Summary of Study ST003223
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 PR002007. The data can be accessed directly via it's Project DOI: 10.21228/M8624Z 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 | ST003223 |
Study Title | EVALUATION OF THE INFLUENCE OF ENVIRONMENTAL CONDITIONS ON THE METABOLOME OF Psychotria viridis LEAVES Ruiz & Pav.: Lipidomics approach |
Study Summary | Psychotria viridis Ruiz & Pav. has gained particular attention due to its use in the ayahuasca drink. This work aims to deepen the understanding of the composition of specialized metabolites in the leaves of Psychotria viridis Ruiz & Pav. and investigate the influence of the seasonality on the composition. The specimens were grown in the open field and others in the shaded environment of rubber tree (Hevea brasiliensis L.) cultivation. These specimens make up a clonal population of the mother-plant. The collection was made in the four seasons. After a three-phase extraction method on the leaves, the organic phase was analyzed on an ultra-high performance liquid chromatography coupled to electrospray ionization and Orbitrap mass spectrometry (UHPLC-ESI-Orbitrap-MS) system. Acquired data were processed using MS-DIAL 4.9 and MetaboAnalyst 5.0 for multivariate and pathway activity analysis. Chemical variations were investigated employing principal component analysis (PCA), hierarchical cluster analysis (HCA) and partial least squares discriminant analysis (PLS-DA). Through PCA was shown that samples tend to differentiate just according seasonality what was not observed according cultivation area. The most important identified compounds for differentiation according to the seasonality were polyunsaturated lipids with a carbon chain longer than 21 carbons. The pathway with significant variation in response to the seasonality was related to oxidative stress: alpha-linolenic acid metabolism. In this context, the change in the alpha-linolenic acid pathway could be associated with the adaptation of leaves to the drop in temperature that naturally occurs in winter compared to other seasons of the year under analysis. Keywords: Psychotria viridis, seasonality, abiotic stress, liquid chromatography-mass spectrometry; lipidomics. |
Institute | University of Campinas |
Last Name | Matos |
First Name | Taynara |
Address | Rua Josué de Castro, s/n – Cidade Universitária, 13083-970, Campinas – SP, Brazil |
t262827@dac.unicamp.br | |
Phone | +5585996154192 |
Submit Date | 2024-05-22 |
Num Groups | 3 |
Raw Data Available | Yes |
Raw Data File Type(s) | raw(Thermo) |
Analysis Type Detail | LC-MS |
Release Date | 2025-03-13 |
Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
Project ID: | PR002007 |
Project DOI: | doi: 10.21228/M8624Z |
Project Title: | EVALUATION OF THE INFLUENCE OF ENVIRONMENTAL CONDITIONS ON THE METABOLOME OF Psychotria viridis LEAVES Ruiz & Pav. |
Project Type: | MS untargeted analysis |
Project Summary: | Elucidate the metabolic changes in the leaves of Psychotria viridis Ruiz & Pav. cultivated in different environmental conditions through a multiplatform global metabolomics and lipidomics approach. Evaluate the possibility of differentiating leaf lipidome and metabolome samples by season and place of cultivation; Identify which metabolites would be statistically significant for differentiating the samples; Establish the most altered metabolic pathways when comparing environmental conditions; Correlate the differential metabolites with the metabolic pathways altered due to the environmental conditions of collection and cultivation of P. viridis leaves. |
