Summary of Study ST004459

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 PR002816. The data can be accessed directly via it's Project DOI: 10.21228/M8NZ73 This work is supported by NIH grant, U2C- DK119886. See: https://www.metabolomicsworkbench.org/about/howtocite.php

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Study IDST004459
Study TitleUntargeted Metabolomics Reveals Tissue-Specific Metabolic Reprogramming and Adaptation Strategies in Astragalus membranaceus var. mongholicus Seedlings under Drought Stress
Study TypeUntargeted Metabolomics
Study SummaryThis study investigated the metabolic responses of Astragalus seedlings to varying degrees of drought stress using non-targeted metabolomics. Seedlings were subjected to different drought treatments and analyzed via ultra-high-performance liquid chromatography coupled with tandem mass spectrometry (UHPLC-MS/MS). A total of 1,926 metabolites were identified in positive ion mode and 1,178 in negative ion mode. Multivariate statistical analyses, including PCA and PLS-DA, revealed distinct metabolic profiles between control and drought-treated groups. Differential metabolites were identified in the SDR.vs.CKR comparison, 118 metabolites were significantly altered in positive mode (88 up-regulated, 30 down-regulated).
Institute
Yili Normal University
DepartmentCollege of Biological Science and Technology
Last NameKuerban
First NameTusong
AddressNo. 448, Jiefang West Road (formerly known as Jiefang Road), Yining City
Emailkurban910@163.com
Phone0999-8996985
Submit Date2025-11-30
Raw Data AvailableYes
Raw Data File Type(s)mzXML
Analysis Type DetailLC-MS
Release Date2026-01-06
Release Version1
Tusong Kuerban Tusong Kuerban
https://dx.doi.org/10.21228/M8NZ73
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Project:

Project ID:PR002816
Project DOI:doi: 10.21228/M8NZ73
Project Title:Deciphering the Metabolomic Landscape of Medicinal Plants in Response to Drought Stress
Project Type:Untargeted Metabolomics
Project Summary:Background: Astragalus membranaceus var. mongholicus is a high-value medicinal plant whose growth and medicinal compound accumulation are severely impacted by drought. Understanding its metabolic adaptation to water deficit is crucial for improving cultivation and quality. While physiological responses are documented, a comprehensive, untargeted metabolomic profile revealing the systemic reprogramming of metabolites across different tissues and drought intensities remains lacking. Objectives: This metabolomics study aimed to comprehensively characterize the drought-induced metabolic responses in A. mongholicus seedlings. Specifically, we sought to: 1) Profile the global metabolite changes in both aboveground and root tissues under light (LD), moderate (MD), and severe (SD) drought stress using liquid chromatography-mass spectrometry (LC-MS); 2) Identify and quantify differentially accumulated metabolites (DAMs) associated with each stress level; 3) Determine the key metabolic pathways perturbed by drought through KEGG enrichment analysis; and 4) Integrate metabolomic findings with physiological data to elucidate the functional role of metabolic changes in drought adaptation. Main Achievements: Untargeted LC-MS metabolomics identified a total of 921 DAMs (562 in positive ion mode, 359 in negative mode) in A. mongholicus seedlings under drought. The number and direction of metabolic changes exhibited clear tissue-specific and stress intensity-dependent patterns. Aboveground tissues responded primarily by down-regulating metabolites, with key up-regulations in the antioxidant metabolite glutathione and its related pathways (glutathione metabolism, cysteine and methionine metabolism) under LD. In roots, an active up-regulation of metabolites dominated, especially under SD. Pathway analysis revealed that roots reconfigured core amino acid metabolism (e.g., tryptophan, tyrosine, arginine, and proline metabolism) to potentially support energy supply and osmotic adjustment. The accumulation of osmolytes like proline and soluble sugars correlated with these metabolic pathway shifts. This study provides the first extensive metabolomic atlas of A. mongholicus under drought stress, uncovering a tissue-divergent strategy: aerial parts enhance antioxidant capacity, while roots rewire primary metabolism for resilience. These findings and the identified metabolic markers offer a valuable resource for understanding and improving drought tolerance in medicinal plants.
Institute:Yili Normal University
Department:College of Biological Science and Technology
Last Name:Kuerban
First Name:Tusong
Address:No. 448, Jiefang West Road (formerly known as Jiefang Road), Yining City
Email:kurban910@163.com
Phone:0999-8996985

