| Title |
Analysis of the microbial communities on corroded concrete sewer pipes – a case study
|
|---|---|
| Published in |
Applied Microbiology and Biotechnology, December 2001
|
| DOI | 10.1007/s002530100826 |
| Pubmed ID | |
| Authors |
E. Vincke, N. Boon, W. Verstraete |
| Abstract |
Conventional as well as molecular techniques have been used to determine the microbial communities present on the concrete walls of sewer pipes. The genetic fingerprint of the microbiota on corroded concrete sewer pipes was obtained by means of denaturing gradient gel electrophoresis (DGGE) of 16S rRNA gene fragments. The DGGE profiles of the bacterial communities present on the concrete surface changed as observed by shifts occurring at the level of the dominance of bands from non-corroded places to the most severely corroded places. By means of statistical tools, it was possible to distinguish two different groups, corresponding to the microbial communities on corroded and non-corroded surfaces, respectively. Characterization of the microbial communities indicated that the sequences of typical bands showed the highest level of identity to sequences from the bacterial strains Thiobacillus thiooxidans, Acidithiobacillus sp., Mycobacterium sp. and different heterotrophs belonging to the alpha-, beta- and gamma-Proteobacteria, Acidobacteria and Actinobacteria. In addition, the presence of N-acyl-homoserine lactone signal molecules was shown by two bio-assays of the biofilm on the concrete under the water level and at the most severely corroded places on the concrete surface of the sewer pipe. |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 1% |
| France | 1 | 1% |
| Unknown | 84 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 24% |
| Researcher | 18 | 21% |
| Student > Master | 9 | 10% |
| Student > Doctoral Student | 6 | 7% |
| Student > Bachelor | 3 | 3% |
| Other | 10 | 12% |
| Unknown | 19 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 24 | 28% |
| Agricultural and Biological Sciences | 11 | 13% |
| Environmental Science | 8 | 9% |
| Chemical Engineering | 3 | 3% |
| Immunology and Microbiology | 3 | 3% |
| Other | 12 | 14% |
| Unknown | 25 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 13 March 2013.
All research outputs
#8,517,130
of 25,392,205 outputs
Outputs from Applied Microbiology and Biotechnology
#2,893
of 8,287 outputs
Outputs of similar age
#32,344
of 131,317 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#21
of 51 outputs
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