Evidence map›Paper›PMID 37502985›Full record

ArticlebioRxiv : the preprint server for biology2023

The recency and geographical origins of the bat viruses ancestral to SARS-CoV and SARS-CoV-2.

Jonathan E Pekar, Spyros Lytras, Mahan Ghafari, Andrew F Magee, Edyth Parker, Jennifer L Havens, Aris Katzourakis, Tetyana I Vasylyeva, Marc A Suchard, Alice C Hughes and 6 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 9 institutions in 4 countries.

Jonathan E PekarBioinformatics and Systems Biology Graduate Program, University of California San Diego, La Jolla, CA 92093, USA.
Spyros LytrasMedical Research Council-University of Glasgow Centre for Virus Research, Glasgow, UK.
Mahan GhafariDepartment of Biology, University of Oxford, Oxford, UK.
Andrew F MageeDepartment of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA.
Edyth ParkerDepartment of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA.
Jennifer L HavensBioinformatics and Systems Biology Graduate Program, University of California San Diego, La Jolla, CA 92093, USA.
Aris KatzourakisDepartment of Biology, University of Oxford, Oxford, UK.
Tetyana I VasylyevaDepartment of Medicine, University of California San Diego, La Jolla, CA 92093, USA.
Marc A SuchardDepartment of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA.
Alice C HughesSchool of Biological Sciences, University of Hong Kong, Hong Kong.
Joseph HughesMedical Research Council-University of Glasgow Centre for Virus Research, Glasgow, UK.
David L RobertsonMedical Research Council-University of Glasgow Centre for Virus Research, Glasgow, UK.
Simon DellicourSpatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, CP160/12, 50 av. FD Roosevelt, 1050, Bruxelles, Belgium.
Michael WorobeyDepartment of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA.
Joel O WertheimDepartment of Medicine, University of California San Diego, La Jolla, CA 92093, USA.
Philippe LemeyDepartment of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory for Clinical and Epidemiological Virology, KU Leuven, Leuven, Belgium.
University of California San Diego · USMRC University of Glasgow Centre for Virus Research · GBUniversity of California, Los Angeles · USUniversity of Oxford · GBRega Institute for Medical Research · BEScripps Research Institute · USUniversité Libre de Bruxelles · BEUniversity of Arizona · USUniversity of Hong Kong · HK

Funding

Technology CoreU19AI135995 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI Robert F Garry · 2018 to 2026
$32.0M
San Diego Biomedical Informatics Education & Research (SABER)T15LM011271 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHAMIM NEMATI · 2012 to 2026
$9.7M
Fast and flexible Bayesian phylogenetics via modern machine learningR01AI162611 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI MATSEN, FREDERICK ALBERT · 2021 to 2025
$3.8M
Automation and Evaluation of Real-Time Transmission Network-Based HIV Prevention Services in New York CityR01AI135992 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WERTHEIM, JOEL OKRENT · 2018 to 2022
$3.6M
Statistical Innovation to Integrate Sequences and Phenotypes for Scalable Phylodynamic InferenceR01AI153044 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Marc A. Suchard · 2021 to 2026
$2.4M
NIAID NIH HHS R01 AI135992NIAID NIH HHS R01 AI153044NIAID NIH HHS R01 AI162611NIAID NIH HHS U19 AI135995NLM NIH HHS T15 LM011271Wellcome Trust
6 · The paper itself

Abstract

The emergence of SARS-CoV in 2002 and SARS-CoV-2 in 2019 has led to increased sampling of related sarbecoviruses circulating primarily in horseshoe bats. These viruses undergo frequent recombination and exhibit spatial structuring across Asia. Employing recombination-aware phylogenetic inference on bat sarbecoviruses, we find that the closest-inferred bat virus ancestors of SARS-CoV and SARS-CoV-2 existed just ~1-3 years prior to their emergence in humans. Phylogeographic analyses examining the movement of related sarbecoviruses demonstrate that they traveled at similar rates to their horseshoe bat hosts and have been circulating for thousands of years in Asia. The closest-inferred bat virus ancestor of SARS-CoV likely circulated in western China, and that of SARS-CoV-2 likely circulated in a region comprising southwest China and northern Laos, both a substantial distance from where they emerged. This distance and recency indicate that the direct ancestors of SARS-CoV and SARS-CoV-2 could not have reached their respective sites of emergence via the bat reservoir alone. Our recombination-aware dating and phylogeographic analyses reveal a more accurate inference of evolutionary history than performing only whole-genome or single gene analyses. These results can guide future sampling efforts and demonstrate that viral genomic fragments extremely closely related to SARS-CoV and SARS-CoV-2 were circulating in horseshoe bats, confirming their importance as the reservoir species for SARS viruses.

Identifiers

PMID37502985
PMCPMC10369958
OpenAlexW4384008645

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.