Summary of Study ST004041
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 PR002533. The data can be accessed directly via it's Project DOI: 10.21228/M8784B 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 | ST004041 |
| Study Title | Spatio-temporal phytoplankton dynamics of metabolite production depending on weather conditions |
| Study Type | Environmental metabolomics |
| Study Summary | In this study, we investigate the temporal and spatial dynamics of phytoplankton community and the production of their primary and secondary untargeted metabolites in response to local meteorological events. Thus, we collected water samples in two points of the Aydat Lake (France): near the inflowing waters from Veyre River and at the middle of the lake during the 2021 summer. Untargeted intracellular metabolites were measured using ultra-high-performance liquid chromatography coupled with a high-resolution mass spectrometer, as well as phytoplankton biovolume and diversity and physicochemical lake’s parameters. |
| Institute | Muséum Nationale d'Histoire Naturelle |
| Department | Aviv |
| Laboratory | UMR 7245 MCAM |
| Last Name | Marie |
| First Name | Benjamin |
| Address | 12 rue Buffon, Paris, Île-de-france, 75005, France |
| bmarie@mnhn.fr | |
| Phone | 01-40-79-32-12 |
| Submit Date | 2025-07-08 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | mzXML |
| Analysis Type Detail | LC-MS |
| Release Date | 2025-08-05 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
| Project ID: | PR002533 |
| Project DOI: | doi: 10.21228/M8784B |
| Project Title: | Spatio-temporal disparities in phytoplankton dynamics and metabolite production depending on environmental conditions |
| Project Type: | Environmental metabolomics |
| Project Summary: | Various studies suggest that global change is causing an increase in phytoplankton biomass, cyanobacteria prevalence and cyanotoxin production. Metabolomics approaches in natural system hold great promise in investigating the factors leading to variations in phytoplankton successions and subsequent cyanotoxin production. However, eco-metabolomics studies are still scarce in literature and suffer to adequately unravel the biologically relevant variables under environmental changes. In this study, we investigate the temporal and spatial dynamics of phytoplankton community and the production of their primary and secondary untargeted metabolites in response to seasonal variations. Thus, we collected water samples in two points of the Aydat Lake (France): near the inflowing waters from Veyre River and at the middle of the lake during the 2021 summer. Untargeted intracellular metabolites were measured using ultra-high-performance liquid chromatography coupled with a high-resolution mass spectrometer, as well as phytoplankton biovolume and diversity and physicochemical lake’s parameters. Our results highlight the existence of local metabolomic niches, as we report significant difference in the intra-cellular content in metabolites between the 2 sampling sites, separated by only 200m, while phytoplankton communities were similar. |
| Institute: | Muséum Nationale d'Histoire Naturelle |
| Last Name: | Marie |
| First Name: | Benjamin |
