Simulation of Deepwater Horizon oil plume reveals substrate specialization within a complex community of hydrocarbon degraders

Hu, Ping; Dubinsky, Eric A.; Probst, Alexander J.; Wang, Jian; Sieber, Christian M.  K.; Tom, Lauren M.; Gardinali, Piero R.; Banfield, Jillian F.; Atlas, Ronald M.; Andersen, Gary L.

doi:10.1073/pnas.1703424114

Simulation of Deepwater Horizon oil plume reveals substrate specialization within a complex community of hydrocarbon degraders

Journal Article · Mon Jun 26 00:00:00 EDT 2017 · Proceedings of the National Academy of Sciences of the United States of America

DOI:https://doi.org/10.1073/pnas.1703424114· OSTI ID:1408445

Hu, Ping ^[1]; ^[2]; Probst, Alexander J. ^[3]; Wang, Jian ^[4]; Sieber, Christian M. K. ^[5]; Tom, Lauren M. ^[1]; Gardinali, Piero R. ^[4]; Banfield, Jillian F. ^[3]; Atlas, Ronald M. ^[6]; ^[2]

Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Ecology Dept.
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Ecology Dept.; Univ. of California, Berkeley, CA (United States). Dept. of Environmental Science, Policy and Managment
Univ. of California, Berkeley, CA (United States). Dept. of Earth and Planetary Science
Florida Intl Univ., Miami, FL (United States). Dept. of Chemistry and Biochemistry
Univ. of California, Berkeley, CA (United States). Dept. of Earth and Planetary Science; USDOE Joint Genome Institute (JGI), Walnut Creek, CA (United States)
Univ. of Louisville, KY (United States). Dept. of Biology

The Deepwater Horizon (DWH) accident released an estimated 4.1 million barrels of oil and 10¹0 mol of natural gas into the Gulf of Mexico, forming deep-sea plumes of dispersed oil droplets and dissolved gases that were largely degraded by bacteria. During the course of this 3-mo disaster a series of different bacterial taxa were enriched in succession within deep plumes, but the metabolic capabilities of the different populations that controlled degradation rates of crude oil components are poorly understood. We experimentally reproduced dispersed plumes of fine oil droplets in Gulf of Mexico seawater and successfully replicated the enrichment and succession of the principal oil-degrading bacteria observed during the DWH event. We recovered near-complete genomes, whose phylogeny matched those of the principal biodegrading taxa observed in the field, including the DWH Oceanospirillales (now identified as a Bermanella species), multiple species of Colwellia, Cycloclasticus, and other members of Gammaproteobacteria, Flavobacteria, and Rhodobacteria. Metabolic pathway analysis, combined with hydrocarbon compositional analysis and species abundance data, revealed substrate specialization that explained the successional pattern of oil-degrading bacteria. The fastest-growing bacteria used short-chain alkanes. The analyses also uncovered potential cooperative and competitive relationships, even among close relatives. We conclude that patterns of microbial succession following deep ocean hydrocarbon blowouts are predictable and primarily driven by the availability of liquid petroleum hydrocarbons rather than natural gases.

View Accepted Manuscript (DOE)

Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1408445

Journal Information:: Proceedings of the National Academy of Sciences of the United States of America, Journal Name: Proceedings of the National Academy of Sciences of the United States of America Journal Issue: 28 Vol. 114; ISSN 0027-8424

Publisher:: National Academy of Sciences, Washington, DC (United States)Copyright Statement

Country of Publication:: United States

Language:: English

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Simulation of Deepwater Horizon oil plume reveals substrate specialization within a complex community of hydrocarbon degraders

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