Characterization of bacterial communities in wastewater with enhanced taxonomic resolution by full-length 16S rRNA sequencing.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
04 07 2019
Historique:
received: 08 02 2019
accepted: 21 06 2019
entrez: 6 7 2019
pubmed: 6 7 2019
medline: 27 10 2020
Statut: epublish

Résumé

Wastewater treatment is crucial to environmental hygiene in urban environments. However, wastewater treatment plants (WWTPs) collect chemicals, organic matter, and microorganisms including pathogens and multi-resistant bacteria from various sources which may be potentially released into the environment via WWTP effluent. To better understand microbial dynamics in WWTPs, we characterized and compared the bacterial community of the inflow and effluent of a WWTP in Berlin, Germany using full-length 16S rRNA gene sequences, which allowed for species level determination in many cases and generally resolved bacterial taxa. Significantly distinct bacterial communities were identified in the wastewater inflow and effluent samples. Dominant operational taxonomic units (OTUs) varied both temporally and spatially. Disease associated bacterial groups were efficiently reduced in their relative abundance from the effluent by the WWTP treatment process, except for Legionella and Leptospira species which demonstrated an increase in relative proportion from inflow to effluent. This indicates that WWTPs, while effective against enteric bacteria, may enrich and release other potentially pathogenic bacteria into the environment. The taxonomic resolution of full-length 16S rRNA genes allows for improved characterization of potential pathogenic taxa and other harmful bacteria which is required to reliably assess health risk.

Identifiants

pubmed: 31273307
doi: 10.1038/s41598-019-46015-z
pii: 10.1038/s41598-019-46015-z
pmc: PMC6609626
doi:

Substances chimiques

RNA, Ribosomal, 16S 0
Waste Water 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

9673

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Auteurs

Daniela Numberger (D)

Leibniz Institute for Zoo and Wildlife Research, Alfred-Kowalke-Straße 17, 10315, Berlin, Germany.

Lars Ganzert (L)

Leibniz Institute of Freshwater Ecology and Inland Fisheries, Alte Fischerhütte 2, 16775, Stechlin, Germany.
GFZ German Research Centre for Geosciences, Section 5.3 Geomicrobiology, Telegrafenberg C-422, 14473, Potsdam, Germany.
University of Göttingen, Experimental Phycology and Culture Collection of Algae (SAG), Nikolausberger Weg 18, 37073, Göttingen, Germany.

Luca Zoccarato (L)

Leibniz Institute of Freshwater Ecology and Inland Fisheries, Alte Fischerhütte 2, 16775, Stechlin, Germany.

Kristin Mühldorfer (K)

Leibniz Institute for Zoo and Wildlife Research, Alfred-Kowalke-Straße 17, 10315, Berlin, Germany.

Sascha Sauer (S)

Max Delbrück Center for Molecular Medicine in the Helmholtz Association (BIMSB/BIH), Robert-Rössle-Strasse 10, 13092, Berlin, Germany.

Hans-Peter Grossart (HP)

Leibniz Institute of Freshwater Ecology and Inland Fisheries, Alte Fischerhütte 2, 16775, Stechlin, Germany.
University of Potsdam, Institute of Biochemistry and Biology, Maulbeeralle 2, 14469, Potsdam, Germany.
Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Altensteinstrasse 32, 14195, Berlin, Germany.

Alex D Greenwood (AD)

Leibniz Institute for Zoo and Wildlife Research, Alfred-Kowalke-Straße 17, 10315, Berlin, Germany. greenwood@izw-berlin.de.
Freie Universität Berlin, Department of Veterinary Medicine, Institute for Virology, Robert von Ostertag-Straße 7-13, 14163, Berlin, Germany. greenwood@izw-berlin.de.

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Classifications MeSH