| Title |
Metagenomics reveals sediment microbial community response to Deepwater Horizon oil spill
|
|---|---|
| Published in |
The ISME Journal, January 2014
|
| DOI | 10.1038/ismej.2013.254 |
| Pubmed ID | |
| Authors |
Olivia U Mason, Nicole M Scott, Antonio Gonzalez, Adam Robbins-Pianka, Jacob Bælum, Jeffrey Kimbrel, Nicholas J Bouskill, Emmanuel Prestat, Sharon Borglin, Dominique C Joyner, Julian L Fortney, Diogo Jurelevicius, William T Stringfellow, Lisa Alvarez-Cohen, Terry C Hazen, Rob Knight, Jack A Gilbert, Janet K Jansson |
| Abstract |
The Deepwater Horizon (DWH) oil spill in the spring of 2010 resulted in an input of ∼4.1 million barrels of oil to the Gulf of Mexico; >22% of this oil is unaccounted for, with unknown environmental consequences. Here we investigated the impact of oil deposition on microbial communities in surface sediments collected at 64 sites by targeted sequencing of 16S rRNA genes, shotgun metagenomic sequencing of 14 of these samples and mineralization experiments using (14)C-labeled model substrates. The 16S rRNA gene data indicated that the most heavily oil-impacted sediments were enriched in an uncultured Gammaproteobacterium and a Colwellia species, both of which were highly similar to sequences in the DWH deep-sea hydrocarbon plume. The primary drivers in structuring the microbial community were nitrogen and hydrocarbons. Annotation of unassembled metagenomic data revealed the most abundant hydrocarbon degradation pathway encoded genes involved in degrading aliphatic and simple aromatics via butane monooxygenase. The activity of key hydrocarbon degradation pathways by sediment microbes was confirmed by determining the mineralization of (14)C-labeled model substrates in the following order: propylene glycol, dodecane, toluene and phenanthrene. Further, analysis of metagenomic sequence data revealed an increase in abundance of genes involved in denitrification pathways in samples that exceeded the Environmental Protection Agency (EPA)'s benchmarks for polycyclic aromatic hydrocarbons (PAHs) compared with those that did not. Importantly, these data demonstrate that the indigenous sediment microbiota contributed an important ecosystem service for remediation of oil in the Gulf. However, PAHs were more recalcitrant to degradation, and their persistence could have deleterious impacts on the sediment ecosystem. |
X Demographics
The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 35% |
| United Kingdom | 3 | 13% |
| Cameroon | 1 | 4% |
| Canada | 1 | 4% |
| Singapore | 1 | 4% |
| Netherlands | 1 | 4% |
| Switzerland | 1 | 4% |
| France | 1 | 4% |
| Germany | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 5 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 14 | 61% |
| Members of the public | 8 | 35% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 607 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 1% |
| Brazil | 5 | <1% |
| Germany | 2 | <1% |
| Spain | 2 | <1% |
| Portugal | 2 | <1% |
| Australia | 2 | <1% |
| Canada | 2 | <1% |
| Argentina | 2 | <1% |
| Mexico | 2 | <1% |
| Other | 9 | 1% |
| Unknown | 572 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 146 | 24% |
| Researcher | 116 | 19% |
| Student > Master | 99 | 16% |
| Student > Bachelor | 48 | 8% |
| Student > Doctoral Student | 36 | 6% |
| Other | 83 | 14% |
| Unknown | 79 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 235 | 39% |
| Environmental Science | 88 | 14% |
| Biochemistry, Genetics and Molecular Biology | 77 | 13% |
| Earth and Planetary Sciences | 28 | 5% |
| Engineering | 18 | 3% |
| Other | 56 | 9% |
| Unknown | 105 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 75. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 April 2018.
All research outputs
#574,408
of 25,457,858 outputs
Outputs from The ISME Journal
#141
of 3,273 outputs
Outputs of similar age
#5,789
of 321,076 outputs
Outputs of similar age from The ISME Journal
#1
of 62 outputs
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