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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...

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Autores principales: Su, Lingxuan, Mao, Haiyan, Sun, Yi, Yan, Hao, Ge, Qiong, Gong, Liming, Zhang, Yanjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
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.
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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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