《科学》 第393卷 第6815期 · 2026年9月3日 · 中文解读
可编程设计合成植物免疫受体以识别病原体蛋白
Programmable design of synthetic plant immune receptors for pathogen protein recognition · Haocheng Zhu, Dandan Jiang, Qiao Zhang, Kang Zhang, Kevin Tianmeng Zhao, Jin-Long Qiu, Caixia Gao
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这篇讲什么
该研究报道了通过将从头设计的结合模块移植到植物免疫受体的整合诱饵结构域中,构建可编程合成植物免疫受体(SPIRs),使其能够识别来自病毒、细菌、真菌和卵菌的病原体蛋白。
原文开头
Haocheng Zhu†, Dandan Jiang†, Qiao Zhang†, Kang Zhang, Kevin Tianmeng Zhao, Jin-Long Qiu, Caixia Gao* INTRODUCTION: Current resistance breeding strategies rely heavily on resistance (R) genes, most of which encode intracellular nucleotide-binding leucine-rich repeat (NLR) immune receptors. However, this resistance is frequently overcome by rapidly evolving pathogens. To counter newly adapted pathogens, additional NLR receptors must be identified and introgressed into crops to develop new varieties, but this process is constrained by the limited diversity and slow discovery of natural R genes. By contrast, designing custom plant immune receptors offers a more efficient and potentially universal strategy for conferring crop resistance against emerging pathogens. Nevertheless, a scalable platform for the efficient design of plant immune receptors remains elusive. …
摘自《科学》(Science)第393卷 第6815期 · 2026年9月3日,Haocheng Zhu, Dandan Jiang, Qiao Zhang, Kang Zhang, Kevin Tianmeng Zhao, Jin-Long Qiu, Caixia Gao。仅引用开头一小段供了解文章,版权归原刊所有,全文请阅读原刊。

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