Literature DB >> 27549366

A survey of metabolic changes in potato leaves by NMR-based metabolic profiling in relation to resistance to late blight disease under field conditions.

Satoru Tomita1, Seishi Ikeda2, Shogo Tsuda2, Nobutaka Someya3, Kenji Asano2, Jun Kikuchi4,5,6, Eisuke Chikayama4,7, Hiroshi Ono1, Yasuyo Sekiyama1,4.   

Abstract

Non-targeted nuclear magnetic resonance (NMR)-based metabolic profiling was applied to potato leaves to survey metabolic changes associated with late blight resistance under field conditions. Potato plants were grown in an experimental field, and the compound leaves with no visible symptoms were collected from 20 cultivars/lines at two sampling time points: (i) the time of initial presentation of symptoms in susceptible cultivars and (ii) 12 days before this initiation. 1 H NMR spectra of the foliar metabolites soluble in deuterium oxide- or methanol-d4 -based buffers were measured and used for multivariate analysis. Principal component analysis for six cultivars at symptom initiation showed a class separation corresponding to their levels of late blight resistance. This separation was primarily explained by higher levels of malic acid, methanol, and rutin and a lower level of sucrose in the resistant cultivars than in the susceptible ones. Partial least squares regression revealed that the levels of these metabolites were strongly associated with the disease severity measured in this study under field conditions. These associations were observed only for the leaves harvested at the symptom initiation stage, but not for those collected 12 days beforehand. Subsequently, a simple, alternative enzymatic assay for l-malic acid was used to estimate late blight resistance, as a model for applying the potential metabolic marker obtained. This study demonstrated the potential of metabolomics for field-grown plants in combination with targeted methods for quantifying marker levels, moving towards marker-assisted screening of new cultivars with durable late blight resistance.
Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.

Entities:  

Keywords:  1H; NMR; NMR-based metabolomics; Phytophthora infestans; Solanum tuberosum L; malate; potato; potato late blight; rutin

Mesh:

Substances:

Year:  2016        PMID: 27549366     DOI: 10.1002/mrc.4506

Source DB:  PubMed          Journal:  Magn Reson Chem        ISSN: 0749-1581            Impact factor:   2.447


  6 in total

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Authors:  He Tian; Sin Man Lam; Guanghou Shui
Journal:  Int J Mol Sci       Date:  2016-11-17       Impact factor: 5.923

Review 2.  Modern Technologies of Solution Nuclear Magnetic Resonance Spectroscopy for Three-dimensional Structure Determination of Proteins Open Avenues for Life Scientists.

Authors:  Toshihiko Sugiki; Naohiro Kobayashi; Toshimichi Fujiwara
Journal:  Comput Struct Biotechnol J       Date:  2017-04-13       Impact factor: 7.271

3.  NMR-Based Metabolic Profiling of Field-Grown Leaves from Sugar Beet Plants Harbouring Different Levels of Resistance to Cercospora Leaf Spot Disease.

Authors:  Yasuyo Sekiyama; Kazuyuki Okazaki; Jun Kikuchi; Seishi Ikeda
Journal:  Metabolites       Date:  2017-01-26

Review 4.  A Phytochemical Perspective on Plant Defense Against Nematodes.

Authors:  Willem Desmedt; Sven Mangelinckx; Tina Kyndt; Bartel Vanholme
Journal:  Front Plant Sci       Date:  2020-11-13       Impact factor: 5.753

5.  1H-NMR and LC-MS Based Metabolomics Analysis of Potato (Solanum tuberosum L.) Cultivars Irrigated with Fly Ash Treated Acid Mine Drainage.

Authors:  Maropeng V Raletsena; Samukelisiwe Mdlalose; Olusola S Bodede; Hailemariam A Assress; Adugna A Woldesemayat; David M Modise
Journal:  Molecules       Date:  2022-02-10       Impact factor: 4.411

Review 6.  The exposome paradigm to predict environmental health in terms of systemic homeostasis and resource balance based on NMR data science.

Authors:  Jun Kikuchi; Shunji Yamada
Journal:  RSC Adv       Date:  2021-09-13       Impact factor: 4.036

  6 in total

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