The evolution of SARS-CoV-2 and the COVID-19 pandemic
Published in PeerJ, 2023
We analyzed and predicted the mutation rates of the whole genome and main proteins of SARS-CoV-2 from different populations to understand the adaptive relationship between humans and COVID-19. Our study identified a correlation of the mutation rates from each protein of SARS-CoV-2 and various human populations. Overall, this analysis provides a scientific basis for developing data-driven strategies to confront human pathogens.
DATA:
This work therefore collected 13,396,972 whole genome sequences of SARS-CoV-2 from GISAID (https://gisaid.org/)
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Recommended citation:
Si Y, Wu W, Xue X, Sun X, Qin Y, Li Y, Qiu C, Li Y, Zhuo Z, Mi Y, Zheng P. 2023. The evolution of SARS-CoV-2 and the COVID-19 pandemic. PeerJ 11:e15990 https://doi.org/10.7717/peerj.15990