Evidence map›Paper›PMID 25689026›Full record

ArticleThe ISME journal2015

Microbial community successional patterns in beach sands impacted by the Deepwater Horizon oil spill.

Luis M Rodriguez-R, Will A Overholt, Christopher Hagan, Markus Huettel, Joel E Kostka, Konstantinos T Konstantinidis

Open access · bronzeAbstract read
In one paragraph

Article in The ISME journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
22.8field-weighted citation impact, top 1% 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

56 citing papers in PubMed, 171 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

6 authors at 2 institutions in 1 country.

Luis M Rodriguez-RSchool of Biology, Georgia Institute of Technology, Atlanta, GA, USA.
Will A OverholtSchool of Biology, Georgia Institute of Technology, Atlanta, GA, USA.
Christopher HaganDepartment of Earth, Ocean and Atmospheric Sciences, Florida State University, Tallahassee, FL, USA.
Markus HuettelDepartment of Earth, Ocean and Atmospheric Sciences, Florida State University, Tallahassee, FL, USA.
Joel E Kostka1] School of Biology, Georgia Institute of Technology, Atlanta, GA, USA [2] School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA.
Konstantinos T Konstantinidis1] School of Biology, Georgia Institute of Technology, Atlanta, GA, USA [2] School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Georgia Institute of Technology · USFlorida State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although petroleum hydrocarbons discharged from the Deepwater Horizon (DWH) blowout were shown to have a pronounced impact on indigenous microbial communities in the Gulf of Mexico, effects on nearshore or coastal ecosystems remain understudied. This study investigated the successional patterns of functional and taxonomic diversity for over 1 year after the DWH oil was deposited on Pensacola Beach sands (FL, USA), using metagenomic and 16S rRNA gene amplicon techniques. Gamma- and Alphaproteobacteria were enriched in oiled sediments, in corroboration of previous studies. In contrast to previous studies, we observed an increase in the functional diversity of the community in response to oil contamination and a functional transition from generalist populations within 4 months after oil came ashore to specialists a year later, when oil was undetectable. At the latter time point, a typical beach community had reestablished that showed little to no evidence of oil hydrocarbon degradation potential, was enriched in archaeal taxa known to be sensitive to xenobiotics, but differed significantly from the community before the oil spill. Further, a clear succession pattern was observed, where early responders to oil contamination, likely degrading aliphatic hydrocarbons, were replaced after 3 months by populations capable of aromatic hydrocarbon decomposition. Collectively, our results advance the understanding of how natural benthic microbial communities respond to crude oil perturbation, supporting the specialization-disturbance hypothesis; that is, the expectation that disturbance favors generalists, while providing (microbial) indicator species and genes for the chemical evolution of oil hydrocarbons during degradation and weathering.

Indexed as

Water MicrobiologyAlphaproteobacteriaBiodiversityEcosystemEnvironmental MonitoringEnvironmental PollutantsFloridaGammaproteobacteriaGulf of AmericaHydrocarbonsMetagenomicsPetroleumPetroleum PollutionRNA, Ribosomal, 16SSeasonsEnvironmental PollutantsHydrocarbonsPetroleumRNA, Ribosomal, 16S

Identifiers

PMID25689026
PMCPMC4542042
OpenAlexW1995859808

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.