Evidence map›Paper›PMID 34088976›Full record

ArticleThe ISME journal2021

Beach sand oil spills select for generalist microbial populations.

Patrick Heritier-Robbins, Smruthi Karthikeyan, Janet K Hatt, Minjae Kim, Markus Huettel, Joel E Kostka, Konstantinos T Konstantinidis, Luis M Rodriguez-R

Abstract read
In one paragraph

Article in The ISME journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

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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

8 authors.

Patrick Heritier-RobbinsSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA.ORCID http://orcid.org/0000-0002-6905-0191
Smruthi KarthikeyanSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA.ORCID http://orcid.org/0000-0001-6226-4536
Janet K HattSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Minjae KimSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Markus HuettelDepartment of Earth, Ocean and Atmospheric Sciences, Florida State University, Tallahassee, FL, USA.ORCID http://orcid.org/0000-0003-4844-7525
Joel E KostkaSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.ORCID http://orcid.org/0000-0003-3051-1330
Konstantinos T KonstantinidisSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA. kostas@ce.gatech.edu.ORCID http://orcid.org/0000-0002-0954-4755
Luis M Rodriguez-RSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA. lmrodriguezr@gmail.com.ORCID http://orcid.org/0000-0001-7603-3093

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The specialization-disturbance hypothesis predicts that, in the event of a disturbance, generalists are favored, while specialists are selected against. This hypothesis has not been rigorously tested in microbial systems and it remains unclear to what extent it could explain microbial community succession patterns following perturbations. Previous field observations of Pensacola Beach sands that were impacted by the Deepwater Horizon (DWH) oil spill provided evidence in support of the specialization-disturbance hypothesis. However, ecological drift as well as uncounted environmental fluctuations (e.g., storms) could not be ruled out as confounding factors driving these field results. In this study, the specialization-disturbance hypothesis was tested on beach sands, disturbed by DWH crude oil, ex situ in closed laboratory advective-flow chambers that mimic in situ conditions in saturated beach sediments. The chambers were inoculated with weathered DWH oil and unamended chambers served as controls. The time series of shotgun metagenomic and 16S rRNA gene amplicon sequence data from a two-month long incubation showed that functional diversity significantly increased while taxonomic diversity significantly declined, indicating a decrease in specialist taxa. Thus, results from this laboratory study corroborate field observations, providing verification that the specialization-disturbance hypothesis can explain microbial succession patterns in crude oil impacted beach sands.

Indexed as

PetroleumPetroleum PollutionMetagenomicsRNA, Ribosomal, 16SSandPetroleumRNA, Ribosomal, 16SSand

Identifiers

PMID34088976
PMCPMC8528907

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Registered trials

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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.