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Metavirome Analysis and Identification of Midge-Borne Viruses from Yunnan Province, China, in 2021
Midges are widely distributed globally and can transmit various human and animal diseases through blood-sucking. As part of this study, 259,300 midges were collected from four districts in Yunnan province, China, to detect the viral richness and diversity using metavirome analysis techniques. As man...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10535587/ https://www.ncbi.nlm.nih.gov/pubmed/37766224 http://dx.doi.org/10.3390/v15091817 |
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author | Li, Chenghui Wang, Wei Zhang, Xuancheng Xiao, Pengpeng Li, Zhuoxin Wang, Peng Shi, Ning Zhou, Hongning Lu, Huijun Gao, Xu Zhang, He Jin, Ningyi |
author_facet | Li, Chenghui Wang, Wei Zhang, Xuancheng Xiao, Pengpeng Li, Zhuoxin Wang, Peng Shi, Ning Zhou, Hongning Lu, Huijun Gao, Xu Zhang, He Jin, Ningyi |
author_sort | Li, Chenghui |
collection | PubMed |
description | Midges are widely distributed globally and can transmit various human and animal diseases through blood-sucking. As part of this study, 259,300 midges were collected from four districts in Yunnan province, China, to detect the viral richness and diversity using metavirome analysis techniques. As many as 26 virus families were detected, and the partial sequences of bluetongue virus (BTV), dengue virus (DENV), and Getah virus (GETV) were identified by phylogenetic analysis and PCR amplification. Two BTV gene fragments, 866 bps for the VP2 gene of BTV type 16 and 655 bps for the VP5 gene of BTV type 21, were amplified. The nucleotide sequence identities of the two amplified BTV fragments were 94.46% and 98.81%, respectively, with two classical BTV-16 (GenBank: JN671907) and BTV-21 strains (GenBank: MK250961) isolated in Yunnan province. Furthermore, the BTV-16 DH2021 strain was successfully isolated in C6/36 cells, and the peak value of the copy number reached 3.13 × 10(7) copies/μL after five consecutive BHK-21 cell passages. Moreover, two 2054 bps fragments including the E gene of DENV genotype Asia II were amplified and shared the highest identity with the DENV strain isolated in New Guinea in 1944. A length of 656 bps GETV gene sequence encoded the partial capsid protein, and it shared the highest identity of 99.68% with the GETV isolated from Shandong province, China, in 2017. Overall, this study emphasizes the importance of implementing prevention and control strategies for viral diseases transmitted by midges in China. |
format | Online Article Text |
id | pubmed-10535587 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-105355872023-09-29 Metavirome Analysis and Identification of Midge-Borne Viruses from Yunnan Province, China, in 2021 Li, Chenghui Wang, Wei Zhang, Xuancheng Xiao, Pengpeng Li, Zhuoxin Wang, Peng Shi, Ning Zhou, Hongning Lu, Huijun Gao, Xu Zhang, He Jin, Ningyi Viruses Article Midges are widely distributed globally and can transmit various human and animal diseases through blood-sucking. As part of this study, 259,300 midges were collected from four districts in Yunnan province, China, to detect the viral richness and diversity using metavirome analysis techniques. As many as 26 virus families were detected, and the partial sequences of bluetongue virus (BTV), dengue virus (DENV), and Getah virus (GETV) were identified by phylogenetic analysis and PCR amplification. Two BTV gene fragments, 866 bps for the VP2 gene of BTV type 16 and 655 bps for the VP5 gene of BTV type 21, were amplified. The nucleotide sequence identities of the two amplified BTV fragments were 94.46% and 98.81%, respectively, with two classical BTV-16 (GenBank: JN671907) and BTV-21 strains (GenBank: MK250961) isolated in Yunnan province. Furthermore, the BTV-16 DH2021 strain was successfully isolated in C6/36 cells, and the peak value of the copy number reached 3.13 × 10(7) copies/μL after five consecutive BHK-21 cell passages. Moreover, two 2054 bps fragments including the E gene of DENV genotype Asia II were amplified and shared the highest identity with the DENV strain isolated in New Guinea in 1944. A length of 656 bps GETV gene sequence encoded the partial capsid protein, and it shared the highest identity of 99.68% with the GETV isolated from Shandong province, China, in 2017. Overall, this study emphasizes the importance of implementing prevention and control strategies for viral diseases transmitted by midges in China. MDPI 2023-08-26 /pmc/articles/PMC10535587/ /pubmed/37766224 http://dx.doi.org/10.3390/v15091817 Text en © 2023 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 Li, Chenghui Wang, Wei Zhang, Xuancheng Xiao, Pengpeng Li, Zhuoxin Wang, Peng Shi, Ning Zhou, Hongning Lu, Huijun Gao, Xu Zhang, He Jin, Ningyi Metavirome Analysis and Identification of Midge-Borne Viruses from Yunnan Province, China, in 2021 |
title | Metavirome Analysis and Identification of Midge-Borne Viruses from Yunnan Province, China, in 2021 |
title_full | Metavirome Analysis and Identification of Midge-Borne Viruses from Yunnan Province, China, in 2021 |
title_fullStr | Metavirome Analysis and Identification of Midge-Borne Viruses from Yunnan Province, China, in 2021 |
title_full_unstemmed | Metavirome Analysis and Identification of Midge-Borne Viruses from Yunnan Province, China, in 2021 |
title_short | Metavirome Analysis and Identification of Midge-Borne Viruses from Yunnan Province, China, in 2021 |
title_sort | metavirome analysis and identification of midge-borne viruses from yunnan province, china, in 2021 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10535587/ https://www.ncbi.nlm.nih.gov/pubmed/37766224 http://dx.doi.org/10.3390/v15091817 |
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