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Estimating the strength of selection for new SARS-CoV-2 variants

Author

Listed:
  • Christiaan H. van Dorp

    (Los Alamos National Laboratory)

  • Emma E. Goldberg

    (Los Alamos National Laboratory
    New Mexico Consortium)

  • Nick Hengartner

    (Los Alamos National Laboratory
    New Mexico Consortium)

  • Ruian Ke

    (Los Alamos National Laboratory
    New Mexico Consortium)

  • Ethan O. Romero-Severson

    (Los Alamos National Laboratory
    New Mexico Consortium)

Abstract

Controlling the SARS-CoV-2 pandemic becomes increasingly challenging as the virus adapts to human hosts through the continual emergence of more transmissible variants. Simply observing that a variant is increasing in frequency is relatively straightforward, but more sophisticated methodology is needed to determine whether a new variant is a global threat and the magnitude of its selective advantage. We present two models for quantifying the strength of selection for new and emerging variants of SARS-CoV-2 relative to the background of contemporaneous variants. These methods range from a detailed model of dynamics within one country to a broad analysis across all countries, and they include alternative explanations such as migration and drift. We find evidence for strong selection favoring the D614G spike mutation and B.1.1.7 (Alpha), weaker selection favoring B.1.351 (Beta), and no advantage of R.1 after it spreads beyond Japan. Cutting back data to earlier time horizons reveals that uncertainty is large very soon after emergence, but that estimates of selection stabilize after several weeks. Our results also show substantial heterogeneity among countries, demonstrating the need for a truly global perspective on the molecular epidemiology of SARS-CoV-2.

Suggested Citation

  • Christiaan H. van Dorp & Emma E. Goldberg & Nick Hengartner & Ruian Ke & Ethan O. Romero-Severson, 2021. "Estimating the strength of selection for new SARS-CoV-2 variants," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-27369-3
    DOI: 10.1038/s41467-021-27369-3
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    1. Carpenter, Bob & Gelman, Andrew & Hoffman, Matthew D. & Lee, Daniel & Goodrich, Ben & Betancourt, Michael & Brubaker, Marcus & Guo, Jiqiang & Li, Peter & Riddell, Allen, 2017. "Stan: A Probabilistic Programming Language," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 76(i01).
    2. Lucy Dorp & Damien Richard & Cedric C. S. Tan & Liam P. Shaw & Mislav Acman & François Balloux, 2020. "No evidence for increased transmissibility from recurrent mutations in SARS-CoV-2," Nature Communications, Nature, vol. 11(1), pages 1-8, December.
    3. Enrico Lavezzo & Elisa Franchin & Constanze Ciavarella & Gina Cuomo-Dannenburg & Luisa Barzon & Claudia Del Vecchio & Lucia Rossi & Riccardo Manganelli & Arianna Loregian & Nicolò Navarin & Davide Aba, 2020. "Suppression of a SARS-CoV-2 outbreak in the Italian municipality of Vo’," Nature, Nature, vol. 584(7821), pages 425-429, August.
    4. Petra Mlcochova & Steven A. Kemp & Mahesh Shanker Dhar & Guido Papa & Bo Meng & Isabella A. T. M. Ferreira & Rawlings Datir & Dami A. Collier & Anna Albecka & Sujeet Singh & Rajesh Pandey & Jonathan B, 2021. "SARS-CoV-2 B.1.617.2 Delta variant replication and immune evasion," Nature, Nature, vol. 599(7883), pages 114-119, November.
    5. Houriiyah Tegally & Eduan Wilkinson & Marta Giovanetti & Arash Iranzadeh & Vagner Fonseca & Jennifer Giandhari & Deelan Doolabh & Sureshnee Pillay & Emmanuel James San & Nokukhanya Msomi & Koleka Mlis, 2021. "Detection of a SARS-CoV-2 variant of concern in South Africa," Nature, Nature, vol. 592(7854), pages 438-443, April.
    6. Ganna Rozhnova & Christiaan H. Dorp & Patricia Bruijning-Verhagen & Martin C. J. Bootsma & Janneke H. H. M. Wijgert & Marc J. M. Bonten & Mirjam E. Kretzschmar, 2021. "Model-based evaluation of school- and non-school-related measures to control the COVID-19 pandemic," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
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    1. Qinghong Fan & Jingrong Shi & Yanhong Yang & Guofang Tang & Mengling Jiang & Jiaojiao Li & Jingyan Tang & Lu Li & Xueliang Wen & Lieguang Zhang & Xizi Deng & Yaping Wang & Yun Lan & Liya Li & Ping Pen, 2022. "Clinical characteristics and immune profile alterations in vaccinated individuals with breakthrough Delta SARS-CoV-2 infections," Nature Communications, Nature, vol. 13(1), pages 1-12, December.

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