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New paradigms in cell adaptation: decades of discoveries on the CrRLK1L receptor kinase signalling network

文献类型： 外文期刊

作者： Zhu, Sirui 1 ; Fu, Qiong 1 ; Xu, Fan 1 ; Zheng, Heping 1 ; Yu, Feng 1 ;

作者机构： 1.Hunan Univ, Coll Biol, State Key Lab Chemobiosensing & Chemometr, Changsha 410082, Peoples R China

2.Hunan Univ, Coll Biol, Hunan Key Lab Plant Funct Genom & Dev Regulat, Changsha 410082, Peoples R China

3.Hunan Hybrid Rice Res Ctr, State Key Lab Hybrid Rice, Changsha 410125, Peoples R China

关键词： cell adaptation; CrRLK1L; FER receptor kinase; RALF peptide; stress responses

期刊名称：NEW PHYTOLOGIST （ 影响因子：10.152； 五年影响因子：10.476 ）

ISSN： 0028-646X

年卷期： 2021 年 232 卷 3 期

页码：

收录情况： SCI

摘要： Receptor-like kinases (RLKs), which constitute the largest receptor family in plants, are essential for perceiving and relaying information about various environmental stimuli. Tremendous progress has been made in the past few decades towards elucidating the mechanisms of action of several RLKs, with emerging paradigms pointing to their roles in cell adaptations. Among these paradigms, Catharanthus roseus receptor-like kinase 1-like (CrRLK1L) proteins and their rapid alkalinization factor (RALF) peptide ligands have attracted much interest. In particular, FERONIA (FER) is a CrRLK1L protein that participates in a wide array of physiological processes associated with RALF signalling, including cell growth and monitoring cell wall integrity, RNA and energy metabolism, and phytohormone and stress responses. Here, we analyse FER in the context of CrRLK1L members and their ligands in multiple species. The FER working model raises many questions about the role of CrRLK1L signalling networks during cell adaptation. For example, how do CrRLK1Ls recognize various RALF peptides from different organisms to initiate specific phosphorylation signal cascades? How do RALF-FER complexes achieve their specific, sometimes opposite, functions in different cell types? Here, we summarize recent major findings and highlight future perspectives in the field of CrRLK1L signalling networks.

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