Dataset: Biological oceanographic measurements, 16S rRNA gene amplicons and metagenomes from surface seawater taken from August 2017 to June 2021 at sites within and adjacent to Kāneʻohe Bay, Oʻahu, Hawaiʻi

Final no updates expectedDOI: 10.26008/1912/bco-dmo.930163.1Version 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: A. Hiʻilei Kawelo (Paepae o He'eia)

Scientist: Keliʻiahonui Kotubetey (Paepae o He'eia)

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

Scientist, Scientist: Kawika B. Winter (He'eia National Estuarine Research Reserve)

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,16S ribosomal RNA gene amplicon libraries, metagenomes, inorganic nutrient concentrations, and photosynthetic pigment measurements via high performance liquid chromatography from surface seawater samples collected as part of the Kāneʻohe Bay Time-series (KByT). This dataset reflects near-monthly sampling of su...

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Cite Dataset

The current dataset includes and expands upon the data collected from samples that were previously published in the PeerJ paper (Tucker at al., 2021). We would like to note that in this current dataset flow cytometry for all samples collected between 2017-2021 were measured using the Beckman Coulter CytoFLEX S. In the PeerJ publication of the 2017-2019 KByT dataset (see related dataset), the flow cytometry measures were conducted with the EPICS ALTRA flow cytometer. Thus intercomparison between the 2017-2019 dataset and this 2017-2021 dataset will show differences in cellular abundances reported. 

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)

 

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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
Bidigare, R., Schofield, O., & Prezelin, B. (1989). Influence of zeaxanthin on quantum yield of photosynthesis of Synechococcus clone WH7803 (DC2). Marine Ecology Progress Series, 56, 177–188. https://doi.org/10.3354/meps056177
Methods
Mantoura, R. F. C., & Llewellyn, C. A. (1983). The rapid determination of algal chlorophyll and carotenoid pigments and their breakdown products in natural waters by reverse-phase high-performance liquid chromatography. Analytica Chimica Acta, 151, 297–314. https://doi.org/10.1016/s0003-2670(00)80092-6
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

Tucker, S. J., Rii, Y. M., Freel, K. C., Kotubetey, K., Kawelo, A. H., Winter, K. B., Rappé, M. S. (2024) Biological oceanographic measurements, 16S rRNA gene amplicons and metagenomes from surface seawater taken from August 2017 to June 2021 at sites within and adjacent to 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.930163.1 [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