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Mutation rate of SARS-CoV-2 and emergence of mutators during experimental evolution

BACKGROUND AND OBJECTIVES: To understand how organisms evolve, it is fundamental to study how mutations emerge and establish. Here, we estimated the rate of mutation accumulation of SARS-CoV-2 in vitro and investigated the repeatability of its evolution when facing a new cell type but no immune or d...

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Autores principales: Amicone, Massimo, Borges, Vítor, Alves, Maria João, Isidro, Joana, Zé-Zé, Líbia, Duarte, Sílvia, Vieira, Luís, Guiomar, Raquel, Gomes, João Paulo, Gordo, Isabel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8996265/
https://www.ncbi.nlm.nih.gov/pubmed/35419205
http://dx.doi.org/10.1093/emph/eoac010
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author Amicone, Massimo
Borges, Vítor
Alves, Maria João
Isidro, Joana
Zé-Zé, Líbia
Duarte, Sílvia
Vieira, Luís
Guiomar, Raquel
Gomes, João Paulo
Gordo, Isabel
author_facet Amicone, Massimo
Borges, Vítor
Alves, Maria João
Isidro, Joana
Zé-Zé, Líbia
Duarte, Sílvia
Vieira, Luís
Guiomar, Raquel
Gomes, João Paulo
Gordo, Isabel
author_sort Amicone, Massimo
collection PubMed
description BACKGROUND AND OBJECTIVES: To understand how organisms evolve, it is fundamental to study how mutations emerge and establish. Here, we estimated the rate of mutation accumulation of SARS-CoV-2 in vitro and investigated the repeatability of its evolution when facing a new cell type but no immune or drug pressures. METHODOLOGY: We performed experimental evolution with two strains of SARS-CoV-2, one carrying the originally described spike protein (CoV-2-D) and another carrying the D614G mutation that has spread worldwide (CoV-2-G). After 15 passages in Vero cells and whole genome sequencing, we characterized the spectrum and rate of the emerging mutations and looked for evidences of selection across the genomes of both strains. RESULTS: From the frequencies of the mutations accumulated, and excluding the genes with signals of selection, we estimate a spontaneous mutation rate of 1.3 × 10(−6) ± 0.2 × 10(−6) per-base per-infection cycle (mean across both lineages of SARS-CoV-2 ± 2SEM). We further show that mutation accumulation is larger in the CoV-2-D lineage and heterogeneous along the genome, consistent with the action of positive selection on the spike protein, which accumulated five times more mutations than the corresponding genomic average. We also observe the emergence of mutators in the CoV-2-G background, likely linked to mutations in the RNA-dependent RNA polymerase and/or in the error-correcting exonuclease protein. CONCLUSIONS AND IMPLICATIONS: These results provide valuable information on how spontaneous mutations emerge in SARS-CoV-2 and on how selection can shape its genome toward adaptation to new environments. Lay Summary: Each time a virus replicates inside a cell, errors (mutations) occur. Here, via laboratory propagation in cells originally isolated from the kidney epithelium of African green monkeys, we estimated the rate at which the SARS-CoV-2 virus mutates—an important parameter for understanding how it can evolve within and across humans. We also confirm the potential of its Spike protein to adapt to a new environment and report the emergence of mutators—viral populations where mutations occur at a significantly faster rate.
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spelling pubmed-89962652022-04-12 Mutation rate of SARS-CoV-2 and emergence of mutators during experimental evolution Amicone, Massimo Borges, Vítor Alves, Maria João Isidro, Joana Zé-Zé, Líbia Duarte, Sílvia Vieira, Luís Guiomar, Raquel Gomes, João Paulo Gordo, Isabel Evol Med Public Health Original Research Article BACKGROUND AND OBJECTIVES: To understand how organisms evolve, it is fundamental to study how mutations emerge and establish. Here, we estimated the rate of mutation accumulation of SARS-CoV-2 in vitro and investigated the repeatability of its evolution when facing a new cell type but no immune or drug pressures. METHODOLOGY: We performed experimental evolution with two strains of SARS-CoV-2, one carrying the originally described spike protein (CoV-2-D) and another carrying the D614G mutation that has spread worldwide (CoV-2-G). After 15 passages in Vero cells and whole genome sequencing, we characterized the spectrum and rate of the emerging mutations and looked for evidences of selection across the genomes of both strains. RESULTS: From the frequencies of the mutations accumulated, and excluding the genes with signals of selection, we estimate a spontaneous mutation rate of 1.3 × 10(−6) ± 0.2 × 10(−6) per-base per-infection cycle (mean across both lineages of SARS-CoV-2 ± 2SEM). We further show that mutation accumulation is larger in the CoV-2-D lineage and heterogeneous along the genome, consistent with the action of positive selection on the spike protein, which accumulated five times more mutations than the corresponding genomic average. We also observe the emergence of mutators in the CoV-2-G background, likely linked to mutations in the RNA-dependent RNA polymerase and/or in the error-correcting exonuclease protein. CONCLUSIONS AND IMPLICATIONS: These results provide valuable information on how spontaneous mutations emerge in SARS-CoV-2 and on how selection can shape its genome toward adaptation to new environments. Lay Summary: Each time a virus replicates inside a cell, errors (mutations) occur. Here, via laboratory propagation in cells originally isolated from the kidney epithelium of African green monkeys, we estimated the rate at which the SARS-CoV-2 virus mutates—an important parameter for understanding how it can evolve within and across humans. We also confirm the potential of its Spike protein to adapt to a new environment and report the emergence of mutators—viral populations where mutations occur at a significantly faster rate. Oxford University Press 2022-03-29 /pmc/articles/PMC8996265/ /pubmed/35419205 http://dx.doi.org/10.1093/emph/eoac010 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the Foundation for Evolution, Medicine, and Public Health. 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 Original Research Article
Amicone, Massimo
Borges, Vítor
Alves, Maria João
Isidro, Joana
Zé-Zé, Líbia
Duarte, Sílvia
Vieira, Luís
Guiomar, Raquel
Gomes, João Paulo
Gordo, Isabel
Mutation rate of SARS-CoV-2 and emergence of mutators during experimental evolution
title Mutation rate of SARS-CoV-2 and emergence of mutators during experimental evolution
title_full Mutation rate of SARS-CoV-2 and emergence of mutators during experimental evolution
title_fullStr Mutation rate of SARS-CoV-2 and emergence of mutators during experimental evolution
title_full_unstemmed Mutation rate of SARS-CoV-2 and emergence of mutators during experimental evolution
title_short Mutation rate of SARS-CoV-2 and emergence of mutators during experimental evolution
title_sort mutation rate of sars-cov-2 and emergence of mutators during experimental evolution
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8996265/
https://www.ncbi.nlm.nih.gov/pubmed/35419205
http://dx.doi.org/10.1093/emph/eoac010
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