4.7 Review

Proteolytic Activation of Plant Membrane-Bound Transcription Factors

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FRONTIERS IN PLANT SCIENCE
卷 13, 期 -, 页码 -

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FRONTIERS MEDIA SA
DOI: 10.3389/fpls.2022.927746

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membrane-bound transcription factors; proteolytic activation; regulated intramembrane proteolysis; intracellular signaling; stress response; Arabidopsis thaliana

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This review focuses on the proteolytic activation mechanisms of membrane-bound or membrane-tethered transcription factors (MB-TFs) in plants, particularly regulated intramembrane proteolysis (RIP). By mapping protease recognition sequences and structural features, proteolytically activated MB-TFs are predicted. The functions of MB-TFs in plant responses to environmental stresses and plant development are considered.
Due to the presence of a transmembrane domain, the subcellular mobility plan of membrane-bound or membrane-tethered transcription factors (MB-TFs) differs from that of their cytosolic counterparts. The MB-TFs are mostly locked in (sub)cellular membranes, until they are released by a proteolytic cleavage event or when the transmembrane domain (TMD) is omitted from the transcript due to alternative splicing. Here, we review the current knowledge on the proteolytic activation mechanisms of MB-TFs in plants, with a particular focus on regulated intramembrane proteolysis (RIP), and discuss the analogy with the proteolytic cleavage of MB-TFs in animal systems. We present a comprehensive inventory of all known and predicted MB-TFs in the model plant Arabidopsis thaliana and examine their experimentally determined or anticipated subcellular localizations and membrane topologies. We predict proteolytically activated MB-TFs by the mapping of protease recognition sequences and structural features that facilitate RIP in and around the TMD, based on data from metazoan intramembrane proteases. Finally, the MB-TF functions in plant responses to environmental stresses and in plant development are considered and novel functions for still uncharacterized MB-TFs are forecasted by means of a regulatory network-based approach.

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