Evidence map›Paper›PMID 40951842›Full record

ArticleBioinformatics and biology insights2025

Metagenomic Insights Into Biopile Remediation of Petroleum-Contaminated Soil Using Chicken Droppings in Rivers State, Nigeria.

Emmanuel O Fenibo, Rosina Nkuna, Tonderayi Matambo

Abstract read
In one paragraph

Article in Bioinformatics and biology insights, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

3 authors.

Emmanuel O FeniboNational Agency for Food and Drug Administration, Yaba, Nigeria.ORCID https://orcid.org/0000-0003-3017-6579
Rosina NkunaDepartment of Biotechnology and Food Technology, Faculty of Science, University of Johannesburg, Johannesburg, South Africa.ORCID https://orcid.org/0000-0002-1125-2989
Tonderayi MatamboCentre for Competence in Environmental Biotechnology, College of Animal and Environmental Science, University of South Africa, Florida Science Campus, Pretoria, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Petroleum hydrocarbon pollution is an escalating global issue, particularly in developing countries, where it has attracted significant attention from researchers focusing on bioremediation, monitoring and sustainability. This study utilised metagenomics to investigate the bacterial community's response in polluted soil undergoing field-scale biopile treatment, with chicken droppings as a nutrient source. Hydrocarbon concentrations were monitored over a 90-day remediation period using the Fourier transform infrared (FTIR) spectrometry technique. Molecular and bioinformatic analyses were conducted to track the dynamics of bacterial species, their abundance and functional roles during the bioremediation process. The initial total petroleum hydrocarbon (TPH) concentration of 446 945 ppm was first reduced to 80 332 ppm through dilution. Following a 90-day bioremediation process using poultry waste, the level further decreased to 5326 ppm, representing a 93.37% reduction. In the metagenomic analysis, a total of 26 736 reads were obtained, averaging 6684 counts per sample. In addition, the study identified diverse bacterial metagenomes, including well-established hydrocarbon-degrading bacteria from Proteobacteria, Firmicutes, Acidobacteria and Actinobacteria phyla, and species previously not reported as hydrocarbon-degrading. Biomarkers associated with hydrocarbon metabolisms, such as aromatic dioxygenases, alkane-1-monooxygenase and methanol oxidation pathways, were identified. A significant decrease in the relative abundance of bacterial genera in heavily polluted soil was observed, alongside an increased presence of

Indexed as

Bacterial bioinformaticsbiopilingchicken droppingsfield-scale bioremediationhydrocarbonhydrocarbon-degrading bacteria

Identifiers

PMID40951842
PMCPMC12432321

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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.