Evidence map›Paper›PMID 28798873›Full record

ArticleVirus evolution2017

A novel viral lineage distantly related to herpesviruses discovered within fish genome sequence data.

Amr Aswad, Aris Katzourakis

Abstract read
In one paragraph

Article in Virus evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. A New Sturgeon Herpesvirus from Juvenile Lake SturgeonPathogens (Basel, Switzerland) · 2023
    Article
  4. Article
  5. Frontiers in veterinary science · 2023
    Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Giant Transposons in Eukaryotes: Is Bigger Better?Genome biology and evolution · 2019
    Review
  13. Article
  14. RNA viruses in trypanosomatid parasites: a historical overview.Memorias do Instituto Oswaldo Cruz · 2018
    Review
  15. Fusion ofZoological letters · 2018
    Article
  16. Review
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

2 authors.

Amr AswadDepartment of Zoology, University of Oxford, South Parks Road, OX1 3PS Oxford, UK.
Aris KatzourakisDepartment of Zoology, University of Oxford, South Parks Road, OX1 3PS Oxford, UK.ORCID 0000-0003-3328-6204

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathogenic viruses represent a small fraction of viral diversity, and emerging diseases are frequently the result of cross-species transmissions. Therefore, we need to develop high-throughput techniques to investigate a broader range of viral biodiversity across a greater number of species. This is especially important in the context of new practices in agriculture that have arisen to tackle the challenges of global food security, including the rising number of marine and freshwater species that are used in aquaculture. In this study, we demonstrate the utility of combining evolutionary approaches with bioinformatics to mine non-viral genome data for viruses, by adapting methods from paleovirology. We report the discovery of a new lineage of dsDNA viruses that are associated with at least fifteen different species of fish. This approach also enabled us to simultaneously identify sequences that likely represent endogenous viral elements, which we experimentally confirmed in commercial salmon samples. Moreover, genomic analysis revealed that the endogenous sequences have co-opted PiggyBac-like transposable elements, possibly as a mechanism of intragenomic proliferation. The identification of novel viruses from genome data shows that our approach has applications in genomics, virology, and the development of best practices for aquaculture and farming.

Indexed as

endogenous viral elementherpesvirusmetagenomicspaleovirology

Identifiers

PMID28798873
PMCPMC5544889

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Registered trials

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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.