Evidence map›Paper›PMID 24184128›Full record

ReviewAntiviral research2014

Ecology, evolution and classification of bat coronaviruses in the aftermath of SARS.

Jan Felix Drexler, Victor Max Corman, Christian Drosten

Abstract readReview
In one paragraph

Review in Antiviral research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 239 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
239citing papers in PubMed, 4 pooled it
–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

239 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Neurological manifestations of COVID-19: a systematic review and meta-analysis of proportions.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2020
    Pooled it
  4. Pooled it
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Metagenomic analysis of viral diversity in Portuguese bats.Veterinary research communications · 2025
    Article
  13. ISME communications · 2025
    Article
  14. Virus evolution · 2025
    Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. Article

179 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.

Jan Felix DrexlerInstitute of Virology, University of Bonn Medical Centre, Germany. Electronic address: drexler@virology-bonn.de.
Victor Max CormanInstitute of Virology, University of Bonn Medical Centre, Germany.
Christian DrostenInstitute of Virology, University of Bonn Medical Centre, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2002/2003, a novel coronavirus (CoV) caused a pandemic, infecting more than 8000 people, of whom nearly 10% died. This virus, termed severe acute respiratory syndrome-CoV was linked to a zoonotic origin from rhinolophid bats in 2005. Since then, numerous studies have described novel bat CoVs, including close relatives of the newly emerging Middle East respiratory syndrome (MERS)-CoV. In this paper we discuss CoV genomic properties and compare different taxonomic approaches in light of the technical difficulties of obtaining full genomic sequences directly from bat specimens. We first present an overview of the available studies on bat CoVs, with details on their chiropteran hosts, then comparatively analyze the increase in bat CoV studies and novel genomic sequences obtained since the SARS pandemic. We then conduct a comprehensive phylogenetic analysis of the genera Alpha- and Betacoronavirus, to show that bats harbour more CoV diversity than other mammalian hosts and are widely represented in most, but not all parts of the tree of mammalian CoVs. We next discuss preliminary evidence for phylogenetic co-segregation of CoVs and bat hosts encompassing the Betacoronavirus clades b and d, with an emphasis on the sampling bias that exists among bat species and other mammals, then present examples of CoVs infecting different hosts on the one hand and viruses apparently confined to host genera on the other. We also demonstrate a geographic bias within available studies on bat CoVs, and identify a critical lack of information from biodiversity hotspots in Africa, Asia and Latin America. We then present evidence for a zoonotic origin of four of the six known human CoVs (HCoV), three of which likely involved bats, namely SARS-CoV, MERS-CoV and HCoV-229E; compare the available data on CoV pathogenesis in bats to that in other mammalian hosts; and discuss hypotheses on the putative insect origins of CoV ancestors. Finally, we suggest caution with conclusions on the zoonotic potential of bat viruses, based only on genomic sequence data, and emphasize the need to preserve these ecologically highly relevant animals. This paper forms part of a symposium in Antiviral Research on "from SARS to MERS: 10years of research on highly pathogenic human coronaviruses".

Indexed as

EcologyAfricaAnimalsAsiaChiropteraCluster AnalysisCoronaviridaeCoronavirus InfectionsEvolution, MolecularGenome, ViralHumansLatin AmericaMiddle EastPhylogeographyZoonosesAlphacoronavirusBatsBetacoronavirusCoronaviridaeTaxonomyZoonosis

Identifiers

PMID24184128
PMCPMC7113851

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.