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

IF 2.6 Q1 AGRONOMY in silico Plants Pub Date : 2022-02-02 DOI:10.1093/insilicoplants/diac001
Miao Lin Pay, Dae Wook Kim, D. E. Somers, Jae Kyoung Kim, Mathias Foo
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引用次数: 7

Abstract

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.
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不同光照条件下表征下胚轴生长的植物生物钟模型
摘要为了满足日益增长的全球粮食需求,在不久的将来需要大幅提高粮食生产率。快速繁殖被认为是实现联合国可持续发展目标2规定的零饥饿愿景的一种有前景的农业技术解决方案。在快速育种中,人工光的光周期被操纵以提高作物生产力。特别是,调节不同光照质量的光周期,而不仅仅是白光,可以进一步提高面包的速度。然而,由于多种光感受器和控制植物生长的蛋白质之间的复杂相互作用,同时确定最佳光照质量和相关的光周期仍然是一个具有挑战性的开放问题。为了解决这个问题,我们开发了第一个综合模型,描述了不同光周期的多种光照质量对植物生长(即下胚轴生长)的深刻影响。该模型预测,与红光和蓝光相比,下胚轴在红光下伸长得更多。根据先前相关研究的类似发现,我们认为这可能是由红光和蓝光受体的竞争性结合引起的,主要是核心光形态调节因子组成型光形态原1(COP1)的光敏色素B(phyB)和隐色素1(cry1)。这一预测通过对拟南芥的实验研究得到了验证。我们的工作提出了不同光照质量下植物生长的潜在分子机制,并最终提出了考虑光照质量的最佳育种方案。
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来源期刊
in silico Plants
in silico Plants Agricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
4.70
自引率
9.70%
发文量
21
审稿时长
10 weeks
期刊最新文献
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