Evidence map›Paper›PMID 29111455›Full record

ReviewVirus research2018

Meta-transcriptomics and the evolutionary biology of RNA viruses.

Mang Shi, Yong-Zhen Zhang, Edward C Holmes

Abstract readReview
In one paragraph

Review in Virus research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers.

0numbers the graph read from it
0cells of the map it votes in
85citing 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

85 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Integrating metagenomics and metatranscriptomics intoThe Journal of general virology · 2026
    Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Viral Diversity in Samples of Freshwater GastropodsInternational journal of molecular sciences · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. Review

25 more citing papers are in PubMed but not listed here.

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.

Mang ShiMarie Bashir Institute for Infectious Diseases and Biosecurity, Charles Perkins Centre, School of Life and Environmental Sciences and Sydney Medical School, The University of Sydney, Sydney, Australia; State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Zoonoses, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China.
Yong-Zhen ZhangState Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Zoonoses, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China.
Edward C HolmesMarie Bashir Institute for Infectious Diseases and Biosecurity, Charles Perkins Centre, School of Life and Environmental Sciences and Sydney Medical School, The University of Sydney, Sydney, Australia; State Key Laboratory for Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Department of Zoonoses, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Changping, Beijing, China. Electronic address: edward.holmes@sydney.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metagenomics is transforming the study of virus evolution, allowing the full assemblage of virus genomes within a host sample to be determined rapidly and cheaply. The genomic analysis of complete transcriptomes, so-called meta-transcriptomics, is providing a particularly rich source of data on the global diversity of RNA viruses and their evolutionary history. Herein we review some of the insights that meta-transcriptomics has provided on the fundamental patterns and processes of virus evolution, with a focus on the recent discovery of a multitude of novel invertebrate viruses. In particular, meta-transcriptomics shows that the RNA virus world is more fluid than previously realized, with relatively frequent changes in genome length and structure. As well as having a transformative impact on studies of virus evolution, meta-transcriptomics presents major new challenges for virus classification, with the greater sampling of host taxa now filling many of the gaps on virus phylogenies that were previously used to define taxonomic groups. Given that most viruses in the future will likely be characterized using metagenomics approaches, and that we have evidently only sampled a tiny fraction of the total virosphere, we suggest that proposals for virus classification pay careful attention to the wonders unearthed in this new age of virus discovery.

Indexed as

Evolution, MolecularAnimalsGenome, ViralHumansMetagenomicsPhylogenyRNA VirusesRNA Virus InfectionsClassificationEvolutionMetagenomicsMeta-transcriptomicsPhylogenyVirosphere

Identifiers

PMID29111455
PMCPMC7127328

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.