Evidence map›Paper›PMID 32507105›Full record

ArticleJournal of biomedical science2020

The origin and underlying driving forces of the SARS-CoV-2 outbreak.

Shu-Miaw Chaw, Jui-Hung Tai, Shi-Lun Chen, Chia-Hung Hsieh, Sui-Yuan Chang, Shiou-Hwei Yeh, Wei-Shiung Yang, Pei-Jer Chen, Hurng-Yi Wang

Abstract read
In one paragraph

Article in Journal of biomedical science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

58 citing papers in PubMed.

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  8. Genomic Surveillance of SARS-CoV-2 Variants in the Dominican Republic and Emergence of a Local Lineage.International journal of environmental research and public health · 2023
    Article
  9. Adaptive Evolution of the Spike Protein in Coronaviruses.Molecular biology and evolution · 2023
    Article
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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

9 authors.

Shu-Miaw ChawBiodiversity Research Center, Academia Sinica, Taipei, Taiwan.
Jui-Hung TaiBiodiversity Research Center, Academia Sinica, Taipei, Taiwan.
Shi-Lun ChenDepartment of Life Science, National Taiwan Normal University, Taipei, Taiwan.
Chia-Hung HsiehDepartment of Forestry and Nature Conservation, Chinese Culture University, Taipei, Taiwan.
Sui-Yuan ChangDepartment of Clinical Laboratory Sciences and Medical Biotechnology, College of Medicine, National Taiwan University, Taipei, Taiwan.
Shiou-Hwei YehDepartment of Microbiology, College of Medicine, National Taiwan University, Taipei, Taiwan.
Wei-Shiung YangGraduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.
Pei-Jer ChenGraduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.
Hurng-Yi WangGraduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan. hurngyi@ntu.edu.tw.ORCID http://orcid.org/0000-0003-1708-8734

Funding

College of Medicine, National Taiwan University NSC-131-5Ministry of Science and Technology, Taiwan 105-2628-B-002-015-MY3Ministry of Science and Technology, Taiwan 107-2321-B-002-004-National Taiwan University NTU-109L7806
6 · The paper itself

Abstract

backgroundSARS-CoV-2 began spreading in December 2019 and has since become a pandemic that has impacted many aspects of human society. Several issues concerning the origin, time of introduction to humans, evolutionary patterns, and underlying force driving the SARS-CoV-2 outbreak remain unclear.

methodGenetic variation in 137 SARS-CoV-2 genomes and related coronaviruses as of 2/23/2020 was analyzed.

resultAfter correcting for mutational bias, the excess of low frequency mutations on both synonymous and nonsynonymous sites was revealed which is consistent with the recent outbreak of the virus. In contrast to adaptive evolution previously reported for SARS-CoV during its brief epidemic in 2003, our analysis of SARS-CoV-2 genomes shows signs of relaxation. The sequence similarity in the spike receptor binding domain between SARS-CoV-2 and a sequence from pangolin is probably due to an ancient intergenomic introgression that occurred approximately 40 years ago. The current outbreak of SARS-CoV-2 was estimated to have originated on 12/11/2019 (95% HPD 11/13/2019-12/23/2019). The effective population size of the virus showed an approximately 20-fold increase from the onset of the outbreak to the lockdown of Wuhan (1/23/2020) and ceased to increase afterwards, demonstrating the effectiveness of social distancing in preventing its spread. Two mutations, 84S in orf8 protein and 251 V in orf3 protein, occurred coincidentally with human intervention. The former first appeared on 1/5/2020 and plateaued around 1/23/2020. The latter rapidly increased in frequency after 1/23/2020. Thus, the roles of these mutations on infectivity need to be elucidated. Genetic diversity of SARS-CoV-2 collected from China is two times higher than those derived from the rest of the world. A network analysis found that haplotypes collected from Wuhan were interior and had more mutational connections, both of which are consistent with the observation that the SARS-CoV-2 outbreak originated in China.

conclusionSARS-CoV-2 might have cryptically circulated within humans for years before being discovered. Data from the early outbreak and hospital archives are needed to trace its evolutionary path and determine the critical steps required for effective spreading.

Indexed as

Disease OutbreaksGenetic VariationGenome, ViralBetacoronavirusChinaCoronavirus InfectionsCOVID-19HumansPandemicsPneumonia, ViralSARS-CoV-2CoronavirusMutational biasPopulation geneticsPositive selection

Identifiers

PMID32507105
PMCPMC7276232

What OpenQuestion holds

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LicenceCC BY
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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.