Environmental control of rice flowering time.


Journal

Plant communications
ISSN: 2590-3462
Titre abrégé: Plant Commun
Pays: China
ID NLM: 101769147

Informations de publication

Date de publication:
11 09 2023
Historique:
received: 02 10 2022
revised: 14 04 2023
accepted: 30 04 2023
medline: 14 9 2023
pubmed: 6 5 2023
entrez: 6 5 2023
Statut: ppublish

Résumé

Correct measurement of environmental parameters is fundamental for plant fitness and survival, as well as for timing developmental transitions, including the switch from vegetative to reproductive growth. Important parameters that affect flowering time include day length (photoperiod) and temperature. Their response pathways have been best described in Arabidopsis, which currently offers a detailed conceptual framework and serves as a comparison for other species. Rice, the focus of this review, also possesses a photoperiodic flowering pathway, but 150 million years of divergent evolution in very different environments have diversified its molecular architecture. The ambient temperature perception pathway is strongly intertwined with the photoperiod pathway and essentially converges on the same genes to modify flowering time. When observing network topologies, it is evident that the rice flowering network is centered on EARLY HEADING DATE 1, a rice-specific transcriptional regulator. Here, we summarize the most important features of the rice photoperiodic flowering network, with an emphasis on its uniqueness, and discuss its connections with hormonal, temperature perception, and stress pathways.

Identifiants

pubmed: 37147799
pii: S2590-3462(23)00121-9
doi: 10.1016/j.xplc.2023.100610
pmc: PMC10504588
pii:
doi:

Substances chimiques

Plant Proteins 0

Types de publication

Journal Article Review Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

100610

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.

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Auteurs

Giulio Vicentini (G)

Department of Agricultural and Environmental Sciences, University of Milan, via Celoria 2, 20133 Milan, Italy.

Marco Biancucci (M)

Department of Biosciences, University of Milan, via Celoria 26, 20133 Milan, Italy.

Lorenzo Mineri (L)

Department of Biosciences, University of Milan, via Celoria 26, 20133 Milan, Italy.

Daniele Chirivì (D)

Department of Biosciences, University of Milan, via Celoria 26, 20133 Milan, Italy.

Francesca Giaume (F)

Department of Agricultural and Environmental Sciences, University of Milan, via Celoria 2, 20133 Milan, Italy.

Yiling Miao (Y)

Graduate School of Life Sciences, Tohoku University, Sendai, Japan.

Junko Kyozuka (J)

Graduate School of Life Sciences, Tohoku University, Sendai, Japan.

Vittoria Brambilla (V)

Department of Agricultural and Environmental Sciences, University of Milan, via Celoria 2, 20133 Milan, Italy.

Camilla Betti (C)

Department of Biosciences, University of Milan, via Celoria 26, 20133 Milan, Italy.

Fabio Fornara (F)

Department of Biosciences, University of Milan, via Celoria 26, 20133 Milan, Italy. Electronic address: fabio.fornara@unimi.it.

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Classifications MeSH