Subject:

Subject ID:SU004626
Subject Type:Plant
Subject Species:Astragalus membranaceus var. mongholicus
Taxonomy ID:139259
Genotype Strain:not specified
Age Or Age Range:Seedlings, approximately 39 to 57 days post-sowing
Weight Or Weight Range:Not measured in this study
Height Or Height Range:Not measured in this study
Gender:Not applicable
Species Group:Fabaceae

Factors:

Subject type: Plant; Subject species: Astragalus membranaceus var. mongholicus (Factor headings shown in green)

mb_sample_id local_sample_id Sample source Drought_Intensity
SA527257CKA_2Aboveground Control
SA527258CKA_1Aboveground Control
SA527259CKA_3Aboveground Control
SA527260LDA_1Aboveground Light Drought
SA527261LDA_2Aboveground Light Drought
SA527262LDA_3Aboveground Light Drought
SA527263MDA_1Aboveground Moderate Drought
SA527264MDA_2Aboveground Moderate Drought
SA527265MDA_3Aboveground Moderate Drought
SA527266SDA_1Aboveground Severe Drought
SA527267SDA_2Aboveground Severe Drought
SA527268SDA_3Aboveground Severe Drought
SA527269CKR_3Root Control
SA527270CKR_1Root Control
SA527271CKR_2Root Control
SA527272LDR_1Root Light Drought
SA527273LDR_2Root Light Drought
SA527274LDR_3Root Light Drought
SA527275MDR_1Root Moderate Drought
SA527276MDR_2Root Moderate Drought
SA527277MDR_3Root Moderate Drought
SA527278SDR_1Root Severe Drought
SA527279SDR_2Root Severe Drought
SA527280SDR_3Root Severe Drought
Showing results 1 to 24 of 24

Collection:

Collection ID:CO004619
Collection Summary:This study collected tissue samples from Astragalus membranaceus var. mongholicus seedlings under four levels of drought stress. Stress treatments included Control (CK), Light Drought (LD), Moderate Drought (MD), and Severe Drought (SD), corresponding to soil water content of 80-85%, 65-70%, 50-55%, and 35-40% of saturated soil water capacity, respectively. The stress period lasted 18 days. Both aboveground and root tissues were separately collected from each treatment group, with three biological replicates per group, resulting in a total of 24 samples. All samples were immediately frozen in liquid nitrogen upon collection and stored at -80°C for subsequent untargeted metabolomics analysis.
Sample Type:Seedlings

Treatment:

Treatment ID:TR004635
Treatment Summary:This study applied gradient drought stress treatments to Astragalus membranaceus var. mongholicus seedlings. Treatments consisted of four levels: Control (CK), Light Drought (LD), Moderate Drought (MD), and Severe Drought (SD), corresponding to soil water contents of 80-85%, 65-70%, 50-55%, and 35-40% of saturated soil water capacity, respectively. The stress treatment was initiated at the seedling stage and lasted for 18 days. Soil moisture was precisely maintained at the predetermined levels by daily replenishment of water loss using the weighing method in the evening. Upon termination of the treatment, both aboveground (shoot) and root tissues were separately collected from plants in each treatment group. Each group contained three independent biological replicates, resulting in a total of 24 tissue samples. All samples were immediately flash-frozen in liquid nitrogen upon collection and stored at -80°C for subsequent untargeted liquid chromatography-mass spectrometry (LC-MS) metabolomics profiling.

Sample Preparation:

Sampleprep ID:SP004632
Sampleprep Summary:Sample preparation for untargeted metabolomics analysis was performed as follows: Approximately 100 mg of plant tissue powder ground in liquid nitrogen was weighed and extracted with 500 μL of 80% methanol aqueous solution. The mixture was vortexed, incubated on ice for 5 min, and then centrifuged at 15,000 g and 4℃ for 20 min. The supernatant was collected and diluted with MS-grade water to a final methanol content of 35%, followed by another centrifugation under the same conditions (15,000 g, 4℃, 20 min). The resulting supernatant was subjected to LC-MS analysis. Chromatographic separation was carried out on a Hypersil Gold column (C18) maintained at 40℃, with a flow rate of 0.2 mL/min. Mobile phase A was 0.1% formic acid in water, and mobile phase B was methanol. Mass spectrometric detection was performed using an electrospray ionization (ESI) source in both positive and negative ion modes, with a scan range of m/z 100–1500. The spray voltage was set to 3.5 kV, sheath gas flow rate to 35 psi, auxiliary gas flow rate to 10 L/min, capillary temperature to 320°C, and auxiliary gas heater temperature to 350℃.

