Evidence map›Paper›PMID 25197496›Full record

ArticleStandards in genomic sciences2014

Metagenomic analysis of microbial consortium from natural crude oil that seeps into the marine ecosystem offshore Southern California.

Erik R Hawley, Hailan Piao, Nicole M Scott, Stephanie Malfatti, Ioanna Pagani, Marcel Huntemann, Amy Chen, Tijana Glavina Del Rio, Brian Foster, Alex Copeland and 6 more

Open access · goldAbstract read
In one paragraph

Article in Standards in genomic sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
5.0field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 35 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 5 institutions in 1 country.

Erik R HawleyWashington State University Tri-Cities, Richland, WA, USA.
Hailan PiaoWashington State University Tri-Cities, Richland, WA, USA.
Nicole M ScottArgonne National Laboratory, Lemont, IL, USA.
Stephanie MalfattiLawrence Livermore National Laboratory, Biosciences and Biotechnology Division, Livermore, CA, USA.
Ioanna PaganiDOE Joint Genome Institute, Walnut Creek, CA, USA.
Marcel HuntemannDOE Joint Genome Institute, Walnut Creek, CA, USA.
Amy ChenDOE Joint Genome Institute, Walnut Creek, CA, USA.
Tijana Glavina Del RioDOE Joint Genome Institute, Walnut Creek, CA, USA.
Brian FosterDOE Joint Genome Institute, Walnut Creek, CA, USA.
Alex CopelandDOE Joint Genome Institute, Walnut Creek, CA, USA.
Janet JanssonDOE Joint Genome Institute, Walnut Creek, CA, USA ; Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Amrita PatiDOE Joint Genome Institute, Walnut Creek, CA, USA.
Susannah TringeDOE Joint Genome Institute, Walnut Creek, CA, USA ; Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Jack A GilbertArgonne National Laboratory, Lemont, IL, USA ; University of Chicago, Chicago, IL, USA.
Thomas D LorensonUSGS, Menlo Park, CA, USA.
Matthias HessWashington State University Tri-Cities, Richland, WA, USA ; DOE Joint Genome Institute, Walnut Creek, CA, USA ; Washington State University, Pullman, WA, USA ; Pacific Northwest National Laboratory, Chemical & Biological Process Development Group, Richland, WA, USA ; Environmental Molecular Sciences Laboratory, Richland, WA, USA.
Joint Genome Institute · USWashington State University Tri-Cities · USArgonne National Laboratory · USLawrence Livermore National Laboratory · USMenlo School · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crude oils can be major contaminants of the marine ecosystem and microorganisms play a significant role in the degradation of its main constituents. To increase our understanding of the microbial hydrocarbon degradation process in the marine ecosystem, we collected crude oil from an active seep area located in the Santa Barbara Channel (SBC) and generated a total of about 52 Gb of raw metagenomic sequence data. The assembled data comprised ~500 Mb, representing ~1.1 million genes derived primarily from chemolithoautotrophic bacteria. Members of Oceanospirillales, a bacterial order belonging to the Deltaproteobacteria, recruited less than 2% of the assembled genes within the SBC metagenome. In contrast, the microbial community associated with the oil plume that developed in the aftermath of the Deepwater Horizon (DWH) blowout in 2010, was dominated by Oceanospirillales, which comprised more than 60% of the metagenomic data generated from the DWH oil plume. This suggests that Oceanospirillales might play a less significant role in the microbially mediated hydrocarbon conversion within the SBC seep oil compared to the DWH plume oil. We hypothesize that this difference results from the SBC oil seep being mostly anaerobic, while the DWH oil plume is aerobic. Within the Archaea, the phylum Euryarchaeota, recruited more than 95% of the assembled archaeal sequences from the SBC oil seep metagenome, with more than 50% of the sequences assigned to members of the orders Methanomicrobiales and Methanosarcinales. These orders contain organisms capable of anaerobic methanogenesis and methane oxidation (AOM) and we hypothesize that these orders - and their metabolic capabilities - may be fundamental to the ecology of the SBC oil seep.

Indexed as

anaerobic methane oxidationarchaeabacteriaBioremediationcrude oilhydrocarbon-degradationmarine ecosystemmetagenomicsnatural oil seeps

Identifiers

PMID25197496
PMCPMC4149020
OpenAlexW1972378220

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.