The DOI matches its Crossref record; 207 of the 207 references it cites were found in a registry or an index.
SARS-CoV-2 variant biology: immune escape, transmission and fitness
Open accessAbstract
In late 2020, after circulating for almost a year in the human population, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exhibited a major step change in its adaptation to humans. These highly mutated forms of SARS-CoV-2 had enhanced rates of transmission relative to previous variants and were termed ‘variants of concern’ (VOCs). Designated Alpha, Beta, Gamma, Delta and Omicron, the VOCs emerged independently from one another, and in turn each rapidly became dominant, regionally or globally, outcompeting previous variants. The success of each VOC relative to the previously dominant variant was enabled by altered intrinsic functional properties of the virus and, to various degrees, changes to virus antigenicity conferring the ability to evade a primed immune response. The increased virus fitness associated with VOCs is the result of a complex interplay of virus biology in the context of changing human immunity due to both vaccination and prior infection. In this Review, we summarize the literature on the relative transmissibility and antigenicity of SARS-CoV-2 variants, the role of mutations at the furin spike cleavage site and of non-spike proteins, the potential importance of recombination to virus success, and SARS-CoV-2 evolution in the context of T cells, innate immunity and population immunity. SARS-CoV-2 shows a complicated relationship among virus antigenicity, transmission and virulence, which has unpredictable implications for the future trajectory and disease burden of COVID-19. In this Review, the authors summarize the mutations harboured by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern. They describe the impact of mutations on virus infectivity and transmissibility, and discuss SARS-CoV-2 evolution in the context of T cells, innate immunity and population immunity.
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Hoffmann, M., Kleine-Weber, H., Schroeder, S., Krüger, N., Herrler, T., Erichsen, S., Schiergens, T. S., Herrler, G., Wu, N.-H., Nitsche, A., et al. (2020) · Cell · doi:10.1016/j.cell.2020.02.052 · Cited by 20,286
Coronaviridae Study Group of the International Committee on Taxonomy of Viruses, Gorbalenya, A. E., Baker, S. C., Baric, R. S., de Groot, R. J., Drosten, C., Gulyaeva, A. A., Haagmans, B. L., Lauber, C., Leontovich, A. M., et al. (2020) · Nature Microbiology · doi:10.1038/s41564-020-0695-z · Cited by 8,403
Structure of the SARS-CoV-2 spike receptor-binding domain bound to the ACE2 receptor
Lan, J., Ge, J., Yu, J., Shan, S., Zhou, H., Fan, S., Zhang, Q., Shi, X., Wang, Q., Zhang, L., et al. (2020) · Nature · doi:10.1038/s41586-020-2180-5 · Cited by 5,983
Characteristics of SARS-CoV-2 and COVID-19
Hu, B., Guo, H., Zhou, P., & Shi, Z.-L. (2021) · Nature Reviews Microbiology · doi:10.1038/s41579-020-00459-7 · Cited by 5,291
SARS-CoV-2 variants, spike mutations and immune escape
Harvey, W. T., Carabelli, A. M., Jackson, B., Gupta, R. K., Thomson, E. C., Harrison, E. M., Ludden, C., Reeve, R., Rambaut, A., COVID-19 Genomics UK (COG-UK) Consortium, et al. (2021) · Nature Reviews Microbiology · doi:10.1038/s41579-021-00573-0 · Cited by 3,528
Self-citationEffectiveness of Covid-19 Vaccines against the B.1.617.2 (Delta) Variant
