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Cited by 253

The DOI matches its Crossref record; 82 of the 82 references it cites were found in a registry or an index.

Ongoing global and regional adaptive evolution of SARS-CoV-2

Open access
Rochman, Nash D., Wolf, Yuri I., Faure, Guilhem, Mutz, Pascal, Zhang, Feng, Koonin, Eugene V.·2021·Proceedings of the National Academy of Sciences

Abstract

Significance: Understanding the ongoing evolution of SARS-CoV-2 is essential to control and ultimately end the pandemic. We analyzed more than 300,000 SARS-CoV-2 genomes available as of January 2021 and demonstrate adaptive evolution of the virus that affects, primarily, multiple sites in the spike and nucleocapsid protein. Selection appears to act on combinations of mutations in these and other SARS-CoV-2 genes. Evolution of the virus is accompanied by ongoing adaptive diversification within and between geographic regions. This diversification could substantially prolong the pandemic and the vaccination campaign, in which variant-specific vaccines are likely to be required.

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Crossref · 10.1073/pnas.2104241118

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Metadata

Authors
Rochman, N. D., Wolf, Y. I., Faure, G., Mutz, P., Zhang, F., & Koonin, E. V.
Venue
Proceedings of the National Academy of Sciences
Published
2021-07-02
Volume
118
Issue
29
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W3179423943
Cited by
253
References
82
FWCI
16.36
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Ongoing global and regional adaptive evolution of SARS-CoV-2. https://app.cochat.ai/papers/10.1073/pnas.2104241118
The paper
Rochman, N. D., Wolf, Y. I., Faure, G., Mutz, P., Zhang, F., & Koonin, E. V. (2021). Ongoing global and regional adaptive evolution of SARS-CoV-2. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2104241118

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.