Summary of Study ST000921

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench,, where it has been assigned Project ID PR000637. The data can be accessed directly via it's Project DOI: 10.21228/M8B96C This work is supported by NIH grant, U2C- DK119886.


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 IDST000921
Study TitleKarenia brevis allelopathy compromises the lipidome, membrane integrity, and photosynthetic efficiency of competitors
Study TypeUntargeted lipidomics
Study SummaryAllelopathy, or the release of compounds that inhibit competitors, is a form of interference competition that is common among bloom-forming phytoplankton. Allelopathy is hypothesized to play a role in bloom propagation and maintenance and is well established in the red tide dinoflagellate Karenia brevis. K. brevis typically suppresses competitor growth through unknown mechanisms over the course of many days. When we investigated the effects of allelopathy on the lipidomes of two competing phytoplankton, Asterionellopsis glacialis and Thalassiosira pseudonana using nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry (MS)- based metabolomics, we found that the lipidomes of both species were significantly altered, however A. glacialis maintained a more robust response whereas T. pseudonana saw significant alterations in fatty acid synthesis, cell membrane integrity, and a decrease in photosynthetic efficiency. Membrane- associated lipids were significantly suppressed for T. pseudonana exposed to allelopathy to the point of permeabilizing the cell membrane of living cells. The dominant mechanisms of K. brevis allelopathy appear to target lipid biosynthesis affecting multiple physiological pathways suggesting that exuded compounds have the ability to significantly alter competitor physiology and give K. brevis a competitive edge over sensitive species.
Georgia Institute of Technology
Last NameHogan
First NameScott
Address901 Atlantic Drive, Atlanta, GA, 30332, USA
Submit Date2018-01-19
Num Groups4
Total Subjects51
Raw Data AvailableNo
Raw Data File Type(s)raw(Waters)
Analysis Type DetailLC-MS
Release Date2018-08-27
Release Version1
Scott Hogan Scott Hogan application/zip

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Sample Preparation:

Sampleprep ID:SP000966
Sampleprep Summary:To separate polar and lipid intracellular metabolites, dried extracts were dissolved in a biphasic mixture of 9:10:15 water/methanol/chloroform. The more lipophilic layer was removed and washed twice with 9:10 water/methanol. Lipid extracts were reconstituted in 200 μL 2-propanol. Quantitative metabolomics data were acquired using a Waters Xevo G2 QTOF mass spectrometer.