Short-term transcriptomic analysis at organ scale reveals candidate genes involved in low N responses in NUE-contrasting tomato genotypes.

RNAseq Solanum lycopersicum L. abiotic stress nitrogen use efficiency weighted gene co-expression network analysis (WGCNA)

Journal

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

Informations de publication

Date de publication:
2023
Historique:
received: 16 12 2022
accepted: 13 02 2023
entrez: 20 3 2023
pubmed: 21 3 2023
medline: 21 3 2023
Statut: epublish

Résumé

Understanding the complex regulatory network underlying plant nitrogen (N) responses associated with high Nitrogen Use Efficiency (NUE) is one of the main challenges for sustainable cropping systems. Nitrate (NO Here, we compared, for the first time, the spatio-temporal transcriptome changes in both root and shoot of two NUE contrasting tomato genotypes, Regina Ostuni (high-NUE) and UC82 (low-NUE), in response to short-term (within 24 h) low (LN) and high (HN) NO Using time-series transcriptome data (0, 8, and 24 h), we identified 395 and 482 N-responsive genes differentially expressed (DEGs) between RO and UC82 in shoot and root, respectively. Protein kinase signaling plant hormone signal transduction, and phenylpropanoid biosynthesis were the main enriched metabolic pathways in shoot and root, respectively, and were upregulated in RO compared to UC82. Interestingly, several N transporters belonging to NRT and NPF families, such as Our results revealed potential candidate genes that independently and/or concurrently may regulate short-term low-N response, suggesting a key role played by cytokinin and ROS balancing in early LN regulation mechanisms adopted by the N-use efficient genotype RO.

Sections du résumé

Background UNASSIGNED
Understanding the complex regulatory network underlying plant nitrogen (N) responses associated with high Nitrogen Use Efficiency (NUE) is one of the main challenges for sustainable cropping systems. Nitrate (NO
Methods UNASSIGNED
Here, we compared, for the first time, the spatio-temporal transcriptome changes in both root and shoot of two NUE contrasting tomato genotypes, Regina Ostuni (high-NUE) and UC82 (low-NUE), in response to short-term (within 24 h) low (LN) and high (HN) NO
Results UNASSIGNED
Using time-series transcriptome data (0, 8, and 24 h), we identified 395 and 482 N-responsive genes differentially expressed (DEGs) between RO and UC82 in shoot and root, respectively. Protein kinase signaling plant hormone signal transduction, and phenylpropanoid biosynthesis were the main enriched metabolic pathways in shoot and root, respectively, and were upregulated in RO compared to UC82. Interestingly, several N transporters belonging to NRT and NPF families, such as
Discussion UNASSIGNED
Our results revealed potential candidate genes that independently and/or concurrently may regulate short-term low-N response, suggesting a key role played by cytokinin and ROS balancing in early LN regulation mechanisms adopted by the N-use efficient genotype RO.

Identifiants

pubmed: 36938018
doi: 10.3389/fpls.2023.1125378
pmc: PMC10020590
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1125378

Informations de copyright

Copyright © 2023 Sunseri, Aci, Mauceri, Caldiero, Puccio, Mercati and Abenavoli.

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.

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Auteurs

Francesco Sunseri (F)

Dipartimento Agraria, Università Mediterranea di Reggio Calabria, Reggio Calabria, Italy.
National Research Council of Italy, Institute of Biosciences and Bioresources (CNR-IBBR), Palermo, Italy.

Meriem Miyassa Aci (MM)

Dipartimento Agraria, Università Mediterranea di Reggio Calabria, Reggio Calabria, Italy.

Antonio Mauceri (A)

Dipartimento Agraria, Università Mediterranea di Reggio Calabria, Reggio Calabria, Italy.

Ciro Caldiero (C)

Dipartimento Agraria, Università Mediterranea di Reggio Calabria, Reggio Calabria, Italy.

Guglielmo Puccio (G)

National Research Council of Italy, Institute of Biosciences and Bioresources (CNR-IBBR), Palermo, Italy.
Dipartimento di Scienze Agrarie, Alimentari e Forestali, Università degli Studi di Palermo, Viale delle Scienze, Palermo, Italy.

Francesco Mercati (F)

National Research Council of Italy, Institute of Biosciences and Bioresources (CNR-IBBR), Palermo, Italy.

Maria Rosa Abenavoli (MR)

Dipartimento Agraria, Università Mediterranea di Reggio Calabria, Reggio Calabria, Italy.

Classifications MeSH