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. 2022 Feb 2;4(1):diac001.
doi: 10.1093/insilicoplants/diac001. eCollection 2022.

Modelling of plant circadian clock for characterizing hypocotyl growth under different light quality conditions

Affiliations

Modelling of plant circadian clock for characterizing hypocotyl growth under different light quality conditions

Miao Lin Pay et al. In Silico Plants. .

Abstract

To meet the ever-increasing global food demand, the food production rate needs to be increased significantly in the near future. Speed breeding is considered as a promising agricultural technology solution to achieve the zero-hunger vision as specified in the United Nations Sustainable Development Goal 2. In speed breeding, the photoperiod of the artificial light has been manipulated to enhance crop productivity. In particular, regulating the photoperiod of different light qualities rather than solely white light can further improve speed breading. However, identifying the optimal light quality and the associated photoperiod simultaneously remains a challenging open problem due to complex interactions between multiple photoreceptors and proteins controlling plant growth. To tackle this, we develop a first comprehensive model describing the profound effect of multiple light qualities with different photoperiods on plant growth (i.e. hypocotyl growth). The model predicts that hypocotyls elongated more under red light compared to both red and blue light. Drawing similar findings from previous related studies, we propose that this might result from the competitive binding of red and blue light receptors, primarily Phytochrome B (phyB) and Cryptochrome 1 (cry1) for the core photomorphogenic regulator, CONSTITUTIVE PHOTOMORPHOGENIC 1 (COP1). This prediction is validated through an experimental study on Arabidopsis thaliana. Our work proposes a potential molecular mechanism underlying plant growth under different light qualities and ultimately suggests an optimal breeding protocol that takes into account light quality.

Keywords: Arabidopsis thaliana; competitive binding; hypocotyl growth; light qualities; photoperiodic growth; plant circadian system.

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Figures

Figure 1.
Figure 1.
(A) Overview of the model developed in this work. (B) Competitive binding between COP1 and photoreceptors.
Figure 2.
Figure 2.
Comparison between experimental (left column) and simulated (right column) PRCs for Tests I–III. (A and B) Test I: Red Pulse; (C and D) Test II: Add Red; (E and F) Test III: Dark Pulse. The experimental PRCs were adapted from Ohara et al. (2015a).
Figure 3.
Figure 3.
Comparison between experimental (left column) and simulated (right column) PRCs for Tests IV–VI. (A and B) Test IV: Blue Pulse; (C and D) Test V: Turn Blue; (E and F) Test VI: Add Blue. The experimental PRCs were adapted from Ohara et al. (2015a).
Figure 4.
Figure 4.
(A) Simulated hypocotyl length. (B) Hypocotyl of Arabidopsis WT Col-4 for different light quality conditions and photoperiods after 10 days. (C) Average measurement of 10 hypocotyl length with error bars denoting standard deviation and asterisk denoting statistical test. (D) Simulated hypocotyl length with min–max scaling technique.

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