Summary of Study ST003399
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 PR002105. The data can be accessed directly via it's Project DOI: 10.21228/M8HV52 This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
| Study ID | ST003399 |
| Study Title | Chemical Biology Meets Metabolomics: The Response of Barley Seedlings to 3,5-Dichloroanthranilic Acid, a Resistance Inducer |
| Study Type | Plant metabolomics |
| Study Summary | Advances in combinatorial synthesis and high-throughput screening methods have led to renewed interest in synthetic plant immune activators as well as priming agents. 3,5-Dichloroanthranilic acid (3,5-DCAA) is a derivative of anthranilic acid that have shown potency in activating defence mechanisms in Arabidopsis and barley plants. Chemical biology which is the interface of chemistry and biology can make use of metabolomics approaches and tools to better understand molecular mechanisms operating in complex biological systems. Aim: Here we report on the untargeted metabolomics profiling of barley seedlings treated with 3,5-DCAA to gain deeper insights into the mechanism of action of this resistance inducer. Methodology: Hydro-methanolic extracts from different time periods (12, 24 and 36 h post-treatment) were analysed on ultra-high performance liquid chromatography hyphenated with a high-resolution mass spectrometer. Both unsupervised and supervised chemometric methods were used to reveal hidden patterns and highlight metabolite variables associated with the treatment. Results: Based on the metabolites identified, both the phenylpropanoid and octadecanoid pathways appear to be main route activated by 3,5-DCAA. Different classes of responsive metabolites were annotated with favonoids, more especially flavones, the most dominant. Given the limited understanding of this inducer, this study offers a metabolomics analysis of the response triggered by its foliar application in barley. This additional insight could help make informed decision for the development of more effective strategies for crop protection and improvement, ultimately contributing to agricultural sustainability and resilience. |
| Institute | University of Johannesburg |
| Department | Biochemistry |
| Laboratory | Plant metabolomics |
| Last Name | Claude Yasmine Hamany Djande |
| First Name | Claude Yasmine |
| Address | 81A Fourth Avenue Westdene |
| claudehamany@gmail.com | |
| Phone | 0814415123 |
| Submit Date | 2024-07-05 |
| Num Groups | 4 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | raw(Waters) |
| Analysis Type Detail | LC-MS |
| Release Date | 2024-09-03 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
| Analysis ID | AN005579 |
|---|---|
| Analysis type | MS |
| Chromatography type | Reversed phase |
| Chromatography system | Waters Acquity |
| Column | Waters HSS T3 C18 (150 x 2.1mm x 1.8um) |
| MS Type | ESI |
| MS instrument type | QTOF |
| MS instrument name | Waters SYNAPT G1 QTOF |
| Ion Mode | NEGATIVE |
| Units | m/z_rt |
MS:
| MS ID: | MS005304 |
| Analysis ID: | AN005579 |
| Instrument Name: | Waters SYNAPT G1 QTOF |
| Instrument Type: | QTOF |
| MS Type: | ESI |
| MS Comments: | The high resolution, accurate mass TOF-MS analyser was used in a V-optics mode, with the centroid spectral data acquired in negative electrospray ionisation (ESI) modes. Operating parameters included masses ranging from 50 to 1200 Da and a scan time of 0.1 s; the capillary voltage set at 2.5 kV; sampling and extraction cone voltages at 40 V and 4.0 V, respectively. The desolvation and cone gas flows were set at 550 L h−1 and 50 L h−1, respectively, with nitrogen used as the nebulisation gas at a flow rate of 700 L h−1. A desolvation temperature of 450 °C and a fixed source temperature of 120 °C were used. Leucine encephalin ([M-H]− = 554.2615 and [M + H]+ = 556.2766) at a concentration of 50 pg mL−1, served as the reference mass calibrant, and was sampled every 15 sec to generate an average intensity of 350 counts per scan. This reference helped the processing software (MassLynx XSTM 4.1, Waters Corporation, Milford, MA, USA) to perform automatic correction of slight centroid mass deviations observed in the samples, ensuring precise mass measurements with typical mass accuracy ranging from 1 to 3 mDa. Both intact and fragmented data were aquired using an MSE method with collision energies ranging from 10 to 40 eV. The fragmentation data were employed for subsequent metabolite structural elucidation and annotation. |
| Ion Mode: | NEGATIVE |
