Abstract:

Arctic seawater was collected from two locations (nearshore and offshore) and laboratory mesocosms were conducted to assess the extent of degradation to Alaska North Slope crude oil and the surfactant components of Corexit 9500 (DOSS, Span 80, Tween 80 and Tween 85) and to assess changes in the microbial community, specifically bacterial community structure (16S rRNA genes) and abundance of biodegradation genes (GeoChip 5.0 microarray). This dataset supports the publication: McFarlin, K. M., Perkins, M. J., Field, J. A., & Leigh, M. B. (2018). Biodegradation of Crude Oil and Corexit 9500 in Arctic Seawater. Frontiers in Microbiology, 9. doi:10.3389/fmicb.2018.01788

Suggested Citation:

Jennifer Field, Matt Perkins. 2018. Dataset for: Biodegradation of Crude Oil and Corexit 9500 in Arctic seawater. Distributed by: GRIIDC, Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N7XW4GWQ

Publications:

McFarlin, K. M., Perkins, M. J., Field, J. A., & Leigh, M. B. (2018). Biodegradation of Crude Oil and Corexit 9500 in Arctic Seawater. Frontiers in Microbiology, 9. doi:10.3389/fmicb.2018.01788

Purpose:

Arctic seawater was collected from two locations (nearshore and offshore) and laboratory mesocosms were conducted to assess the extent of degradation to Alaska North Slope crude oil and the surfactant components of Corexit 9500 (DOSS, Span 80, Tween 80 and Tween 85) and to assess changes in the microbial community.

Data Parameters and Units:

Abundance of petroleum biodegradation genes.csv: Normalized signal intensity (%) of petroleum biodegradation genes. Gene (alkb, pchcf, or nag), %, Sample ID (day-treatment-replicate, e.g. 28-Cor r3 = day 28 with Corexit replicate 3. N = no oil or Corexit, O = oil, Cor = Corexit). Experimental-design-of-mesocosm-incubation.xlsx: experimental information for September offshore (oil and seawater), October offshore (oil and seawater) (Corexit and seawater), August near-shore (Corexit and seawater). McFarlin Offshore Corexit.csv: Sample ID (Day, Replicate), DOSS (ug/L), EHSS (ug/L), Span 80 (ug/L), tween 80 and 85 ug/L. McFarlin Nearshore Corexit.csv: External ID (Day, Replicate, OSU ID, DOSS (ug/L), EHSS (ug/L), Span 80 (ug/L), Tween 80 and 85 ug/L. McFarlin_BioDeg MS Data_ECOGIG_updated.xlsx: mean relative abundance of bacterial taxa, genera, petroleum biodegradation genes. Experiment (Offshore, near-shore), Genera, Initial, Sample ID, gene. Oil loss worksheet: percent loss of measurable hydrocarbons in Arctic surface seawater. percent loss hydrocarbons.csv: Data are presented as Experiment (September or near-shore), Sample ID (day-replicate), percent loss of total measurable hydrocarbons (%). prokaryotic abundance.csv: Prokaryotic abundance determined via qPCR for offshore and nearshore experiments are presented. Experiment (Offshore or Nearshore), Sample ID (day-treatment-replicate, e.g. 28-Cor r3 = day 28 with Corexit replicate 3. N = no oil or Corexit, O = oil, Cor = Corexit), copies of 16S rRNA per 800-mL seawater, metric (average, standard deviation), average of replicates. Relative abundance of Colwelliaceae.csv: Relative abundance of bacterial sequences classified in the Colwelliaceae family. Experiment (Offshore or Nearshore), OTU (12, 19, 21 or other), relative abundance (%) and sample ID (day-treatment-replicate, e.g. 28-Cor r3 = day 28 with Corexit replicate 3. N = no oil or Corexit, O = oil, Cor = Corexit). Relative abundance of genera.csv: Relative abundance of bacterial sequences as a portion of mean prokaryotic abundance in offshore and near-shore experiments is presented. Experiment (Offshore or Nearshore), Genera, Initial, Sample ID (day-treatment-replicate, e.g. 28-Cor r3 = day 28 with Corexit replicate 3. N = no oil or Corexit, O = oil, Cor = Corexit), abundance of genera relative mean prokaryotic abundance. NA = not applicable because the experimental condition was not part of the experiment.

Methods:

The data describes three experiments. In the first experiment (offshore/September), surface water was collected in September 2013 from the Burger lease area (71.1050° N, -162.2668° W). Oil-only mesocosms were initiated within 48hrs. Whole mesocosms were sacrificed in triplicate on days 0, 5, 10, and 28 and analyzed for total petroleum hydrocarbons (TPH) by gas chromatography-flame ionization detector (GC-FID). In the second experiment (offshore/October), surface water was also collected from the Burger lease area. Water was collected in October of 2013, and oil-only ad Corexit-only mesocosms were initiated within 48hrs. Whole mesocosms were sacrifices in duplicate or triplicate. Oil-only microcosms were sacrificed at days 0, 5, 10, and 28 and analyzed for TPH by GC-FID. Separate oil-only mesocosms also underwent microbial analysis (Quantitative real time PCR, 16S rRNA sequencing, and functional gene analysis). Corexit-only mesocosms were sacrificed on day 0 and 28 and analyzed for the Corexit surfactants by LC-MS/MS. Separate Corexit-only mesocosms underwent microbial analysis. In the third experiment (nearshore/August) , surface water was collected in August 2014 ~1 km from Utqiagvik/Barrow Alaska (71.3647° N, -156.5241° W). Corexit-only mesocosms were initiated within 48 hours and whole mesocosms were sacrificed on days 0,10, 28, and 60 and analyzed by LC-MS/MS. Separate Corexit-only mesocosms underwent microbial analysis. Incubations were conducted in 1-L small-mouth glass bottles, with caps tilted to allow air exchange. Each mesocosm contained 800 mL of Arctic surface seawater, and either ANS crude oil (15 mg/L) or Corexit 9500 (15 mg/L) directly added to the surface of the seawater. As a control, we also incubated seawater in the absence of oil or Corexit to reveal bottle-associated microbial community shifts. Incubations were constantly stirred using magnetic stir bars (Teflon coated; no vortex) at 2°C in a cold room with an 8-hour/day light cycle (8.88 µmol s-1 m-2; LI-COR light meter, LI-250, Quantum Sensor, Lincoln, NE).

Instruments:

Agilent 1100 LC, Waters Acquity TQD MS.

Individual Files: