Cargando…
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...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1783674664685404160 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8020992 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT vandorpchristiaanh estimatingthestrengthofselectionfornewsarscov2variants AT goldbergemmae estimatingthestrengthofselectionfornewsarscov2variants AT hengartnernick estimatingthestrengthofselectionfornewsarscov2variants AT keruian estimatingthestrengthofselectionfornewsarscov2variants AT romeroseversonethano estimatingthestrengthofselectionfornewsarscov2variants |