Modelling of plant circadian clock for characterizing hypocotyl growth under different light quality conditions.
Arabidopsis thaliana
competitive binding
hypocotyl growth
light qualities
photoperiodic growth
plant circadian system
Journal
In silico plants
ISSN: 2517-5025
Titre abrégé: In Silico Plants
Pays: England
ID NLM: 101774033
Informations de publication
Date de publication:
2022
2022
Historique:
received:
30
09
2021
accepted:
13
01
2022
entrez:
4
4
2022
pubmed:
5
4
2022
medline:
5
4
2022
Statut:
epublish
Résumé
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
Identifiants
pubmed: 35369361
doi: 10.1093/insilicoplants/diac001
pii: diac001
pmc: PMC8963510
doi:
Types de publication
Journal Article
Langues
eng
Pagination
diac001Subventions
Organisme : NIGMS NIH HHS
ID : R35 GM136400
Pays : United States
Informations de copyright
© The Author(s) 2022. Published by Oxford University Press on behalf of the Annals of Botany Company.
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