Evidence map›Paper›PMID 32688150›Full record

ArticleWater research2020

Metagenomic water quality monitoring with a portable laboratory.

Kishor Acharya, Adrian Blackburn, Jemila Mohammed, Alemseged Tamiru Haile, Andualem Mekonnen Hiruy, David Werner

Open access · hybridAbstract read
In one paragraph

Article in Water research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
7.1field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 97 citations in OpenAlex.

  1. Article
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  4. Quantitative metagenomics using a portable protocol.Applied and environmental microbiology · 2026
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  5. Article
  6. Review
  7. Review
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  9. Review
  10. Analysis of metagenomic data.Nature reviews. Methods primers · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Kishor AcharyaSchool of Engineering, Newcastle University, Newcastle upon Tyne, NE1 7RU, United Kingdom.
Adrian BlackburnSchool of Engineering, Newcastle University, Newcastle upon Tyne, NE1 7RU, United Kingdom.
Jemila MohammedInternational Water Management Institute (IWMI), Addis Ababa, Ethiopia; Addis Ababa Water and Sewerage Authority (AAWSA), Addis Ababa, Ethiopia; Centre for Environmental Science, Addis Ababa University, P.O.Box 1176, Addis Ababa, Ethiopia.
Alemseged Tamiru HaileInternational Water Management Institute (IWMI), Addis Ababa, Ethiopia.
Andualem Mekonnen HiruyCentre for Environmental Science, Addis Ababa University, P.O.Box 1176, Addis Ababa, Ethiopia.
David WernerSchool of Engineering, Newcastle University, Newcastle upon Tyne, NE1 7RU, United Kingdom. Electronic address: david.werner@ncl.ac.uk.
Newcastle University · GBInternational Water Management Institute · ETAddis Ababa University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 24-72 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.

Indexed as

WaterWater QualityEthiopiaHigh-Throughput Nucleotide SequencingMetagenomeMetagenomicsRNA, Ribosomal, 16SRNA, Ribosomal, 16SWaterFecal source trackingField kitsMetagenomicsMinION nanopore sequencingWaterborne hazardsWater quality

Identifiers

PMID32688150
PMCPMC7347499
OpenAlexW3041487770

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.