Jorge Gabriel Lemes, Kim Daewon, Xu Chunhui, Cho Sung-Hwan, Su Lingtao, Xu Dong, Bartley Laura E, Stacey Gary, Thelen Jay J
Division of Biochemistry, C.S. Bond Life Sciences Center, University of Missouri, Columbia, MO, United States.
Division of Plant Science & Technology, C.S. Bond Life Sciences Center, University of Missouri, Columbia, MO, United States.
Front Plant Sci. 2024 Apr 3;15:1372361. doi: 10.3389/fpls.2024.1372361. eCollection 2024.
Plants are remarkable in their ability to adapt to changing environments, with receptor-like kinases (RLKs) playing a pivotal role in perceiving and transmitting environmental cues into cellular responses. Despite extensive research on RLKs from the plant kingdom, the function and activity of many kinases, i.e., their substrates or "clients", remain uncharted. To validate a novel client prediction workflow and learn more about an important RLK, this study focuses on P2K1 (DORN1), which acts as a receptor for extracellular ATP (eATP), playing a crucial role in plant stress resistance and immunity. We designed a Kinase-Client (KiC) assay library of 225 synthetic peptides, incorporating previously identified P2K phosphorylated peptides and novel predictions from a deep-learning phosphorylation site prediction model (MUsite) and a trained hidden Markov model (HMM) based tool, HMMER. Screening the library against purified P2K1 cytosolic domain (CD), we identified 46 putative substrates, including 34 novel clients, 27 of which may be novel peptides, not previously identified experimentally. Gene Ontology (GO) analysis among phosphopeptide candidates revealed proteins associated with important biological processes in metabolism, structure development, and response to stress, as well as molecular functions of kinase activity, catalytic activity, and transferase activity. We offer selection criteria for efficient further experiments to confirm these discoveries. This approach not only expands our knowledge of P2K1's substrates and functions but also highlights effective prediction algorithms for identifying additional potential substrates. Overall, the results support use of the KiC assay as a valuable tool in unraveling the complexities of plant phosphorylation and provide a foundation for predicting the phosphorylation landscape of plant species based on peptide library results.
植物在适应不断变化的环境方面能力非凡,其中类受体激酶(RLKs)在感知环境信号并将其转化为细胞反应中起着关键作用。尽管对植物界的RLKs进行了广泛研究,但许多激酶的功能和活性,即它们的底物或“客户”,仍不为人知。为了验证一种新的客户预测流程并更多地了解一种重要的RLK,本研究聚焦于P2K1(DORN1),它作为细胞外ATP(eATP)的受体,在植物抗逆性和免疫中起关键作用。我们设计了一个包含225种合成肽的激酶-客户(KiC)分析文库,其中纳入了先前鉴定的P2K磷酸化肽以及来自深度学习磷酸化位点预测模型(MUsite)和基于训练的隐马尔可夫模型(HMM)的工具HMMER的新预测结果。用纯化的P2K1胞质结构域(CD)筛选该文库,我们鉴定出46个推定底物,包括34个新客户,其中27个可能是新肽,以前未通过实验鉴定。磷酸肽候选物的基因本体(GO)分析揭示了与代谢、结构发育和应激反应等重要生物学过程相关的蛋白质,以及激酶活性、催化活性和转移酶活性的分子功能。我们提供了有效进一步实验的选择标准以证实这些发现。这种方法不仅扩展了我们对P2K1底物和功能 的了解,还突出了用于识别其他潜在底物的有效预测算法。总体而言,结果支持将KiC分析作为揭示植物磷酸化复杂性的有价值工具,并为基于肽文库结果预测植物物种的磷酸化格局提供了基础。