Evidence map›Paper›PMID 33604834›Full record

ArticleEnvironmental science and pollution research international2021

Petroleum contamination significantly changes soil microbial communities in three oilfield locations in Delta State, Nigeria.

Macdonald Ogorm Mafiana, Xiao-Hu Kang, Yan Leng, Li-Fang He, Shi-Weng Li

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 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.

  1. Article
  2. Article
  3. Metagenomics-metabolomics analysis of microbial function and metabolism in petroleum-contaminated soil.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2023
    Article
  4. Review
  5. Microbiological Study in Petrol-Spiked Soil.Molecules (Basel, Switzerland) · 2021
    Article
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

5 authors.

Macdonald Ogorm MafianaSchool of Environmental and Municipal Engineering, Lanzhou Jiaotong University, 730070, Lanzhou, People's Republic of China. donald70us@yahoo.com.ORCID http://orcid.org/0000-0001-7995-3741
Xiao-Hu KangSchool of Environmental and Municipal Engineering, Lanzhou Jiaotong University, 730070, Lanzhou, People's Republic of China.
Yan LengSchool of Environmental and Municipal Engineering, Lanzhou Jiaotong University, 730070, Lanzhou, People's Republic of China.
Li-Fang HeSchool of Environmental and Municipal Engineering, Lanzhou Jiaotong University, 730070, Lanzhou, People's Republic of China.
Shi-Weng LiSchool of Environmental and Municipal Engineering, Lanzhou Jiaotong University, 730070, Lanzhou, People's Republic of China. lishweng@mail.lzjtu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil microbial community structure is altered by petroleum contamination in response to compound toxicity and degradation. Understanding the relation between petroleum contamination and soil microbial community structure is crucial to determine the amenability of contaminated soils to bacterial- and fungal-aided remediation. To understand how petroleum contamination and soil physicochemical properties jointly shaped the microbial structure of soils from different oilfields, high-throughput sequencing of 16S and ITS amplicons were used to evaluate the shifts of microbial communities in the petroleum-contaminated soils in Ughelli East (UE), Utorogu (UT), and Ughelli West (UW) oilfields located in Delta State, Nigeria. The results showed 1515 bacteria and 919 fungal average OTU number, and community richness and diversity, trending as AL > UT > UW > UE and AL > UW > UT > UE for bacteria, and AL > UW > UT > UE and UW > UT > AL > UE for fungi, respectively. The bacterial taxa KCM-B-112, unclassified Saccharibacteria, unclassified Rhizobiales, Desulfurellaceae, and Acidobacteriaceae and fungal Trichocomaceae, unclassified Ascomycota, unclassified Sporidiobolales, and unclassified Fungi were found to be the dominant families in petroleum-contaminated soils. Redundancy analysis (RDA) and Spearman's correlation analysis revealed that total carbon (TC), electric conductivity (EC), pH, and moisture content (MO) were the major drivers of bacterial and fungal communities, respectively. Gas chromatography-mass spectrophotometer (GC-MS) analysis exhibited that the differences in C

Indexed as

MicrobiotaPetroleumPetroleum PollutionSoil PollutantsBiodegradation, EnvironmentalHumansNigeriaOil and Gas FieldsRNA, Ribosomal, 16SSoilSoil MicrobiologyPetroleumRNA, Ribosomal, 16SSoilSoil PollutantsBioremediationMicrobial characterizationOil-contaminated soilSpecies richness and diversity

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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.