Pollen PCP-B peptides unlock a stigma peptide–receptor kinase gating mechanism for pollination

IF 5.6 2区化学 Q1 CHEMISTRY, MEDICINAL

Journal of Chemical Information and Modeling Pub Date : 2021-04-09 DOI:10.1126/science.abc6107

Chen Liu, Lianping Shen, Yu Xiao, David Vyshedsky, Chao Peng, Xiang Sun, Zhiwen Liu, Lijun Cheng, Hua Zhang, Zhifu Han, Jijie Chai, Hen-Ming Wu, Alice Y. Cheung, Chao Li

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引用次数: 75

Abstract

Sexual reproduction in angiosperms relies on precise communications between the pollen and pistil. The molecular mechanisms underlying these communications remain elusive. We established that in Arabidopsis, a stigmatic gatekeeper, the ANJEA–FERONIA (ANJ–FER) receptor kinase complex, perceives the RAPID ALKALINIZATION FACTOR peptides RALF23 and RALF33 to induce reactive oxygen species (ROS) production in the stigma papillae, whereas pollination reduces stigmatic ROS, allowing pollen hydration. Upon pollination, the POLLEN COAT PROTEIN B-class peptides (PCP-Bs) compete with RALF23/33 for binding to the ANJ–FER complex, leading to a decline of stigmatic ROS that facilitates pollen hydration. Our results elucidate a molecular gating mechanism in which distinct peptide classes from pollen compete with stigma peptides for interaction with a stigmatic receptor kinase complex, allowing the pollen to hydrate and germinate.

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花粉 PCP-B 肽开启了柱头肽受体激酶授粉的门控机制

被子植物的有性生殖依赖于花粉和雌蕊之间的精确通信。这些沟通的分子机制仍然难以捉摸。我们发现，在拟南芥中，柱头守门人 ANJEA-FERONIA （ANJ-FER）受体激酶复合物会感知 RAPID ALKALINIZATION FACTOR 肽 RALF23 和 RALF33，从而诱导柱头乳头产生活性氧（ROS），而授粉会减少柱头的 ROS，使花粉水合。授粉时，柱头衣壳蛋白 B 级肽（PCP-Bs）与 RALF23/33 竞争结合到 ANJ-FER 复合物，导致柱头 ROS 减少，从而促进花粉水合。我们的研究结果阐明了一种分子门控机制，在这种机制中，来自花粉的不同肽类与柱头肽竞争与柱头受体激酶复合物的相互作用，从而使花粉水合和发芽。

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来源期刊

Journal of Chemical Information and Modeling 化学-化学综合

CiteScore

9.80

自引率

10.70%

发文量

529

审稿时长

1.4 months

期刊介绍： The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.