Institute: | University of Campinas |
Department: | Chemistry's Institute |
Laboratory: | Laboratory of Bioanalytics and Integrated Omics |
Last Name: | Matos |
First Name: | Taynara |
Address: | Rua Josué de Castro, s/n – Cidade Universitária, 13083-970, Campinas – SP, Brazil |
Email: | t262827@dac.unicamp.br |
Phone: | (85)996154192 |
Project Comments: | Study part 1 of 2 |
Subject:
Subject ID: | SU003342 |
Subject Type: | Plant |
Subject Species: | Psychotria viridis |
Species Group: | Plants |
Factors:
Subject type: Plant; Subject species: Psychotria viridis (Factor headings shown in green)
mb_sample_id | local_sample_id | Season collection | Treatment cultivation | Sample source |
---|---|---|---|---|
SA352141 | FE6O_N | Fall | Shade | Leaves |
SA352142 | FE1O_N | Fall | Shade | Leaves |
SA352143 | FF1O_N | Fall | Shade | Leaves |
SA352144 | FC6O_P | Fall | Shade | Leaves |
SA352145 | FE6O_P | Fall | Shade | Leaves |
SA352146 | FA6O_P | Fall | Shade | Leaves |
SA352147 | FC1O_P | Fall | Shade | Leaves |
SA352148 | FC1O_N | Fall | Shade | Leaves |
SA352149 | FA6O_N | Fall | Shade | Leaves |
SA352150 | FB1O_N | Fall | Shade | Leaves |
SA352151 | FD1O_N | Fall | Shade | Leaves |
SA352152 | FB6O_N | Fall | Shade | Leaves |
SA352153 | FD6O_N | Fall | Shade | Leaves |
SA352154 | FA1O_N | Fall | Shade | Leaves |
SA352155 | FF6O_N | Fall | Shade | Leaves |
SA352156 | FA1O_P | Fall | Shade | Leaves |
SA352157 | FC6O_N | Fall | Shade | Leaves |
SA352158 | FF6O_P | Fall | Shade | Leaves |
SA352159 | FD1O_P | Fall | Shade | Leaves |
SA352160 | FB1O_P | Fall | Shade | Leaves |
SA352161 | FF1O_P | Fall | Shade | Leaves |
SA352162 | FE1O_P | Fall | Shade | Leaves |
SA352163 | FB6O_P | Fall | Shade | Leaves |
SA352164 | FD6O_P | Fall | Shade | Leaves |
SA352165 | FG1O_P | Fall | Sun | Leaves |
SA352166 | FH1O_N | Fall | Sun | Leaves |
SA352167 | FK6O_N | Fall | Sun | Leaves |
SA352168 | FG1O_N | Fall | Sun | Leaves |
SA352169 | FG6O_N | Fall | Sun | Leaves |
SA352170 | FJ1O_N | Fall | Sun | Leaves |
SA352171 | FH6O_P | Fall | Sun | Leaves |
SA352172 | FJ1O_P | Fall | Sun | Leaves |
SA352173 | FG6O_P | Fall | Sun | Leaves |
SA352174 | FH1O_P | Fall | Sun | Leaves |
SA352175 | FJ6O_P | Fall | Sun | Leaves |
SA352176 | FI1O_P | Fall | Sun | Leaves |
SA352177 | FI6O_N | Fall | Sun | Leaves |
SA352178 | FL1O_N | Fall | Sun | Leaves |
SA352179 | FH6O_N | Fall | Sun | Leaves |
SA352180 | FK1O_N | Fall | Sun | Leaves |
SA352181 | FL6O_N | Fall | Sun | Leaves |
SA352182 | FK6O_P | Fall | Sun | Leaves |
SA352183 | FL6O_P | Fall | Sun | Leaves |
SA352184 | FI1O_N | Fall | Sun | Leaves |
SA352185 | FK1O_P | Fall | Sun | Leaves |
SA352186 | FL1O_P | Fall | Sun | Leaves |
SA352187 | FI6O_P | Fall | Sun | Leaves |
SA352188 | FJ6O_N | Fall | Sun | Leaves |
SA352189 | BExt2_P | Not applicable | Not applicable | Blank |
SA352190 | BCor2_P | Not applicable | Not applicable | Blank |
SA352191 | BExt1_P | Not applicable | Not applicable | Blank |
SA352192 | BExt2_N | Not applicable | Not applicable | Blank |
SA352193 | BCor1_N | Not applicable | Not applicable | Blank |
SA352194 | BCor2_N | Not applicable | Not applicable | Blank |
SA352195 | BCor1_P | Not applicable | Not applicable | Blank |
