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Influence of wastewater type on the distribution of microbial community compositions including pathogenic bacteria within wastewater treatment processes

  • Bokjin Lee
  • , Sang Hoon Lee
  • , Jaiyeop Lee
  • , Na Kyung Kim
  • , Ilho Kim
  • , Saerom Park
  • , Seogku Kim
  • , So Young Ham
  • , Hee Deung Park
  • , Dongbeom Im
  • , Han Shin Kim*
  • *Corresponding author for this work
  • Korean Institute of Civil Engineering and Building Technology
  • Korea University
  • University of Science and Technology UST
  • University of Tübingen
  • Kyoto University

Research output: Contribution to journalJournal articlepeer-review

Abstract

Many wastewater treatment plants (WWTPs) utilize biological processes to remove organic matter using microbial communities. The present study elucidates the distributions of microbial communities and potential pathogenic bacterial compositions from influent, activated sludge, and effluent of secondary clarifier samples from 10 WWTPs treating municipal (n = 5), hospital (n = 2), and livestock (n = 3) wastewater using 16S rRNA high-throughput amplicon sequencing. Despite the regional differences in location, similar microbial community compositions and pathogenic bacteria distributions were observed from WWTPs treating the same wastewater type. The highest operational taxonomic unit richness, phylogenetic diversity, and evenness were found in municipal WWTPs. Redundancy analysis showed that the concentration of phosphate significantly influences the abundance of pathogenic bacteria in WWTPs. The phylum Proteobacteria (37–68%) was the most dominant bacteria across all samples. Corynebacterium and Pseudomonas were the dominant potential pathogenic bacteria in livestock and municipal WWTPs; the two hospital WWTPs had Klebsiella and Pseudomonas as the dominant genera. The presence of pathogenic bacteria across multiple WWTP locations and wastewater types indicates the need for in-depth monitoring in various stages of wastewater treatment processes as well as in discharged wastewater.

Original languageEnglish
Article number17
JournalSustainable Environment Research
Volume35
Issue number1
DOIs
StatePublished - 2025.12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Activated sludge
  • High-throughput sequencing
  • Influent wastewater
  • Phylogenetic diversity
  • Wastewater treatment plant

Quacquarelli Symonds(QS) Subject Topics

  • Environmental Sciences
  • Engineering - Electrical & Electronic

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