| Title |
Community Composition of Known and Uncultured Archaeal Lineages in Anaerobic or Anoxic Wastewater Treatment Sludge
|
|---|---|
| Published in |
Microbial Ecology, November 2014
|
| DOI | 10.1007/s00248-014-0525-z |
| Pubmed ID | |
| Authors |
Kyohei Kuroda, Masashi Hatamoto, Nozomi Nakahara, Kenichi Abe, Masanobu Takahashi, Nobuo Araki, Takashi Yamaguchi |
| Abstract |
Microbial systems are widely used to treat different types of wastewater from domestic, agricultural, and industrial sources. Community composition is an important factor in determining the successful performance of microbial treatment systems; however, a variety of uncultured and unknown lineages exist in sludge that requires identification and characterization. The present study examined the archaeal community composition in methanogenic, denitrifying, and nitrogen-/phosphate-removing wastewater treatment sludge by Archaea-specific 16S rRNA gene sequencing analysis using Illumina sequencing technology. Phylotypes belonging to Euryarchaeota, including methanogens, were most abundant in all samples except for nitrogen-/phosphate-removing wastewater treatment sludge. High levels of Deep Sea Hydrothermal Vent Group 6 (DHVEG-6), WSA2, Terrestrial Miscellaneous Euryarchaeotal Group, and Miscellaneous Crenarchaeotic Group were also detected. Interestingly, DHVEG-6 was dominant in nitrogen-/phosphate-removing wastewater treatment sludge, indicating that unclear lineages of Archaea still exist in the anaerobic wastewater treatment sludges. These results reveal a previously unknown diversity of Archaea in sludge that can potentially be exploited for the development of more efficient wastewater treatment strategies. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 76 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 23% |
| Student > Master | 16 | 21% |
| Researcher | 12 | 16% |
| Other | 6 | 8% |
| Student > Bachelor | 3 | 4% |
| Other | 8 | 10% |
| Unknown | 14 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 30% |
| Environmental Science | 16 | 21% |
| Biochemistry, Genetics and Molecular Biology | 10 | 13% |
| Engineering | 6 | 8% |
| Computer Science | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 18 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 04 June 2016.
All research outputs
#14,392,043
of 23,498,099 outputs
Outputs from Microbial Ecology
#1,284
of 2,092 outputs
Outputs of similar age
#134,478
of 264,578 outputs
Outputs of similar age from Microbial Ecology
#19
of 46 outputs
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