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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,...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
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.
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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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