氮特异性相互作用组分析揭示了 SnRK1 和 TOR 激酶在植物氮信号转导中的作用

IF 6.1 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Molecular & Cellular Proteomics Pub Date : 2024-10-01 Epub Date: 2024-09-20 DOI:10.1016/j.mcpro.2024.100842
Freya Persyn, Wouter Smagghe, Dominique Eeckhout, Toon Mertens, Thomas Smorscek, Nancy De Winne, Geert Persiau, Eveline Van De Slijke, Nathalie Crepin, Astrid Gadeyne, Jelle Van Leene, Geert De Jaeger
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引用次数: 0

摘要

氮(N)对植物的生长和发育至关重要。多项研究表明,氮信号与碳(C)水平密切相关,但碳/氮代谢与生长之间的相互作用在很大程度上仍是一个谜。然而,蛋白激酶蔗糖不发酵 1(SNF1)相关激酶 1(SnRK1)和雷帕霉素靶蛋白激酶(TOR)这两个古老的中央代谢调节因子正在成为连接碳/氮状态与生长的关键整合因子。尽管它们具有举足轻重的作用,但对氮状态的感知及其与碳供应的整合以驱动新陈代谢决策背后的确切机制在很大程度上仍不为人所知。尤其是 SnRK1,目前还不清楚这种激酶如何对改变的 N 水平做出反应。因此,我们首先利用体内基于相位的激酶活性报告分离(SPARK)传感器监测了依赖于氮的 SnRK1 激酶活性,发现拟南芥(Arabidopsis thaliana)芽组织和根组织对氮的依赖性截然不同。接下来,我们利用亲和纯化(AP)和邻近标记(PL)结合质谱(MS)实验,在拟南芥细胞培养物中构建了一个全面的 SnRK1 和 TOR 在缺氮和缺氮生长条件下的相互作用组。为了拓宽我们对 TOR/SnRK1 信号转导事件的 N 特异性的理解,我们将得到的网络与相应的 C 相关网络进行了比较,发现了大量新型的 N 特异性相互作用者。此外,通过整合 N 依赖性转录组和磷酸化蛋白组数据,我们还能确定更多的 N 依赖性网络成分,例如,突出了可能在 C/N 信号转导交叉过程中发挥作用的 SnRK1 调控蛋白。最后,对已知 SnRK1 相互作用者的确认和新型 SnRK1 相互作用者的鉴定(如肌醇配位 1 (IRE1A) 和 RAB GTPase RAB18)表明,存在于 ER 的 SnRK1 参与了 N 信号转导和自噬诱导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Nitrogen-specific Interactome Analysis Sheds Light on the Role of the SnRK1 and TOR Kinases in Plant Nitrogen Signaling.

Nitrogen (N) is of utmost importance for plant growth and development. Multiple studies have shown that N signaling is tightly coupled with carbon (C) levels, but the interplay between C/N metabolism and growth remains largely an enigma. Nonetheless, the protein kinases Sucrose Non-fermenting 1 (SNF1)-Related Kinase 1 (SnRK1) and Target Of Rapamycin (TOR), two ancient central metabolic regulators, are emerging as key integrators that link C/N status with growth. Despite their pivotal importance, the exact mechanisms behind the sensing of N status and its integration with C availability to drive metabolic decisions are largely unknown. Especially for SnRK1, it is not clear how this kinase responds to altered N levels. Therefore, we first monitored N-dependent SnRK1 kinase activity with an in vivo Separation of Phase-based Activity Reporter of Kinase (SPARK) sensor, revealing a contrasting N-dependency in Arabidopsis thaliana (Arabidopsis) shoot and root tissues. Next, using affinity purification (AP) and proximity labeling (PL) coupled to mass spectrometry (MS) experiments, we constructed a comprehensive SnRK1 and TOR interactome in Arabidopsis cell cultures during N-starved and N-repleted growth conditions. To broaden our understanding of the N-specificity of the TOR/SnRK1 signaling events, the resulting network was compared to corresponding C-related networks, identifying a large number of novel, N-specific interactors. Moreover, through integration of N-dependent transcriptome and phosphoproteome data, we were able to pinpoint additional N-dependent network components, highlighting for instance SnRK1 regulatory proteins that might function at the crosstalk of C/N signaling. Finally, confirmation of known and identification of novel SnRK1 interactors, such as Inositol-Requiring 1 (IRE1A) and the RAB GTPase RAB18, indicate that SnRK1, present at the ER, is involved in N signaling and autophagy induction.

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来源期刊
Molecular & Cellular Proteomics
Molecular & Cellular Proteomics 生物-生化研究方法
CiteScore
11.50
自引率
4.30%
发文量
131
审稿时长
84 days
期刊介绍: The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action. The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data. Scope: -Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights -Novel experimental and computational technologies -Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes -Pathway and network analyses of signaling that focus on the roles of post-translational modifications -Studies of proteome dynamics and quality controls, and their roles in disease -Studies of evolutionary processes effecting proteome dynamics, quality and regulation -Chemical proteomics, including mechanisms of drug action -Proteomics of the immune system and antigen presentation/recognition -Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease -Clinical and translational studies of human diseases -Metabolomics to understand functional connections between genes, proteins and phenotypes
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