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

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 G...

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Autores principales: Pay, Miao Lin, Kim, Dae Wook, Somers, David E, Kim, Jae Kyoung, Foo, Mathias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963510/
https://www.ncbi.nlm.nih.gov/pubmed/35369361
http://dx.doi.org/10.1093/insilicoplants/diac001
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author Pay, Miao Lin
Kim, Dae Wook
Somers, David E
Kim, Jae Kyoung
Foo, Mathias
author_facet Pay, Miao Lin
Kim, Dae Wook
Somers, David E
Kim, Jae Kyoung
Foo, Mathias
author_sort Pay, Miao Lin
collection PubMed
description 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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spelling pubmed-89635102022-03-30 Modelling of plant circadian clock for characterizing hypocotyl growth under different light quality conditions Pay, Miao Lin Kim, Dae Wook Somers, David E Kim, Jae Kyoung Foo, Mathias In Silico Plants Original Research 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. Oxford University Press 2022-02-02 /pmc/articles/PMC8963510/ /pubmed/35369361 http://dx.doi.org/10.1093/insilicoplants/diac001 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the Annals of Botany Company. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Pay, Miao Lin
Kim, Dae Wook
Somers, David E
Kim, Jae Kyoung
Foo, Mathias
Modelling of plant circadian clock for characterizing hypocotyl growth under different light quality conditions
title Modelling of plant circadian clock for characterizing hypocotyl growth under different light quality conditions
title_full Modelling of plant circadian clock for characterizing hypocotyl growth under different light quality conditions
title_fullStr Modelling of plant circadian clock for characterizing hypocotyl growth under different light quality conditions
title_full_unstemmed Modelling of plant circadian clock for characterizing hypocotyl growth under different light quality conditions
title_short Modelling of plant circadian clock for characterizing hypocotyl growth under different light quality conditions
title_sort modelling of plant circadian clock for characterizing hypocotyl growth under different light quality conditions
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963510/
https://www.ncbi.nlm.nih.gov/pubmed/35369361
http://dx.doi.org/10.1093/insilicoplants/diac001
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