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Population Genomics Insights into the First Wave of COVID-19

Full-genome-sequence computational analyses of the SARS-coronavirus (CoV)-2 genomes allow us to understand the evolutionary events and adaptability mechanisms. We used population genetics analyses on human SARS-CoV-2 genomes available on 2 April 2020 to infer the mutation rate and plausible recombin...

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Autores principales: Vasilarou, Maria, Alachiotis, Nikolaos, Garefalaki, Joanna, Beloukas, Apostolos, Pavlidis, Pavlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7914631/
https://www.ncbi.nlm.nih.gov/pubmed/33562321
http://dx.doi.org/10.3390/life11020129
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author Vasilarou, Maria
Alachiotis, Nikolaos
Garefalaki, Joanna
Beloukas, Apostolos
Pavlidis, Pavlos
author_facet Vasilarou, Maria
Alachiotis, Nikolaos
Garefalaki, Joanna
Beloukas, Apostolos
Pavlidis, Pavlos
author_sort Vasilarou, Maria
collection PubMed
description Full-genome-sequence computational analyses of the SARS-coronavirus (CoV)-2 genomes allow us to understand the evolutionary events and adaptability mechanisms. We used population genetics analyses on human SARS-CoV-2 genomes available on 2 April 2020 to infer the mutation rate and plausible recombination events between the Betacoronavirus genomes in nonhuman hosts that may have contributed to the evolution of SARS-CoV-2. Furthermore, we localized the targets of recent and strong, positive selection during the first pandemic wave. The genomic regions that appear to be under positive selection are largely co-localized with regions in which recombination from nonhuman hosts took place. Our results suggest that the pangolin coronavirus genome may have contributed to the SARS-CoV-2 genome by recombination with the bat coronavirus genome. However, we find evidence for additional recombination events that involve coronavirus genomes from other hosts, i.e., hedgehogs and sparrows. We further infer that recombination may have recently occurred within human hosts. Finally, we estimate the parameters of a demographic scenario involving an exponential growth of the size of the SARS-CoV-2 populations that have infected European, Asian, and Northern American cohorts, and we demonstrate that a rapid exponential growth in population size from the first wave can support the observed polymorphism patterns in SARS-CoV-2 genomes.
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spelling pubmed-79146312021-03-01 Population Genomics Insights into the First Wave of COVID-19 Vasilarou, Maria Alachiotis, Nikolaos Garefalaki, Joanna Beloukas, Apostolos Pavlidis, Pavlos Life (Basel) Article Full-genome-sequence computational analyses of the SARS-coronavirus (CoV)-2 genomes allow us to understand the evolutionary events and adaptability mechanisms. We used population genetics analyses on human SARS-CoV-2 genomes available on 2 April 2020 to infer the mutation rate and plausible recombination events between the Betacoronavirus genomes in nonhuman hosts that may have contributed to the evolution of SARS-CoV-2. Furthermore, we localized the targets of recent and strong, positive selection during the first pandemic wave. The genomic regions that appear to be under positive selection are largely co-localized with regions in which recombination from nonhuman hosts took place. Our results suggest that the pangolin coronavirus genome may have contributed to the SARS-CoV-2 genome by recombination with the bat coronavirus genome. However, we find evidence for additional recombination events that involve coronavirus genomes from other hosts, i.e., hedgehogs and sparrows. We further infer that recombination may have recently occurred within human hosts. Finally, we estimate the parameters of a demographic scenario involving an exponential growth of the size of the SARS-CoV-2 populations that have infected European, Asian, and Northern American cohorts, and we demonstrate that a rapid exponential growth in population size from the first wave can support the observed polymorphism patterns in SARS-CoV-2 genomes. MDPI 2021-02-07 /pmc/articles/PMC7914631/ /pubmed/33562321 http://dx.doi.org/10.3390/life11020129 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Vasilarou, Maria
Alachiotis, Nikolaos
Garefalaki, Joanna
Beloukas, Apostolos
Pavlidis, Pavlos
Population Genomics Insights into the First Wave of COVID-19
title Population Genomics Insights into the First Wave of COVID-19
title_full Population Genomics Insights into the First Wave of COVID-19
title_fullStr Population Genomics Insights into the First Wave of COVID-19
title_full_unstemmed Population Genomics Insights into the First Wave of COVID-19
title_short Population Genomics Insights into the First Wave of COVID-19
title_sort population genomics insights into the first wave of covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7914631/
https://www.ncbi.nlm.nih.gov/pubmed/33562321
http://dx.doi.org/10.3390/life11020129
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