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

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 need...

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Autores principales: van Dorp, Christiaan H., Goldberg, Emma E., Hengartner, Nick, Ke, Ruian, Romero-Severson, Ethan O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8020992/
https://www.ncbi.nlm.nih.gov/pubmed/33821289
http://dx.doi.org/10.1101/2021.03.29.21254233
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author van Dorp, Christiaan H.
Goldberg, Emma E.
Hengartner, Nick
Ke, Ruian
Romero-Severson, Ethan O.
author_facet van Dorp, Christiaan H.
Goldberg, Emma E.
Hengartner, Nick
Ke, Ruian
Romero-Severson, Ethan O.
author_sort van Dorp, Christiaan H.
collection PubMed
description 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 three methods 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 large uncertainty 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.
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spelling pubmed-80209922021-04-06 Estimating the strength of selection for new SARS-CoV-2 variants van Dorp, Christiaan H. Goldberg, Emma E. Hengartner, Nick Ke, Ruian Romero-Severson, Ethan O. medRxiv Article 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 three methods 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 large uncertainty 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. Cold Spring Harbor Laboratory 2021-09-24 /pmc/articles/PMC8020992/ /pubmed/33821289 http://dx.doi.org/10.1101/2021.03.29.21254233 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
van Dorp, Christiaan H.
Goldberg, Emma E.
Hengartner, Nick
Ke, Ruian
Romero-Severson, Ethan O.
Estimating the strength of selection for new SARS-CoV-2 variants
title Estimating the strength of selection for new SARS-CoV-2 variants
title_full Estimating the strength of selection for new SARS-CoV-2 variants
title_fullStr Estimating the strength of selection for new SARS-CoV-2 variants
title_full_unstemmed Estimating the strength of selection for new SARS-CoV-2 variants
title_short Estimating the strength of selection for new SARS-CoV-2 variants
title_sort estimating the strength of selection for new sars-cov-2 variants
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8020992/
https://www.ncbi.nlm.nih.gov/pubmed/33821289
http://dx.doi.org/10.1101/2021.03.29.21254233
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