工程模式识别受体增强植物的广谱抗性,这一成果由德国蒂宾根大学Andrea A. Gust团队经过不懈努力而取得。相关论文于2025年10月13日发表于国际顶尖学术期刊《自然—生物技术》杂志上。
在这里,课题组证明了拟南芥受体样蛋白RLP23,可以识别来自三个不同微生物王国的分子模式,当引入茄科作物番茄时,赋予广谱抗性。该课题组研究人员还发现RLP的C端结构域对于确保异源性表达过程中的相容性和有效性至关重要。C端结构域的靶向工程显著增强了RLP23及其主题,使番茄对细菌、真菌和卵霉菌病原体的抗性转移到番茄植株上,而不影响产量。研究人员将这种RLP工程策略扩展到水稻和杨树,突出其广泛的适用性。这些发现为基于PRR的工程建立了一个通用的框架,为可持续作物保护开辟了更多的途径。
据悉,传统的植物抗性育种主要集中在细胞内免疫受体上,而细胞表面模式识别受体(PRRs)由于其对抗性的贡献相对较小而未得到充分的研究。然而,PRRs为作物改良提供了尚未开发的潜力。
附:英文原文
Title: Engineered pattern recognition receptors enhance broad-spectrum plant resistance
Author: Yang, Yuankun, Steidele, Christina E., Huang, Xianlong, Lffelhardt, Birgit, Huang, Lili, Jones, Jonathan D. G., Nrnberger, Thorsten, Ding, Pingtao, Gust, Andrea A.
Issue&Volume: 2025-10-13
Abstract: Conventional plant resistance breeding has primarily focused on intracellular immune receptors, while cell-surface pattern recognition receptors (PRRs) have been underexplored because of their comparatively modest contributions to resistance. However, PRRs offer untapped potential for crop improvement. Here we demonstrate that the Arabidopsis receptor-like protein RLP23, which recognizes molecular patterns from three distinct microbial kingdoms, confers broad-spectrum resistance when introduced into the Solanaceae crop tomato. We also identify the C-terminal domain of RLPs as crucial for ensuring compatibility and efficacy during heterologous expression. Targeted engineering of the C-terminal domain significantly enhances RLP23 and its use, enabling transfer of robust resistance against bacterial, fungal and oomycete pathogens to tomato plants without compromising yield. We extend this RLP engineering strategy to rice and poplar, highlighting its broad applicability. These findings establish a versatile framework for PRR-based engineering, opening additional avenues for sustainable crop protection.
DOI: 10.1038/s41587-025-02858-8
Source: https://www.nature.com/articles/s41587-025-02858-8
Nature Biotechnology:《自然—生物技术》,创刊于1996年。隶属于施普林格·自然出版集团,最新IF:68.164
官方网址:https://www.nature.com/nbt/
投稿链接:https://mts-nbt.nature.com/cgi-bin/main.plex