Lopez Bernal, J., Andrews, N., Gower, C., Gallagher, E., Simmons, R., Thelwall, S., Stowe, J., Tessier, E., Groves, N., Dabrera, G., et al. (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2108891 · Cited by 2,889
Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England
Davies, N. G., Abbott, S., Barnard, R. C., Jarvis, C. I., Kucharski, A. J., Munday, J. D., Pearson, C. A. B., Russell, T. W., Tully, D. C., Washburne, A. D., et al. (2021) · Science · doi:10.1126/science.abg3055 · Cited by 2,581
Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England
Davies, N. G., Abbott, S., Barnard, R. C., Jarvis, C. I., Kucharski, A. J., Munday, J. D., Pearson, C. A. B., Russell, T. W., Tully, D. C., Washburne, A. D., et al. (2020) · doi:10.1101/2020.12.24.20248822 · Cited by 2,557
Detection of a SARS-CoV-2 variant of concern in South Africa
Tegally, H., Wilkinson, E., Giovanetti, M., Iranzadeh, A., Fonseca, V., Giandhari, J., Doolabh, D., Pillay, S., San, E. J., Msomi, N., et al. (2021) · Nature · doi:10.1038/s41586-021-03402-9 · Cited by 2,510
Effectiveness of COVID-19 vaccines against the Omicron (B.1.1.529) variant of concern
Andrews, N., Stowe, J., Kirsebom, F., Toffa, S., Rickeard, T., Gallagher, E., Gower, C., Kall, M., Groves, N., O’Connell, A.-M., et al. (2021) · doi:10.1101/2021.12.14.21267615 · Cited by 2,420
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Yisimayi, A., Song, W., Wang, J., Jian, F., Yu, Y., Chen, X., Xu, Y., Yang, S., Niu, X., Xiao, T., et al. (2024) · Nature · doi:10.1038/s41586-023-06753-7 · Cited by 253
Moriyama, S., Anraku, Y., Taminishi, S., Adachi, Y., Kuroda, D., Kita, S., Higuchi, Y., Kirita, Y., Kotaki, R., Tonouchi, K., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-39890-8 · Cited by 22
The comprehensive SARS-CoV-2 ‘hijackome’ knowledge base
Huuskonen, S., Liu, X., Pöhner, I., Redchuk, T., Salokas, K., Lundberg, R., Maljanen, S., Belik, M., Reinholm, A., Kolehmainen, P., et al. (2024) · Cell Discovery · doi:10.1038/s41421-024-00748-y · Cited by 12
Neutralization of Omicron XBB.1 by booster vaccination with BA.4/5 monovalent mRNA vaccine
Zhao, H., Zhang, N.-N., Hannawi, S., Zhu, A.-R., Xiong, X.-C., Huang, Y.-J., Yu, D.-D., Chen, C.-J., Dai, J., Abuquta, A., et al. (2024) · Cell Discovery · doi:10.1038/s41421-023-00609-0 · Cited by 5
Dynamic expedition of leading mutations in SARS-CoV-2 spike glycoproteins
Hasan, M., He, Z., Jia, M., Leung, A. C. F., Natarajan, K., Xu, W., Yap, S., Zhou, F., Chen, S., Su, H., et al. (2024) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2024.05.037 · Cited by 3
Metadata
- Authors
- Carabelli, A. M., Peacock, T. P., Thorne, L. G., Harvey, W. T., Hughes, J., COVID-19 Genomics UK Consortium, de Silva, T. I., Peacock, S. J., Barclay, W. S., de Silva, T. I., Towers, G. J., & Robertson, D. L.
- Venue
- Nature Reviews Microbiology
- Published
- 2023-01-18
- Volume
- 21
- Issue
- 3
- Pages
- 162-177
- ISSN
- 1740-1526 (ISSN-L)
- 1740-1534
- OpenAlex
- W4317212025
- Cited by
- 1,291
- References
- 207
- FWCI
- 75.48
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Carabelli, A. M., Peacock, T. P., Thorne, L. G., Harvey, W. T., Hughes, J., COVID-19 Genomics UK Consortium, de Silva, T. I., Peacock, S. J., Barclay, W. S., de Silva, T. I., Towers, G. J., & Robertson, D. L. (2023). SARS-CoV-2 variant biology: immune escape, transmission and fitness. Nature Reviews Microbiology. https://doi.org/10.1038/s41579-022-00841-7
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