Transcriptome-wide responses of the diatom Odontella aurita during marine oil snow aggregation

Phytoplankton aggregates played an important role in the formation of marine oil snow after the Deepwater Horizon oil spill event of 2010. The molecular response of phytoplankton aggregates in response to oil is poorly characterized. Here we use RNAseq to analyze the transcriptome-wide responses of aggregates of the marine diatom Odontella aurita exposed to two different types of oil (Macondo and Refugio) in a roller table experiment. O. aurita was incubated in quadruplet roller tanks at 22 °C in Macondo and Refugio oil (1% vol: vol).</p><p>The goal of this project is to monitor the composition and structure of microbial communities over time as they respond to the oil and explore the relationships between hydrocarbon-degrading prokaryotes and phytoplankton. Data collected in the project will help elucidate the role microorganisms in the aggregation, dispersion, and degradation of oil in marine environments?

Identifier
Source https://data.blue-cloud.org/search-details?step=~01241B1F3F929314F3D2C67264BFF0E0F6D5D970BC5
Metadata Access https://data.blue-cloud.org/api/collections/41B1F3F929314F3D2C67264BFF0E0F6D5D970BC5
Provenance
Instrument Illumina HiSeq 2500; ILLUMINA
Publisher Blue-Cloud Data Discovery & Access service; ELIXIR-ENA
Contributor Mount Allison University
Publication Year 2024
OpenAccess true
Contact blue-cloud-support(at)maris.nl
Representation
Discipline Marine Science
Spatial Coverage (-94.768W, 29.261S, -94.768E, 29.261N)
Temporal Point 2015-12-01T00:00:00Z