Metagenomic water quality monitoring with a portable laboratory

We describe the technical feasibility of metagenomic water quality analysis using only portable equipment, for example mini-vacuum pumps and filtration units, mini-centrifuges, mini-PCR machines and the memory-stick sized MinION of Oxford Nanopore Technologies, for the library preparation and sequen...

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Autores principales: Acharya, K., Blackburn, A., Mohammed, Jemila, Haile, Alemseged Tamiru, Hiruy, A.M., Werner, D.
Formato: Journal Article
Lenguaje:Inglés
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://hdl.handle.net/10568/109249
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author Acharya, K.
Blackburn, A.
Mohammed, Jemila
Haile, Alemseged Tamiru
Hiruy, A.M.
Werner, D.
author_browse Acharya, K.
Blackburn, A.
Haile, Alemseged Tamiru
Hiruy, A.M.
Mohammed, Jemila
Werner, D.
author_facet Acharya, K.
Blackburn, A.
Mohammed, Jemila
Haile, Alemseged Tamiru
Hiruy, A.M.
Werner, D.
author_sort Acharya, K.
collection Repository of Agricultural Research Outputs (CGSpace)
description We describe the technical feasibility of metagenomic water quality analysis using only portable equipment, for example mini-vacuum pumps and filtration units, mini-centrifuges, mini-PCR machines and the memory-stick sized MinION of Oxford Nanopore Technologies, for the library preparation and sequencing of 16S rRNA gene amplicons. Using this portable toolbox on site, we successfully characterized the microbiome of water samples collected from Birtley Sewage Treatment Plant, UK, and its environs. We also demonstrated the applicability of the portable metagenomics toolbox in a low-income country by surveying water samples from the Akaki River around Addis Ababa, Ethiopia. The 16S rRNA gene sequencing workflow, including DNA extraction, PCR amplification, sequencing library preparation, and sequencing was accomplished within one working day. The metagenomic data became available within 24e72 h, depending on internet speed. Metagenomic analysis clearly distinguished the microbiome of pristine samples from sewage influenced water samples. Metagenomic analysis identified the potential role of two bacterial genera not conventionally monitored, Arcobacter and Aeromonas, as predominant faecal pollution indicators/waterborne hazards. Subsequent quantitative PCR analysis validated the high Arcobacter butzleri abundances observed in the urban influenced Akaki River water samples by portable next generation sequencing with the MinION device. Overall, our field deployable metagenomics toolbox advances the capability of scientists to comprehensively monitor microbiomes anywhere in the world, including in the water, food and drinks industries, the health services, agriculture and beyond.
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spelling CGSpace1092492024-06-26T10:18:10Z Metagenomic water quality monitoring with a portable laboratory Acharya, K. Blackburn, A. Mohammed, Jemila Haile, Alemseged Tamiru Hiruy, A.M. Werner, D. case studies costs portable equipment chemicophysical properties faecal coliforms waterborne diseases microbiological analysis wastewater treatment plants monitoring water analysis water quality We describe the technical feasibility of metagenomic water quality analysis using only portable equipment, for example mini-vacuum pumps and filtration units, mini-centrifuges, mini-PCR machines and the memory-stick sized MinION of Oxford Nanopore Technologies, for the library preparation and sequencing of 16S rRNA gene amplicons. Using this portable toolbox on site, we successfully characterized the microbiome of water samples collected from Birtley Sewage Treatment Plant, UK, and its environs. We also demonstrated the applicability of the portable metagenomics toolbox in a low-income country by surveying water samples from the Akaki River around Addis Ababa, Ethiopia. The 16S rRNA gene sequencing workflow, including DNA extraction, PCR amplification, sequencing library preparation, and sequencing was accomplished within one working day. The metagenomic data became available within 24e72 h, depending on internet speed. Metagenomic analysis clearly distinguished the microbiome of pristine samples from sewage influenced water samples. Metagenomic analysis identified the potential role of two bacterial genera not conventionally monitored, Arcobacter and Aeromonas, as predominant faecal pollution indicators/waterborne hazards. Subsequent quantitative PCR analysis validated the high Arcobacter butzleri abundances observed in the urban influenced Akaki River water samples by portable next generation sequencing with the MinION device. Overall, our field deployable metagenomics toolbox advances the capability of scientists to comprehensively monitor microbiomes anywhere in the world, including in the water, food and drinks industries, the health services, agriculture and beyond. 2020-10 2020-09-07T12:13:29Z 2020-09-07T12:13:29Z Journal Article https://hdl.handle.net/10568/109249 en Open Access Elsevier Acharya, K.; Blackburn, A.; Mohammed, Jemila; Haile, Alemseged Tamiru; Hiruy, A. M.; Werner, D. 2020. Metagenomic water quality monitoring with a portable laboratory. Water Research, 184:116112. [doi: 10.1016/j.watres.2020.116112]
spellingShingle case studies
costs
portable equipment
chemicophysical properties
faecal coliforms
waterborne diseases
microbiological analysis
wastewater treatment plants
monitoring
water analysis
water quality
Acharya, K.
Blackburn, A.
Mohammed, Jemila
Haile, Alemseged Tamiru
Hiruy, A.M.
Werner, D.
Metagenomic water quality monitoring with a portable laboratory
title Metagenomic water quality monitoring with a portable laboratory
title_full Metagenomic water quality monitoring with a portable laboratory
title_fullStr Metagenomic water quality monitoring with a portable laboratory
title_full_unstemmed Metagenomic water quality monitoring with a portable laboratory
title_short Metagenomic water quality monitoring with a portable laboratory
title_sort metagenomic water quality monitoring with a portable laboratory
topic case studies
costs
portable equipment
chemicophysical properties
faecal coliforms
waterborne diseases
microbiological analysis
wastewater treatment plants
monitoring
water analysis
water quality
url https://hdl.handle.net/10568/109249
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