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Neighbourhood watch: genomic epidemiology of SARS-CoV-2 variants circulating in a German federal state, Mecklenburg-Western Pomerania, in 2020–2022
Global and even national genome surveillance approaches do not provide the resolution necessary for rapid and accurate direct response by local public health authorities. Hence, a regional network of microbiological laboratories in collaboration with the health departments of all districts of the Ge...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10446807/ https://www.ncbi.nlm.nih.gov/pubmed/37585712 http://dx.doi.org/10.1080/22221751.2023.2245916 |
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author | Kohler, Christian King, Jacqueline Stacker, Lina Goller, Katja V. Moritz, Juliane Pohlmann, Anne Nath, Neetika Tzvetkova, Ana Rieck, Maximilian Paraskevopoulou, Sofia Beslic, Denis Hölzer, Martin Fuchs, Stephan Ziemann, Janine Kaderali, Lars Beer, Martin Hübner, Nils-Olaf Becker, Karsten |
author_facet | Kohler, Christian King, Jacqueline Stacker, Lina Goller, Katja V. Moritz, Juliane Pohlmann, Anne Nath, Neetika Tzvetkova, Ana Rieck, Maximilian Paraskevopoulou, Sofia Beslic, Denis Hölzer, Martin Fuchs, Stephan Ziemann, Janine Kaderali, Lars Beer, Martin Hübner, Nils-Olaf Becker, Karsten |
author_sort | Kohler, Christian |
collection | PubMed |
description | Global and even national genome surveillance approaches do not provide the resolution necessary for rapid and accurate direct response by local public health authorities. Hence, a regional network of microbiological laboratories in collaboration with the health departments of all districts of the German federal state of Mecklenburg-Western Pomerania (M-V) was formed to investigate the regional molecular epidemiology of circulating SARS-CoV-2 lineages between 11/2020 and 03/2022. More than 4750 samples from all M-V counties were sequenced using Illumina and Nanopore technologies. Overall, 3493 (73.5%) sequences fulfilled quality criteria for time-resolved and/or spatially-resolved maximum likelihood phylogenic analyses and k-mean/ median clustering (KMC). We identified 116 different Pangolin virus lineages that can be assigned to 16 Nextstrain clades. The ten most frequently detected virus lineages belonged to B.1.1.7, AY.122, AY.43, BA.1, B.1.617.2, BA.1.1, AY.9.2, AY.4, P.1 and AY.126. Time-resolved phylogenetic analyses showed the occurrence of virus clades as determined worldwide, but with a substantial delay of one to two months. Further spatio-temporal phylogenetic analyses revealed a regional outbreak of a Gamma variant limited to western M-V counties. Finally, KMC elucidated a successive introduction of the various virus lineages into M-V, possibly triggered by vacation periods with increased (inter-) national travel activities. The COVID-19 pandemic in M-V was shaped by a combination of several SARS-CoV-2 introductions, lockdown measures, restrictive quarantine of patients and the lineage specific replication rate. Complementing global and national surveillance, regional surveillance adds value by providing a higher level of surveillance resolution tailored to local health authorities. |
format | Online Article Text |
id | pubmed-10446807 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-104468072023-08-24 Neighbourhood watch: genomic epidemiology of SARS-CoV-2 variants circulating in a German federal state, Mecklenburg-Western Pomerania, in 2020–2022 Kohler, Christian King, Jacqueline Stacker, Lina Goller, Katja V. Moritz, Juliane Pohlmann, Anne Nath, Neetika Tzvetkova, Ana Rieck, Maximilian Paraskevopoulou, Sofia Beslic, Denis Hölzer, Martin Fuchs, Stephan Ziemann, Janine Kaderali, Lars Beer, Martin Hübner, Nils-Olaf Becker, Karsten Emerg Microbes Infect Research Article Global and even national genome surveillance approaches do not provide the resolution necessary for rapid and accurate direct response by local public health authorities. Hence, a regional network of microbiological laboratories in collaboration with the health departments of all districts of the German federal state of Mecklenburg-Western Pomerania (M-V) was formed to investigate the regional molecular epidemiology of circulating SARS-CoV-2 lineages between 11/2020 and 03/2022. More than 4750 samples from all M-V counties were sequenced using Illumina and Nanopore technologies. Overall, 3493 (73.5%) sequences fulfilled quality criteria for time-resolved and/or spatially-resolved maximum likelihood phylogenic analyses and k-mean/ median clustering (KMC). We identified 116 different Pangolin virus lineages that can be assigned to 16 Nextstrain clades. The ten most frequently detected virus lineages belonged to B.1.1.7, AY.122, AY.43, BA.1, B.1.617.2, BA.1.1, AY.9.2, AY.4, P.1 and AY.126. Time-resolved phylogenetic analyses showed the occurrence of virus clades as determined worldwide, but with a substantial delay of one to two months. Further spatio-temporal phylogenetic analyses revealed a regional outbreak of a Gamma variant limited to western M-V counties. Finally, KMC elucidated a successive introduction of the various virus lineages into M-V, possibly triggered by vacation periods with increased (inter-) national travel activities. The COVID-19 pandemic in M-V was shaped by a combination of several SARS-CoV-2 introductions, lockdown measures, restrictive quarantine of patients and the lineage specific replication rate. Complementing global and national surveillance, regional surveillance adds value by providing a higher level of surveillance resolution tailored to local health authorities. Taylor & Francis 2023-08-22 /pmc/articles/PMC10446807/ /pubmed/37585712 http://dx.doi.org/10.1080/22221751.2023.2245916 Text en © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group, on behalf of Shanghai Shangyixun Cultural Communication Co., Ltd https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. |
spellingShingle | Research Article Kohler, Christian King, Jacqueline Stacker, Lina Goller, Katja V. Moritz, Juliane Pohlmann, Anne Nath, Neetika Tzvetkova, Ana Rieck, Maximilian Paraskevopoulou, Sofia Beslic, Denis Hölzer, Martin Fuchs, Stephan Ziemann, Janine Kaderali, Lars Beer, Martin Hübner, Nils-Olaf Becker, Karsten Neighbourhood watch: genomic epidemiology of SARS-CoV-2 variants circulating in a German federal state, Mecklenburg-Western Pomerania, in 2020–2022 |
title | Neighbourhood watch: genomic epidemiology of SARS-CoV-2 variants circulating in a German federal state, Mecklenburg-Western Pomerania, in 2020–2022 |
title_full | Neighbourhood watch: genomic epidemiology of SARS-CoV-2 variants circulating in a German federal state, Mecklenburg-Western Pomerania, in 2020–2022 |
title_fullStr | Neighbourhood watch: genomic epidemiology of SARS-CoV-2 variants circulating in a German federal state, Mecklenburg-Western Pomerania, in 2020–2022 |
title_full_unstemmed | Neighbourhood watch: genomic epidemiology of SARS-CoV-2 variants circulating in a German federal state, Mecklenburg-Western Pomerania, in 2020–2022 |
title_short | Neighbourhood watch: genomic epidemiology of SARS-CoV-2 variants circulating in a German federal state, Mecklenburg-Western Pomerania, in 2020–2022 |
title_sort | neighbourhood watch: genomic epidemiology of sars-cov-2 variants circulating in a german federal state, mecklenburg-western pomerania, in 2020–2022 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10446807/ https://www.ncbi.nlm.nih.gov/pubmed/37585712 http://dx.doi.org/10.1080/22221751.2023.2245916 |
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