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Decomposing the sources of SARS-CoV-2 fitness variation in the United States
The fitness of a pathogen is a composite phenotype determined by many different factors influencing growth rates both within and between hosts. Determining what factors shape fitness at the host population-level is especially challenging because both intrinsic factors like pathogen genetics and extr...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8499931/ https://www.ncbi.nlm.nih.gov/pubmed/34642604 http://dx.doi.org/10.1093/ve/veab073 |
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author | Kepler, Lenora Hamins-Puertolas, Marco Rasmussen, David A |
author_facet | Kepler, Lenora Hamins-Puertolas, Marco Rasmussen, David A |
author_sort | Kepler, Lenora |
collection | PubMed |
description | The fitness of a pathogen is a composite phenotype determined by many different factors influencing growth rates both within and between hosts. Determining what factors shape fitness at the host population-level is especially challenging because both intrinsic factors like pathogen genetics and extrinsic factors such as host behavior influence between-host transmission potential. This challenge has been highlighted by controversy surrounding the population-level fitness effects of mutations in the SARS-CoV-2 genome and their relative importance when compared against non-genetic factors shaping transmission dynamics. Building upon phylodynamic birth–death models, we develop a new framework to learn how hundreds of genetic and non-genetic factors have shaped the fitness of SARS-CoV-2. We estimate the fitness effects of all amino acid variants and several structural variants that have circulated in the United States between February 2020 and March 2021 from viral phylogenies. We also estimate how much fitness variation among pathogen lineages is attributable to genetic versus non-genetic factors such as spatial heterogeneity in transmission rates. Before September 2020, most fitness variation between lineages can be explained by background spatial heterogeneity in transmission rates across geographic regions. Starting in late 2020, genetic variation in fitness increased dramatically with the emergence of several new lineages including B.1.1.7, B.1.427, B.1.429 and B.1.526. Our analysis also indicates that genetic variants in less well-explored genomic regions outside of Spike may be contributing significantly to overall fitness variation in the viral population. |
format | Online Article Text |
id | pubmed-8499931 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-84999312021-10-08 Decomposing the sources of SARS-CoV-2 fitness variation in the United States Kepler, Lenora Hamins-Puertolas, Marco Rasmussen, David A Virus Evol Research Article The fitness of a pathogen is a composite phenotype determined by many different factors influencing growth rates both within and between hosts. Determining what factors shape fitness at the host population-level is especially challenging because both intrinsic factors like pathogen genetics and extrinsic factors such as host behavior influence between-host transmission potential. This challenge has been highlighted by controversy surrounding the population-level fitness effects of mutations in the SARS-CoV-2 genome and their relative importance when compared against non-genetic factors shaping transmission dynamics. Building upon phylodynamic birth–death models, we develop a new framework to learn how hundreds of genetic and non-genetic factors have shaped the fitness of SARS-CoV-2. We estimate the fitness effects of all amino acid variants and several structural variants that have circulated in the United States between February 2020 and March 2021 from viral phylogenies. We also estimate how much fitness variation among pathogen lineages is attributable to genetic versus non-genetic factors such as spatial heterogeneity in transmission rates. Before September 2020, most fitness variation between lineages can be explained by background spatial heterogeneity in transmission rates across geographic regions. Starting in late 2020, genetic variation in fitness increased dramatically with the emergence of several new lineages including B.1.1.7, B.1.427, B.1.429 and B.1.526. Our analysis also indicates that genetic variants in less well-explored genomic regions outside of Spike may be contributing significantly to overall fitness variation in the viral population. Oxford University Press 2021-09-02 /pmc/articles/PMC8499931/ /pubmed/34642604 http://dx.doi.org/10.1093/ve/veab073 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Kepler, Lenora Hamins-Puertolas, Marco Rasmussen, David A Decomposing the sources of SARS-CoV-2 fitness variation in the United States |
title | Decomposing the sources of SARS-CoV-2 fitness variation in the United States |
title_full | Decomposing the sources of SARS-CoV-2 fitness variation in the United States |
title_fullStr | Decomposing the sources of SARS-CoV-2 fitness variation in the United States |
title_full_unstemmed | Decomposing the sources of SARS-CoV-2 fitness variation in the United States |
title_short | Decomposing the sources of SARS-CoV-2 fitness variation in the United States |
title_sort | decomposing the sources of sars-cov-2 fitness variation in the united states |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8499931/ https://www.ncbi.nlm.nih.gov/pubmed/34642604 http://dx.doi.org/10.1093/ve/veab073 |
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