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Dataset for: Draft Genome Sequences for Oil-Degrading Bacterial Strains from Beach Sands Impacted by the Deepwater Horizon Oil Spill

Authors: Overholt, Will
Published On: Sep 22 2014 01:29 UTC
DOI: https://doi.org/10.7266/N76W982V
UDI: R1.x138.079:0053
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Project Information

Funded By:
Gulf of Mexico Research Initiative

Funding Cycle:
RFP-I

Research Group:
Deepsea to Coast Connectivity in the Eastern Gulf of Mexico (DEEP-C)

Point of Contact

Will Overholt
Georgia Institute of Technology / School of Earth and Atmospheric Sciences
waoverholt@gmail.com

Data Collection Period
2010-06-03
to
2010-07-30
Theme keywords

Ecology, Community Composition, Molecular Biology

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Abstract:

We report the draft genome sequences of 10 proteobacterial strains isolated from beach sands contaminated with crude oil discharged from the Deepwater Horizon spill, which were cultivated under aerobic and anaerobic conditions with crude oil as the sole carbon source. All strains contain multiple putative genes belonging to hydrocarbon degradation pathways.

Suggested Citation:

Overholt, Will. 2014. Dataset for: Draft Genome Sequences for Oil-Degrading Bacterial Strains from Beach Sands Impacted by the Deepwater Horizon Oil Spill. Distributed by: GRIIDC, Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N76W982V

Publications:

Overholt, W. A., Green, S. J., Marks, K. P., Venkatraman, R., Prakash, O., & Kostka, J. E. (2013). Draft Genome Sequences for Oil-Degrading Bacterial Strains from Beach Sands Impacted by the Deepwater Horizon Oil Spill. Genome Announcements, 1(6), e01015–13–e01015–13. doi:10.1128/genomea.01015-13

Purpose:

To evaluate the biological diversity and trophic interactions among organisms ranging from primary producers to apex predators and from the deep-sea benthos to the coast. These data contribute to a food web model used to determine risks to ecosystem structure and function and regional economies following from extreme anthropogenic events (e.g., discharged and background hydrocarbon) and adaptive management strategies.

Data Parameters and Units:

Nucleotide , WGS master, Protein Sequences