| Address: | 12 rue Buffon, Paris, Île-de-france, 75005, France |
| Email: | bmarie@mnhn.fr |
| Phone: | 01-40-79-32-12 |
Subject:
| Subject ID: | SU004187 |
| Subject Type: | Water sample |
Factors:
Subject type: Water sample; Subject species: - (Factor headings shown in green)
| mb_sample_id | local_sample_id | Sample source | Site (Z inflow L middle lake) | profondeur (m) | date |
|---|---|---|---|---|---|
| SA467056 | KL0_4_20_1_1610 | Filtered lake water | L | 0 | 13/9 |
| SA467057 | KL0_2_18_1_1608 | Filtered lake water | L | 0 | 13/9 |
| SA467058 | KL0_3_19_1_1609 | Filtered lake water | L | 0 | 13/9 |
| SA467059 | KL0_1_17_1_1607 | Filtered lake water | L | 0 | 13/9 |
| SA467060 | GL0_4_36_1_1510 | Filtered lake water | L | 0 | 16/8 |
| SA467061 | GL0_3_35_1_1509 | Filtered lake water | L | 0 | 16/8 |
| SA467062 | GL0_2_34_1_1508 | Filtered lake water | L | 0 | 16/8 |
| SA467063 | GL0_1_33_1_1507 | Filtered lake water | L | 0 | 16/8 |
| SA467064 | LL0_1_25_1_1617 | Filtered lake water | L | 0 | 17/9 |
| SA467065 | LL0_2_26_1_1618 | Filtered lake water | L | 0 | 17/9 |
| SA467066 | LL0_3_27_1_1619 | Filtered lake water | L | 0 | 17/9 |
| SA467067 | LL0_4_28_1_1620 | Filtered lake water | L | 0 | 17/9 |
| SA467072 | AL0_2_2_1_1410 | Filtered lake water | L | 0 | 23/7 |
| SA467073 | AL0_1_1_1_1409 | Filtered lake water | L | 0 | 23/7 |
| SA467074 | AL0_3_3_1_1411 | Filtered lake water | L | 0 | 23/7 |
| SA467075 | AL0_4_4_1_1412 | Filtered lake water | L | 0 | 23/7 |
| SA467076 | HL0_1_41_1_1517 | Filtered lake water | L | 0 | 23/8 |
| SA467077 | HL0_4_44_1_1520 | Filtered lake water | L | 0 | 23/8 |
| SA467078 | HL0_3_43_1_1519 | Filtered lake water | L | 0 | 23/8 |
| SA467079 | HL0_2_42_1_1518 | Filtered lake water | L | 0 | 23/8 |
| SA467080 | ML0_4_36_1_1630 | Filtered lake water | L | 0 | 23/9 |
| SA467081 | ML0_3_35_1_1629 | Filtered lake water | L | 0 | 23/9 |
| SA467082 | ML0_2_34_1_1628 | Filtered lake water | L | 0 | 23/9 |
| SA467083 | ML0_1_33_1_1627 | Filtered lake water | L | 0 | 23/9 |
| SA467084 | BL0_3_19_1_1435 | Filtered lake water | L | 0 | 26/7 |
| SA467085 | BL0_1_17_1_1433 | Filtered lake water | L | 0 | 26/7 |
| SA467086 | BL0_2_18_1_1434 | Filtered lake water | L | 0 | 26/7 |
| SA467087 | BL0_4_20_1_1436 | Filtered lake water | L | 0 | 26/7 |
| SA467088 | NL0_4_44_1_1640 | Filtered lake water | L | 0 | 27/9 |
| SA467089 | NL0_3_43_1_1639 | Filtered lake water | L | 0 | 27/9 |
| SA467090 | NL0_2_42_1_1638 | Filtered lake water | L | 0 | 27/9 |
| SA467091 | NL0_1_41_1_1637 | Filtered lake water | L | 0 | 27/9 |
| SA467068 | DL0_1_9_1_1477 | Filtered lake water | L | 0 | 2/8 |
| SA467069 | DL0_4_12_1_1480 | Filtered lake water | L | 0 | 2/8 |
| SA467070 | DL0_3_11_1_1479 | Filtered lake water | L | 0 | 2/8 |
| SA467071 | DL0_2_10_1_1478 | Filtered lake water | L | 0 | 2/8 |
| SA467092 | CL0_2_2_1_1468 | Filtered lake water | L | 0 | 28/7 |
| SA467093 | CL0_1_1_1_1467 | Filtered lake water | L | 0 | 28/7 |
| SA467094 | CL0_4_4_1_1470 | Filtered lake water | L | 0 | 28/7 |
| SA467095 | CL0_3_3_1_1469 | Filtered lake water | L | 0 | 28/7 |
| SA467096 | IL0_4_4_1_1590 | Filtered lake water | L | 0 | 30/8 |
| SA467097 | IL0_3_3_1_1589 | Filtered lake water | L | 0 | 30/8 |
| SA467098 | IL0_1_1_1_1587 | Filtered lake water | L | 0 | 30/8 |
| SA467099 | IL0_2_2_1_1588 | Filtered lake water | L | 0 | 30/8 |
| SA467100 | EL0_3_19_1_1489 | Filtered lake water | L | 0 | 5/8 |
| SA467101 | EL0_4_20_1_1490 | Filtered lake water | L | 0 | 5/8 |
| SA467102 | EL0_2_18_1_1488 | Filtered lake water | L | 0 | 5/8 |
| SA467103 | EL0_1_17_1_1487 | Filtered lake water | L | 0 | 5/8 |
| SA467104 | JL0_4_12_1_1600 | Filtered lake water | L | 0 | 6/9 |
| SA467105 | JL0_1_9_1_1597 | Filtered lake water | L | 0 | 6/9 |
| SA467106 | JL0_2_10_1_1598 | Filtered lake water | L | 0 | 6/9 |
| SA467107 | JL0_3_11_1_1599 | Filtered lake water | L | 0 | 6/9 |
| SA467108 | FL0_1_25_1_1497 | Filtered lake water | L | 0 | 9/8 |
| SA467109 | FL0_3_27_1_1499 | Filtered lake water | L | 0 | 9/8 |
| SA467110 | FL0_4_28_1_1500 | Filtered lake water | L | 0 | 9/8 |
| SA467111 | FL0_2_26_1_1498 | Filtered lake water | L | 0 | 9/8 |
| SA467112 | KL15_4_24_1_1615 | Filtered lake water | L | 1.5 | 13/9 |
| SA467113 | KL15_1_21_1_1612 | Filtered lake water | L | 1.5 | 13/9 |
| SA467114 | KL15_2_22_1_1613 | Filtered lake water | L | 1.5 | 13/9 |
| SA467115 | KL15_3_23_1_1614 | Filtered lake water | L | 1.5 | 13/9 |
| SA467116 | GL15_2_38_1_1513 | Filtered lake water | L | 1.5 | 16/8 |
| SA467117 | GL15_3_39_1_1514 | Filtered lake water | L | 1.5 | 16/8 |
| SA467118 | GL15_4_40_1_1515 | Filtered lake water | L | 1.5 | 16/8 |
| SA467119 | GL15_1_37_1_1512 | Filtered lake water | L | 1.5 | 16/8 |
| SA467120 | LL15_1_29_1_1622 | Filtered lake water | L | 1.5 | 17/9 |
| SA467121 | LL15_3_31_1_1624 | Filtered lake water | L | 1.5 | 17/9 |
| SA467122 | LL15_4_32_1_1625 | Filtered lake water | L | 1.5 | 17/9 |
| SA467123 | LL15_2_30_1_1623 | Filtered lake water | L | 1.5 | 17/9 |
| SA467128 | AL15_1_5_1_1415 | Filtered lake water | L | 1.5 | 23/7 |
| SA467129 | AL15_2_6_1_1416 | Filtered lake water | L | 1.5 | 23/7 |
| SA467130 | AL15_3_7_1_1417 | Filtered lake water | L | 1.5 | 23/7 |
| SA467131 | AL15_4_8_1_1418 | Filtered lake water | L | 1.5 | 23/7 |
| SA467132 | HL15_4_48_1_1525 | Filtered lake water | L | 1.5 | 23/8 |
| SA467133 | HL15_2_46_1_1523 | Filtered lake water | L | 1.5 | 23/8 |
| SA467134 | HL15_1_45_1_1522 | Filtered lake water | L | 1.5 | 23/8 |
| SA467135 | HL15_3_47_1_1524 | Filtered lake water | L | 1.5 | 23/8 |
| SA467136 | ML15_3_39_1_1634 | Filtered lake water | L | 1.5 | 23/9 |
| SA467137 | ML15_1_37_1_1632 | Filtered lake water | L | 1.5 | 23/9 |
| SA467138 | ML15_2_38_1_1633 | Filtered lake water | L | 1.5 | 23/9 |
| SA467139 | ML15_4_40_1_1635 | Filtered lake water | L | 1.5 | 23/9 |
| SA467140 | BL15_4_24_1_1442 | Filtered lake water | L | 1.5 | 26/7 |
| SA467141 | BL15_2_22_1_1440 | Filtered lake water | L | 1.5 | 26/7 |
| SA467142 | BL15_1_21_1_1439 | Filtered lake water | L | 1.5 | 26/7 |
| SA467143 | BL15_3_23_1_1441 | Filtered lake water | L | 1.5 | 26/7 |
| SA467144 | NL15_1_45_1_1642 | Filtered lake water | L | 1.5 | 27/9 |
| SA467145 | NL15_4_48_1_1645 | Filtered lake water | L | 1.5 | 27/9 |
| SA467146 | NL15_3_47_1_1644 | Filtered lake water | L | 1.5 | 27/9 |
| SA467147 | NL15_2_46_1_1643 | Filtered lake water | L | 1.5 | 27/9 |
| SA467124 | DL15_1_13_1_1482 | Filtered lake water | L | 1.5 | 2/8 |
| SA467125 | DL15_2_14_1_1483 | Filtered lake water | L | 1.5 | 2/8 |
| SA467126 | DL15_3_15_1_1484 | Filtered lake water | L | 1.5 | 2/8 |
| SA467127 | DL15_4_16_1_1485 | Filtered lake water | L | 1.5 | 2/8 |
| SA467148 | CL15_3_7_1_1474 | Filtered lake water | L | 1.5 | 28/7 |
| SA467149 | CL15_1_5_1_1472 | Filtered lake water | L | 1.5 | 28/7 |
| SA467150 | CL15_2_6_1_1473 | Filtered lake water | L | 1.5 | 28/7 |
| SA467151 | CL15_4_8_1_1475 | Filtered lake water | L | 1.5 | 28/7 |
| SA467152 | IL15_3_7_1_1594 | Filtered lake water | L | 1.5 | 30/8 |
| SA467153 | IL15_4_8_1_1595 | Filtered lake water | L | 1.5 | 30/8 |
| SA467154 | IL15_1_5_1_1592 | Filtered lake water | L | 1.5 | 30/8 |
| SA467155 | IL15_2_6_1_1593 | Filtered lake water | L | 1.5 | 30/8 |
Collection:
| Collection ID: | CO004180 |
| Collection Summary: | Lake Aydat (45.6°N; 2.9°E) is in the French Massif Central, around 15 km southwest of Clermont Ferrand, at 837 m above sea level. The monitoring of Lake Aydat has been conducted from August 05th, 2021, to September 27th, 2021. Weekly and sporadic surface lake water samples are taken both prior to and following precipitation events. At each depth (0 or 1.5 m) and location (L=inflow; Z=center of the lake), approximately 10 liters of lake water collected with a Van Dorn bottle are then pre-filtered through a 250-micrometer Nylon filter to remove larger particles and kept phytoplankton, and then transferred into 15-liter containers. The lake water is immediately filtered in the laboratory using a 150-μm Nylon membrane to avoid the presence of zooplankton in the lake samples. For each depth and location, one liter of lake water is filtered on 10-μm nylon membranes using ultra-fast filtration and then are immediately transferred into 15 mL sterile falcon tubes and quickly flash-frozen in liquid nitrogen to preserve the samples for metabolomics analysis. |
| Sample Type: | Algae |
| Collection Location: | Aydat lake (France) |
| Collection Frequency: | Weekly |
| Collection Duration: | 2 month |
| Volumeoramount Collected: | 10 L |
| Storage Conditions: | -20℃ |
Treatment:
| Treatment ID: | TR004196 |
| Treatment Summary: | No treatment was applied to the water samples, that were collected accordingly. For each depth and location, one liter of lake water is filtered on 10-μm nylon membranes using ultra-fast filtration and then are immediately transferred into 15 mL sterile falcon tubes and quickly flash-frozen in liquid nitrogen to preserve the samples for metabolomics analysis. This process, known as quenching, is performed as quickly as possible to ensure a reliable method and minimize any disturbance to the endo-metabolism of cells. The filtration time for each sample is less than 30 seconds, and the Falcon tubes are kept at -20°C until the day of extraction. This procedure is applied four times to ensure four replicates of each sample per site and depth. Blanks are performed by filtering 1 liter of sterile ultra-pure water. |
| Treatment Protocol ID: | Phytoplankton sampling was performed by filtering on 10-μm nylon membranes without any specific treament |
| Treatment Protocol Filename: | No treatment |
| Treatment Protocol Comments: | No treatment |
| Treatment: | Phytoplankton sampling was performed by filtering on 10-μm nylon membranes without any specific treament |
| Treatment Compound: | No treatment |
| Treatment Route: | No treatment |
| Treatment Dose: | No treatment |
| Treatment Dosevolume: | No treatment |
| Treatment Doseduration: | No treatment |
| Treatment Vehicle: | No treatment |
Sample Preparation:
| Sampleprep ID: | SP004193 |
| Sampleprep Summary: | On the day of extraction, we rinse the filter with 1 mL of sterile MQ water mixed with 0.1% NaCl and then vortex it. The filter is then centrifuged at 4°C (5,000 g, 5 min) with the Falcon tube cap attached, and we transfer the pellet to an Eppendorf tube. The Eppendorf tube is centrifuged at 4°C (15000 g, 10 min) and the supernatant is discarded, allowing us to weigh the pellet. We adjust the volume of an ice-cold solvent mixture, composed of methanol, acetonitrile, and water in a 2:2:1 ratio, according to the weighed biomass: 100 μL of the ice-cold solvent mixture corresponds to 1 mg of biomass. For the blank, we systematically add 200 μL of the mixture. Next, we subject the samples to mechanical disruption through three cycles of freezing and thawing using liquid nitrogen, alternating with three cycles of sonication. Each sonication cycle lasts 15 seconds and is performed at a power of 40% using a Fisherbrand™ Model 120 Sonic Dismembrator. Throughout this process, we keep the samples in ice. After extraction, the samples are centrifuged at 4°C (15000 g, 10 min) before being transferred into 40 μL vials (AR0-9973-13, Verex™ Vial Kit) and stored at -80°C until the detection of metabolites. In total, we extract 224 samples through four serial extractions, with a blank sample added systematically in each serial. |
| Processing Storage Conditions: | -80℃ |
| Extract Storage: | On ice |
Chromatography:
| Chromatography ID: | CH005076 |
| Chromatography Summary: | The extracts are further analyzed by injecting 2 μL of the solution onto a C18 column (Polar Advantage II 2.5 pore, Thermo) using an ultra-high-performance liquid chromatography (UHPLC) system (ELUTE, Bruker). The elution is done at a flow rate of 300 μL.min-1 with a linear gradient of acetonitrile in 0.1% formic acid (5 to 90%) over a period of 21 minutes. Next, we analyze the individual metabolite content using a high-resolution electrospray ionization hybrid quadrupole time-of-flight (ESI-Qq-TOF) mass spectrometer (Compact, Bruker) operating in positive auto MS/MS mode. |
| Instrument Name: | ELUTE BRUKER |
| Column Name: | Thermo Acclaim Polar Advantage II (150 x 3mm,3um) |
| Column Temperature: | 40 |
| Flow Gradient: | Linear gradient of 5-90% B over 21 min |
| Flow Rate: | 300 uL/min |
| Internal Standard: | Sodium formate |
| Solvent A: | 100% water; 0.1% formic acid |
| Solvent B: | 100% acetonitrile; 0.1% formic acid |
| Chromatography Type: | Reversed phase |
Analysis:
| Analysis ID: | AN006680 |
| Laboratory Name: | PtSMB |
| Analysis Type: | MS |
| Operator Name: | Benjamin MARIE |
| Chromatography ID: | CH005076 |
| Has Rt: | 1 |
| Rt Units: | Seconds |
| Results File: | ST004041_AN006680_Results.txt |
| Units: | Peak area (counts) |