Evidence map›Paper›PMID 37014783›Full record

ArticleMolecular biology and evolution2023

Identification of RNA Virus-Derived RdRp Sequences in Publicly Available Transcriptomic Data Sets.

Ingrida Olendraite, Katherine Brown, Andrew E Firth

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Microbiology spectrum · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Promotion of orderJournal of virology · 2024
    Article
  16. Article
  17. Review
  18. ICTV Virus Taxonomy Profile:The Journal of general virology · 2024
    Article
  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

3 authors.

Ingrida OlendraiteDivision of Virology, Department of Pathology, Addenbrookes Hospital, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-6209-2233
Katherine BrownDivision of Virology, Department of Pathology, Addenbrookes Hospital, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-8400-6922
Andrew E FirthDivision of Virology, Department of Pathology, Addenbrookes Hospital, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-7986-9520

Funding

Wellcome TrustWellcome Trust 106207/Z/14/ZWellcome Trust 220814/Z/20/Z
6 · The paper itself

Abstract

RNA viruses are abundant and highly diverse and infect all or most eukaryotic organisms. However, only a tiny fraction of the number and diversity of RNA virus species have been catalogued. To cost-effectively expand the diversity of known RNA virus sequences, we mined publicly available transcriptomic data sets. We developed 77 family-level Hidden Markov Model profiles for the viral RNA-dependent RNA polymerase (RdRp)-the only universal "hallmark" gene of RNA viruses. By using these to search the National Center for Biotechnology Information Transcriptome Shotgun Assembly database, we identified 5,867 contigs encoding RNA virus RdRps or fragments thereof and analyzed their diversity, taxonomic classification, phylogeny, and host associations. Our study expands the known diversity of RNA viruses, and the 77 curated RdRp Profile Hidden Markov Models provide a useful resource for the virus discovery community.

Indexed as

RNA VirusesTranscriptomeGenome, ViralPhylogenyRNA-Dependent RNA PolymeraseRNA, ViralRNA-Dependent RNA PolymeraseRNA, ViralOrthomyxoviridaepHMMRdRpRNA virussplicingvirus discovery

Identifiers

PMID37014783
PMCPMC10101049

What OpenQuestion holds

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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.