Dataset: Metagenomic, metatranscriptomic, and single cell sequencing data from an Environmental Sample Processor deployment in Monterey Bay, CA in 2016.

Final no updates expectedDOI: 10.26008/1912/bco-dmo.753343.2Version 2 (2020-03-20)Dataset Type:Other Field Results

Principal Investigator: Mary Ann Moran (University of Georgia)

Co-Principal Investigator: Brent Nowinski (University of Georgia)

BCO-DMO Data Manager: Mathew Biddle (Woods Hole Oceanographic Institution)


Program: Dimensions of Biodiversity (Dimensions of Biodiversity)

Project: Bacterial Taxa that Control Sulfur Flux from the Ocean to the Atmosphere (OceanSulfurFluxBact)


Abstract

These metagenomic and metatranscriptomic time-series data cover a 52-day period in the fall of 2016 during an intense bloom of the dinoflagellate Akashiwo sanguinea in Monterey Bay, CA, USA. The dataset comprises 84 metagenomes, 82 metatranscriptomes, and 88 16S rRNA amplicon libraries that capture the functions and taxonomy the bacterial and archaeal community. In addition, 88 18S rRNA amplicon libraries describe the taxonomy of the eukaryotic community during the bloom. Microbial cells were co...

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These metagenomic and metatranscriptomic time-series data cover a 52-day period in the fall of 2016 during an intense bloom of the dinoflagellate Akashiwo sanguinea in Monterey Bay, CA, USA. The dataset comprises 84 metagenomes, 82 metatranscriptomes, and 88 16S rRNA amplicon libraries that capture the functions and taxonomy the bacterial and archaeal community. In addition, 88 18S rRNA amplicon libraries describe the taxonomy of the eukaryotic community during the bloom. Microbial cells were collected at station M0 using the moored autonomous robotic Environmental Sample Processor (ESP) instrument and preserved with RNAlater in the instrument until retrieval.


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