Stationary and portable sequencing-based approaches for tracing wastewater contamination in urban stormwater systems
Urban sewer systems consist of wastewater and stormwater sewers, of which only wastewater is processed before being discharged. Occasionally, misconnections or damages in the network occur, resulting in untreated wastewater entering natural water bodies via the stormwater system. Cultivation of faec...
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Published in | Scientific reports Vol. 8; no. 1; pp. 11907 - 13 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
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London
Nature Publishing Group UK
09.08.2018
Nature Publishing Group |
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Abstract | Urban sewer systems consist of wastewater and stormwater sewers, of which only wastewater is processed before being discharged. Occasionally, misconnections or damages in the network occur, resulting in untreated wastewater entering natural water bodies via the stormwater system. Cultivation of faecal indicator bacteria (e.g.
Escherichia coli
;
E
.
coli
) is the current standard for tracing wastewater contamination. This method is cheap but has limited specificity and mobility. Here, we compared the
E
.
coli
culturing approach with two sequencing-based methodologies (Illumina MiSeq 16S rRNA gene amplicon sequencing and Oxford Nanopore MinION shotgun metagenomic sequencing), analysing 73 stormwater samples collected in Stockholm. High correlations were obtained between
E
.
coli
culturing counts and frequencies of human gut microbiome amplicon sequences, indicating
E
.
coli
is indeed a good indicator of faecal contamination. However, the amplicon data further holds information on contamination source or alternatively how much time has elapsed since the faecal matter has entered the system. Shotgun metagenomic sequencing on a subset of the samples using a portable real-time sequencer, MinION, correlated well with the amplicon sequencing data. This study demonstrates the use of DNA sequencing to detect human faecal contamination in stormwater systems and the potential of tracing faecal contamination directly in the field. |
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AbstractList | Urban sewer systems consist of wastewater and stormwater sewers, of which only wastewater is processed before being discharged. Occasionally, misconnections or damages in the network occur, resulting in untreated wastewater entering natural water bodies via the stormwater system. Cultivation of faecal indicator bacteria (e.g. Escherichia coli; E. coli) is the current standard for tracing wastewater contamination. This method is cheap but has limited specificity and mobility. Here, we compared the E. coli culturing approach with two sequencing-based methodologies (Illumina MiSeq 16S rRNA gene amplicon sequencing and Oxford Nanopore MinION shotgun metagenomic sequencing), analysing 73 stormwater samples collected in Stockholm. High correlations were obtained between E. coli culturing counts and frequencies of human gut microbiome amplicon sequences, indicating E. coli is indeed a good indicator of faecal contamination. However, the amplicon data further holds information on contamination source or alternatively how much time has elapsed since the faecal matter has entered the system. Shotgun metagenomic sequencing on a subset of the samples using a portable real-time sequencer, MinION, correlated well with the amplicon sequencing data. This study demonstrates the use of DNA sequencing to detect human faecal contamination in stormwater systems and the potential of tracing faecal contamination directly in the field.Urban sewer systems consist of wastewater and stormwater sewers, of which only wastewater is processed before being discharged. Occasionally, misconnections or damages in the network occur, resulting in untreated wastewater entering natural water bodies via the stormwater system. Cultivation of faecal indicator bacteria (e.g. Escherichia coli; E. coli) is the current standard for tracing wastewater contamination. This method is cheap but has limited specificity and mobility. Here, we compared the E. coli culturing approach with two sequencing-based methodologies (Illumina MiSeq 16S rRNA gene amplicon sequencing and Oxford Nanopore MinION shotgun metagenomic sequencing), analysing 73 stormwater samples collected in Stockholm. High correlations were obtained between E. coli culturing counts and frequencies of human gut microbiome amplicon sequences, indicating E. coli is indeed a good indicator of faecal contamination. However, the amplicon data further holds information on contamination source or alternatively how much time has elapsed since the faecal matter has entered the system. Shotgun metagenomic sequencing on a subset of the samples using a portable real-time sequencer, MinION, correlated well with the amplicon sequencing data. This study demonstrates the use of DNA sequencing to detect human faecal contamination in stormwater systems and the potential of tracing faecal contamination directly in the field. Urban sewer systems consist of wastewater and stormwater sewers, of which only wastewater is processed before being discharged. Occasionally, misconnections or damages in the network occur, resulting in untreated wastewater entering natural water bodies via the stormwater system. Cultivation of faecal indicator bacteria (e.g. Escherichia coli; E. coli) is the current standard for tracing wastewater contamination. This method is cheap but has limited specificity and mobility. Here, we compared the E. coli