Summary of Study ST001056

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR000709. The data can be accessed directly via it's Project DOI: 10.21228/M81M4X This work is supported by NIH grant, U2C- DK119886.

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Study IDST001056
Study TitleEvaluation of the short-term effects of the allelochemical umbelliferone on Triticum durum L. metabolism through GC-MS based untargeted metabolomics
Study SummaryAllelopathy is a plant defense mechanism by which they protect themselves from competitive species using specialized biochemicals in the form of secretion or volatiles released to the environment. Though, umbelliferone is a well-known allelochemical, its mechanism of action in a short-term treatment is far from established. We used ≈ 10–days old wheat seedlings treated with104 µM umbelliferone over a time course experiment covering 6 times points, i.e., 0h, 6h, 12h, 24h, 48h, and 96h and compared the metabolomic changes to control (mock-treated) plants. Using gas chromatography mass-spectrometry (GC-MS) based metabolomics efforts, we collectively obtained quantitative data on 177 metabolites that were derivatized (either derivatized singly or multiple times) or not representing 139 non-redundant (unique) metabolites. Out of these 139 metabolites, 118 were associated with a unique HMDB identifier, while 113 were associated with a KEGG identifier. Relative quantification of these metabolites across the time-course of umbelliferone treatment, revealed 22 compounds (sugars, fatty acids, secondary metabolites, organic acids, and amino acids) that changed significantly (repeated measures ANOVA, P-value < 0.05) with time. Using multivariate partial least squares discriminant analysis (PLS-DA) we showed the grouping of samples based on time-course across the control and umbelliferone treated plants, whereas the metabolite-metabolite Pearson correlation revealed tightly formed clusters of umbelliferone-derived metabolites, fatty acids, amino acids, and carbohydrates. Also, time-course of umbelliferone treatment revealed, that phospho-L-serine, maltose, and dehydroquinic acid were the top three metabolites showing highest importance in discrimination among the time-points. The above indicate a system-wide changes induced by umbelliferone, through dysregulation of primary as well as specialized metabolism.
Institute
Università Mediterranea di Reggio Calabria
DepartmentDipartimento AGRARIA
Last NameAraniti
First NameFabrizio
AddressDepartment AGRARIA, University Mediterranea of Reggio Calabria, Località Feo di Vito, SNC I-89124, Reggio Calabria RC, Italy
Emailfabrizio.araniti@unirc.it
Phone+39-09651694283
Submit Date2018-09-12
Num Groups3
PublicationsIn process
Raw Data AvailableYes
Raw Data File Type(s)raw(Thermo)
Analysis Type DetailGC-MS
Release Date2020-01-13
Release Version1
Fabrizio Araniti Fabrizio Araniti
https://dx.doi.org/10.21228/M81M4X
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Combined analysis:

Analysis ID AN002145
Analysis type MS
Chromatography type GC
Chromatography system Trace GC 1310, Thermo Fisher Scientific
Column TG-5MS
MS Type EI
MS instrument type GC-ITQ
MS instrument name ISQ LT, Thermo Fisher Scientific
Ion Mode POSITIVE
Units Relative Abundance

MS:

MS ID:MS001997
Analysis ID:AN002145
Instrument Name:ISQ LT, Thermo Fisher Scientific
Instrument Type:GC-ITQ
MS Type:EI
MS Comments:Mass spectra were recorded in electronic impact (EI) mode at 70 eV, scanning at 40-600 m/z range, scan time 0.2 sec. Mass spectrometric solvent delay was settled as 9 min.
Ion Mode:POSITIVE
Fragmentation Method:EI-MS
Helium Flow:1 ml/min
Ion Source Temperature:260
Ionization Energy:70 eV
Mass Accuracy:Unit Resolution
Precursor Type:Full scan
Source Temperature:260
Scan Range Moverz:40-600
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