Evidence map›Paper›PMID 34289344›Full record

ArticleCell2021

A selective sweep in the Spike gene has driven SARS-CoV-2 human adaptation.

Lin Kang, Guijuan He, Amanda K Sharp, Xiaofeng Wang, Anne M Brown, Pawel Michalak, James Weger-Lucarelli

Open access · bronzeAbstract read
In one paragraph

Article in Cell, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
6.0field-weighted citation impact, top 3% of its field
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

59 citing papers in PubMed, 108 citations in OpenAlex.

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  6. Integrated framework to study genomic surveillance of selective sweeps in multivariants dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  9. Molecular mechanisms of SARS-CoV-2 entry: implications for biomedical strategies.Microbiology and molecular biology reviews : MMBR · 2025
    Review
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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

7 authors at 2 institutions in 2 countries.

Lin KangEdward Via College of Osteopathic Medicine, Monroe, LA 71203, USA; Department of Biomedical Sciences and Pathobiology, VA-MD Regional College of Veterinary Medicine, Virginia Tech, Blacksburg, VA 24060, USA.
Guijuan HeSchool of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA 24061, USA.
Amanda K SharpProgram in Genetics, Bioinformatics, and Computational Biology (GBCB), Virginia Tech, Blacksburg, VA 24061, USA.
Xiaofeng WangSchool of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA 24061, USA.
Anne M BrownProgram in Genetics, Bioinformatics, and Computational Biology (GBCB), Virginia Tech, Blacksburg, VA 24061, USA; Research and Informatics, University Libraries, Virginia Tech, Blacksburg, VA 24061, USA; Department of Biochemistry, Virginia Tech, Blacksburg, VA 24061, USA.
Pawel MichalakEdward Via College of Osteopathic Medicine, Monroe, LA 71203, USA; Center for One Health Research, VA-MD Regional College of Veterinary Medicine, Blacksburg, VA 24060, USA; Institute of Evolution, University of Haifa, Haifa 3498838, Israel. Electronic address: pmichalak@vcom.edu.
James Weger-LucarelliDepartment of Biomedical Sciences and Pathobiology, VA-MD Regional College of Veterinary Medicine, Virginia Tech, Blacksburg, VA 24060, USA. Electronic address: weger@vt.edu.
Virginia Tech · USVirginia–Maryland College of Veterinary Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic underscores the need to better understand animal-to-human transmission of coronaviruses and adaptive evolution within new hosts. We scanned more than 182,000 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomes for selective sweep signatures and found a distinct footprint of positive selection located around a non-synonymous change (A1114G; T372A) within the spike protein receptor-binding domain (RBD), predicted to remove glycosylation and increase binding to human ACE2 (hACE2), the cellular receptor. This change is present in all human SARS-CoV-2 sequences but not in closely related viruses from bats and pangolins. As predicted, T372A RBD bound hACE2 with higher affinity in experimental binding assays. We engineered the reversion mutant (A372T) and found that A372 (wild-type [WT]-SARS-CoV-2) enhanced replication in human lung cells relative to its putative ancestral variant (T372), an effect that was 20 times greater than the well-known D614G mutation. Our findings suggest that this mutation likely contributed to SARS-CoV-2 emergence from animal reservoirs or enabled sustained human-to-human transmission.

Indexed as

Amino Acid SubstitutionAngiotensin-Converting Enzyme 2AnimalsCell LineChiropteraChlorocebus aethiopsCOVID-19Disease ReservoirsEvolution, MolecularGenome, ViralHumansModels, MolecularMutationPhylogenySARS-CoV-2Spike Glycoprotein, CoronavirusACE2 protein, humanAngiotensin-Converting Enzyme 2Spike Glycoprotein, Coronavirusspike protein, SARS-CoV-2COVID-19emergencemolecular virologySARS-CoV-2selective sweepspilloverviral adaptation

Identifiers

PMID34289344
PMCPMC8260498
OpenAlexW3182428057

What OpenQuestion holds

Textmetadata
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.