| Title |
New insights into the genetic and metabolic diversity of thiocyanate-degrading microbial consortia
|
|---|---|
| Published in |
Applied Microbiology and Biotechnology, November 2015
|
| DOI | 10.1007/s00253-015-7161-5 |
| Pubmed ID | |
| Authors |
Mathew P. Watts, John W. Moreau |
| Abstract |
Thiocyanate is a common contaminant of the gold mining and coal coking industries for which biological degradation generally represents the most viable approach to remediation. Recent studies of thiocyanate-degrading bioreactor systems have revealed new information on the structure and metabolic activity of thiocyanate-degrading microbial consortia. Previous knowledge was limited primarily to pure-culture or co-culture studies in which the effects of linked carbon, sulfur and nitrogen cycling could not be fully understood. High throughput sequencing, DNA fingerprinting and targeted gene amplification have now elucidated the genetic and metabolic diversity of these complex microbial consortia. Specifically, this has highlighted the roles of key consortium members involved in sulfur oxidation and nitrification. New insights into the biogeochemical cycling of sulfur and nitrogen in bioreactor systems allow tailoring of the microbial metabolism towards meeting effluent composition requirements. Here we review these rapidly advancing studies and synthesize a conceptual model to inform new biotechnologies for thiocyanate remediation. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 4% |
| Netherlands | 1 | 2% |
| Unknown | 49 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 17% |
| Student > Ph. D. Student | 6 | 12% |
| Other | 5 | 10% |
| Student > Bachelor | 4 | 8% |
| Student > Master | 4 | 8% |
| Other | 10 | 19% |
| Unknown | 14 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 15 | 29% |
| Environmental Science | 9 | 17% |
| Engineering | 4 | 8% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Chemical Engineering | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 18 | 35% |
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 25 November 2015.
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
#223,099
of 394,620 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#58
of 126 outputs
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