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The analysis of the genotype of Sapovirus outbreaks in Zhejiang Province
BACKGROUND: Sapovirus (SaV) infection is increasing globally. Concurrently, several SaV-outbreaks were observed in children of Zhejiang province, China, in recent years, In this study, the genotypes of Sapovirus from seven outbreaks in the Zhejiang province were analysed. METHODS: A total of 105 fae...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10655437/ https://www.ncbi.nlm.nih.gov/pubmed/37974193 http://dx.doi.org/10.1186/s12985-023-02202-z |
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author | Su, Lingxuan Mao, Haiyan Sun, Yi Yan, Hao Ge, Qiong Gong, Liming Zhang, Yanjun |
author_facet | Su, Lingxuan Mao, Haiyan Sun, Yi Yan, Hao Ge, Qiong Gong, Liming Zhang, Yanjun |
author_sort | Su, Lingxuan |
collection | PubMed |
description | BACKGROUND: Sapovirus (SaV) infection is increasing globally. Concurrently, several SaV-outbreaks were observed in children of Zhejiang province, China, in recent years, In this study, the genotypes of Sapovirus from seven outbreaks in the Zhejiang province were analysed. METHODS: A total of 105 faecal samples were collected from children aged between 4 and 17 years from the Zhejiang Provincial Center for Disease Control and Prevention between October 2021 and February 2023. Genotypes were processed using reverse transcription polymerase chain reaction and Sanger sequencing, while next-generation sequencing was used to generate a complete viral genome. Deduced amino acid sequences were analysed to detect VP1 gene mutations. RESULTS: In total, 60 SaV-positive patients were detected at a 57.14% (60/105) positivity rate. Positive rates in the seven outbreaks were: 22.22% (2/9), 15.00% (3/20), 93.10% (27/29), 84.21% (16/19), 28.57% (2/7), 53.33% (8/15) and 33.33% (2/6), respectively. Four genotypes were identified in the seven outbreaks, of which, GI.1 accounted for 14.29% (1/7), GI.2 accounted for 14.29% (1/7), GI.6 and GII.5 accounted for 14.29% (1/7), and GI.6 accounted for 57.14% (4/7). All patients were children and outbreaks predominantly occurred in primary schools and during cold seasons. Additionally, the complete sequence from the GI.6 outbreak strain showed high homology (identity: 99.99%) with few common substitutions (Y300S, N302S and L8M) in VP1 protein. CONCLUSIONS: SaV genotype diversity was observed in the seven outbreaks, with GI.6 being the main SaV genotype in Zhejiang province. It demonstrated high homology and may provide a platform for SaV prevention and control measures. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12985-023-02202-z. |
format | Online Article Text |
id | pubmed-10655437 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106554372023-11-16 The analysis of the genotype of Sapovirus outbreaks in Zhejiang Province Su, Lingxuan Mao, Haiyan Sun, Yi Yan, Hao Ge, Qiong Gong, Liming Zhang, Yanjun Virol J Research BACKGROUND: Sapovirus (SaV) infection is increasing globally. Concurrently, several SaV-outbreaks were observed in children of Zhejiang province, China, in recent years, In this study, the genotypes of Sapovirus from seven outbreaks in the Zhejiang province were analysed. METHODS: A total of 105 faecal samples were collected from children aged between 4 and 17 years from the Zhejiang Provincial Center for Disease Control and Prevention between October 2021 and February 2023. Genotypes were processed using reverse transcription polymerase chain reaction and Sanger sequencing, while next-generation sequencing was used to generate a complete viral genome. Deduced amino acid sequences were analysed to detect VP1 gene mutations. RESULTS: In total, 60 SaV-positive patients were detected at a 57.14% (60/105) positivity rate. Positive rates in the seven outbreaks were: 22.22% (2/9), 15.00% (3/20), 93.10% (27/29), 84.21% (16/19), 28.57% (2/7), 53.33% (8/15) and 33.33% (2/6), respectively. Four genotypes were identified in the seven outbreaks, of which, GI.1 accounted for 14.29% (1/7), GI.2 accounted for 14.29% (1/7), GI.6 and GII.5 accounted for 14.29% (1/7), and GI.6 accounted for 57.14% (4/7). All patients were children and outbreaks predominantly occurred in primary schools and during cold seasons. Additionally, the complete sequence from the GI.6 outbreak strain showed high homology (identity: 99.99%) with few common substitutions (Y300S, N302S and L8M) in VP1 protein. CONCLUSIONS: SaV genotype diversity was observed in the seven outbreaks, with GI.6 being the main SaV genotype in Zhejiang province. It demonstrated high homology and may provide a platform for SaV prevention and control measures. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12985-023-02202-z. BioMed Central 2023-11-16 /pmc/articles/PMC10655437/ /pubmed/37974193 http://dx.doi.org/10.1186/s12985-023-02202-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 Su, Lingxuan Mao, Haiyan Sun, Yi Yan, Hao Ge, Qiong Gong, Liming Zhang, Yanjun The analysis of the genotype of Sapovirus outbreaks in Zhejiang Province |
title | The analysis of the genotype of Sapovirus outbreaks in Zhejiang Province |
title_full | The analysis of the genotype of Sapovirus outbreaks in Zhejiang Province |
title_fullStr | The analysis of the genotype of Sapovirus outbreaks in Zhejiang Province |
title_full_unstemmed | The analysis of the genotype of Sapovirus outbreaks in Zhejiang Province |
title_short | The analysis of the genotype of Sapovirus outbreaks in Zhejiang Province |
title_sort | analysis of the genotype of sapovirus outbreaks in zhejiang province |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10655437/ https://www.ncbi.nlm.nih.gov/pubmed/37974193 http://dx.doi.org/10.1186/s12985-023-02202-z |
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