Evidence map›Paper›PMID 20861922›Full record

ArticleThe ISME journal2011

Functional gene diversity of soil microbial communities from five oil-contaminated fields in China.

Yuting Liang, Joy D Van Nostrand, Ye Deng, Zhili He, Liyou Wu, Xu Zhang, Guanghe Li, Jizhong Zhou

Abstract read
In one paragraph

Article in The ISME journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Main controls onFrontiers in microbiology · 2025
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. IncreasingFrontiers in microbiology · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Bacterial community changes in response to oil contamination and perennial crop cultivation.Environmental science and pollution research international · 2018
    Article
  20. Novel Butane-Oxidizing Bacteria and Diversity ofFrontiers in microbiology · 2018
    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

8 authors.

Yuting LiangChangzhou University, Jiangsu, China.
Joy D Van Nostrand
Ye Deng
Zhili He
Liyou Wu
Xu Zhang
Guanghe Li
Jizhong Zhou

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To compare microbial functional diversity in different oil-contaminated fields and to know the effects of oil contaminant and environmental factors, soil samples were taken from typical oil-contaminated fields located in five geographic regions of China. GeoChip, a high-throughput functional gene array, was used to evaluate the microbial functional genes involved in contaminant degradation and in other major biogeochemical/metabolic processes. Our results indicated that the overall microbial community structures were distinct in each oil-contaminated field, and samples were clustered by geographic locations. The organic contaminant degradation genes were most abundant in all samples and presented a similar pattern under oil contaminant stress among the five fields. In addition, alkane and aromatic hydrocarbon degradation genes such as monooxygenase and dioxygenase were detected in high abundance in the oil-contaminated fields. Canonical correspondence analysis indicated that the microbial functional patterns were highly correlated to the local environmental variables, such as oil contaminant concentration, nitrogen and phosphorus contents, salt and pH. Finally, a total of 59% of microbial community variation from GeoChip data can be explained by oil contamination, geographic location and soil geochemical parameters. This study provided insights into the in situ microbial functional structures in oil-contaminated fields and discerned the linkages between microbial communities and environmental variables, which is important to the application of bioremediation in oil-contaminated sites.

Indexed as

Genetic VariationPetroleumSoil MicrobiologyBacteriaBiodegradation, EnvironmentalChinaGenes, BacterialNitrogenOligonucleotide Array Sequence AnalysisPhosphorusSoilSoil PollutantsNitrogenPetroleumPhosphorusSoilSoil Pollutants

Identifiers

PMID20861922
PMCPMC3105718

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.