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Temporal disturbance of a model stream ecosystem by high microbial diversity from treated wastewater.
Stach, Tom L; Sieber, Guido; Shah, Manan; Simon, Sophie A; Soares, André; Bornemann, Till L V; Plewka, Julia; Künkel, Julian; Becker, Christian; Meyer, Folker; Boenigk, Jens; Probst, Alexander J.
Afiliação
  • Stach TL; Environmental Metagenomics, Research Center One Health Ruhr of the University Alliance Ruhr, Faculty of Chemistry, University of Duisburg-Essen, Essen, Germany.
  • Sieber G; Department of Biodiversity, University of Duisburg-Essen, Essen, Germany.
  • Shah M; Environmental Metagenomics, Research Center One Health Ruhr of the University Alliance Ruhr, Faculty of Chemistry, University of Duisburg-Essen, Essen, Germany.
  • Simon SA; Department of Biodiversity, University of Duisburg-Essen, Essen, Germany.
  • Soares A; Environmental Metagenomics, Research Center One Health Ruhr of the University Alliance Ruhr, Faculty of Chemistry, University of Duisburg-Essen, Essen, Germany.
  • Bornemann TLV; Environmental Metagenomics, Research Center One Health Ruhr of the University Alliance Ruhr, Faculty of Chemistry, University of Duisburg-Essen, Essen, Germany.
  • Plewka J; Environmental Metagenomics, Research Center One Health Ruhr of the University Alliance Ruhr, Faculty of Chemistry, University of Duisburg-Essen, Essen, Germany.
  • Künkel J; Environmental Metagenomics, Research Center One Health Ruhr of the University Alliance Ruhr, Faculty of Chemistry, University of Duisburg-Essen, Essen, Germany.
  • Becker C; Environmental Metagenomics, Research Center One Health Ruhr of the University Alliance Ruhr, Faculty of Chemistry, University of Duisburg-Essen, Essen, Germany.
  • Meyer F; Cologne Center for Genomics (CCG), Cologne, Germany.
  • Boenigk J; Institute for Artificial Intelligence, University of Duisburg-Essen, Essen, Germany.
  • Probst AJ; Department of Biodiversity, University of Duisburg-Essen, Essen, Germany.
Microbiologyopen ; 12(2): e1347, 2023 04.
Article em En | MEDLINE | ID: mdl-37186231
ABSTRACT
Microbial communities in freshwater streams play an essential role in ecosystem functioning via biogeochemical cycling. Yet, the impacts of treated wastewater influx into stream ecosystems on microbial strain diversity remain mostly unexplored. Here, we coupled full-length 16S ribosomal RNA gene Nanopore sequencing and strain-resolved metagenomics to investigate the impact of treated wastewater on a mesocosm system (AquaFlow) run with restored river water. Over 10 days, community Bray-Curtis dissimilarities between treated and control mesocosm decreased (0.57 ± 0.058 to 0.26 ± 0.046) based on ribosomal protein S3 gene clustering, finally converging to nearly identical communities. Similarly, strain-resolved metagenomics revealed a high diversity of bacteria and viruses after the introduction of treated wastewater; these microbes also decreased over time resulting in the same strain clusters in control and treatment at the end of the experiment. Specifically, 39.2% of viral strains detected in all samples were present after the introduction of treated wastewater only. Although bacteria present at low abundance in the treated wastewater introduced additional antibiotic resistance genes, signals of naturally occurring ARG-encoding organisms resembled the resistome at the endpoint. Our results suggest that the previously stressed freshwater stream and its microbial community are resilient to a substantial introduction of treated wastewater.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecossistema / Microbiota Idioma: En Revista: Microbiologyopen Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecossistema / Microbiota Idioma: En Revista: Microbiologyopen Ano de publicação: 2023 Tipo de documento: Article