Evidence map›Paper›PMID 39196812›Full record

ArticleeLife2024

Recent evolutionary origin and localized diversity hotspots of mammalian coronaviruses.

Renan Maestri, Benoît Perez-Lamarque, Anna Zhukova, Hélène Morlon

Abstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  3. Review
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  6. 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

4 authors.

Renan Maestri *Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSL, Paris, France.ORCID https://orcid.org/0000-0001-9134-2943
Benoît Perez-Lamarque *Institut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSL, Paris, France.ORCID https://orcid.org/0000-0001-7112-7197
Anna ZhukovaInstitut Pasteur, Université Paris Cité, Bioinformatics and Biostatistics Hub, Paris, France.
Hélène MorlonInstitut de Biologie de l'École Normale Supérieure (IBENS), École Normale Supérieure, CNRS, INSERM, Université PSL, Paris, France.

Funding

GENCI-IDRIS 2021-A0100312405GENCI-IDRIS 2022-AD010313735One Health/Make Our Planet Great Again Program 3--5017338047
6 · The paper itself

Abstract

Several coronaviruses infect humans, with three, including the SARS-CoV2, causing diseases. While coronaviruses are especially prone to induce pandemics, we know little about their evolutionary history, host-to-host transmissions, and biogeography. One of the difficulties lies in dating the origination of the family, a particularly challenging task for RNA viruses in general. Previous cophylogenetic tests of virus-host associations, including in the Coronaviridae family, have suggested a virus-host codiversification history stretching many millions of years. Here, we establish a framework for robustly testing scenarios of ancient origination and codiversification

Indexed as

ChiropteraCoronavirusMammalsAnimalsBiological EvolutionEuropeEvolution, MolecularGenetic VariationHost SpecificityHumansPhylogenySARS-CoV-2codiversificationcoevolutioncoronavirus evolutiondiversity of coronavirusesepidemiologyevolutionary biologyglobal healthhumanparasite diversificationpreferential host switchingvirus

Identifiers

PMID39196812
PMCPMC11357359

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.