Evidence map›Paper›PMID 26086670›Full record

ArticleScientific reports2015

Distribution of petroleum degrading genes and factor analysis of petroleum contaminated soil from the Dagang Oilfield, China.

Qinglong Liu, Jingchun Tang, Zhihui Bai, Markus Hecker, John P Giesy

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

24 citing papers in PubMed, 79 citations in OpenAlex.

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  8. In situ bioremediation of petroleum hydrocarbon-contaminated soil: isolation and application of a Rhodococcus strain.International microbiology : the official journal of the Spanish Society for Microbiology · 2023
    Article
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  11. International journal of environmental research and public health · 2022
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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

5 authors at 3 institutions in 2 countries.

Qinglong LiuKey Laboratory of Pollution Processes and Environmental Criteria (Ministry of Education), Tianjin Engineering Center of Pollution Diagnosis and Environmental Restoration, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China.
Jingchun TangKey Laboratory of Pollution Processes and Environmental Criteria (Ministry of Education), Tianjin Engineering Center of Pollution Diagnosis and Environmental Restoration, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China.
Zhihui BaiResearch Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Markus Hecker1] School of Environment and sustainability, University of Saskatchewan, Saskatoon, Saskatchewan, Canada [2] Toxicology Centre, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
John P Giesy1] Toxicology Centre, University of Saskatchewan, Saskatoon, Saskatchewan, Canada [2] Department of Veterinary Biomedical Sciences, University of Saskatchewan, Saskatoon, Saskatchewan, Canada [3] School of Biological Sciences, University of Hong Kong, Hong Kong, SAR, China [4] State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, People's Republic of China [5] Department of Biology, Hong Kong Baptist University, Hong Kong, SAR, China.
Nankai University · CNUniversity of Saskatchewan · CAChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genes that encode for enzymes that can degrade petroleum hydrocarbons (PHs) are critical for the ability of microorganisms to bioremediate soils contaminated with PHs. Distributions of two petroleum-degrading genes AlkB and Nah in soils collected from three zones of the Dagang Oilfield, Tianjin, China were investigated. Numbers of copies of AlkB ranged between 9.1 × 10(5) and 1.9 × 10(7) copies/g dry mass (dm) soil, and were positively correlated with total concentrations of PHs (TPH) (R(2) = 0.573, p = 0.032) and alkanes (C33 ~ C40) (R(2) = 0.914, p < 0.01). The Nah gene was distributed relatively evenly among sampling zones, ranging between 1.9 × 10(7) and 1.1 × 10(8) copies/g dm soil, and was negatively correlated with concentrations of total aromatic hydrocarbons (TAH) (R(2) = -0.567, p = 0.035) and ∑16 PAHs (R(2) = -0.599, p = 0.023). Results of a factor analysis showed that individual samples of soils were not ordinated as a function of the zones.

Indexed as

Factor Analysis, StatisticalMetagenomeMicrobiotaPetroleumSoil MicrobiologyChinaPhylogenyRNA, Ribosomal, 16SSoilSoil PollutantsPetroleumRNA, Ribosomal, 16SSoilSoil Pollutants

Identifiers

PMID26086670
PMCPMC4478889
OpenAlexW2276784535

What OpenQuestion holds

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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.