Dataset: Sample and treatment information from mass spectrometry assays of metabolite experiments on Thalassiosira pseudonanna 1335 inoculated with three bacterial strains

Release Date:2020-11-04Final no updates expectedDOI: 10.26008/1912/bco-dmo.826670.1Version 1 (2020-10-14)Dataset Type:experimental

Principal Investigator: Elizabeth Kujawinski (Woods Hole Oceanographic Institution)

Contact: Brittany Widner (Woods Hole Oceanographic Institution)

BCO-DMO Data Manager: Nancy Copley (Woods Hole Oceanographic Institution)


Program: Marine Microbiology Initiative (MMI)

Project: Metabolic Currencies of the Ocean Carbon Cycle (Metabolic Currencies)

Project: Assessing the Movement of Carbon Currencies Between Marine Microbes (Carbon Currencies Microbes)


Abstract

This dataset includes information about samples and treatments analyzed with mass spectrometry. Bacteria Ruegeria pomeroyi DSS-3, Stenotrophomonas sp. SKA14, and Polaribacter dokdonensis MED152 were collected 8, 24, and 49 hours after individual inoculation into a diatom Thalassiosira psuedonana culture and resulting metabolites were analyzed. Raw data files are located at Metabolights, MetaboLights accession number MTBLS1751.

The study examined the ability of bacteria to draw down exometabolites from the culture medium as detected by novel approaches in mass spectrometry (MS). See related dataset on parallel experiments using nuclear magnetic resonance (NMR) analysis.This dataset includes information about samples and treatments analyzed with MS. Bacteria Ruegeria pomeroyi DSS-3, Stenotrophomonas sp. SKA14, and Polaribacter dokdonensis MED152 were collected 8, 24, and 49 hours after individual inoculation into a diatom Thalassiosira psuedonana culture and resulting metabolites were analyzed.

Raw data files are located at Metabolights, MetaboLights accession number MTBLS1751:
https://www.ebi.ac.uk/metabolights/MTBLS1751/files
https://www.ebi.ac.uk/metabolights/MTBLS1751/samples


Related Datasets

IsSupplementTo

Dataset: https://www.ebi.ac.uk/metabolights/MTBLS1751/samples
Frank Xavier Ferrer-González, Brittany Widner, Nicole Holderman, John Glushka, Arthur S Edison, Elizabeth B Kujawinski, Mary Ann Moran (2020) MTBLS1751: Resource Partitioning of Diatom Metabolites that Support Bacterial Heterotrophy in the Ocean (UPLC-MS assay) In: MetaboLights [Internet], EMBL-EBI, Wellcome Genome Campus, Hinxton, Cambridgeshire, CB10 1SD, UK. Available from: https://www.ebi.ac.uk/metabolights/MTBLS1751/samples, MetaboLights study: MTBLS1751.

Related Publications

Results

Ferrer-González, F. X., Widner, B., Holderman, N. R., Glushka, J., Edison, A. S., Kujawinski, E. B., & Moran, M. A. (2020). Resource partitioning of phytoplankton metabolites that support bacterial heterotrophy. The ISME Journal. doi:10.1038/s41396-020-00811-y
Methods

Henderson, C. M., Shulman, N. J., MacLean, B., MacCoss, M. J., & Hoofnagle, A. N. (2018). Skyline Performs as Well as Vendor Software in the Quantitative Analysis of Serum 25-Hydroxy Vitamin D and Vitamin D Binding Globulin. Clinical Chemistry, 64(2), 408–410. doi:10.1373/clinchem.2017.282293
Methods

Pino, L. K., Searle, B. C., Bollinger, J. G., Nunn, B., MacLean, B., & MacCoss, M. J. (2020). The Skyline ecosystem: Informatics for quantitative mass spectrometry proteomics. Mass Spectrometry Reviews, 39(3), 229–244. doi:10.1002/mas.21540