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Co-infection with SARS-CoV-2 Omicron and Delta variants revealed by genomic surveillance
Co-infections with different variants of SARS-CoV-2 are a key precursor to recombination events that are likely to drive SARS-CoV-2 evolution. Rapid identification of such co-infections is required to determine their frequency in the community, particularly in populations at-risk of severe COVID-19,...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9117272/ https://www.ncbi.nlm.nih.gov/pubmed/35585202 http://dx.doi.org/10.1038/s41467-022-30518-x |
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author | Rockett, Rebecca J. Draper, Jenny Gall, Mailie Sim, Eby M. Arnott, Alicia Agius, Jessica E. Johnson-Mackinnon, Jessica Fong, Winkie Martinez, Elena Drew, Alexander P. Lee, Clement Ngo, Christine Ramsperger, Marc Ginn, Andrew N. Wang, Qinning Fennell, Michael Ko, Danny Hueston, Linda Kairaitis, Lukas Holmes, Edward C. O’Sullivan, Matthew N. Chen, Sharon C.-A. Kok, Jen Dwyer, Dominic E. Sintchenko, Vitali |
author_facet | Rockett, Rebecca J. Draper, Jenny Gall, Mailie Sim, Eby M. Arnott, Alicia Agius, Jessica E. Johnson-Mackinnon, Jessica Fong, Winkie Martinez, Elena Drew, Alexander P. Lee, Clement Ngo, Christine Ramsperger, Marc Ginn, Andrew N. Wang, Qinning Fennell, Michael Ko, Danny Hueston, Linda Kairaitis, Lukas Holmes, Edward C. O’Sullivan, Matthew N. Chen, Sharon C.-A. Kok, Jen Dwyer, Dominic E. Sintchenko, Vitali |
author_sort | Rockett, Rebecca J. |
collection | PubMed |
description | Co-infections with different variants of SARS-CoV-2 are a key precursor to recombination events that are likely to drive SARS-CoV-2 evolution. Rapid identification of such co-infections is required to determine their frequency in the community, particularly in populations at-risk of severe COVID-19, which have already been identified as incubators for punctuated evolutionary events. However, limited data and tools are currently available to detect and characterise the SARS-CoV-2 co-infections associated with recognised variants of concern. Here we describe co-infection with the SARS-CoV-2 variants of concern Omicron and Delta in two epidemiologically unrelated adult patients with chronic kidney disease requiring maintenance haemodialysis. Both variants were co-circulating in the community at the time of detection. Genomic surveillance based on amplicon- and probe-based sequencing using short- and long-read technologies identified and quantified subpopulations of Delta and Omicron viruses in respiratory samples. These findings highlight the importance of integrated genomic surveillance in vulnerable populations and provide diagnostic pathways to recognise SARS-CoV-2 co-infection using genomic data. |
format | Online Article Text |
id | pubmed-9117272 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91172722022-05-20 Co-infection with SARS-CoV-2 Omicron and Delta variants revealed by genomic surveillance Rockett, Rebecca J. Draper, Jenny Gall, Mailie Sim, Eby M. Arnott, Alicia Agius, Jessica E. Johnson-Mackinnon, Jessica Fong, Winkie Martinez, Elena Drew, Alexander P. Lee, Clement Ngo, Christine Ramsperger, Marc Ginn, Andrew N. Wang, Qinning Fennell, Michael Ko, Danny Hueston, Linda Kairaitis, Lukas Holmes, Edward C. O’Sullivan, Matthew N. Chen, Sharon C.-A. Kok, Jen Dwyer, Dominic E. Sintchenko, Vitali Nat Commun Article Co-infections with different variants of SARS-CoV-2 are a key precursor to recombination events that are likely to drive SARS-CoV-2 evolution. Rapid identification of such co-infections is required to determine their frequency in the community, particularly in populations at-risk of severe COVID-19, which have already been identified as incubators for punctuated evolutionary events. However, limited data and tools are currently available to detect and characterise the SARS-CoV-2 co-infections associated with recognised variants of concern. Here we describe co-infection with the SARS-CoV-2 variants of concern Omicron and Delta in two epidemiologically unrelated adult patients with chronic kidney disease requiring maintenance haemodialysis. Both variants were co-circulating in the community at the time of detection. Genomic surveillance based on amplicon- and probe-based sequencing using short- and long-read technologies identified and quantified subpopulations of Delta and Omicron viruses in respiratory samples. These findings highlight the importance of integrated genomic surveillance in vulnerable populations and provide diagnostic pathways to recognise SARS-CoV-2 co-infection using genomic data. Nature Publishing Group UK 2022-05-18 /pmc/articles/PMC9117272/ /pubmed/35585202 http://dx.doi.org/10.1038/s41467-022-30518-x 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 Rockett, Rebecca J. Draper, Jenny Gall, Mailie Sim, Eby M. Arnott, Alicia Agius, Jessica E. Johnson-Mackinnon, Jessica Fong, Winkie Martinez, Elena Drew, Alexander P. Lee, Clement Ngo, Christine Ramsperger, Marc Ginn, Andrew N. Wang, Qinning Fennell, Michael Ko, Danny Hueston, Linda Kairaitis, Lukas Holmes, Edward C. O’Sullivan, Matthew N. Chen, Sharon C.-A. Kok, Jen Dwyer, Dominic E. Sintchenko, Vitali Co-infection with SARS-CoV-2 Omicron and Delta variants revealed by genomic surveillance |
title | Co-infection with SARS-CoV-2 Omicron and Delta variants revealed by genomic surveillance |
title_full | Co-infection with SARS-CoV-2 Omicron and Delta variants revealed by genomic surveillance |
title_fullStr | Co-infection with SARS-CoV-2 Omicron and Delta variants revealed by genomic surveillance |
title_full_unstemmed | Co-infection with SARS-CoV-2 Omicron and Delta variants revealed by genomic surveillance |
title_short | Co-infection with SARS-CoV-2 Omicron and Delta variants revealed by genomic surveillance |
title_sort | co-infection with sars-cov-2 omicron and delta variants revealed by genomic surveillance |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9117272/ https://www.ncbi.nlm.nih.gov/pubmed/35585202 http://dx.doi.org/10.1038/s41467-022-30518-x |
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