Dataset: Flow cytometry, 16S rRNA gene amplicons, chlorophyll a, and surface seawater measurements taken between August 2017 to June 2019 Kāneʻohe Bay, Oʻahu, Hawaiʻi

Final no updates expectedDOI: 10.26008/1912/bco-dmo.930084.1Version 1 (2024-08-30)Dataset Type:Other Field Results

Principal Investigator: Michael S. Rappé (University of Hawaiʻi at Mānoa)

Scientist: Kelle C. Freel (University of Hawaiʻi at Mānoa)

Scientist: Yoshimi M. Rii (University of Hawaiʻi at Mānoa)

Student: Elizabeth A. Monaghan (University of Hawaiʻi at Mānoa)

Student: Oscar Ramfelt (University of Hawaiʻi at Mānoa)

Student: Clarisse E.S. Sullivan (University of Hawaiʻi at Mānoa)

Student, Contact: Sarah J. Tucker (University of Hawaiʻi at Mānoa)

BCO-DMO Data Manager: Karen Soenen (Woods Hole Oceanographic Institution)

Project: Population genomics and ecotypic divergence in the most dominant lineage of marine bacteria (Pelagibacteromics)

Abstract

These data include temperature, pH, salinity, chlorophyll a concentrations, cellular abundances of Prochlorococcus, Synechococcus, photosynthetic picoeukaryotes, and heterotrophic bacteria, and 16S ribosomal RNA gene amplicon libraries from 200 surface seawater samples collected as part of the Kāneʻohe Bay Time-series (KByT). Near-monthly sampling of surface seawater was conducted between August 2017 to June 2019 at 10 sites within coastal waters of Kāneʻohe Bay, Oʻahu, Hawaiʻi and in the adjace...

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Other Grants:
* "National Science Foundation Graduate Research Fellowship Program" (Grant ID 1842402, National Science Foundation)
* "NOAA Margaret A. Davidson Fellowship" (Grant ID NA20NOS4200123, National Oceanic and Atmospheric Administration)

Related Datasets

IsRelatedTo
Dataset: http://www.ncbi.nlm.nih.gov/bioproject/PRJNA706753
University of Hawaii at Manoa. Spatial and temporal dynamics of SAR11 marine bacteria sampled across a nearshore to offshore transect in the tropical Pacific Ocean. 2021/03. In: BioProject [Internet]. Bethesda, MD: National Library of Medicine (US), National Center for Biotechnology Information; 2011-. Available from: http://www.ncbi.nlm.nih.gov/bioproject/PRJNA706753. NCBI:BioProject: PRJNA706753.

Related Publications

Results
Tucker, S. J., Freel, K. C., Monaghan, E. A., Sullivan, C. E. S., Ramfelt, O., Rii, Y. M., & Rappé, M. S. (2021). Spatial and temporal dynamics of SAR11 marine bacteria across a nearshore to offshore transect in the tropical Pacific Ocean. PeerJ, 9, e12274. Portico. https://doi.org/10.7717/peerj.12274
Results
Tucker, S. J., Rii, Y. M., Freel, K. C., Kotubetey, K., Kawelo, A. H., Winter, K. B., & Rappe, M. S. (2024). Sharp transitions in phytoplankton communities across estuarine to open ocean waters of the tropical Pacific. https://doi.org/10.1101/2024.05.23.595464
Methods
Becker, J. W., Brandon, M. L., & Rappe, M. S. (2007). Cultivating Microorganisms from Dilute Aquatic Environments: Melding Traditional Methodology with New Cultivation Techniques and Molecular Methods. Manual of Environmental Microbiology, 399–406. Portico. https://doi.org/10.1128/9781555815882.ch32
Methods
Monger, B. C., & Landry, M. R. (1993). Flow Cytometric Analysis of Marine Bacteria with Hoechst 33342 †. Applied and Environmental Microbiology, 59(3), 905–911. doi:10.1128/aem.59.3.905-911.1993
Methods
Parada, A. E., Needham, D. M., & Fuhrman, J. A. (2015). Every base matters: assessing small subunit rRNA primers for marine microbiomes with mock communities, time series and global field samples. Environmental Microbiology, 18(5), 1403–1414. doi:10.1111/1462-2920.13023

Tucker, S. J., Freel, K. C., Monaghan, E. A., Sullivan, C. E., Ramfelt, O., Rii, Y. M., Rappé, M. S. (2024) Flow cytometry, 16S rRNA gene amplicons, chlorophyll a, and surface seawater measurements taken between August 2017 to June 2019 Kāneʻohe Bay, Oʻahu, Hawaiʻi. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-08-30 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.930084.1 [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