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Intra-host variation and evolutionary dynamics of SARS-CoV-2 populations in COVID-19 patients
BACKGROUND: Since early February 2021, the causative agent of COVID-19, SARS-CoV-2, has infected over 104 million people with more than 2 million deaths according to official reports. The key to understanding the biology and virus-host interactions of SARS-CoV-2 requires the knowledge of mutation an...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7898256/ https://www.ncbi.nlm.nih.gov/pubmed/33618765 http://dx.doi.org/10.1186/s13073-021-00847-5 |
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author | Wang, Yanqun Wang, Daxi Zhang, Lu Sun, Wanying Zhang, Zhaoyong Chen, Weijun Zhu, Airu Huang, Yongbo Xiao, Fei Yao, Jinxiu Gan, Mian Li, Fang Luo, Ling Huang, Xiaofang Zhang, Yanjun Wong, Sook-san Cheng, Xinyi Ji, Jingkai Ou, Zhihua Xiao, Minfeng Li, Min Li, Jiandong Ren, Peidi Deng, Ziqing Zhong, Huanzi Xu, Xun Song, Tie Mok, Chris Ka Pun Peiris, Malik Zhong, Nanshan Zhao, Jingxian Li, Yimin Li, Junhua Zhao, Jincun |
author_facet | Wang, Yanqun Wang, Daxi Zhang, Lu Sun, Wanying Zhang, Zhaoyong Chen, Weijun Zhu, Airu Huang, Yongbo Xiao, Fei Yao, Jinxiu Gan, Mian Li, Fang Luo, Ling Huang, Xiaofang Zhang, Yanjun Wong, Sook-san Cheng, Xinyi Ji, Jingkai Ou, Zhihua Xiao, Minfeng Li, Min Li, Jiandong Ren, Peidi Deng, Ziqing Zhong, Huanzi Xu, Xun Song, Tie Mok, Chris Ka Pun Peiris, Malik Zhong, Nanshan Zhao, Jingxian Li, Yimin Li, Junhua Zhao, Jincun |
author_sort | Wang, Yanqun |
collection | PubMed |
description | BACKGROUND: Since early February 2021, the causative agent of COVID-19, SARS-CoV-2, has infected over 104 million people with more than 2 million deaths according to official reports. The key to understanding the biology and virus-host interactions of SARS-CoV-2 requires the knowledge of mutation and evolution of this virus at both inter- and intra-host levels. However, despite quite a few polymorphic sites identified among SARS-CoV-2 populations, intra-host variant spectra and their evolutionary dynamics remain mostly unknown. METHODS: Using high-throughput sequencing of metatranscriptomic and hybrid captured libraries, we characterized consensus genomes and intra-host single nucleotide variations (iSNVs) of serial samples collected from eight patients with COVID-19. The distribution of iSNVs along the SARS-CoV-2 genome was analyzed and co-occurring iSNVs among COVID-19 patients were identified. We also compared the evolutionary dynamics of SARS-CoV-2 population in the respiratory tract (RT) and gastrointestinal tract (GIT). RESULTS: The 32 consensus genomes revealed the co-existence of different genotypes within the same patient. We further identified 40 intra-host single nucleotide variants (iSNVs). Most (30/40) iSNVs presented in a single patient, while ten iSNVs were found in at least two patients or identical to consensus variants. Comparing allele frequencies of the iSNVs revealed a clear genetic differentiation between intra-host populations from the respiratory tract (RT) and gastrointestinal tract (GIT), mostly driven by bottleneck events during intra-host migrations. Compared to RT populations, the GIT populations showed a better maintenance and rapid development of viral genetic diversity following the suspected intra-host bottlenecks. CONCLUSIONS: Our findings here illustrate the intra-host bottlenecks and evolutionary dynamics of SARS-CoV-2 in different anatomic sites and may provide new insights to understand the virus-host interactions of coronaviruses and other RNA viruses. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-021-00847-5. |
format | Online Article Text |
