Dataset: Metatranscriptome sequence NCBI accessions from samples collected during the SIMCO 1 & 2 incubation experiments, July & Oct 2014

ValidatedFinal no updates expectedVersion 1.1 (2025-02-25)Dataset Type:experimental

Principal Investigator: Mary Ann Moran (University of Georgia)

BCO-DMO Data Manager: Nancy Copley (Woods Hole Oceanographic Institution)


Project: High Resolution Linkages Between DOC Turnover and Bacterioplankton in a Coastal Ocean (SIMCO)


Abstract

This dataset includes metatranscriptome sequence accessions from samples collected during the SIMCO 1 & 2 incubation experiments, July & Oct 2014, with links to the NCBI SRA pages.

This dataset includes metatranscriptome sequence accessions and links to the NCBI SRA pages.


Related Datasets

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Related Publications

Methods, Results

Vorobev, A., Sharma, S., Yu, M., Lee, J., Washington, B. J., Whitman, W. B., … Moran, M. A. (2018). Identifying labile DOM components in a coastal ocean through depleted bacterial transcripts and chemical signals. Environmental Microbiology, 20(8), 3012–3030. doi:10.1111/1462-2920.14344
Methods

Corilo, Y. (2015) PetroOrg Software; Florida State University: Tallahassee, FL, 2014.
Methods

Dittmar, T., Koch, B., Hertkorn, N., & Kattner, G. (2008). A simple and efficient method for the solid-phase extraction of dissolved organic matter (SPE-DOM) from seawater. Limnology and Oceanography: Methods, 6(6), 230–235. doi:10.4319/lom.2008.6.230
Methods

Gifford, S. M., Sharma, S., Booth, M., & Moran, M. A. (2013). Expression patterns reveal niche diversification in a marine microbial assemblage. The ISME Journal, 7(2), 281–298. doi:10.1038/ismej.2012.96
Methods

Gifford, S. M., Sharma, S., Rinta-Kanto, J. M., & Moran, M. A. (2011). Quantitative analysis of a deeply sequenced marine microbial metatranscriptome. The ISME Journal, 5(3), 461–472. doi:10.1038/ismej.2010.141