Exploring Legume-Rhizobia Symbiotic Models for Waterlogging Tolerance.

hypoxia legumes nitric oxide oxygen sensing symbiosis waterlogging

Journal

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

Informations de publication

Date de publication:
2019
Historique:
received: 03 12 2018
accepted: 18 04 2019
entrez: 4 6 2019
pubmed: 4 6 2019
medline: 4 6 2019
Statut: epublish

Résumé

Unexpected and increasingly frequent extreme precipitation events result in soil flooding or waterlogging. Legumes have the capacity to establish a symbiotic relationship with endosymbiotic atmospheric dinitrogen-fixing rhizobia, thus contributing to natural nitrogen soil enrichment and reducing the need for chemical fertilization. The impact of waterlogging on nitrogen fixation and legume productivity needs to be considered for crop improvement. This review focuses on the legumes-rhizobia symbiotic models. We aim to summarize the mechanisms underlying symbiosis establishment, nodule development and functioning under waterlogging. The mechanisms of oxygen sensing of the host plant and symbiotic partner are considered in view of recent scientific advances.

Identifiants

pubmed: 31156662
doi: 10.3389/fpls.2019.00578
pmc: PMC6530402
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

578

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Auteurs

Chiara Pucciariello (C)

PlantLab, Institute of Life Sciences, Sant'Anna School of Advanced Studies, Pisa, Italy.

Alexandre Boscari (A)

Institut Sophia Agrobiotech, Centre National de la Recherche Scientifique, Institut National de la Recherche Agronomique, Université Côte d'Azur, Nice, France.

Andrea Tagliani (A)

PlantLab, Institute of Life Sciences, Sant'Anna School of Advanced Studies, Pisa, Italy.

Renaud Brouquisse (R)

Institut Sophia Agrobiotech, Centre National de la Recherche Scientifique, Institut National de la Recherche Agronomique, Université Côte d'Azur, Nice, France.

Pierdomenico Perata (P)

PlantLab, Institute of Life Sciences, Sant'Anna School of Advanced Studies, Pisa, Italy.

Classifications MeSH