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- Publisher Website: 10.1021/es201045e
- Scopus: eid_2-s2.0-80052240448
- PMID: 21780772
- WOS: WOS:000294373400014
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Article: Pathogenic bacteria in sewage treatment plants as revealed by 454 pyrosequencing
Title | Pathogenic bacteria in sewage treatment plants as revealed by 454 pyrosequencing | ||||||
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Authors | |||||||
Issue Date | 2011 | ||||||
Publisher | American Chemical Society. The Journal's web site is located at http://pubs.acs.org/est | ||||||
Citation | Environmental Science And Technology, 2011, v. 45 n. 17, p. 7173-7179 How to Cite? | ||||||
Abstract | This study applied 454 high-throughput pyrosequencing to analyze potentially pathogenic bacteria in activated sludge from 14 municipal wastewater treatment plants (WWTPs) across four countries (China, U.S., Canada, and Singapore), plus the influent and effluent of one of the 14 WWTPs. A total of 370-870 16S rRNA gene sequences with average length of 207 bps were obtained and all of them were assigned to corresponding taxonomic ranks by using RDP classifier and MEGAN. It was found that the most abundant potentially pathogenic bacteria in the WWTPs were affiliated with the genera of Aeromonas and Clostridium. Aeromonas veronii, Aeromonas hydrophila, and Clostridium perfringens were species most similar to the potentially pathogenic bacteria found in this study. Some sequences highly similar (>99%) to Corynebacterium diphtheriae were found in the influent and activated sludge samples from a saline WWTP. Overall, the percentage of the sequences closely related (>99%) to known pathogenic bacteria sequences was about 0.16% of the total sequences. Additionally, a platform-independent Java application (BAND) was developed for graphical visualization of the data of microbial abundance generated by high-throughput pyrosequencing. The approach demonstrated in this study could examine most of the potentially pathogenic bacteria simultaneously instead of one-by-one detection by other methods. © 2011 American Chemical Society. | ||||||
Persistent Identifier | http://hdl.handle.net/10722/150594 | ||||||
ISSN | 2023 Impact Factor: 10.8 2023 SCImago Journal Rankings: 3.516 | ||||||
ISI Accession Number ID |
Funding Information: We thank the Hong Kong General Research Fund (HKU7197/08E) for the financial support of this study and Lin Ye thanks The University of Hong Kong for the postgraduate studentship. We would like to thank Prof. Gao D.W., Prof. Deng B. L., Dr. Huang Q G., Dr. Zhu H. G., Dr. Liang D. W., Dr. Duan J. Z., Dr. Zhang M., Dr. Zhang X. X. for the activated sludge sampling. | ||||||
References |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ye, L | en_US |
dc.contributor.author | Zhang, T | en_US |
dc.date.accessioned | 2012-06-26T06:05:59Z | - |
dc.date.available | 2012-06-26T06:05:59Z | - |
dc.date.issued | 2011 | en_US |
dc.identifier.citation | Environmental Science And Technology, 2011, v. 45 n. 17, p. 7173-7179 | en_US |
dc.identifier.issn | 0013-936X | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/150594 | - |
dc.description.abstract | This study applied 454 high-throughput pyrosequencing to analyze potentially pathogenic bacteria in activated sludge from 14 municipal wastewater treatment plants (WWTPs) across four countries (China, U.S., Canada, and Singapore), plus the influent and effluent of one of the 14 WWTPs. A total of 370-870 16S rRNA gene sequences with average length of 207 bps were obtained and all of them were assigned to corresponding taxonomic ranks by using RDP classifier and MEGAN. It was found that the most abundant potentially pathogenic bacteria in the WWTPs were affiliated with the genera of Aeromonas and Clostridium. Aeromonas veronii, Aeromonas hydrophila, and Clostridium perfringens were species most similar to the potentially pathogenic bacteria found in this study. Some sequences highly similar (>99%) to Corynebacterium diphtheriae were found in the influent and activated sludge samples from a saline WWTP. Overall, the percentage of the sequences closely related (>99%) to known pathogenic bacteria sequences was about 0.16% of the total sequences. Additionally, a platform-independent Java application (BAND) was developed for graphical visualization of the data of microbial abundance generated by high-throughput pyrosequencing. The approach demonstrated in this study could examine most of the potentially pathogenic bacteria simultaneously instead of one-by-one detection by other methods. © 2011 American Chemical Society. | en_US |
dc.language | eng | en_US |
dc.publisher | American Chemical Society. The Journal's web site is located at http://pubs.acs.org/est | en_US |
dc.relation.ispartof | Environmental Science and Technology | en_US |
dc.subject.mesh | Bacteria - Classification - Genetics - Pathogenicity | en_US |
dc.subject.mesh | Base Sequence | en_US |
dc.subject.mesh | Canada | en_US |
dc.subject.mesh | China | en_US |
dc.subject.mesh | High-Throughput Nucleotide Sequencing - Methods | en_US |
dc.subject.mesh | Humans | en_US |
dc.subject.mesh | Phylogeny | en_US |
dc.subject.mesh | Polymerase Chain Reaction - Methods | en_US |
dc.subject.mesh | Rna, Ribosomal, 16S - Genetics | en_US |
dc.subject.mesh | Sewage - Microbiology | en_US |
dc.subject.mesh | Singapore | en_US |
dc.subject.mesh | United States | en_US |
dc.title | Pathogenic bacteria in sewage treatment plants as revealed by 454 pyrosequencing | en_US |
dc.type | Article | en_US |
dc.identifier.email | Zhang, T:zhangt@hkucc.hku.hk | en_US |
dc.identifier.authority | Zhang, T=rp00211 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1021/es201045e | en_US |
dc.identifier.pmid | 21780772 | - |
dc.identifier.scopus | eid_2-s2.0-80052240448 | en_US |
dc.identifier.hkuros | 208076 | - |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-80052240448&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 45 | en_US |
dc.identifier.issue | 17 | en_US |
dc.identifier.spage | 7173 | en_US |
dc.identifier.epage | 7179 | en_US |
dc.identifier.eissn | 1520-5851 | - |
dc.identifier.isi | WOS:000294373400014 | - |
dc.publisher.place | United States | en_US |
dc.identifier.scopusauthorid | Ye, L=36451639300 | en_US |
dc.identifier.scopusauthorid | Zhang, T=24470677400 | en_US |
dc.identifier.issnl | 0013-936X | - |