Simulated crude oil seepage Caspian Sea Raw sequence reads

doi:10.15468/mufhte

Simulated crude oil seepage Caspian Sea Raw sequence reads

Citation

MGnify (2019). Simulated crude oil seepage Caspian Sea Raw sequence reads. Sampling event dataset https://doi.org/10.15468/mufhte accessed via GBIF.org on 2022-01-19.

Description

The response of the microbial community to a crude oil seepage simulated for 190 days under close-to-in situ conditions in a sediment core from Caspian Sea using a Sediment-Oil-Flow-Through (SOFT) system was studied by NGS sequencing. We hypothesize that specific taxa respond specifically to simulated crude oil seepage by an increase of their cell numbers resulting in a change of community composition.

Sampling Description

Sampling

The response of the microbial community to a crude oil seepage simulated for 190 days under close-to-in situ conditions in a sediment core from Caspian Sea using a Sediment-Oil-Flow-Through (SOFT) system was studied by NGS sequencing. We hypothesize that specific taxa respond specifically to simulated crude oil seepage by an increase of their cell numbers resulting in a change of community composition.

Method steps

Pipeline used: https://www.ebi.ac.uk/metagenomics/pipelines/4.1

Taxonomic Coverages

Geographic Coverages

Bibliographic Citations

Contacts

originator
Max Planck Institute for Marine Microbiology

metadata author
Max Planck Institute for Marine Microbiology

administrative point of contact
Max Planck Institute for Marine Microbiology