cited by 1,608
WRKY transcription factors in plant responses to stresses
Jiang, J., Ma, S., Ye, N., Jiang, M., Cao, J., & Zhang, J. (2017) · Journal of Integrative Plant Biology · doi:10.1111/jipb.12513 · Cited by 1,190
Phytoalexins in defense against pathogens
Ahuja, I., Kissen, R., & Bones, A. M. (2012) · Trends in Plant Science · doi:10.1016/j.tplants.2011.11.002 · Cited by 1,144
Differential innate immune signalling via Ca2+ sensor protein kinases
Boudsocq, M., Willmann, M. R., McCormack, M., Lee, H., Shan, L., He, P., Bush, J., Cheng, S.-H., & Sheen, J. (2010) · Nature · doi:10.1038/nature08794 · Cited by 887
Mao, G., Meng, X., Liu, Y., Zheng, Z., Chen, Z., & Zhang, S. (2011) · The Plant Cell · doi:10.1105/tpc.111.084996 · Cited by 876
The WRKY transcription factor superfamily: its origin in eukaryotes and expansion in plants
Zhang, Y., & Wang, L. (2005) · BMC Evolutionary Biology · doi:10.1186/1471-2148-5-1 · Cited by 834
Xu, X., Chen, C., Fan, B., & Chen, Z. (2006) · The Plant Cell · doi:10.1105/tpc.105.037523 · Cited by 799
Shen, Q.-H., Saijo, Y., Mauch, S., Biskup, C., Bieri, S., Keller, B., Seki, H., Ülker, B., Somssich, I. E., & Schulze-Lefert, P. (2007) · Science · doi:10.1126/science.1136372 · Cited by 751
Cited by
Transcription factors-golden keys to modulate the plant metabolism to develop salinity tolerance
Bhat, B. A., Mir, R. A., Mir, W. R., Hamdani, S. S., & Mir, M. A. (2024) · Plant Stress · doi:10.1016/j.stress.2024.100409 · Cited by 47
Metadata
- Authors
- Chen, X., Li, C., Wang, H., & Guo, Z.
- Venue
- Phytopathology Research
- Published
- 2019-04-16
- Volume
- 1
- Issue
- 1
- ISSN
- 2096-5362 (ISSN-L)
- 2524-4167
- OpenAlex
- W2946482608
- Cited by
- 305
- References
- 100
- FWCI
- 7.95
- Type
- journal article
- Language
- en
- Open access
- diamond
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