Nitrate and ammonium, the yin and yang of nitrogen uptake: a time-course transcriptomic study in rice.

OsEIL1 OsRLI1 co-expression network nitrogen rice transcriptome

Journal

Frontiers in plant science
ISSN: 1664-462X
Titre abrégé: Front Plant Sci
Pays: Switzerland
ID NLM: 101568200

Informations de publication

Date de publication:
2024
Historique:
received: 22 11 2023
accepted: 29 07 2024
medline: 9 9 2024
pubmed: 9 9 2024
entrez: 9 9 2024
Statut: epublish

Résumé

Nitrogen is an essential nutrient for plants and a major determinant of plant growth and crop yield. Plants acquire nitrogen mainly in the form of nitrate and ammonium. Both nitrogen sources affect plant responses and signaling pathways in a different way, but these signaling pathways interact, complicating the study of nitrogen responses. Extensive transcriptome analyses and the construction of gene regulatory networks, mainly in response to nitrate, have significantly advanced our understanding of nitrogen signaling and responses in model plants and crops. In this study, we aimed to generate a more comprehensive gene regulatory network for the major crop, rice, by incorporating the interactions between ammonium and nitrate. To achieve this, we assessed transcriptome changes in rice roots and shoots over an extensive time course under single or combined applications of the two nitrogen sources. This dataset enabled us to construct a holistic co-expression network and identify potential key regulators of nitrogen responses. Next to known transcription factors, we identified multiple new candidates, including the transcription factors OsRLI and OsEIL1, which we demonstrated to induce the primary nitrate-responsive genes

Identifiants

pubmed: 39246813
doi: 10.3389/fpls.2024.1343073
pmc: PMC11377263
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1343073

Informations de copyright

Copyright © 2024 Pélissier, Parizot, Jia, De Knijf, Goossens, Gantet, Champion, Audenaert, Xuan, Beeckman and Motte.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Pierre-Mathieu Pélissier (PM)

Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
VIB Center for Plant Systems Biology, Ghent, Belgium.

Boris Parizot (B)

Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
VIB Center for Plant Systems Biology, Ghent, Belgium.

Letian Jia (L)

State Key Laboratory of Crop Genetics & Germplasm Enhancement and MOA Key Laboratory of Plant Nutrition and Fertilization in Lower Middle Reaches of the Yangtze River, Nanjing Agricultural University, Nanjing, China.

Alexa De Knijf (A)

Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
VIB Center for Plant Systems Biology, Ghent, Belgium.

Vera Goossens (V)

Center for Bioassay Development and Screening (C-BIOS), Ghent University, Ghent, Belgium.
VIB Screening Core, Ghent, Belgium.

Pascal Gantet (P)

UMR DIADE, Université de Montpellier, IRD, CIRAD, Montpellier, France.

Antony Champion (A)

UMR DIADE, Université de Montpellier, IRD, CIRAD, Montpellier, France.

Dominique Audenaert (D)

Center for Bioassay Development and Screening (C-BIOS), Ghent University, Ghent, Belgium.
VIB Screening Core, Ghent, Belgium.

Wei Xuan (W)

State Key Laboratory of Crop Genetics & Germplasm Enhancement and MOA Key Laboratory of Plant Nutrition and Fertilization in Lower Middle Reaches of the Yangtze River, Nanjing Agricultural University, Nanjing, China.

Tom Beeckman (T)

Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
VIB Center for Plant Systems Biology, Ghent, Belgium.

Hans Motte (H)

Department of Plant Biotechnology and Bioinformatics, Ghent University, Ghent, Belgium.
VIB Center for Plant Systems Biology, Ghent, Belgium.

Classifications MeSH