Dataset: Geochemistry and microscopy from incubation experiments of Chesapeake Bay sediments conducted at Horn Point Laboratory

ValidatedFinal no updates expectedDOI: 10.26008/1912/bco-dmo.883171.1Version 1 (2022-11-02)Dataset Type:Other Field ResultsDataset Type:experimental

Principal Investigator: Sairah Malkin (University of Maryland Center for Environmental Science)

BCO-DMO Data Manager: Shannon Rauch (Woods Hole Oceanographic Institution)

Project: Collaborative Research: Probing the Metabolic and Electrical Interactions of Cable Bacteria in Anoxic Sediments (Anoxic Sediment Bacteria Interactions)

Abstract

These data were collected as part of a sediment incubation experiment, to investigate potential interactions between estuarine cable bacteria and their associated microbial community. Sediments were collected from the main channel of Chesapeake Bay at a mesohaline station that experiences seasonal oxygen depletion. The upper 10 centimeters (cm) of sediment was homogenized under anaerobic conditions, packed into polycarbonate core liners, and incubated in a dark climate-controlled room in aerated...

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Cite Dataset

This is the first of 4 datasets associated with "Incubation Experiment (Liau) CB Sediments". There is additionally an amplicon dataset (16S rRNA gene, RNA and DNA) associated with this experiment: NCBI Sequence Read Archive, under BioProject PRJNA833464, accession numbers SAMN27993143 to SAMN27993196. The NCBI data will not be publicly available in May 2023.

Related Datasets

IsRelatedTo
Dataset: Microsensor Profiling H2S
Malkin, S. (2022) H2S microsensor profiling conducted alongside the destructive sampling of Chesapeake Bay sediments during incubation experiments at Horn Point Lab. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-11-09 doi:10.26008/1912/bco-dmo.883506.1
IsRelatedTo
Dataset: Microsensor Profiling O2
Malkin, S. (2022) O2 microsensor profiling conducted alongside the destructive sampling of Chesapeake Bay sediments during incubation experiments at Horn Point Lab. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-11-08 doi:10.26008/1912/bco-dmo.883412.1
IsRelatedTo
Dataset: Microsensor Profiling pH
Malkin, S. (2022) pH microsensor profiling conducted alongside the destructive sampling of Chesapeake Bay sediments during incubation experiments at Horn Point Lab. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-11-09 doi:10.26008/1912/bco-dmo.883488.1

Related Publications

Results
Liau, P., Kim, C., Saxton, M. A., & Malkin, S. Y. (2022). Microbial succession in a marine sediment: Inferring interspecific microbial interactions with marine cable bacteria. Environmental Microbiology. Portico. https://doi.org/10.1111/1462-2920.16230
Methods
Kallmeyer, J., Smith, D. C., Spivack, A. J., & D’Hondt, S. (2008). New cell extraction procedure applied to deep subsurface sediments. Limnology and Oceanography: Methods, 6(6), 236–245. doi:10.4319/lom.2008.6.236
Methods
Lunau, M., Lemke, A., Walther, K., Martens-Habbena, W., & Simon, M. (2005). An improved method for counting bacteria from sediments and turbid environments by epifluorescence microscopy. Environmental Microbiology, 7(7), 961–968. https://doi.org/10.1111/j.1462-2920.2005.00767.x
Methods
Malkin, S. Y., Liau, P., Kim, C., Hantsoo, K. G., Gomes, M. L., & Song, B. (2022). Contrasting controls on seasonal and spatial distribution of marine cable bacteria (Candidatus Electrothrix) and Beggiatoaceae in seasonally hypoxic Chesapeake Bay. Limnology and Oceanography, 67(6), 1357–1373. Portico. https://doi.org/10.1002/lno.12087

Malkin, S. (2022) Geochemistry and microscopy from incubation experiments of Chesapeake Bay sediments conducted at Horn Point Laboratory. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-11-02 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.883171.1 [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