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Virome diversity analysis reveals novel enteroviruses and a human picobirnavirus in stool samples from African green monkeys with diarrhea

It is important to identify viruses in animals because most infectious diseases in humans are caused by viruses of zoonotic origin. African green monkey is a widely used non-human primate model in biomedical investigations. In this study, total RNAs were extracted from stool samples of 10 African gr...

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Autores principales: Li, Wenjuan, Qiang, Xin, Qin, Si, Huang, Yong, Hu, Yan, Bai, Bingke, Hou, Jun, Gao, Rong, Zhang, Xianglilan, Mi, Zhiqiang, Fan, Hang, Ye, Huahu, Tong, Yigang, Mao, Panyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7102571/
https://www.ncbi.nlm.nih.gov/pubmed/32165243
http://dx.doi.org/10.1016/j.meegid.2020.104279
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author Li, Wenjuan
Qiang, Xin
Qin, Si
Huang, Yong
Hu, Yan
Bai, Bingke
Hou, Jun
Gao, Rong
Zhang, Xianglilan
Mi, Zhiqiang
Fan, Hang
Ye, Huahu
Tong, Yigang
Mao, Panyong
author_facet Li, Wenjuan
Qiang, Xin
Qin, Si
Huang, Yong
Hu, Yan
Bai, Bingke
Hou, Jun
Gao, Rong
Zhang, Xianglilan
Mi, Zhiqiang
Fan, Hang
Ye, Huahu
Tong, Yigang
Mao, Panyong
author_sort Li, Wenjuan
collection PubMed
description It is important to identify viruses in animals because most infectious diseases in humans are caused by viruses of zoonotic origin. African green monkey is a widely used non-human primate model in biomedical investigations. In this study, total RNAs were extracted from stool samples of 10 African green monkeys with diarrhea. High-throughput sequencing was used to characterize viromes. PCR and Sanger sequencing were used to determine the full genome sequences. Great viral diversity was observed. The dominant viruses were enteroviruses and picobirnaviruses. Six enterovirus genomes and a picobirnavirus RNA-dependent RNA polymerase sequence were characterized. Five enteroviruses belonged to two putative new genotypes of species Enterovirus J. One enterovirus belonged to EV-A92. The picobirnavirus RNA-dependent RNA polymerase sequence had the highest nucleotide similarity (93.48%) with human picobirnavirus isolate GPBV6C2. The present study helped to identify the potential zoonotic viruses in African green monkeys. Further investigations are required to elucidate their pathogenic roles in animals and humans.
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spelling pubmed-71025712020-03-31 Virome diversity analysis reveals novel enteroviruses and a human picobirnavirus in stool samples from African green monkeys with diarrhea Li, Wenjuan Qiang, Xin Qin, Si Huang, