Summary of Study ST002266

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 PR001448. The data can be accessed directly via it's Project DOI: 10.21228/M8JQ4M This work is supported by NIH grant, U2C- DK119886.

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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.

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Study IDST002266
Study TitleKīlauea lava fuels phytoplankton bloom in the North Pacific Ocean - study of particulate metabolites
Study TypeStudy of particulate metabolites in phytoplankton blooms.
Study SummaryThese data are relative concentrations of targeted metabolites measured in particulate matter collected from near the Island of Hawai’i in July 2018 during the Kilauea eruption. Six stations were sampled, with station 2 representing the most geothermally impacted station closest to the lava entry. Station 6 was the most oligotrophic station. The particulate metabolites show evidence of altered community composition and metabolism at the geothermally impacted station. This station was within a phytoplankton bloom. The bloom was stimulated by lava heating deep seawater and driving upwelling, which then provided nutrients for diatom growth. See Wilson and Hawco, et. al. 2019 (DOI: 10.1126/science.aax4767) for a complete description of sample collection, phytoplankton bloom dynamics, and chemical modifications of seawater due to the eruption. Metabolites with high concentration (relative abundance per L of seawater) in the geothermally impacted station (St 2) compared to the other stations were: cytosine, hydroxyectoine, adenine, adenosine, thymine, glutamic acid, ectoine, deoxyadenosine, UDP-glucosamine, and guanosine. After normalizing to the particulate carbon concentration at each station, guanosine, glutamic acid, hydroxyectoine, ectoine, adenosine, deoxyadenosine, and UDP-glucosamine were enriched in the geothermally impacted station relative to other stations. Ectoine was the metabolite with the largest change between St 2 and St 6, regardless of normalization to L of seawater or to moles of particulate carbon, with dramatically higher concentrations in the geothermally impacted waters. Except for glutamic and proline, particulate amino acids were generally in higher concentrations in the oligotrophic station.
Institute
University of Washington
DepartmentSchool of Oceanography
LaboratoryIngalls Lab
Last NameLionheart
First NameRegina
Address1400 NE Campus Parkway, Seattle, Washington, 98195, USA
Emailregina16@uw.edu
Phone2062216750
Submit Date2022-08-10
Raw Data AvailableYes
Raw Data File Type(s)mzXML
Analysis Type DetailLC-MS
Release Date2022-09-05
Release Version1
Regina Lionheart Regina Lionheart
https://dx.doi.org/10.21228/M8JQ4M
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Project:

Project ID:PR001448
Project DOI:doi: 10.21228/M8JQ4M
Project Title:Kīlauea lava fuels phytoplankton bloom in the North Pacific Ocean - study of particulate metabolites
Project Type:Marine Metabolomics
Project Summary:From June to August 2018, the eruption of the Kīlauea volcano on the island of Hawai‘i injected millions of cubic meters of molten lava into the nutrient-poor waters of the North Pacific Subtropical Gyre. The lava-impacted seawater was characterized by high concentrations of metals and nutrients that stimulated phytoplankton growth, resulting in an extensive plume of chlorophyll a that was detectable by satellite. Samples for particulate metabolites were collected from different stations surrounding the lava flowing into the ocean to see how marine microorganisms respond to exogenous inputs of nutrients and metals.
Institute:University of Washington
Department:School of Oceanography
Laboratory:Ingalls Lab
Last Name:Lionheart
First Name:Regina
Address:1400 NE Campus Parkway, Seattle, Washington, 98195, USA
Email:regina16@uw.edu
Phone:2062216750
Funding Source:Simons Foundation
Publications:Wilson et al., Science September 2019
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