id | pubmed-7898256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-78982562021-02-22 Intra-host variation and evolutionary dynamics of SARS-CoV-2 populations in COVID-19 patients Wang, Yanqun Wang, Daxi Zhang, Lu Sun, Wanying Zhang, Zhaoyong Chen, Weijun Zhu, Airu Huang, Yongbo Xiao, Fei Yao, Jinxiu Gan, Mian Li, Fang Luo, Ling Huang, Xiaofang Zhang, Yanjun Wong, Sook-san Cheng, Xinyi Ji, Jingkai Ou, Zhihua Xiao, Minfeng Li, Min Li, Jiandong Ren, Peidi Deng, Ziqing Zhong, Huanzi Xu, Xun Song, Tie Mok, Chris Ka Pun Peiris, Malik Zhong, Nanshan Zhao, Jingxian Li, Yimin Li, Junhua Zhao, Jincun Genome Med Research BACKGROUND: Since early February 2021, the causative agent of COVID-19, SARS-CoV-2, has infected over 104 million people with more than 2 million deaths according to official reports. The key to understanding the biology and virus-host interactions of SARS-CoV-2 requires the knowledge of mutation and evolution of this virus at both inter- and intra-host levels. However, despite quite a few polymorphic sites identified among SARS-CoV-2 populations, intra-host variant spectra and their evolutionary dynamics remain mostly unknown. METHODS: Using high-throughput sequencing of metatranscriptomic and hybrid captured libraries, we characterized consensus genomes and intra-host single nucleotide variations (iSNVs) of serial samples collected from eight patients with COVID-19. The distribution of iSNVs along the SARS-CoV-2 genome was analyzed and co-occurring iSNVs among COVID-19 patients were identified. We also compared the evolutionary dynamics of SARS-CoV-2 population in the respiratory tract (RT) and gastrointestinal tract (GIT). RESULTS: The 32 consensus genomes revealed the co-existence of different genotypes within the same patient. We further identified 40 intra-host single nucleotide variants (iSNVs). Most (30/40) iSNVs presented in a single patient, while ten iSNVs were found in at least two patients or identical to consensus variants. Comparing allele frequencies of the iSNVs revealed a clear genetic differentiation between intra-host populations from the respiratory tract (RT) and gastrointestinal tract (GIT), mostly driven by bottleneck events during intra-host migrations. Compared to RT populations, the GIT populations showed a better maintenance and rapid development of viral genetic diversity following the suspected intra-host bottlenecks. CONCLUSIONS: Our findings here illustrate the intra-host bottlenecks and evolutionary dynamics of SARS-CoV-2 in different anatomic sites and may provide new insights to understand the virus-host interactions of coronaviruses and other RNA viruses. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-021-00847-5. BioMed Central 2021-02-22 /pmc/articles/PMC7898256/ /pubmed/33618765 http://dx.doi.org/10.1186/s13073-021-00847-5 Text en © The Author(s) 2021 Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://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 Wang, Yanqun Wang, Daxi Zhang, Lu Sun, Wanying Zhang, Zhaoyong Chen, Weijun Zhu, Airu Huang, Yongbo Xiao, Fei Yao, Jinxiu Gan, Mian Li, Fang Luo, Ling Huang, Xiaofang Zhang, Yanjun Wong, Sook-san Cheng, Xinyi Ji, Jingkai Ou, Zhihua Xiao, Minfeng Li, Min Li, Jiandong Ren, Peidi Deng, Ziqing Zhong, Huanzi Xu, Xun Song, Tie Mok, Chris Ka Pun Peiris, Malik Zhong, Nanshan Zhao, Jingxian Li, Yimin Li, Junhua Zhao, Jincun Intra-host variation and evolutionary dynamics of SARS-CoV-2 populations in COVID-19 patients |
title | Intra-host variation and evolutionary dynamics of SARS-CoV-2 populations in COVID-19 patients |
title_full | Intra-host variation and evolutionary dynamics of SARS-CoV-2 populations in COVID-19 patients |
title_fullStr | Intra-host variation and evolutionary dynamics of SARS-CoV-2 populations in COVID-19 patients |
title_full_unstemmed | Intra-host variation and evolutionary dynamics of SARS-CoV-2 populations in COVID-19 patients |
title_short | Intra-host variation and evolutionary dynamics of SARS-CoV-2 populations in COVID-19 patients |
title_sort | intra-host variation and evolutionary dynamics of sars-cov-2 populations in covid-19 patients |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7898256/ https://www.ncbi.nlm.nih.gov/pubmed/33618765 http://dx.doi.org/10.1186/s13073-021-00847-5 |
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