Evidence map›Paper›PMID 20405129›Full record

ArticleCurrent microbiology2010

Identification and analysis of polychlorinated biphenyls (PCBs)-biodegrading bacterial strains in Shanghai.

Jian-Jun Shuai, Yong-Sheng Tian, Quan-Hong Yao, Ri-He Peng, Fei Xiong, Ai-Sheng Xiong

Abstract read
PubMed Publisher
In one paragraph

Article in Current microbiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.2field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
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  6. Regional analysis of potential polychlorinated biphenyl degrading bacterial strains from China.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]
    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

6 authors at 3 institutions in 1 country.

Jian-Jun ShuaiCollege of Bioscience and Biotechnology, Yangzhou University, Yangzhou, China.
Yong-Sheng Tian
Quan-Hong Yao
Ri-He Peng
Fei Xiong
Ai-Sheng Xiong
Shanghai Academy of Agricultural Sciences · CNYangzhou University · CNBiotechnology Research Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As one of China's great metropolises, Shanghai is vulnerable to various forms of industrial and agricultural contamination associated with its development. Polychlorinated biphenyls (PCBs) are man-made chemicals that never existed in nature until the 1900s when they started to be released into the environment. PCBs are hazardous environmental contaminants that bind strongly to soil. In this study, four soil samples were screened for the presence of PCB-degrading bacteria. The 16 S rDNAs were amplified from those genomes and the products (~1.5 kb) were purified and sequenced for the isolation and identification of bacterial species. Four Pseudomonas strains (strain 1-212 from sample 1; strain 2-241 from sample 2; strain 3-318 from sample 3; and strain 4-150 from sample 4) were selected for analysis by HPLC. Setting the content of the biphenyl in CK as 100%, the biphenyl contents was 2.32% in 1-212, 73.11% in 2-241, 69.83% in 3-318, and 86.16% in 4-150. The results of this study suggest directions for future research, including genetic screening, cloning and restructuring, and provide guidance for the cultivation of PCBs-degrading bacteria.

Indexed as

Biodegradation, EnvironmentalBacteriaChemical IndustryChinaChromatography, High Pressure LiquidEnvironmental PollutionGene AmplificationIndustrial WastePhylogenyPolychlorinated BiphenylsPseudomonasRNA, Ribosomal, 16SSoil MicrobiologySoil PollutantsIndustrial WastePolychlorinated BiphenylsRNA, Ribosomal, 16SSoil Pollutants

Identifiers

PMID20405129
OpenAlexW2043932073

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.