Shade avoidance in the context of climate change

• Published in: Plant physiology (Bethesda) Vol. 191; no. 3; pp. 1475 - 1491
• Main Authors: Casal, Jorge J, Fankhauser, Christian
• Format: Journal Article
• Language: English
• Published: US Oxford University Press 17.03.2023
• Subjects: Arabidopsis - metabolism; Arabidopsis Proteins - genetics; Arabidopsis Proteins - metabolism; Climate Change; DNA-Binding Proteins - metabolism; Gene Expression Regulation, Plant; Light; Phytochrome - metabolism; Phytochrome B - genetics; Phytochrome B - metabolism; Topical Review; Transcription Factors - metabolism
• ISSN: 0032-0889; 1532-2548; 1532-2548
• DOI: 10.1093/plphys/kiad004

Abstract When exposed to changes in the light environment caused by neighboring vegetation, shade-avoiding plants modify their growth and/or developmental patterns to access more sunlight. In Arabidopsis (Arabidopsis thaliana), neighbor cues reduce the activity of the photosensory receptors phytochrome B (phyB) and cryptochrome 1, releasing photoreceptor repression imposed on PHYTOCHROME INTERACTING FACTORs (PIFs) and leading to transcriptional reprogramming. The phyB-PIF hub is at the core of all shade-avoidance responses, whilst other photosensory receptors and transcription factors contribute in a context-specific manner. CONSTITUTIVELY PHOTOMORPHOGENIC1 is a master regulator of this hub, indirectly stabilizing PIFs and targeting negative regulators of shade avoidance for degradation. Warm temperatures reduce the activity of phyB, which operates as a temperature sensor and further increases the activities of PIF4 and PIF7 by independent temperature sensing mechanisms. The signaling network controlling shade avoidance is not buffered against climate change; rather, it integrates information about shade, temperature, salinity, drought, and likely flooding. We, therefore, predict that climate change will exacerbate shade-induced growth responses in some regions of the planet while limiting the growth potential in others. The signaling network involved in shade avoidance responses integrates information from environmental variables such as temperature, water availability, and salinity.