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Simulated crude oil seepage Caspian Sea Raw sequence reads

Dataset homepage

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 2023-01-26.

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

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

Taxonomic Coverages

Geographic Coverages

Bibliographic Citations

  1. Stagars MH, Mishra S, Treude T, Amann R, Knittel K. 2017. Microbial Community Response to Simulated Petroleum Seepage in Caspian Sea Sediments. Front Microbiol vol. 8 - DOI:10.3389/fmicb.2017.00764

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
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