Metatranscriptomes of activated sludge microbiomes from saline wastewater treatment plant

The activated sludge microbiome (ASM) drives the biological wastewater treatment process in wastewater treatment plants. It has been established in the literature that the ASM is characterized by a high degree of taxonomic and metabolic diversity. However, meta-omics datasets have been derived from domestic wastewater treatment plants with little attention to saline wastewater treatment plants (SWWTP). Existing knowledge of how activated sludge microorganisms impact water quality, interrelate within habitat networks, and respond to environmental perturbations remains limited. Here we present datasets of the metatranscriptomes of SWWTP in The Netherlands, coupled with process data. The dataset represents a two-year and four-month time series of data collected from 2014 to 2017, with samples taken at approximately monthly intervals from the facultative zone in the activated sludge process of an SWWTP. In total, 32 activated sludge samples were analyzed. This dataset can be used to enhance understanding of the unique microbiome composition in SWWTPs, its dynamic responses to environmental variables, and the metabolic functions within the ASM.

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Publication Details

Journal
Scientific Data
Published
2025-02-26
DOI
https://doi.org/10.1038/s41597-025-04682-w
Citations
6
Primary Topic
Microbial Community Ecology and Physiology
Type
article
Field-Weighted Citation Impact
10.30

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article

Metatranscriptomes of activated sludge microbiomes from saline wastewater treatment plant

Karel J. Keesman, Ranko Gaćeša, Bayu Jayawardhana, Bert Geurkink et al.
6 citations
Scientific Data
Microbial Community Ecology and Physiology
10.30
article

Metatranscriptomes of activated sludge microbiomes from saline wastewater treatment plant

Karel J. Keesman, Ranko Gaćeša, Bayu Jayawardhana, Bert Geurkink, Asala Mahajna, Gerrit Jan Willem Euverink
article en
6 citations

Abstract

The activated sludge microbiome (ASM) drives the biological wastewater treatment process in wastewater treatment plants. It has been established in the literature that the ASM is characterized by a high degree of taxonomic and metabolic diversity. However, meta-omics datasets have been derived from domestic wastewater treatment plants with little attention to saline wastewater treatment plants (SWWTP). Existing knowledge of how activated sludge microorganisms impact water quality, interrelate within habitat networks, and respond to environmental perturbations remains limited. Here we present datasets of the metatranscriptomes of SWWTP in The Netherlands, coupled with process data. The dataset represents a two-year and four-month time series of data collected from 2014 to 2017, with samples taken at approximately monthly intervals from the facultative zone in the activated sludge process of an SWWTP. In total, 32 activated sludge samples were analyzed. This dataset can be used to enhance understanding of the unique microbiome composition in SWWTPs, its dynamic responses to environmental variables, and the metabolic functions within the ASM.

Scientific DataVol. 12(1)
University Medical Center Groningen (NL), University of Groningen (NL), Water Technology (Australia) (AU), Wageningen University & Research (NL)
European Commission, Rijksuniversiteit Groningen, Ministerie van Economische Zaken en Klimaat
Clean water and sanitation
Openalex Percentile: Top 2%
Microbial Community Ecology and Physiology
10.30
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