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Updated: Oct 27, 2025

In Vitro Selection of Aptamers to Differentiate Infectious from Non-Infectious Viruses
Published on: September 7, 2022
A selective sweep in the Spike gene has driven SARS-CoV-2 human adaptation
Lin Kang1, Guijuan He2, Amanda K Sharp3
1Edward 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.
A key mutation in the SARS-CoV-2 spike protein (T372A) significantly enhanced binding to human cells and viral replication. This finding suggests the mutation was crucial for the virus
Area of Science:
- Virology
- Evolutionary Biology
- Genomics
Background:
- The COVID-19 pandemic highlights the need to understand virus evolution and animal-to-human transmission.
- Coronaviruses, particularly SARS-CoV-2, have demonstrated significant adaptability to new hosts.
Purpose of the Study:
- To investigate the evolutionary mechanisms driving SARS-CoV-2 adaptation and transmission.
- To identify specific genetic mutations contributing to the virus's success in humans.
Main Methods:
- Genome-wide analysis of over 182,000 SARS-CoV-2 genomes to detect positive selection.
- Identification of a specific mutation (T372A) in the spike protein's receptor-binding domain (RBD).
- Experimental validation of the mutation's impact on ACE2 binding and viral replication in human lung cells.
Main Results:
- A distinct footprint of positive selection was found around the T372A mutation in the SARS-CoV-2 spike protein RBD.
- This mutation is present in all human SARS-CoV-2 strains but absent in related bat and pangolin viruses.
- The T372A mutation significantly increased binding affinity to human ACE2 and enhanced viral replication in human lung cells, surpassing the effect of the D614G mutation.
Conclusions:
- The T372A mutation likely played a critical role in the emergence of SARS-CoV-2 in humans or its sustained human-to-human transmission.
- Understanding such adaptive mutations is crucial for predicting and mitigating future zoonotic threats.
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