生物
效应器
计算生物学
领域(数学分析)
植物免疫
生物技术
免疫系统
模式识别受体
植物病害
植物生物学
合成生物学
病菌
受体
病原相关分子模式
免疫受体
寄主(生物学)
电厂系统
生化工程
系统生物学
植物生长
植物发育
基因工程
作者
Daniel S. Yu,Mark J. Banfield
标识
DOI:10.1016/j.pbi.2025.102828
摘要
Diseases caused by plant pathogens are a major factor decreasing crop yields that lead to food insecurity. To protect against pathogen threats, plants possess a multifaceted immune system that perceive threats derived from plant pathogens, resulting in the activation of immune responses. Evolutionary pressures allow plant pathogens to evolve rapidly and evade recognition by nucleotide-binding leucine-rich repeat (NLR) receptors. In recent years, advancements in our understanding of the molecular and structural basis of effector recognition by NLRs have enabled targeted strategies for engineered receptors that contain novel or expanded recognition profiles. In conjunction with advancements in structural modeling and synthetic biology tools, this has transformed our ability to manipulate plant receptors with precision. Here, we highlight structure-based approaches toward engineering plant NLRs, including integrated domain (ID) engineering and leucine-rich repeat resurfacing, discuss challenges associated with NLR engineering, and highlight future engineering approaches to enhance the plant immune system against pathogen threats.
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