culturing approach with two sequencing-based methodologies (Illumina MiSeq 16S rRNA gene amplicon sequencing and Oxford Nanopore MinION shotgun metagenomic sequencing), analysing 73 stormwater samples collected in Stockholm. High correlations were obtained between E. coli culturing counts and frequencies of human gut microbiome amplicon sequences, indicating E. coli is indeed a good indicator of faecal contamination. However, the amplicon data further holds information on contamination source or alternatively how much time has elapsed since the faecal matter has entered the system. Shotgun metagenomic sequencing on a subset of the samples using a portable real-time sequencer, MinION, correlated well with the amplicon sequencing data. This study demonstrates the use of DNA sequencing to detect human faecal contamination in stormwater systems and the potential of tracing faecal contamination directly in the field. Urban sewer systems consist of wastewater and stormwater sewers, of which only wastewater is processed before being discharged. Occasionally, misconnections or damages in the network occur, resulting in untreated wastewater entering natural water bodies via the stormwater system. Cultivation of faecal indicator bacteria (e.g. Escherichia coli ; E . coli ) is the current standard for tracing wastewater contamination. This method is cheap but has limited specificity and mobility. Here, we compared the E . coli culturing approach with two sequencing-based methodologies (Illumina MiSeq 16S rRNA gene amplicon sequencing and Oxford Nanopore MinION shotgun metagenomic sequencing), analysing 73 stormwater samples collected in Stockholm. High correlations were obtained between E . coli culturing counts and frequencies of human gut microbiome amplicon sequences, indicating E . coli is indeed a good indicator of faecal contamination. However, the amplicon data further holds information on contamination source or alternatively how much time has elapsed since the faecal matter has entered the system. Shotgun metagenomic sequencing on a subset of the samples using a portable real-time sequencer, MinION, correlated well with the amplicon sequencing data. This study demonstrates the use of DNA sequencing to detect human faecal contamination in stormwater systems and the potential of tracing faecal contamination directly in the field. |
ArticleNumber | 11907 |
Author | Hu, Yue O. O. Johansson, Sebastian Ndegwa, Nelson Käller, Max Logue, Jürg Brendan Huss, Mikael Fagerberg, Jens Lundeberg, Joakim Andersson, Anders F. Alneberg, Johannes |
Author_xml | – sequence: 1 givenname: Yue O. O. orcidid: 0000-0002-2025-2198 surname: Hu fullname: Hu, Yue O. O. organization: Science for Life Laboratory, Department of Gene Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Centre for Translational Microbiome Research, Department of Molecular, Tumour and Cell Biology, Karolinska Institutet – sequence: 2 givenname: Nelson orcidid: 0000-0002-5853-879X surname: Ndegwa fullname: Ndegwa, Nelson organization: Department of Medical Epidemiology and Biostatistics, Karolinska Institutet – sequence: 3 givenname: Johannes surname: Alneberg fullname: Alneberg, Johannes organization: Science for Life Laboratory, Department of Gene Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology – sequence: 4 givenname: Sebastian surname: Johansson fullname: Johansson, Sebastian organization: Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University – sequence: 5 givenname: Jürg Brendan surname: Logue fullname: Logue, Jürg Brendan organization: Science for Life Laboratory, Department of Gene Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Centre for Ecology and Evolution in Microbial Model Systems, Linnaeus University – sequence: 6 givenname: Mikael surname: Huss fullname: Huss, Mikael organization: Science for Life Laboratory, Department of Gene Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology – sequence: 7 givenname: Max surname: Käller fullname: Käller, Max organization: Science for Life Laboratory, Department of Gene Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology – sequence: 8 givenname: Joakim orcidid: 0000-0003-4313-1601 surname: Lundeberg fullname: Lundeberg, Joakim organization: Science for Life Laboratory, Department of Gene Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology – sequence: 9 givenname: Jens surname: Fagerberg fullname: Fagerberg, Jens organization: Stockholm Vatten och Avfall AB – sequence: 10 givenname: Anders F. orcidid: 0000-0002-3627-6899 surname: Andersson fullname: Andersson, Anders F. email: anders.andersson@scilifelab.se organization: Science for Life Laboratory, Department of Gene Technology, School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology |
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Snippet | Urban sewer systems consist of wastewater and stormwater sewers, of which only wastewater is processed before being discharged. Occasionally, misconnections or... |
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SubjectTerms | 45 45/22 45/41 45/77 631/61/168 704/172 Cattle Contamination DNA sequencing E coli Environmental Science Escherichia coli Fecal coliforms Feces Food processing industry Humanities and Social Sciences Intestinal microflora Microbiomes Miljövetenskap multidisciplinary rRNA 16S Science Science (multidisciplinary) Sewer systems Sewers Stormwater Wastewater Wastewater pollution |
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Title | Stationary and portable sequencing-based approaches for tracing wastewater contamination in urban stormwater systems |
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