Evidence map›Paper›PMID 15019585›Full record

ArticleInfection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases2004

Evidence from the evolutionary analysis of nucleotide sequences for a recombinant history of SARS-CoV.

Michael J Stanhope, James R Brown, Heather Amrine-Madsen

Abstract read
In one paragraph

Article in Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. The coronavirus recombination pathway.Cell host & microbe · 2023
    Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Sequence analysis of the spike gene ofJournal of veterinary science · 2017
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Phylogenetic perspectives on the epidemiology and origins of SARS and SARS-like coronaviruses.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2009
    Review
  16. Article
  17. Article
  18. The evolutionary genetics of viral emergence.Current topics in microbiology and immunology · 2007
    Review
  19. The molecular biology of coronaviruses.Advances in virus research · 2006
    Review
  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.

Michael J StanhopeBioinformatics Division, Genetics Research, GlaxoSmithKline, 1250 South Collegeville Road, Collegeville, PA 19426, USA. michael_j_stanhope@gsk.com
James R Brown
Heather Amrine-Madsen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The origins and evolutionary history of the Severe Acute Respiratory Syndrome (SARS) coronavirus (SARS-CoV) remain an issue of uncertainty and debate. Based on evolutionary analyses of coronavirus DNA sequences, encompassing an approximately 13kb stretch of the SARS-TOR2 genome, we provide evidence that SARS-CoV has a recombinant history with lineages of types I and III coronavirus. We identified a minimum of five recombinant regions ranging from 83 to 863bp in length and including the polymerase, nsp9, nsp10, and nsp14. Our results are consistent with a hypothesis of viral host jumping events, concomitant with the reassortment of bird and mammalian coronaviruses, a scenario analogous to earlier outbreaks of influenzae.

Indexed as

Evolution, MolecularRecombination, GeneticAnimalsBase SequenceHumansMolecular Sequence DataPhylogenySevere acute respiratory syndrome-related coronavirus

Identifiers

PMID15019585
PMCPMC7128439

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.