Evidence map›Paper›PMID 34419160›Full record

ArticleInfectious diseases of poverty2021

Characterization of SARS-CoV-2 worldwide transmission based on evolutionary dynamics and specific viral mutations in the spike protein.

Jiluo Liu, Xi Chen, Yan Liu, Jiansheng Lin, Jiaying Shen, Hongwei Zhang, Jianhua Yin, Rui Pu, Yibo Ding, Guangwen Cao

Abstract read
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Article in Infectious diseases of poverty, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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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

10 authors.

Jiluo Liu *Department of Epidemiology, Second Military Medical University, 800 Xiangyin Road, Shanghai, 200433, China.
Xi Chen *Department of Epidemiology, Second Military Medical University, 800 Xiangyin Road, Shanghai, 200433, China.
Yan Liu *Department of Epidemiology, Second Military Medical University, 800 Xiangyin Road, Shanghai, 200433, China.
Jiansheng Lin *Department of Epidemiology, Second Military Medical University, 800 Xiangyin Road, Shanghai, 200433, China.
Jiaying ShenDepartment of Epidemiology, Second Military Medical University, 800 Xiangyin Road, Shanghai, 200433, China.
Hongwei ZhangDepartment of Epidemiology, Second Military Medical University, 800 Xiangyin Road, Shanghai, 200433, China.
Jianhua YinDepartment of Epidemiology, Second Military Medical University, 800 Xiangyin Road, Shanghai, 200433, China.
Rui PuDepartment of Epidemiology, Second Military Medical University, 800 Xiangyin Road, Shanghai, 200433, China.
Yibo DingDepartment of Epidemiology, Second Military Medical University, 800 Xiangyin Road, Shanghai, 200433, China.
Guangwen CaoDepartment of Epidemiology, Second Military Medical University, 800 Xiangyin Road, Shanghai, 200433, China. gcao@smmu.edu.cn.ORCID http://orcid.org/0000-0002-8094-1278

Funding

key discipline from the "3-year public health promotion" program of shanghai municipal health commission GWV-10.1-XK17ministry of science and technology of the people's republic of china 2018ZX10101003-001-003national natural science foundation of china 82041022scientific research project of shanghai science and technology commission 20431900404scientific research project of shanghai science and technology commission 20JC1410202
6 · The paper itself

Abstract

backgroundThe coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome-related coronavirus-2 (SARS-CoV-2) is pandemic. However, the origins and global transmission pattern of SARS-CoV-2 remain largely unknown. We aimed to characterize the origination and transmission of SARS-CoV-2 based on evolutionary dynamics.

methodsUsing the full-length sequences of SARS-CoV-2 with intact geographic, demographic, and temporal information worldwide from the GISAID database during 26 December 2019 and 30 November 2020, we constructed the transmission tree to depict the evolutionary process by the R package "outbreaker". The affinity of the mutated receptor-binding region of the spike protein to angiotensin-converting enzyme 2 (ACE2) was predicted using mCSM-PPI2 software. Viral infectivity and antigenicity were tested in ACE2-transfected HEK293T cells by pseudovirus transfection and neutralizing antibody test.

resultsFrom 26 December 2019 to 8 March 2020, early stage of the COVID-19 pandemic, SARS-CoV-2 strains identified worldwide were mainly composed of three clusters: the Europe-based cluster including two USA-based sub-clusters; the Asia-based cluster including isolates in China, Japan, the USA, Singapore, Australia, Malaysia, and Italy; and the USA-based cluster. The SARS-CoV-2 strains identified in the USA formed four independent clades while those identified in China formed one clade. After 8 March 2020, the clusters of SARS-CoV-2 strains tended to be independent and became "pure" in each of the major countries. Twenty-two of 60 mutations in the receptor-binding domain of the spike protein were predicted to increase the binding affinity of SARS-CoV-2 to ACE2. Of all predicted mutants, the number of E484K was the largest one with 86 585 sequences, followed by S477N with 55 442 sequences worldwide. In more than ten countries, the frequencies of the isolates with E484K and S477N increased significantly. V367F and N354D mutations increased the infectivity of SARS-CoV-2 pseudoviruses (P < 0.001). SARS-CoV-2 with V367F was more sensitive to the S1-targeting neutralizing antibody than the wild-type counterpart (P < 0.001).

conclusionsSARS-CoV-2 strains might have originated in several countries simultaneously under certain evolutionary pressure. Travel restrictions might cause location-specific SARS-CoV-2 clustering. The SARS-CoV-2 evolution appears to facilitate its transmission via altering the affinity to ACE2 or immune evasion.

Indexed as

Evolution, MolecularAntibodies, NeutralizingAntibodies, ViralCOVID-19HEK293 CellsHumansMutationPandemicsSARS-CoV-2Spike Glycoprotein, CoronavirusAntibodies, NeutralizingAntibodies, ViralSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2COVID-19Evolutionary dynamicsSARS-CoV-2Transmission

Identifiers

PMID34419160
PMCPMC8379592

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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.