1. Rethinking temperature effects on leaf growth, gene expression and metabolism: Diel variation matters
- Author
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Shiva Ghiasi, Lukas Kronenberg, Roland A. Werner, Melanie Binggeli, Nina Buchmann, Michael E. Ruckle, Achim Walter, Bruno Studer, Flavian Tschurr, Lukas Roth, Steven Yates, and Michael Friedli
- Subjects
0106 biological sciences ,0301 basic medicine ,Vapor Pressure ,Physiology ,Plant Science ,Carbohydrate metabolism ,01 natural sciences ,fluctuating temperature ,03 medical and health sciences ,Animal science ,Gene Expression Regulation, Plant ,Circadian Clocks ,Plant Cells ,Gene expression ,Circadian rhythm ,Diel vertical migration ,controlled conditions ,Plant Proteins ,2. Zero hunger ,circadian ,natural environment ,storage carbohydrates ,Carbon Isotopes ,Chemistry ,fungi ,Temperature ,Starch ,Original Articles ,Metabolism ,Plant Leaves ,030104 developmental biology ,13. Climate action ,Isotopes of carbon ,Carbohydrate Metabolism ,High temporal resolution ,Original Article ,Soybeans ,Gradual increase ,Sugars ,Switzerland ,010606 plant biology & botany - Abstract
Plants have evolved to grow under prominently fluctuating environmental conditions. In experiments under controlled conditions, temperature is often set to artificial, binary regimes with constant values at day and at night. This study investigated how such a diel (24 hr) temperature regime affects leaf growth, carbohydrate metabolism and gene expression, compared to a temperature regime with a field‐like gradual increase and decline throughout 24 hr. Soybean (Glycine max) was grown under two contrasting diel temperature treatments. Leaf growth was measured in high temporal resolution. Periodical measurements were performed of carbohydrate concentrations, carbon isotopes as well as the transcriptome by RNA sequencing. Leaf growth activity peaked at different times under the two treatments, which cannot be explained intuitively. Under field‐like temperature conditions, leaf growth followed temperature and peaked in the afternoon, whereas in the binary temperature regime, growth increased at night and decreased during daytime. Differential gene expression data suggest that a synchronization of cell division activity seems to be evoked in the binary temperature regime. Overall, the results show that the coordination of a wide range of metabolic processes is markedly affected by the diel variation of temperature, which emphasizes the importance of realistic environmental settings in controlled condition experiments., Dynamically changing temperature affects soybean leaf growth and regulatory mechanisms in non‐intuitive ways. The results may help improving knowledge transfer between experiments performed under controlled conditions and experiments performed in the field.
- Published
- 2020
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