Wheat tandem kinase RWT4 directly binds a fungal effector to activate defense

IF 31.7 1区 生物学 Q1 GENETICS & HEREDITY
Yi-Chang Sung, Yinghui Li, Zoe Bernasconi, Suji Baik, Soichiro Asuke, Beat Keller, Tzion Fahima, Gitta Coaker
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Abstract

Plants have intricate innate immune receptors that detect pathogens. Research has intensely focused on two receptor classes recognizing external and internal threats. Recent research has identified a class of disease-resistance proteins called tandem kinase proteins (TKPs). We investigated RWT4, a wheat TKP that confers resistance to the devastating fungal pathogen Magnaporthe oryzae. We established a rice protoplast system, revealing RWT4 specifically recognizes the AvrPWT4 effector, leading to the transcription of defense genes and inducing cell death. RWT4 possesses both kinase and pseudokinase domains, with its kinase activity essential for defense. RWT4 directly interacts with and transphosphorylates AvrPWT4. Biolayer interferometry revealed both RWT4 kinase and pseudokinase regions bind the effector. Sequence similarity and structural modeling revealed a partial kinase duplication in RWT4’s kinase region as critical for effector interaction and defense activation. Collectively, these findings demonstrate that TKPs can directly bind a recognized effector, leading to downstream defense activation.

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来源期刊
Nature genetics
Nature genetics 生物-遗传学
CiteScore
43.00
自引率
2.60%
发文量
241
审稿时长
3 months
期刊介绍: Nature Genetics publishes the very highest quality research in genetics. It encompasses genetic and functional genomic studies on human and plant traits and on other model organisms. Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and evolution of gene networks, studied by experimental perturbation. Integrative genetic topics comprise, but are not limited to: -Genes in the pathology of human disease -Molecular analysis of simple and complex genetic traits -Cancer genetics -Agricultural genomics -Developmental genetics -Regulatory variation in gene expression -Strategies and technologies for extracting function from genomic data -Pharmacological genomics -Genome evolution
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