Evidence map›Paper›PMID 29795788›Full record

ArticlemSystems

Viromic Analysis of Wastewater Input to a River Catchment Reveals a Diverse Assemblage of RNA Viruses.

Evelien M Adriaenssens, Kata Farkas, Christian Harrison, David L Jones, Heather E Allison, Alan J McCarthy

Open access · goldAbstract read
In one paragraph

Article in mSystems. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

39 citing papers in PubMed, 87 citations in OpenAlex.

  1. Article
  2. Picobirnavirus: how do you find where it's hiding?Critical reviews in microbiology · 2026
    Review
  3. Article
  4. Article
  5. Wastewater Metavirome Diversity: Exploring Replicate Inconsistencies and Bioinformatic Tool Disparities.International journal of environmental research and public health · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. RNA-Seq Virus Fraction in Lake Baikal and Treated Wastewaters.International journal of molecular sciences · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Temporal variations of human and animalFrontiers in microbiology · 2022
    Article
  17. Article
  18. Review
  19. Article
  20. Article
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 2 institutions in 1 country.

Evelien M AdriaenssensMicrobiology Research Group, Institute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom.ORCID https://orcid.org/0000-0003-4826-5406
Kata FarkasSchool of Environment, Natural Resources and Geography, Bangor University, Bangor, United Kingdom.
Christian HarrisonMicrobiology Research Group, Institute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom.
David L JonesSchool of Environment, Natural Resources and Geography, Bangor University, Bangor, United Kingdom.
Heather E AllisonMicrobiology Research Group, Institute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom.ORCID https://orcid.org/0000-0003-0017-7992
Alan J McCarthyMicrobiology Research Group, Institute of Integrative Biology, University of Liverpool, Liverpool, United Kingdom.
University of Liverpool · GBBangor University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detection of viruses in the environment is heavily dependent on PCR-based approaches that require reference sequences for primer design. While this strategy can accurately detect known viruses, it will not find novel genotypes or emerging and invasive viral species. In this study, we investigated the use of viromics, i.e., high-throughput sequencing of the biosphere's viral fraction, to detect human-/animal-pathogenic RNA viruses in the Conwy river catchment area in Wales, United Kingdom. Using a combination of filtering and nuclease treatment, we extracted the viral fraction from wastewater and estuarine river water and sediment, followed by high-throughput RNA sequencing (RNA-Seq) analysis on the Illumina HiSeq platform, for the discovery of RNA virus genomes. We found a higher richness of RNA viruses in wastewater samples than in river water and sediment, and we assembled a complete norovirus genotype GI.2 genome from wastewater effluent, which was not contemporaneously detected by conventional reverse transcription-quantitative PCR (qRT-PCR). The simultaneous presence of diverse rotavirus signatures in wastewater indicated the potential for zoonotic infections in the area and suggested runoff from pig farms as a possible origin of these viruses. Our results show that viromics can be an important tool in the discovery of pathogenic viruses in the environment and can be used to inform and optimize reference-based detection methods provided appropriate and rigorous controls are included.

Indexed as

noroviruspathogen detectionRNA virusesrotavirusviromicswastewater

Identifiers

PMID29795788
PMCPMC5964442
OpenAlexW2790157801

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.