Evidence map›Paper›PMID 29744605›Full record

ArticleAMB Express2018

Microbial diversity and ecotoxicity of sediments 3 years after the Jiaozhou Bay oil spill.

Wei Gao, Xiaofei Yin, Tiezhu Mi, Yiran Zhang, Faxiang Lin, Bin Han, Xilong Zhao, Xiao Luan, Zhisong Cui, Li Zheng

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in AMB Express, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. 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

10 authors at 3 institutions in 1 country.

Wei GaoCollege of Marine Life Sciences, Ocean University of China, Qingdao, 266003, China.
Xiaofei YinKey Laboratory for Marine Bioactive Substances and Modern Analytical Technology, The First Institute of Oceanography, State Oceanic Administration of China, No. 6 Xianxialing Road, Qingdao, 266000, Shandong, People's Republic of China.
Tiezhu MiCollege of Environmental Science and Engineering, Ocean University of China, Qingdao, 266100, China.
Yiran ZhangKey Laboratory for Marine Bioactive Substances and Modern Analytical Technology, The First Institute of Oceanography, State Oceanic Administration of China, No. 6 Xianxialing Road, Qingdao, 266000, Shandong, People's Republic of China.
Faxiang LinKey Laboratory for Marine Bioactive Substances and Modern Analytical Technology, The First Institute of Oceanography, State Oceanic Administration of China, No. 6 Xianxialing Road, Qingdao, 266000, Shandong, People's Republic of China.
Bin HanKey Laboratory for Marine Bioactive Substances and Modern Analytical Technology, The First Institute of Oceanography, State Oceanic Administration of China, No. 6 Xianxialing Road, Qingdao, 266000, Shandong, People's Republic of China.
Xilong ZhaoKey Laboratory for Marine Bioactive Substances and Modern Analytical Technology, The First Institute of Oceanography, State Oceanic Administration of China, No. 6 Xianxialing Road, Qingdao, 266000, Shandong, People's Republic of China.
Xiao LuanKey Laboratory for Marine Bioactive Substances and Modern Analytical Technology, The First Institute of Oceanography, State Oceanic Administration of China, No. 6 Xianxialing Road, Qingdao, 266000, Shandong, People's Republic of China.
Zhisong CuiKey Laboratory for Marine Bioactive Substances and Modern Analytical Technology, The First Institute of Oceanography, State Oceanic Administration of China, No. 6 Xianxialing Road, Qingdao, 266000, Shandong, People's Republic of China.
Li ZhengKey Laboratory for Marine Bioactive Substances and Modern Analytical Technology, The First Institute of Oceanography, State Oceanic Administration of China, No. 6 Xianxialing Road, Qingdao, 266000, Shandong, People's Republic of China. zhengli@fio.org.cn.
First Institute of Oceanography · CNOcean University of China · CNQingdao National Laboratory for Marine Science and Technology · CN

Funding

National Natural Science Foundation of China 41406127National Natural Science Foundation of China 41476103
6 · The paper itself

Abstract

In 2013, the "Qingdao oil pipeline explosion" released an estimated 2000 tons of oil into the environment. Sediment samples were collected from ten sites in Jiaozhou Bay and Shilaoren Beach to evaluate the influence of the spilled oil on the benthic environment 3 years after the oil spill accident. The compositions of oil, bacterial diversity and biotoxicity were examined in this study. The results showed that the concentration of total petroleum hydrocarbons (TPHs) peaked near the oil leak point and gradually decreased along the coastline, ranging from 21.5 to 133.2 μg/g. The distribution of polycyclic aromatic hydrocarbons (PAHs) was correlated with TPH, and naphthalenes were dominant in the 20 detected PAHs. The bacterial diversities in seriously polluted and slightly polluted sediments were completely different. As degrading bacteria, Alcanivorax and Lutibacter were the main genera at the oil-polluted sites. The analysis of biotoxicity by the luminescent bacteria method showed great differences among the polluted sites, the control site in Jiaozhou Bay, and the non-polluted site outside of Jiaozhou Bay. The biotoxicity also peaked at the site near the oil leak point. These results indicate that the oil spill that occurred 3 years ago still affects the environment and impacts the bacterial communities in the sediments.

Indexed as

Bacterial diversityBiotoxicityOil spillPetroleum hydrocarbonsSediment

Identifiers

PMID29744605
PMCPMC5943202
OpenAlexW2799612629

What OpenQuestion holds

Textmetadata
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.