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Integrating High‐Resolution and Solid‐State Magic Angle Spinning NMR Spectroscopy and a Transcriptomic Analysis of Soybean Tissues in Response to Water Deficiency
Author(s) -
Coutinho Isabel D.,
Moraes Tiago Bueno,
MertzHenning Liliane Marcia,
Nepomuceno Alexandre Lima,
Giordani Willian,
MarcolinoGomes Juliana,
Santagneli Silvia,
Colnago Luiz Alberto
Publication year - 2017
Publication title -
phytochemical analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.574
H-Index - 72
eISSN - 1099-1565
pISSN - 0958-0344
DOI - 10.1002/pca.2702
Subject(s) - chemistry , magic angle spinning , metabolite , solid state nuclear magnetic resonance , spinning , nuclear magnetic resonance spectroscopy , high resolution , spectroscopy , amino acid , chromatography , analytical chemistry (journal) , biochemistry , nuclear magnetic resonance , stereochemistry , polymer chemistry , remote sensing , geology , physics , quantum mechanics
Abstract Introduction Solid‐state NMR (SSNMR) spectroscopy methods provide chemical environment and ultrastructural details that are not easily accessible by other non‐destructive, high‐resolution spectral techniques. High‐resolution magic angle spinning (HR‐MAS) has been widely used to obtain the metabolic profile of a heterogeneous sample, combining the resolution enhancement provided by MAS in SSNMR with the shimming and locking procedures in liquid‐state NMR. Objective In this work, we explored the feasibility of using the HR‐MAS and SSNMR techniques to identify metabolic changes in soybean leaves subjected to water‐deficient conditions. Methodology Control and water‐deficient soybean leaves were analysed using one‐dimensional (1D) HR‐MAS and SSNMR. Total RNA was extracted from the leaves for the transcriptomic analysis. Results The 1 H HR‐MAS and CP‐MAS 13 C{ 1 H} spectra of soybean leaves grown with and without water deficiency stress revealed striking differences in metabolites. A total of 30 metabolites were identified, and the impact of water deficiency on the metabolite profile of soybean leaves was to induce amino acid synthesis. High expression levels of genes required for amino acid biosynthesis were highly correlated with the compounds identified by 1 H HR‐MAS. Conclusions The integration of the 1 H HR‐MAS and SSNMR spectra with the transcriptomic data provided a complete picture of the major changes in the metabolic profile of soybeans in response to water deficiency. Copyright © 2017 John Wiley & Sons, Ltd.

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