Summary of Study ST002198
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 PR001401. The data can be accessed directly via it's Project DOI: 10.21228/M8MT48 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 | ST002198 |
| Study Title | Untargeted metabolomics of Pinus pinaster needles under heat and drought stress |
| Study Type | Untargeted MS-based metabolomics |
| Study Summary | Current projections for global climate change predict an increase in the intensity and frequency of heat waves and droughts. The improvement in our understanding of the mechanisms of how trees precisely can predict environmental threats and cope with these stresses benefits our natural selection or genetic improvement to the maintenance of forest sustainability. In this work, we investigate the metabolic changes in heat and drought combined stress in Pinus pinaster plantlets. Maritime pine is a coniferous tree with native populations distributed across the European Atlantic and Mediterranean basins and the north of Africa ranging from cool moist to warm dry climates. This species shows high plasticity and a contrasting adaptive capacity and resilience. This plasticity in the response to stress exposure may be associated with a differential ability to modulate their secondary metabolism. For this reason, the current study aims to investigate the gradual and synergetic metabolomic response using liquid chromatography coupled to mass spectrometry (LC-MS) based on untargeted metabolomic profiling of four stress levels. These metabolic profiles were supported by physiological and biochemical determinations. Our results showed that the metabolic profiles induced by low-stress exposition represent an adaptive conditioning mode with metabolome changes that help seedlings to cope with upcoming stress. The metabolism pathways involved in this response were mainly included in amino acid metabolism and carbohydrate metabolism leading to an enhanced accumulation of phenolics, flavonoids, and terpenoids. However, when the plantlets were exposed to higher-stress exposition, the secondary metabolites that starred the response are more complex and decorated, such as alkaloids, lignans, and glycosyloxyflavones. Those changes could help to maintain homeostasis and control the response magnitude on establishing and facilitating the plantlets’ survival. Overall, our findings provide new insights into the responsive mechanisms of the maritime pine under heat and drought stress in terms of metabolic profiles. |
| Institute | Universidad de Oviedo |
| Department | Department of Organisms and Systems Biology |
| Laboratory | Plant Physiology |
| Last Name | López Hidalgo |
| First Name | Cristina |
| Address | C/ Catedrático Rodrigo Uría s/n Oviedo 33071 |
| lopezhcristina@uniovi.es | |
| Phone | 985104774 |
| Submit Date | 2022-06-16 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | mzXML |
| Analysis Type Detail | LC-MS |
| Release Date | 2022-07-14 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
| Analysis ID | AN003597 | AN003598 |
|---|---|---|
| Analysis type | MS | MS |
| Chromatography type | Reversed phase | Reversed phase |
| Chromatography system | Thermo Dionex Ultimate 3000 | Thermo Dionex Ultimate 3000 |
| Column | Phenomenex Luna Omega Polar C18 (100 x 2.1 mm,1.7um) | Phenomenex Luna Omega Polar C18 (100 x 2.1 mm,1.7um) |
| MS Type | ESI | ESI |
| MS instrument type | QTOF | QTOF |
| MS instrument name | Bruker Impact II HD | Bruker Impact II HD |
| Ion Mode | POSITIVE | NEGATIVE |
| Units | peak area | peak area |
Chromatography:
| Chromatography ID: | CH002658 |
| Chromatography Summary: | A fifty-three-minute mobile phase gradient was employed. Gradient elution chromatography was performed starting with 100 % A to 98 % A in 1 min; hold for 9 min, gradient to 60 % A in 21 min, gradient to 45 % A in 5 min; hold for 2 min, gradient to 5 % A in 3 min; hold 5 min, return to initial conditions in 3 min and equilibrate for 5 min (total run time: 53 min). Solvent A was 100 % H2O containing 0.1 % formic acid, and solvent B was 100 % ACN containing 0.1 % formic acid. A flow rate of 0.1 mL/min was used. |
| Instrument Name: | Thermo Dionex Ultimate 3000 |
| Column Name: | Phenomenex Luna Omega Polar C18 (100 x 2.1 mm,1.7um) |
| Column Temperature: | 30 ºC |
| Flow Gradient: | Gradient elution chromatography was performed starting with 100 % A to 98 % A in 1 min; hold for 9 min, gradient to 60 % A in 21 min, gradient to 45 % A in 5 min; hold for 2 min, gradient to 5 % A in 3 min; hold 5 min, return to initial conditions in 3 min and equilibrate for 5 min (total run time: 53 min) |
| Flow Rate: | 0.1 mL/min |
| Retention Time: | 53 min |
| Sample Injection: | 5 uL |
| Solvent A: | 100% water; 0.1% formic acid |
| Solvent B: | 100% acetonitrile; 0.1% formic acid |
| Capillary Voltage: | 4.5 kV |
| Washing Buffer: | IPA and Methanol |
| Randomization Order: | True |
| Chromatography Type: | Reversed phase |
