Evidence map›Paper›PMID 25008984›Full record

ArticleMicrobial ecology2014

Distribution of naphthalene dioxygenase genes in crude oil-contaminated soils.

Yuyin Yang, Jie Wang, Jingqiu Liao, Shuguang Xie, Yi Huang

Abstract read
PubMed Publisher
In one paragraph

Article in Microbial ecology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Applied and environmental microbiology · 2019
    Article
  6. Article
  7. Article
  8. Novel Butane-Oxidizing Bacteria and Diversity ofFrontiers in microbiology · 2018
    Article
  9. Article
  10. Article
  11. Article
  12. 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 at 2 institutions in 1 country.

Yuyin YangState Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China.
Jie Wang
Jingqiu Liao
Shuguang Xie
Yi Huang
Peking University · CNState Key Joint Laboratory of Environment Simulation and Pollution Control · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polycyclic aromatic hydrocarbons (PAHs) are one of the major pollutants in soils in oil exploring areas. Biodegradation is the major process for natural elimination of PAHs from contaminated soils. Functional genes can be used as biomarkers to assess the biodegradation potential of indigenous microbial populations. However, little is known about the distribution of PAH-degrading genes in the environment. The links between environmental parameters and the distribution of PAH metabolic genes remain essentially unclear. The present study investigated the abundance and diversity of naphthalene dioxygenase genes in the oil-contaminated soils in the Shengli Oil Field (China). Spatial variations in the density and diversity of naphthalene dioxygenase genes occurred in this area. Four different sequence genotypes were observed in the contaminated soils, with the predominance of novel PAH-degrading genes. Pearson's correlation analysis illustrated that gene abundance had positive correlations with the levels of total organic carbon and aromatic hydrocarbons, while gene diversity showed a negative correlation with the level of polar aromatics. This work could provide some new insights toward the distribution of PAH metabolic genes and PAH biodegradation potential in oil-contaminated ecosystems.

Indexed as

Soil MicrobiologyBacteriaBacterial ProteinsChinaDioxygenasesMolecular Sequence DataMultienzyme ComplexesPetroleumPhylogenyReal-Time Polymerase Chain ReactionSequence Analysis, DNASoil PollutantsBacterial ProteinsDioxygenasesMultienzyme Complexesnaphthalene dioxygenasePetroleumSoil Pollutants

Identifiers

PMID25008984
OpenAlexW2081394573

What OpenQuestion holds

Textmetadata
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.