Dataset: Net tow metaproteome of Trichodesmium species mapped to a Trichodesmium metagenome plus cyanoGEBA species genomes in units of normalized protein spectral counts from samples collected in the Atlantic and Pacific Ocean between 2000 and 2018

Final no updates expectedDOI: 10.26008/1912/bco-dmo.787147.1Version 1 (2020-04-30)Dataset Type:Cruise Results

Principal Investigator: Mak A. Saito (Woods Hole Oceanographic Institution)

Student: Noelle Held (Woods Hole Oceanographic Institution)

BCO-DMO Data Manager: Amber D. York (Woods Hole Oceanographic Institution)

Program: Marine Microbiology Initiative (MMI)

Project: Collaborative Research: Iron and phosphorus balanced limitation of nitrogen fixation in the oligotrophic ocean (TriCoLim)

Project: New technology for high resolution analysis of proteins and other organic materials produced by marine microorganisms (MM Proteins and Organics Tech)

Project: Marine Microbial Investigator Award: Investigator Mak Saito (MM Saito)

Project: Collaborative Research: Evolutionary, biochemical and biogeochemical responses of marine cyanobacteria to warming and iron limitation interactions (Cyanobacteria Warming Responses)

Abstract

Net tow metaproteome of Trichodesmium species mapped to a Trichodesmium metagenome plus cyanoGEBA species genomes, analyzed by 2D LC-MS/MS in units of normalized protein spectral counts. Samples were collected in North Atlantic surface waters, at station BATS (Bermuda Atlantic Time-series Study), and station ALOHA (A Long-Term Oligotrophic Habitat Assessment) between 2000 and 2018.

Cite Dataset

Net tow metaproteome of Trichodesmium species mapped to a Trichodesmium metagenome plus cyanoGEBA species genomes, analyzed by 2D LC-MS/MS in units of normalized protein spectral counts. Samples were collected in North Atlantic surface waters, at station BATS (Bermuda Atlantic Time-series Study), and station ALOHA (A Long-Term Oligotrophic Habitat Assessment) between 2000 and 2018.

An alternative form of these data are available as dataset:
"Trichodesmium field metaproteomes - protein spectral counts in alternative format" https://www.bco-dmo.org/dataset/787078

Related datasets:
Trichodesmium field metaproteomes - sequence fasta: https://www.bco-dmo.org/dataset/787181
Trichodesmium field metaproteomes - peptide spectral counts: https://www.bco-dmo.org/dataset/787168
Trichodesmium sample provenance: https://www.bco-dmo.org/dataset/787093 - Sample provenance file, which includes sample locations, filter sizes

Related Datasets

Different Version
Dataset: https://doi.org/10.26008/1912/bco-dmo.787078.1
Held, N., &amp; Saito, M. (2020). <i>Metaproteomes of Trichodesmium from samples collected in North Atlantic surface waters, station BATS, and station ALOHA between 2000 and 2018</i> [Data set]. Biological and Chemical Oceanography Data Management Office (BCO-DMO). https://doi.org/10.26008/1912/BCO-DMO.787078.1

Related Publications

Methods
Saito, M. A., McIlvin, M. R., Moran, D. M., Goepfert, T. J., DiTullio, G. R., Post, A. F., & Lamborg, C. H. (2014). Multiple nutrient stresses at intersecting Pacific Ocean biomes detected by protein biomarkers. Science, 345(6201), 1173–1177. https://doi.org/10.1126/science.1256450
Methods
Shih, P. M., Wu, D., Latifi, A., Axen, S. D., Fewer, D. P., Talla, E., … Kerfeld, C. A. (2012). Improving the coverage of the cyanobacterial phylum using diversity-driven genome sequencing. Proceedings of the National Academy of Sciences, 110(3), 1053–1058. doi:10.1073/pnas.1217107110

Saito, M. (2020) Net tow metaproteome of Trichodesmium species mapped to a Trichodesmium metagenome plus cyanoGEBA species genomes in units of normalized protein spectral counts from samples collected in the Atlantic and Pacific Ocean between 2000 and 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-04-30 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.787147.1 [access date]

Terms of Use

This dataset is licensed under Creative Commons Attribution 4.0.


If you wish to use this dataset, it is highly recommended that you contact the original principal investigators (PI). Should the relevant PI be unavailable, please contact BCO-DMO (info@bco-dmo.org) for additional guidance. For general guidance please see the BCO-DMO Terms of Use document.

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Funded by the U.S. National Science Foundation