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Transcriptional networks in plant immunity
Abstract
Summary: Next to numerous abiotic stresses, plants are constantly exposed to a variety of pathogens within their environment. Thus, their ability to survive and prosper during the course of evolution was strongly dependent on adapting efficient strategies to perceive and to respond to such potential threats. It is therefore not surprising that modern plants have a highly sophisticated immune repertoire consisting of diverse signal perception and intracellular signaling pathways. This signaling network is intricate and deeply interconnected, probably reflecting the diverse lifestyles and infection strategies used by the multitude of invading phytopathogens. Moreover it allows signal communication between developmental and defense programs thereby ensuring that plant growth and fitness are not significantly retarded. How plants integrate and prioritize the incoming signals and how this information is transduced to enable appropriate immune responses is currently a major research area. An important finding has been that pathogen‐triggered cellular responses involve massive transcriptional reprogramming within the host. Additional key observations emerging from such studies are that transcription factors (TF s) are often sites of signal convergence and that signal‐regulated TF s act in concert with other context‐specific TF s and transcriptional co‐regulators to establish sensory transcription regulatory networks required for plant immunity. Contents Summary 932 I. Introduction 932 II. Major transcription factor families involved in plant immunity 933 III. Regulation of transcriptional complexes 934 IV. Transcription factor networks in phytohormone signaling 938 V. Discussion and perspectives 941 Acknowledgements 943 References 943
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Metadata
- Authors
- Tsuda, K., & Somssich, I. E.
- Venue
- New Phytologist
- Publisher
- Wiley
- Published
- 2015-01-26
- Volume
- 206
- Issue
- 3
- Pages
- 932-947
- ISSN
- 0028-646X (ISSN-L)
- 1469-8137
- OpenAlex
- W2139333496
- Cited by
- 552
- References
- 174
- FWCI
- 41.86
- Type
- journal article
- Language
- en
- Open access
- closed
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.