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Systematic genomic analysis of SARS-CoV-2 co-infections throughout the pandemic and segregation of the strains involved

BACKGROUND: SARS-CoV-2 recombinants involving the divergent Delta and Omicron lineages have been described, and one of them, “Kraken” (XBB.1.5), has recently been a matter of concern. Recombination requires the coexistence of two SARS-CoV-2 strains in the same individual. Only a limited number of st...

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Autores principales: Peñas-Utrilla, Daniel, Pérez-Lago, Laura, Molero-Salinas, Andrea, Estévez, Agustín, Sanz, Amadeo, Herranz, Marta, Martínez-Laperche, Carolina, Andrés-Zayas, Cristina, Veintimilla, Cristina, Catalán, Pilar, Alonso, Roberto, Muñoz, Patricia, García de Viedma, Darío
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10367318/
https://www.ncbi.nlm.nih.gov/pubmed/37488638
http://dx.doi.org/10.1186/s13073-023-01198-z
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author Peñas-Utrilla, Daniel
Pérez-Lago, Laura
Molero-Salinas, Andrea
Estévez, Agustín
Sanz, Amadeo
Herranz, Marta
Martínez-Laperche, Carolina
Andrés-Zayas, Cristina
Veintimilla, Cristina
Catalán, Pilar
Alonso, Roberto
Muñoz, Patricia
García de Viedma, Darío
author_facet Peñas-Utrilla, Daniel
Pérez-Lago, Laura
Molero-Salinas, Andrea
Estévez, Agustín
Sanz, Amadeo
Herranz, Marta
Martínez-Laperche, Carolina
Andrés-Zayas, Cristina
Veintimilla, Cristina
Catalán, Pilar
Alonso, Roberto
Muñoz, Patricia
García de Viedma, Darío
author_sort Peñas-Utrilla, Daniel
collection PubMed
description BACKGROUND: SARS-CoV-2 recombinants involving the divergent Delta and Omicron lineages have been described, and one of them, “Kraken” (XBB.1.5), has recently been a matter of concern. Recombination requires the coexistence of two SARS-CoV-2 strains in the same individual. Only a limited number of studies have focused on the identification of co-infections and are restricted to co-infections involving the Delta/Omicron lineages. METHODS: We performed a systematic identification of SARS-CoV-2 co-infections throughout the pandemic (7609 different patients sequenced), not biassed towards the involvement of highly divergent lineages. Through a comprehensive set of validations based on the distribution of allelic frequencies, phylogenetic consistency, re-sequencing, host genetic analysis and contextual epidemiological analysis, these co-infections were robustly assigned. RESULTS: Fourteen (0.18%) co-infections with ≥ 8 heterozygous calls (8–85 HZs) were identified. Co-infections were identified throughout the pandemic and involved an equal proportion of strains from different lineages/sublineages (including pre-Alpha variants, Delta and Omicron) or strains from the same lineage. Co-infected cases were mainly unvaccinated, with mild or asymptomatic clinical presentation, and most were at risk of overexposure associated with the healthcare environment. Strain segregation enabled integration of sequences to clarify nosocomial outbreaks where analysis had been impaired due to co-infection. CONCLUSIONS: Co-infection cases were identified throughout the pandemic, not just in the time periods when highly divergent lineages were co-circulating. Co-infections involving different lineages or strains from the same lineage were occurring in the same proportion. Most cases were mild, did not require medical assistance and were not vaccinated, and a large proportion were associated with the hospital environment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-023-01198-z.
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spelling pubmed-103673182023-07-26 Systematic genomic analysis of SARS-CoV-2 co-infections throughout the pandemic and segregation of the strains involved Peñas-Utrilla, Daniel Pérez-Lago, Laura Molero-Salinas, Andrea Estévez, Agustín Sanz, Amadeo Herranz, Marta Martínez-Laperche, Carolina Andrés-Zayas, Cristina Veintimilla, Cristina Catalán, Pilar Alonso, Roberto Muñoz, Patricia García de Viedma, Darío Genome Med Research BACKGROUND: SARS-CoV-2 recombinants involving the divergent Delta and Omicron lineages have been described, and one of them, “Kraken” (XBB.1.5), has recently been a matter of concern. Recombination requires the coexistence of two SARS-CoV-2 strains in the same individual. Only a limited number of studies have focused on the identification of co-infections and are restricted to co-infections involving the Delta/Omicron lineages. METHODS: We performed a systematic identification of SARS-CoV-2 co-infections throughout the pandemic (7609 different patients sequenced), not biassed towards the involvement of highly divergent lineages. Through a comprehensive set of validations based on the distribution of allelic frequencies, phylogenetic consistency, re-sequencing, host genetic analysis and contextual epidemiological analysis, these co-infections were robustly assigned. RESULTS: Fourteen (0.18%) co-infections with ≥ 8 heterozygous calls (8–85 HZs) were identified. Co-infections were identified throughout the pandemic and involved an equal proportion of strains from different lineages/sublineages (including pre-Alpha variants, Delta and Omicron) or strains from the same lineage. Co-infected cases were mainly unvaccinated, with mild or asymptomatic clinical presentation, and most were at risk of overexposure associated with the healthcare environment. Strain segregation enabled integration of sequences to clarify nosocomial outbreaks where analysis had been impaired due to co-infection. CONCLUSIONS: Co-infection cases were identified throughout the pandemic, not just in the time periods when highly divergent lineages were co-circulating. Co-infections involving different lineages or strains from the same lineage were occurring in the same proportion. Most cases were mild, did not require medical assistance and were not vaccinated, and a large proportion were associated with the hospital environment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-023-01198-z. BioMed Central 2023-07-24 /pmc/articles/PMC10367318/ /pubmed/37488638 http://dx.doi.org/10.1186/s13073-023-01198-z Text en © The Author(s) 2023 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Peñas-Utrilla, Daniel
Pérez-Lago, Laura
Molero-Salinas, Andrea
Estévez, Agustín
Sanz, Amadeo
Herranz, Marta
Martínez-Laperche, Carolina
Andrés-Zayas, Cristina
Veintimilla, Cristina
Catalán, Pilar
Alonso, Roberto
Muñoz, Patricia
García de Viedma, Darío
Systematic genomic analysis of SARS-CoV-2 co-infections throughout the pandemic and segregation of the strains involved
title Systematic genomic analysis of SARS-CoV-2 co-infections throughout the pandemic and segregation of the strains involved
title_full Systematic genomic analysis of SARS-CoV-2 co-infections throughout the pandemic and segregation of the strains involved
title_fullStr Systematic genomic analysis of SARS-CoV-2 co-infections throughout the pandemic and segregation of the strains involved
title_full_unstemmed Systematic genomic analysis of SARS-CoV-2 co-infections throughout the pandemic and segregation of the strains involved
title_short Systematic genomic analysis of SARS-CoV-2 co-infections throughout the pandemic and segregation of the strains involved
title_sort systematic genomic analysis of sars-cov-2 co-infections throughout the pandemic and segregation of the strains involved
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10367318/
https://www.ncbi.nlm.nih.gov/pubmed/37488638
http://dx.doi.org/10.1186/s13073-023-01198-z
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