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Genomic Epidemiology Unveil the Omicron Transmission Dynamics in Rome, Italy
Since 2020, the COVID-19 pandemic represented an important worldwide burden. Well-structured surveillance by reliable and timely genomic data collection is crucial. In this study, a genomic monitoring analysis of all SARS-CoV-2 positive samples retrieved at the Fondazione Policlinico Universitario C...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9505927/ https://www.ncbi.nlm.nih.gov/pubmed/36145443 http://dx.doi.org/10.3390/pathogens11091011 |
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author | Francesconi, Maria Giovanetti, Marta De Florio, Lucia Fogolari, Marta Veralli, Roberta De Flora, Cecilia Spoto, Silvia Maruotti, Antonello Riva, Elisabetta Angeletti, Silvia Ciccozzi, Massimo |
author_facet | Francesconi, Maria Giovanetti, Marta De Florio, Lucia Fogolari, Marta Veralli, Roberta De Flora, Cecilia Spoto, Silvia Maruotti, Antonello Riva, Elisabetta Angeletti, Silvia Ciccozzi, Massimo |
author_sort | Francesconi, Maria |
collection | PubMed |
description | Since 2020, the COVID-19 pandemic represented an important worldwide burden. Well-structured surveillance by reliable and timely genomic data collection is crucial. In this study, a genomic monitoring analysis of all SARS-CoV-2 positive samples retrieved at the Fondazione Policlinico Universitario Campus Bio-Medico, in Rome, Italy, between December 2021 and June 2022, was performed. Two hundred and seventy-four SARS-CoV-2-positive samples were submitted to viral genomic sequencing by Illumina MiSeqII. Consensus sequences were generated by de novo assembling using the iVar tool and deposited on the GISAID database. Lineage assignment was performed using the Pangolin lineage classification. Sequences were aligned using ViralMSA and maximum-likelihood phylogenetic analysis was performed by IQ-TREE2. TreeTime tool was used to obtain dated trees. Our genomic monitoring revealed that starting from December 2021, all Omicron sub-lineages (BA.1, BA.2, BA.3, BA.4, and BA.5) were circulating, although BA.1 was still the one with the highest prevalence thought time in this early period. Phylogeny revealed that Omicron isolates were scattered throughout the trees, suggesting multiple independent viral introductions following national and international human mobility. This data represents a sort of thermometer of what happened from July 2021 to June 2022 in Italy. Genomic monitoring of the circulating variants should be encouraged considering that SARS-CoV-2 variants or sub-variants emerged stochastically and unexpectedly. |
format | Online Article Text |
id | pubmed-9505927 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95059272022-09-24 Genomic Epidemiology Unveil the Omicron Transmission Dynamics in Rome, Italy Francesconi, Maria Giovanetti, Marta De Florio, Lucia Fogolari, Marta Veralli, Roberta De Flora, Cecilia Spoto, Silvia Maruotti, Antonello Riva, Elisabetta Angeletti, Silvia Ciccozzi, Massimo Pathogens Article Since 2020, the COVID-19 pandemic represented an important worldwide burden. Well-structured surveillance by reliable and timely genomic data collection is crucial. In this study, a genomic monitoring analysis of all SARS-CoV-2 positive samples retrieved at the Fondazione Policlinico Universitario Campus Bio-Medico, in Rome, Italy, between December 2021 and June 2022, was performed. Two hundred and seventy-four SARS-CoV-2-positive samples were submitted to viral genomic sequencing by Illumina MiSeqII. Consensus sequences were generated by de novo assembling using the iVar tool and deposited on the GISAID database. Lineage assignment was performed using the Pangolin lineage classification. Sequences were aligned using ViralMSA and maximum-likelihood phylogenetic analysis was performed by IQ-TREE2. TreeTime tool was used to obtain dated trees. Our genomic monitoring revealed that starting from December 2021, all Omicron sub-lineages (BA.1, BA.2, BA.3, BA.4, and BA.5) were circulating, although BA.1 was still the one with the highest prevalence thought time in this early period. Phylogeny revealed that Omicron isolates were scattered throughout the trees, suggesting multiple independent viral introductions following national and international human mobility. This data represents a sort of thermometer of what happened from July 2021 to June 2022 in Italy. Genomic monitoring of the circulating variants should be encouraged considering that SARS-CoV-2 variants or sub-variants emerged stochastically and unexpectedly. MDPI 2022-09-04 /pmc/articles/PMC9505927/ /pubmed/36145443 http://dx.doi.org/10.3390/pathogens11091011 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Francesconi, Maria Giovanetti, Marta De Florio, Lucia Fogolari, Marta Veralli, Roberta De Flora, Cecilia Spoto, Silvia Maruotti, Antonello Riva, Elisabetta Angeletti, Silvia Ciccozzi, Massimo Genomic Epidemiology Unveil the Omicron Transmission Dynamics in Rome, Italy |
title | Genomic Epidemiology Unveil the Omicron Transmission Dynamics in Rome, Italy |
title_full | Genomic Epidemiology Unveil the Omicron Transmission Dynamics in Rome, Italy |
title_fullStr | Genomic Epidemiology Unveil the Omicron Transmission Dynamics in Rome, Italy |
title_full_unstemmed | Genomic Epidemiology Unveil the Omicron Transmission Dynamics in Rome, Italy |
title_short | Genomic Epidemiology Unveil the Omicron Transmission Dynamics in Rome, Italy |
title_sort | genomic epidemiology unveil the omicron transmission dynamics in rome, italy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9505927/ https://www.ncbi.nlm.nih.gov/pubmed/36145443 http://dx.doi.org/10.3390/pathogens11091011 |
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