Combined analysis:

Analysis ID AN007465 AN007466
Chromatography ID CH005658 CH005658
MS ID MS007161 MS007162
Analysis type MS MS
Chromatography type Reversed phase Reversed phase
Chromatography system Thermo Fisher Vanquish UHPLC-Orbitrap Q Exactive HF Thermo Fisher Vanquish UHPLC-Orbitrap Q Exactive HF
Column Hypersil Gold column (100×2.1 mm, 1.9μm) Hypersil Gold column (100×2.1 mm, 1.9μm)
MS Type Other Other
MS instrument type Orbitrap Orbitrap
MS instrument name Thermo Q Exactive HF hybrid Orbitrap Thermo Q Exactive HF hybrid Orbitrap
Ion Mode POSITIVE NEGATIVE
Units peak area peak area

Chromatography:

Chromatography ID:CH005658
Chromatography Summary:Untargeted metabolomics analysis was performed using reversed-phase liquid chromatography coupled with tandem mass spectrometry (UHPLC-MS/MS). Chromatographic separation was carried out on a Thermo Fisher Vanquish UHPLC system equipped with a Hypersil Gold C18 column (100 mm × 2.1 mm, 1.9 μm). The column temperature was maintained at 40°C with a flow rate of 0.2 mL/min. The mobile phase consisted of 0.1% formic acid in water (phase A) and methanol (phase B). A linear gradient elution program was employed as follows: 0-1.5 min, 2% B; 1.5-4.5 min, B phase increased linearly from 2% to 85%; 4.5-14.5 min, B phase increased linearly from 85% to 100%; 14.5-14.6 min, B phase rapidly decreased from 100% to 2%; followed by re-equilibration at 2% B until 17.5 min (total run time 17.5 min, note: based on a standard 12-min gradient plus equilibration time; actual run time may vary). All samples, including quality control (QC) samples, were analyzed under this single chromatographic condition.
Methods Filename:Untargeted Metabolomics Experimental Methods-20241112
Instrument Name:Thermo Fisher Vanquish UHPLC-Orbitrap Q Exactive HF
Column Name:Hypersil Gold column (100×2.1 mm, 1.9μm)
Column Temperature:40°C
Flow Gradient:Linear gradient from 2% to 100% methanol (Solvent B) over 14.5 min at 0.2 mL/min, followed by a rapid reset to 2% B and re-equilibration. Total runtime was 17.5 min.
Flow Rate:0.2 mL/min
Solvent A:100% Water; 0.1% formic acid
Solvent B:100% Methanol
Chromatography Type:Reversed phase

MS:

MS ID:MS007161
Analysis ID:AN007465
Instrument Name:Thermo Q Exactive HF hybrid Orbitrap
Instrument Type:Orbitrap
MS Type:Other
MS Comments:Untargeted metabolomics in positive ESI mode. Key parameters: spray voltage 3.5 kV, capillary temp 320°C, sheath gas 35 psi, aux gas 10 L/min, S-lens RF 60, aux gas heater 350°C. Full scan m/z 100-1500. Data processed using XCMS for peak picking/alignment. Metabolites identified by matching to spectral libraries (mass tolerance 10 ppm). Features with CV >30% in QC samples were removed.
Ion Mode:POSITIVE
  
MS ID:MS007162
Analysis ID:AN007466
Instrument Name:Thermo Q Exactive HF hybrid Orbitrap
Instrument Type:Orbitrap
MS Type:Other
MS Comments:Untargeted metabolomics in negative ESI mode. Key parameters: spray voltage 3.5 kV, capillary temp 320°C, sheath gas 35 psi, aux gas 10 L/min, S-lens RF 60, aux gas heater 350°C. Full scan m/z 100-1500. Data processed using XCMS for peak picking/alignment. Metabolites identified by matching to spectral libraries (mass tolerance 10 ppm). Features with CV >30% in QC samples were removed.
Ion Mode:NEGATIVE
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