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bioRxiv · 10.1101/2022.02.01.478697

Patterns of Volatility Across the Spike Protein Accurately Predict the Emergence of Mutations within SARS-CoV-2 Lineages

Rojas Chavez, R. A.·Fili, M.·Han, C.·Rahman, S. A.·Bicar, I. G. L.·Hu, G.·Das, J.·Brown, G. D.·Haim, H.
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Abstract

Mutations in the spike glycoprotein of SARS-CoV-2 allow the virus to probe the sequence space in search of higher-fitness states. New sublineages of SARS-CoV-2 variants-of-concern (VOCs) continuously emerge with such mutations. Interestingly, the sites of mutation in these sublineages vary between the VOCs. Whether such differences reflect the random nature of mutation appearance or distinct evolutionary spaces of spike in the VOCs is unclear. Here we show that each position of spike has a lineage-specific likelihood for mutations to appear and dominate descendent sublineages. This likelihood can be accurately estimated from the lineage-specific mutational profile of spike at a protein-wide level. The mutability environment of each position, including adjacent sites on the protein structure and neighboring sites on the network of comutability, accurately forecast changes in descendent sublineages. Mapping of imminent changes within the VOCs can contribute to the design of immunogens and therapeutics that address future forms of SARS-CoV-2.

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Rojas Chavez, R. A., Fili, M., Han, C., Rahman, S. A., Bicar, I. G. L., Hu, G., Das, J., Brown, G. D., Haim, H.. 2022-02-02. Patterns of Volatility Across the Spike Protein Accurately Predict the Emergence of Mutations within SARS-CoV-2 Lineages. https://doi.org/10.1101/2022.02.01.478697

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