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Type
ArticleAuthors
Duarte, Carlos M.
Ketcheson, David I.

Eguíluz, Víctor M
Agusti, Susana

Fernández-Gracia, Juan
Jamil, Tahira
Laiolo, Elisa
Gojobori, Takashi

Alam, Intikhab
KAUST Department
Applied Mathematics and Computational Science ProgramBiological and Environmental Science and Engineering (BESE) Division
Bioscience Program
Computational Bioscience Research Center (CBRC)
Computational Bioscience Research Centre (CBRC), King Abdullah University of Science and Technology, Thuwal, 23955, Saudi Arabia
Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Extreme Computing Research Center
Marine Science Program
Numerical Mathematics Group
Red Sea Research Center (RSRC)
Date
2022-04-19Permanent link to this record
http://hdl.handle.net/10754/676450
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Show full item recordAbstract
The race between pathogens and their hosts is a major evolutionary driver, where both reshuffle their genomes to overcome and reorganize the defenses for infection, respectively. Evolutionary theory helps formulate predictions on the future evolutionary dynamics of SARS-CoV-2, which can be monitored through unprecedented real-time tracking of SARS-CoV-2 population genomics at the global scale. Here we quantify the accelerating evolution of SARS-CoV-2 by tracking the SARS-CoV-2 mutation globally, with a focus on the Receptor Binding Domain (RBD) of the spike protein determining infection success. We estimate that the > 820 million people that had been infected by October 5, 2021, produced up to 1021 copies of the virus, with 12 new effective RBD variants appearing, on average, daily. Doubling of the number of RBD variants every 89 days, followed by selection of the most infective variants challenges our defenses and calls for a shift to anticipatory, rather than reactive tactics involving collaborative global sequencing and vaccinationCitation
Duarte, C. M., Ketcheson, D. I., Eguíluz, V. M., Agustí, S., Fernández-Gracia, J., Jamil, T., Laiolo, E., Gojobori, T., & Alam, I. (2022). Rapid evolution of SARS-CoV-2 challenges human defenses. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-10097-zSponsors
Funded by King Abdullah University of Science and technology through research made available to the Computational BioScience Research Center, CMD and TG. TG. VME and JFG acknowledge funding from “la Caixa” Foundation under the project code SR20-00386 (COVID-SHINE). JFG was supported by Direcció General de Política Universitària i Recerca from the government of the Balearic Islands through the postdoctoral program Vicenç MutPublisher
Springer Science and Business Media LLCJournal
Scientific reportsPubMed ID
35440671Additional Links
https://www.nature.com/articles/s41598-022-10097-zae974a485f413a2113503eed53cd6c53
10.1038/s41598-022-10097-z
Scopus Count
Collections
Articles; Biological and Environmental Science and Engineering (BESE) Division; Red Sea Research Center (RSRC); Bioscience Program; Marine Science Program; Applied Mathematics and Computational Science Program; Extreme Computing Research Center; Computational Bioscience Research Center (CBRC); Numerical Mathematics Group; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division
Except where otherwise noted, this item's license is described as Archived with thanks to Scientific reports under a Creative Commons license, details at: https://creativecommons.org/licenses/by/4.0
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