Evidence map›Paper›PMID 39702450›Full record

ArticleNature communications2024

Origin and cross-species transmission of bat coronaviruses in China.

Alice Latinne, Ben Hu, Kevin J Olival, Guangjian Zhu, Li-Biao Zhang, Hongying Li, Aleksei A Chmura, Hume E Field, Carlos Zambrana-Torrelio, Jonathan H Epstein and 5 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. PotentJournal of virology · 2026
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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

15 authors.

Alice Latinne *EcoHealth Alliance, New York, New York, USA.ORCID 0000-0003-1249-2025
Ben Hu *Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China.
Kevin J OlivalEcoHealth Alliance, New York, New York, USA.ORCID 0000-0003-3211-1875
Guangjian ZhuEcoHealth Alliance, New York, New York, USA.
Li-Biao ZhangGuangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou, China.
Hongying LiEcoHealth Alliance, New York, New York, USA.ORCID 0000-0002-5089-1134
Aleksei A ChmuraEcoHealth Alliance, New York, New York, USA.ORCID 0000-0001-5544-0431
Hume E FieldEcoHealth Alliance, New York, New York, USA.
Carlos Zambrana-TorrelioEcoHealth Alliance, New York, New York, USA.
Jonathan H EpsteinEcoHealth Alliance, New York, New York, USA.ORCID 0000-0002-1373-9301
Bei LiWuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China.
Wei ZhangWuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China.
Lin-Fa WangProgramme in Emerging Infectious Disease, Duke-NUS Medical School, Singapore, Singapore.ORCID 0000-0003-2752-0535
Zheng-Li ShiWuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China. zlshi@wh.iov.cn.
Peter DaszakEcoHealth Alliance, New York, New York, USA. daszak@ecohealthalliance.org.ORCID 0000-0002-2046-5695

Funding

Understanding the Risk of Bat Coronavirus EmergenceR01AI110964 · NIAID · ECOHEALTH ALLIANCE, INC. · PI DASZAK, PETER · 2014 to 2023
$4.3M
National Natural Science Foundation of China (National Science Foundation of China) 31770175NIAID NIH HHS R01 AI110964U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) R01AI110964
6 · The paper itself

Abstract

Bats are presumed reservoirs of diverse coronaviruses (CoVs) including progenitors of Severe Acute Respiratory Syndrome (SARS)-CoV and SARS-CoV-2, the causative agent of COVID-19. However, the evolution and diversification of these coronaviruses remains poorly understood. Here we use a Bayesian statistical framework and a large sequence data set from bat-CoVs (including 589 novel CoV sequences) in China to study their macroevolution, cross-species transmission and dispersal. We find that host-switching occurs more frequently and across more distantly related host taxa in alpha- than beta-CoVs, and is more highly constrained by phylogenetic distance for beta-CoVs. We show that inter-family and -genus switching is most common in Rhinolophidae and the genus Rhinolophus. Our analyses identify the host taxa and geographic regions that define hotspots of CoV evolutionary diversity in China that could help target bat-CoV discovery for proactive zoonotic disease surveillance. Finally, we present a phylogenetic analysis suggesting a likely origin for SARS-CoV-2 in Rhinolophus spp. bats.

Indexed as

Bayes TheoremChiropteraCOVID-19PhylogenySARS-CoV-2AlphacoronavirusAnimalsChinaCoronavirusDisease ReservoirsEvolution, MolecularHost SpecificityHumans

Identifiers

PMID39702450
PMCPMC11659393

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.