Abstract
NMR and chromatography methods combined with mass spectrometry are the most important analytical techniques employed for plant metabolomics screening. Metabolomic analysis integrated to transcriptome screening add an important extra dimension to the information flow from DNA to RNA to protein. The most useful NMR experiment in metabolomics analysis is the proton spectra due the high receptivity of 1H and important structural information, through proton–proton scalar coupling. Routinely, databases have been used in identification of primary metabolites, however, there is currently no comparable data for identification of secondary metabolites, mainly, due to signal overlap in normal 1H NMR spectra and natural variation of plant. Related to spectra overlap, alternatively, better resolution can be find using 1H pure shift and 2D NMR pulse sequence in complex samples due to spreading the resonances in a second dimension. Thus, in data brief we provide a catalogue of metabolites and expression levels of genes identified in soy leaves and roots under flooding stress.
Highlights
Identification of primary and secondary metabolites and transcriptome profile of soybean tissues during different stages of hypoxia
Coutinho et al / Data in Brief 21 (2018) 1089–1100 metabolites and expression levels of genes identified in soy leaves and roots under flooding stress. & 2018 The Authors
Data source location Data accessibility Related research article chemistry, biology, agronomy Metabolomic screening Table, figure NMR and RNAseq Analyzed 1D and 2D NMR experiments were used for the metabolite annotation
Summary
NMR analysis The spectra were acquired at a temperature of 298 K on a Avance 600 spectrometer operating at. The 1H pure shift experiment was performed by reset_psyche_1d.pr NMR pulse sequence for homonuclear broadband decoupling [3,4]. The spectra windows in F1 and F2 were set to 80 and 5 kHz, respectively. The 1H 1D NMR experiments were performed according to related research article [1]. Mass spectra were acquired in negative and positive modes over m/z range of 100–1000, in separated runs. The data analyses were performed using Data Analysis software. The gradient of elution was performed with water/0.1% formic acid (A) and acetonitrile/0.1% formic acid (B) under the following conditions: 0 min, 5% B; 30 min, 40%B; 35 min, 100%B; 40 min, 100%B. Flow rate at 1.0 mL/min and injection volume of 1 mL
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
