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 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
- Pipeline used: https://www.ebi.ac.uk/metagenomics/pipelines/4.1
Taxonomic Coverages
Geographic Coverages
Bibliographic Citations
- 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
originatorMax Planck Institute for Marine Microbiology
metadata author
Max Planck Institute for Marine Microbiology
administrative point of contact
Max Planck Institute for Marine Microbiology