| Title |
Microbial diversity and ecotoxicity of sediments 3 years after the Jiaozhou Bay oil spill
|
|---|---|
| Published in |
AMB Express, May 2018
|
| DOI | 10.1186/s13568-018-0603-6 |
| Pubmed ID | |
| Authors |
Wei Gao, Xiaofei Yin, Tiezhu Mi, Yiran Zhang, Faxiang Lin, Bin Han, Xilong Zhao, Xiao Luan, Zhisong Cui, Li Zheng |
| 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. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 18% |
| Student > Master | 3 | 18% |
| Student > Doctoral Student | 2 | 12% |
| Student > Ph. D. Student | 2 | 12% |
| Professor | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 5 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemical Engineering | 3 | 18% |
| Agricultural and Biological Sciences | 3 | 18% |
| Biochemistry, Genetics and Molecular Biology | 2 | 12% |
| Engineering | 2 | 12% |
| Chemistry | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 5 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 May 2018.
All research outputs
#20,485,225
of 23,047,237 outputs
Outputs from AMB Express
#974
of 1,242 outputs
Outputs of similar age
#288,130
of 327,425 outputs
Outputs of similar age from AMB Express
#29
of 58 outputs
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