Evidence map›Paper›PMID 33354414›Full record

ArticlePeerJ2020

Characterization of sediment microbial communities at two sites with low hydrocarbon pollution in the southeast Gulf of Mexico.

Pablo Suárez-Moo, Araceli Lamelas, Itza Garcia-Bautista, Luis Felipe Barahona-Pérez, Gloria Sandoval-Flores, David Valdes-Lozano, Tanit Toledano-Thompson, Erik Polanco-Lugo, Ruby Valdez-Ojeda

Abstract read
In one paragraph

Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

9 authors.

Pablo Suárez-Moo *Red de Estudios Moleculares Avanzados, Instituto de Ecología, Xalapa, Veracruz, Mexico.
Araceli Lamelas *Red de Estudios Moleculares Avanzados, Instituto de Ecología, Xalapa, Veracruz, Mexico.
Itza Garcia-BautistaUnidad de Energia Renovable, Centro de Investigacion Cientifica de Yucatan, Merida, Yucatan, Mexico.
Luis Felipe Barahona-PérezUnidad de Energia Renovable, Centro de Investigacion Cientifica de Yucatan, Merida, Yucatan, Mexico.
Gloria Sandoval-FloresUnidad Académica Multidisciplinaria Reynosa-Aztlán, Universidad Autonoma de Tamaulipas, Merida, Yucatan, Mexico.
David Valdes-LozanoCentro de Investigación y de Estudios Avanzados, Insituto Politecnico Nacional, Merida, Yucatan, Mexico.
Tanit Toledano-ThompsonUnidad de Energia Renovable, Centro de Investigacion Cientifica de Yucatan, Merida, Yucatan, Mexico.
Erik Polanco-LugoCampus de Ciencias Biológicas y Agropecuarias,, Universidad Autonoma de Yucatan, Merida, Yucatan, Mexico.
Ruby Valdez-OjedaUnidad de Energia Renovable, Centro de Investigacion Cientifica de Yucatan, Merida, Yucatan, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoastal ecosystems are prone to hydrocarbon pollution due to human activities, and this issue has a tremendous impact on the environment, socioeconomic consequences, and represents a hazard to humans. Bioremediation relies on the ability of bacteria to metabolize hydrocarbons with the aim of cleaning up polluted sites.

methodsThe potential of naturally occurring microbial communities as oil degraders was investigated in Sisal and Progreso, two port locations in the southeast Gulf of Mexico, both with a low level of hydrocarbon pollution. To do so, we determined the diversity and composition of bacterial communities in the marine sediment during the dry and rainy seasons using 16S rRNA sequencing. Functional profile analysis (PICRUTSt2) was used to predict metabolic functions associated with hydrocarbon degradation.

resultsWe found a large bacterial taxonomic diversity, including some genera reported as hydrocarbon-degraders. Analyses of the alpha and beta diversity did not detect significant differences between sites or seasons, suggesting that location, season, and the contamination level detected here do not represent determining factors in the structure of the microbial communities. PICRUTSt2 predicted 10 metabolic functions associated with hydrocarbon degradation. Most bacterial genera with potential hydrocarbon bioremediation activity were generalists likely capable of degrading different hydrocarbon compounds. The bacterial composition and diversity reported here represent an initial attempt to characterize sites with low levels of contamination. This information is crucial for understanding the impact of eventual rises in hydrocarbon pollution.

Indexed as

BacteriaHydrocarbon pollutionMarine sedimentsSoutheast gulf of mexicoYucatan

Identifiers

PMID33354414
PMCPMC7731659

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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.