Dataset: Trichodesmium sample provenance from samples collected in North Atlantic surface waters, station BATS, and station ALOHA between 2000 and 2018

Final no updates expectedDOI: 10.26008/1912/bco-dmo.787093.1Version 1 (2020-01-10)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

Trichodesmium sample provenance 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

Trichodesmium sample provenance 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. These results were published in Held et al. (2020).

Related Datasets:
Trichodesmium Metaproteomes: https://www.bco-dmo.org/dataset/787078
Trichodesmium single colonies metaproteomes: https://www.bco-dmo.org/dataset/786694
Trichodesmium field metaproteomes - peptide spectral counts: https://www.bco-dmo.org/dataset/787168
Trichodesmium field metaproteomes - protein spectral counts: https://www.bco-dmo.org/dataset/787147
Trichodesmium field metaproteomes - sequence fasta: https://www.bco-dmo.org/dataset/787181

Related Datasets

IsSupplementTo
Dataset: Trichodesmium field metaproteomes - single colony metaproteomes
Relationship Description: Sample provenance file, which includes sample locations, filter sizes.
Saito, M. A. (2020) Single colony metaproteomes of Trichodesmium from samples collected in North Atlantic surface waters during the R/V Atlantis cruise AT39-05 in March of 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-01-10 doi:10.26008/1912/bco-dmo.786694.1

Related Publications

General
Held, N. A., Webb, E. A., McIlvin, M. M., Hutchins, D. A., Cohen, N. R., Moran, D. M., … Saito, M. A. (2020). Co-occurrence of Fe and P stress in natural populations of the marine diazotroph Trichodesmium. doi:10.5194/bg-2019-493
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) Trichodesmium sample provenance from samples collected in North Atlantic surface waters, station BATS, and station ALOHA between 2000 and 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2020-01-10 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.787093.1 [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