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Pandemic-scale phylogenomics reveals the SARS-CoV-2 recombination landscape

Accurate and timely detection of recombinant lineages is crucial for interpreting genetic variation, reconstructing epidemic spread, identifying selection and variants of interest, and accurately performing phylogenetic analyses(1–4). During the SARS-CoV-2 pandemic, genomic data generation has excee...

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Autores principales: Turakhia, Yatish, Thornlow, Bryan, Hinrichs, Angie, McBroome, Jakob, Ayala, Nicolas, Ye, Cheng, Smith, Kyle, De Maio, Nicola, Haussler, David, Lanfear, Robert, Corbett-Detig, Russell
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519458/
https://www.ncbi.nlm.nih.gov/pubmed/35952714
http://dx.doi.org/10.1038/s41586-022-05189-9
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author Turakhia, Yatish
Thornlow, Bryan
Hinrichs, Angie
McBroome, Jakob
Ayala, Nicolas
Ye, Cheng
Smith, Kyle
De Maio, Nicola
Haussler, David
Lanfear, Robert
Corbett-Detig, Russell
author_facet Turakhia, Yatish
Thornlow, Bryan
Hinrichs, Angie
McBroome, Jakob
Ayala, Nicolas
Ye, Cheng
Smith, Kyle
De Maio, Nicola
Haussler, David
Lanfear, Robert
Corbett-Detig, Russell
author_sort Turakhia, Yatish
collection PubMed
description Accurate and timely detection of recombinant lineages is crucial for interpreting genetic variation, reconstructing epidemic spread, identifying selection and variants of interest, and accurately performing phylogenetic analyses(1–4). During the SARS-CoV-2 pandemic, genomic data generation has exceeded the capacities of existing analysis platforms, thereby crippling real-time analysis of viral evolution(5). Here, we use a new phylogenomic method to search a nearly comprehensive SARS-CoV-2 phylogeny for recombinant lineages. In a 1.6 million sample tree from May 2021, we identify 589 recombination events, which indicate that around 2.7% of sequenced SARS-CoV-2 genomes have detectable recombinant ancestry. Recombination breakpoints are inferred to occur disproportionately in the 3' portion of the genome that contains the spike protein. Our results highlight the need for timely analyses of recombination for pinpointing the emergence of recombinant lineages with the potential to increase transmissibility or virulence of the virus. We anticipate that this approach will empower comprehensive real-time tracking of viral recombination during the SARS-CoV-2 pandemic and beyond.
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spelling pubmed-95194582022-09-30 Pandemic-scale phylogenomics reveals the SARS-CoV-2 recombination landscape Turakhia, Yatish Thornlow, Bryan Hinrichs, Angie McBroome, Jakob Ayala, Nicolas Ye, Cheng Smith, Kyle De Maio, Nicola Haussler, David Lanfear, Robert Corbett-Detig, Russell Nature Article Accurate and timely detection of recombinant lineages is crucial for interpreting genetic variation, reconstructing epidemic spread, identifying selection and variants of interest, and accurately performing phylogenetic analyses(1–4). During the SARS-CoV-2 pandemic, genomic data generation has exceeded the capacities of existing analysis platforms, thereby crippling real-time analysis of viral evolution(5). Here, we use a new phylogenomic method to search a nearly comprehensive SARS-CoV-2 phylogeny for recombinant lineages. In a 1.6 million sample tree from May 2021, we identify 589 recombination events, which indicate that around 2.7% of sequenced SARS-CoV-2 genomes have detectable recombinant ancestry. Recombination breakpoints are inferred to occur disproportionately in the 3' portion of the genome that contains the spike protein. Our results highlight the need for timely analyses of recombination for pinpointing the emergence of recombinant lineages with the potential to increase transmissibility or virulence of the virus. We anticipate that this approach will empower comprehensive real-time tracking of viral recombination during the SARS-CoV-2 pandemic and beyond. Nature Publishing Group UK 2022-08-11 2022 /pmc/articles/PMC9519458/ /pubmed/35952714 http://dx.doi.org/10.1038/s41586-022-05189-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Turakhia, Yatish
Thornlow, Bryan
Hinrichs, Angie
McBroome, Jakob
Ayala, Nicolas
Ye, Cheng
Smith, Kyle
De Maio, Nicola
Haussler, David
Lanfear, Robert
Corbett-Detig, Russell
Pandemic-scale phylogenomics reveals the SARS-CoV-2 recombination landscape
title Pandemic-scale phylogenomics reveals the SARS-CoV-2 recombination landscape
title_full Pandemic-scale phylogenomics reveals the SARS-CoV-2 recombination landscape
title_fullStr Pandemic-scale phylogenomics reveals the SARS-CoV-2 recombination landscape
title_full_unstemmed Pandemic-scale phylogenomics reveals the SARS-CoV-2 recombination landscape
title_short Pandemic-scale phylogenomics reveals the SARS-CoV-2 recombination landscape
title_sort pandemic-scale phylogenomics reveals the sars-cov-2 recombination landscape
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519458/
https://www.ncbi.nlm.nih.gov/pubmed/35952714
http://dx.doi.org/10.1038/s41586-022-05189-9
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