2013
DOI: 10.2166/wst.2013.151
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The Microbial Database for Danish wastewater treatment plants with nutrient removal (MiDas-DK) – a tool for understanding activated sludge population dynamics and community stability

Abstract: Since 2006 more than 50 Danish full-scale wastewater treatment plants with nutrient removal have been investigated in a project called 'The Microbial Database for Danish Activated Sludge Wastewater Treatment Plants with Nutrient Removal (MiDas-DK)'. Comprehensive sets of samples have been collected, analyzed and associated with extensive operational data from the plants. The community composition was analyzed by quantitative fluorescence in situ hybridization (FISH) supported by 16S rRNA amplicon sequencing an… Show more

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Cited by 22 publications
(13 citation statements)
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“…Significant decrease of the abundances of the main relevant bacteria including Nitrosomonas, Candidatus Accumulibacter phosphatis and Thauera belonging to the class Betaproteobacteria was observed when serious sludge bulking occurred. In a previous study investigating over 50 Danish WWTPs with nutrient removal, the abundances of these were quite stable in different seasons [26]. Therefore sludge bulking should be the main reason for the significant changes of bacterial communities in the present study.…”
Section: Bulking Impact On Bacterial Populations Related To Nutrient mentioning
confidence: 48%
“…Significant decrease of the abundances of the main relevant bacteria including Nitrosomonas, Candidatus Accumulibacter phosphatis and Thauera belonging to the class Betaproteobacteria was observed when serious sludge bulking occurred. In a previous study investigating over 50 Danish WWTPs with nutrient removal, the abundances of these were quite stable in different seasons [26]. Therefore sludge bulking should be the main reason for the significant changes of bacterial communities in the present study.…”
Section: Bulking Impact On Bacterial Populations Related To Nutrient mentioning
confidence: 48%
“…Chimeric sequences were removed using UCHIME (Edgar et al 2011). The most representative sequences from each OTU were taxonomically classified using the MIDas-DK database (Mielczarek et al 2013).…”
Section: Ribosomal Rna Gene-based Tag Sequencingmentioning
confidence: 99%
“…Results correspond to the taxonomic distribution of 45 samples from the lab-scale SBR, 23 samples from the pilot-scale SBR and 38 samples from the full-scale WWTP Nine Springs. The name of each genus-level taxon in this figure correspond to the one proposed in the MIDAS database(Mielczarek et al 2013).…”
mentioning
confidence: 99%
“…For the functional assignment we first linked the OTUs to potential using the MiDas database (Mielczarek et al . ). We first matched our OTUs to the 146 bacteria identified in the MiDas database at the family level.…”
Section: Methodsmentioning
confidence: 97%