Publication:
Medicago sativa and Medicago truncatula show contrasting root metabolic responses to drought

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Date

2021

Authors

Li, Weiqiang
Watanabe, Yasuko
Sato, Muneo
Tran, Cuong Duy
Hirai, Masami
Sawada, Yuji
Tran, Lam-Son

Director

Publisher

Frontiers Media
Acceso abierto / Sarbide irekia
Artículo / Artikulua
Versión publicada / Argitaratu den bertsioa

Project identifier

MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RYC2018-023867-I

Abstract

Drought is an environmental stressor that affects crop yield worldwide. Understandingplant physiological responses to stress conditions is needed to secure food in futureclimate conditions. In this study, we applied a combination of plant physiology andmetabolomic techniques to understand plant responses to progressive water deficitfocusing on the root system. We chose two legume plants with contrasting toleranceto drought, the widely cultivated alfalfa Medicago sativa (Ms) and the model legume Medicago truncatula (Mt) for comparative analysis. Ms taproot (tapR) and Mt fibrous root (fibR) biomass increased during drought, while a progressive decline in wáter content was observed in both species. Metabolomic analysis allowed the identificationof key metabolites in the different tissues tested. Under drought, carbohydrates, abscisic acid, and proline predominantly accumulated in leaves and tapRs, whereas flavonoids increased in fibRs in both species. Raffinose-family related metabolites accumulated during drought. Along with an accumulation of root sucrose in plants subjected to drought, both species showed a decrease in sucrose synthase (SUS) activity related to a reduction in the transcript level of SUS1, the main SUS gene. This study highlights the relevance of root carbon metabolism during drought conditions and provides evidence on the specific accumulation of metabolites throughout the root system.

Keywords

Plant roots, Drought stress, Sucrose, Sucrose synthase, Raffinose, Flavonoids, Medicago, Metabolomics

Department

Estatistika, Informatika eta Matematika / Institute for Multidisciplinary Research in Applied Biology - IMAB / Estadística, Informática y Matemáticas

Faculty/School

Degree

Doctorate program

Editor version

Funding entities

Funding for this study was provided by the Public University of Navarra and Education Department of Navarra Government (CENEDUCA3-2019). EL is a Ramón y Cajal fellow funded by the Spanish Ministry of Science and Innovation (grant RYC2018-023867-I) and the corresponding FEDER funding. AE received a Ph.D. fellowship from the Education Department of the Navarra Government. WL was supported by grants from National Key Research and Development Program of China (grants #2018YFD0100304 and #2018YFE0194000) and from National Natural Science Foundation of China (grant #31770300).

© 2021 Echeverria, Larrainzar, Li, Watanabe, Sato, Tran, Moler, Hirai, Sawada, Tran and Gonzalez. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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