4.7 Article

Identification of microbial key-indicators of oil contamination at sea through tracking of oil biotransformation: An Arctic field and laboratory study

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 696, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.scitotenv.2019.133715

关键词

Crude oil; Seawater; Pollution; Microbial molecular markers; Biomonitoring; Oleispira; Colwellia

资金

  1. Research Council of Norway [215598]
  2. ConocoPhillips Norway AS
  3. Lundin Norge AS

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In this paper, a molecular analytical approach for detecting hydrocarbonoclastic bacteria in water is suggested as a proxy measurement for tracking petroleum discharges in industrialized or pristine aquatic environments. This approach is tested for general application in cold marine regions (freezing to 5 degrees C). We used amplicon sequencing and qPCR to quantify 16S rRNA and GyrB genes from oleophilic bacteria in seawater samples from two different crude oil enrichments. The first experiment was conducted in a controlled environment using laboratory conditions and natural North Sea fjord seawater (NSC) at a constant temperature of 5 degrees C. The second was performed in the field with natural Arctic seawater (ARC) and outdoor temperature conditions from -7 degrees C to around 4 degrees C. Although the experimental conditions for NSC and ARC differed, the temporal changes in bacterial communities were comparable and reflected oil biotransformation processes. The common bacterial OTUs for NSC and ARC had the highest identity to Colwellia rossensis and Oleispira antarctica rRNA sequences and were enriched within a few days in both conditions. Other typical oil degrading bacteria such as Alcanivorax (n-alkane degrader) and Cycloclasticus (polycyclic aromatic hydrocarbons degrader) were rapidly enriched only in NSC conditions. Both the strong correlation between Oleispira SSU gene copies and oil concentration, and the specificity of the Oleispira assay suggest that this organism is a robust bioindicator for seawater contaminated by petroleum in cold water environments. Further optimization for automation of the Oleispira assay for in situ analysis with a genosensing device is underway. The assay for Colwellia quantification requires more specificity to fewer Colwellia OTUs and a well-established dose-response relationship before those taxa are used for oil tracking purposes. (C) 2019 Elsevier B.V. All rights reserved.

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