| Title |
16S rRNA gene-based characterization of bacteria potentially associated with phosphate and carbonate precipitation from a granular autotrophic nitrogen removal bioreactor
|
|---|---|
| Published in |
Applied Microbiology and Biotechnology, November 2016
|
| DOI | 10.1007/s00253-016-7914-9 |
| Pubmed ID | |
| Authors |
Alejandro Gonzalez-Martinez, Alejandro Rodriguez-Sanchez, María Angustias Rivadeneyra, Almudena Rivadeneyra, Daniel Martin-Ramos, Riku Vahala, Jesús Gonzalez-Lopez |
| Abstract |
A bench-scale granular autotrophic nitrogen removal bioreactor (completely autotrophic nitrogen removal over nitrite (CANON) system) used for the treatment of synthetic wastewater was analyzed for the identification of microbiota with potential capacity for carbonate and phosphate biomineral formation. 16S ribosomal RNA (rRNA) gene-based studies revealed that different bacterial species found in the granular biomass could trigger the formation of phosphate and calcite minerals in the CANON bioreactor. iTag analysis of the microbial community in the granular biomass with potential ability to precipitate calcium carbonate and hydroxyapatite constituted around 0.79-1.32 % of total bacteria. Specifically, the possible hydroxyapatite-producing Candidatus Accumulibacter had a relative abundance of 0.36-0.38 % and was the highest phosphate-precipitating bacteria in the granular CANON system. With respect to calcite precipitation, the major potential producer was thought to be Stenotrophomonas with a 0.38-0.50 % relative abundance. In conclusion, our study showed evidences that the formation of hydroxyapatite and calcite crystals inside of the granular biomass of a CANON system for the treatment wastewater with high ammonium concentration was a biological process. Therefore, it could be suggested that microorganisms play an important role as a precipitation core and also modified the environment due to their metabolic activities. |
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 % |
|---|---|---|
| Unknown | 3 | 100% |
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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 28% |
| Student > Doctoral Student | 5 | 14% |
| Student > Master | 5 | 14% |
| Student > Postgraduate | 3 | 8% |
| Researcher | 3 | 8% |
| Other | 4 | 11% |
| Unknown | 6 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 9 | 25% |
| Agricultural and Biological Sciences | 7 | 19% |
| Environmental Science | 4 | 11% |
| Chemical Engineering | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Other | 3 | 8% |
| Unknown | 9 | 25% |
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 26 November 2016.
All research outputs
#15,827,358
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#5,634
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Outputs of similar age
#191,327
of 315,893 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#55
of 94 outputs
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