Evidence map›Paper›PMID 37152743›Full record

ArticleFrontiers in microbiology2023

Field scale biodegradation of total petroleum hydrocarbons and soil restoration by Ecopiles: microbiological analysis of the process.

Ruben Martínez-Cuesta, Robert Conlon, Mutian Wang, Esther Blanco-Romero, David Durán, Miguel Redondo-Nieto, David Dowling, Daniel Garrido-Sanz, Marta Martin, Kieran Germaine and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2023. 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
1.3field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 18 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

11 authors at 3 institutions in 2 countries.

Ruben Martínez-CuestaDepartamento de Biología, Universidad Autónoma de Madrid, Madrid, Spain.
Robert ConlonEnviroCore, Dargan Research Centre, South East Technological University, Carlow, Ireland.
Mutian WangEnviroCore, Dargan Research Centre, South East Technological University, Carlow, Ireland.
Esther Blanco-RomeroDepartamento de Biología, Universidad Autónoma de Madrid, Madrid, Spain.
David DuránDepartamento de Biología, Universidad Autónoma de Madrid, Madrid, Spain.
Miguel Redondo-NietoDepartamento de Biología, Universidad Autónoma de Madrid, Madrid, Spain.
David DowlingEnviroCore, Dargan Research Centre, South East Technological University, Carlow, Ireland.
Daniel Garrido-SanzDepartamento de Biología, Universidad Autónoma de Madrid, Madrid, Spain.
Marta MartinDepartamento de Biología, Universidad Autónoma de Madrid, Madrid, Spain.
Kieran GermaineEnviroCore, Dargan Research Centre, South East Technological University, Carlow, Ireland.
Rafael RivillaDepartamento de Biología, Universidad Autónoma de Madrid, Madrid, Spain.
Universidad Autónoma de Madrid · ESSouth East Technological UniversityTechnological University Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ecopiling is a method for biodegradation of hydrocarbons in soils. It derives from Biopiles, but phytoremediation is added to biostimulation with nitrogen fertilization and bioaugmentation with local bacteria. We have constructed seven Ecopiles with soil heavily polluted with hydrocarbons in Carlow (Ireland). The aim of the study was to analyze changes in the microbial community during ecopiling. In the course of 18 months of remediation, total petroleum hydrocarbons values decreased in 99 and 88% on average for aliphatics and aromatics, respectively, indicating a successful biodegradation. Community analysis showed that bacterial alfa diversity (Shannon Index), increased with the degradation of hydrocarbons, starting at an average value of 7.59 and ending at an average value of 9.38. Beta-diversity analysis, was performed using Bray-Curtis distances and PCoA ordination, where the two first principal components (PCs) explain the 17 and 14% of the observed variance, respectively. The results show that samples tend to cluster by sampling time instead of by Ecopile. This pattern is supported by the hierarchical clustering analysis, where most samples from the same timepoint clustered together. We used DSeq2 to determine the differential abundance of bacterial populations in Ecopiles at the beginning and the end of the treatment. While TPHs degraders are more abundant at the start of the experiment, these populations are substituted by bacterial populations typical of clean soils by the end of the biodegradation process. Similar results are found for the fungal community, indicating that the microbial community follows a succession along the process. This succession starts with a TPH degraders or tolerant enriched community, and finish with a microbial community typical of clean soils.

Indexed as

bioremediationEcopilehydrocarbonmicrobial successionmicrobiota

Identifiers

PMID37152743
PMCPMC10160625
OpenAlexW4366688696

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.