SA352196 | BExt1_N | Not applicable | Not applicable | Blank |
SA352197 | QC1_P | Not applicable | Not applicable | Leaves |
SA352198 | QC2_P | Not applicable | Not applicable | Leaves |
SA352199 | QC4_P | Not applicable | Not applicable | Leaves |
SA352200 | QCEq_4_P | Not applicable | Not applicable | Leaves |
SA352201 | QC3_N | Not applicable | Not applicable | Leaves |
SA352202 | QCEq_3_P | Not applicable | Not applicable | Leaves |
SA352203 | QC4_N | Not applicable | Not applicable | Leaves |
SA352204 | QCEq_1_P | Not applicable | Not applicable | Leaves |
SA352205 | QCEq_2_P | Not applicable | Not applicable | Leaves |
SA352206 | QC2_N | Not applicable | Not applicable | Leaves |
SA352207 | QC5_P | Not applicable | Not applicable | Leaves |
SA352208 | QC8_P | Not applicable | Not applicable | Leaves |
SA352209 | QCEq_2_N | Not applicable | Not applicable | Leaves |
SA352210 | QCEq_1_N | Not applicable | Not applicable | Leaves |
SA352211 | QCEq_3_N | Not applicable | Not applicable | Leaves |
SA352212 | QCEq_4_N | Not applicable | Not applicable | Leaves |
SA352213 | QC6_P | Not applicable | Not applicable | Leaves |
SA352214 | QC1_N | Not applicable | Not applicable | Leaves |
SA352215 | QC7_P | Not applicable | Not applicable | Leaves |
SA352216 | QC8_N | Not applicable | Not applicable | Leaves |
SA352217 | QC3_P | Not applicable | Not applicable | Leaves |
SA352218 | QC5_N | Not applicable | Not applicable | Leaves |
SA352219 | QC7_N | Not applicable | Not applicable | Leaves |
SA352220 | QC6_N | Not applicable | Not applicable | Leaves |
SA352221 | SE6O_N | Summer | Shade | Leaves |
SA352222 | SC6O_N | Summer | Shade | Leaves |
SA352223 | SD1O_P | Summer | Shade | Leaves |
SA352224 | SC6O_P | Summer | Shade | Leaves |
SA352225 | SF6O_N | Summer | Shade | Leaves |
SA352226 | SE6O_P | Summer | Shade | Leaves |
SA352227 | SA1O_P | Summer | Shade | Leaves |
SA352228 | SB6O_N | Summer | Shade | Leaves |
SA352229 | SD6O_N | Summer | Shade | Leaves |
SA352230 | SC1O_P | Summer | Shade | Leaves |
SA352231 | SF1O_N | Summer | Shade | Leaves |
SA352232 | SA6O_P | Summer | Shade | Leaves |
SA352233 | SE1O_N | Summer | Shade | Leaves |
SA352234 | SB1O_P | Summer | Shade | Leaves |
SA352235 | SB6O_P | Summer | Shade | Leaves |
SA352236 | SD6O_P | Summer | Shade | Leaves |
SA352237 | SF1O_P | Summer | Shade | Leaves |
SA352238 | SE1O_P | Summer | Shade | Leaves |
SA352239 | SF6O_P | Summer | Shade | Leaves |
SA352240 | SA1O_N | Summer | Shade | Leaves |
Collection:
Collection ID: | CO003335 |
Collection Summary: | 4 leaves from different regions of each specimen were collected and stored in paper bags. The collection was carried out in the four seasons of the year: summer, winter, spring, and autumn. The spring samples remained in a paper bag longer than the other samples. Due to this difference in storage, it was decided not to continue the analyzes with them. |
Sample Type: | Plant |
Storage Conditions: | -80℃ |
Treatment:
Treatment ID: | TR003351 |
Treatment Summary: | After 24 h of collection, the samples were dried in an oven (40 ºC, 48 h), macerated with a mortar and pestle with the aid of liquid nitrogen, transferred to a glass tube and stored at -80 ºC until analysis. |
Sample Preparation:
Sampleprep ID: | SP003349 |
