| Literature DB >> 27549366 |
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.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