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<p>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.</p>

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Metatranscriptomes of activated sludge microbiomes from saline wastewater treatment plant

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年2月26日

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  • Asala Mahajna,
  • Bert Geurkink,
  • Ranko Gacesa,
  • Karel J. Keesman,
  • Gert-Jan W. Euverink,
  • Bayu Jayawardhana

摘要

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.