Sampleprep Summary: | The biological material underwent a 3-phase extraction method. The separated and dried phases were stored at -80 ºC until chromatographic analysis. For lipidomics, the organic phase was resuspended in 1 mL mixture of solvents corresponding to the initial of the chromatographic run: 60% mobile phase A and 40% mobile phase B and filtered in 0.22 µL PVDF filter. |
Processing Storage Conditions: | -80℃ |
Combined analysis:
Analysis ID | AN005284 | AN005285 |
---|---|---|
Analysis type | MS | MS |
Chromatography type | Reversed phase | Reversed phase |
Chromatography system | Thermo UltiMate 3000 RSLCnano | Thermo UltiMate 3000 RSLCnano |
Column | Merck Supelco Titan C18 (100 × 2.1 mm, 1.9 µm) | Merck Supelco Titan C18 (100 × 2.1 mm, 1.9 µm) |
MS Type | ESI | ESI |
MS instrument type | Orbitrap | Orbitrap |
MS instrument name | Thermo Q Exactive Orbitrap | Thermo Q Exactive Orbitrap |
Ion Mode | POSITIVE | NEGATIVE |
Units | Peak area | Peak area |
Chromatography:
Chromatography ID: | CH003997 |
Instrument Name: | Thermo UltiMate 3000 RSLCnano |
Column Name: | Merck Supelco Titan C18 (100 × 2.1 mm, 1.9 µm) |
Column Temperature: | 40 |
Flow Gradient: | 0.20 mL/min: 0-2 min, 40% B; 2-3 min, 50% B; 3-6 min, 50% B; 6.1-8 min, 70% B; 8-9 min, 100%B; 9-11 mim, 100%; 11-12 min, 40%B; 12-14 min; 40% B. |
Flow Rate: | 0.20 mL/min |
Solvent A: | 60% Water, 40% Acetonitrile; 10 mM ammonium acetate |
Solvent B: | 90% Isopropanol, 10% Acetonitrile; 10 mM ammonium acetate |
Chromatography Type: | Reversed phase |
MS:
MS ID: | MS005014 |
Analysis ID: | AN005284 |
Instrument Name: | Thermo Q Exactive Orbitrap |
Instrument Type: | Orbitrap |
MS Type: | ESI |
MS Comments: | Data-dependent acquisition mode of the 5 most intense peaks. Full scan data were acquired between m/z 100 and 1500 in profile mode and at resolution 70000 (at m/z = 200). The automatic gain control was set as automatic gain control target at 1E6, 1 scan s-1, and injection time at 100 ms. Pre-processing data on MS-DIAL 4.9 software. The parameter analysis were setting with MS1 tolerance of 0.02 Da, MS2 tolerance 0.06 Da, MS1 and MS2 m/z 100-1500 range, maximum charged number 1; peak detection with 10000 of minimum peak height and mass slice width of 0.1 Da; deconvolution with MS/MS abundance cut off of 30 amplitude and sigma window value of 0.5; alignment parameters with retention time tolerance 0.5 min, MS1 tolerance of 0.02 Da and removed features based on blank information. |
Ion Mode: | POSITIVE |
Spray Voltage: | +3.5 |
MS ID: | MS005015 |
Analysis ID: | AN005285 |
Instrument Name: | Thermo Q Exactive Orbitrap |
Instrument Type: | Orbitrap |
MS Type: | ESI |
MS Comments: | Data-dependent acquisition mode of the 5 most intense peaks. Full scan data were acquired between m/z 100 and 1500 in profile mode and at resolution 70000 (at m/z = 200). The automatic gain control was set as automatic gain control target at 1E6, 1 scan s-1, and injection time at 100 ms. Pre-processing data on MS-DIAL 4.9 software. The parameter analysis were setting with MS1 tolerance of 0.02 Da, MS2 tolerance 0.06 Da, MS1 and MS2 m/z 100-1500 range, maximum charged number 1; peak detection with 10000 of minimum peak height and mass slice width of 0.1 Da; deconvolution with MS/MS abundance cut off of 30 amplitude and sigma window value of 0.5; alignment parameters with retention time tolerance 0.5 min, MS1 tolerance of 0.02 Da and removed features based on blank information. |
Ion Mode: | NEGATIVE |
Spray Voltage: | -3.2 |