Regulation of adaptive growth decisions via phosphorylation of the TRAPPII complex in Arabidopsis

• Published in: The Journal of cell biology Vol. 223; no. 5; p. 1
• Main Authors: Wiese, Christian, Abele, Miriam, Al, Benjamin, Altmann, Melina, Steiner, Alexander, Kalbfuß, Nils, Strohmayr, Alexander, Ravikumar, Raksha, Park, Chan Ho, Brunschweiger, Barbara, Meng, Chen, Facher, Eva, Ehrhardt, David W, Falter-Braun, Pascal, Wang, Zhi-Yong, Ludwig, Christina, Assaad, Farhah F
• Format: Journal Article
• Language: English
• Published: United States Rockefeller University Press 06-05-2024
• Subjects: Arabidopsis - metabolism; Arabidopsis Proteins - genetics; Arabidopsis Proteins - metabolism; Carrier Proteins - metabolism; Cell Signaling; Decisions; Development; Glycogen Synthase Kinase 3 - metabolism; Golgi apparatus; Kinases; Phosphorylation; Plant Biology; Protein Transport; Structure-function relationships; Trafficking; trans-Golgi Network - metabolism
• ISSN: 0021-9525; 1540-8140; 1540-8140
• DOI: 10.1083/jcb.202311125

Plants often adapt to adverse or stress conditions via differential growth. The trans-Golgi network (TGN) has been implicated in stress responses, but it is not clear in what capacity it mediates adaptive growth decisions. In this study, we assess the role of the TGN in stress responses by exploring the previously identified interactome of the Transport Protein Particle II (TRAPPII) complex required for TGN structure and function. We identified physical and genetic interactions between AtTRAPPII and shaggy-like kinases (GSK3/AtSKs) and provided in vitro and in vivo evidence that the TRAPPII phosphostatus mediates adaptive responses to abiotic cues. AtSKs are multifunctional kinases that integrate a broad range of signals. Similarly, the AtTRAPPII interactome is vast and considerably enriched in signaling components. An AtSK-TRAPPII interaction would integrate all levels of cellular organization and instruct the TGN, a central and highly discriminate cellular hub, as to how to mobilize and allocate resources to optimize growth and survival under limiting or adverse conditions.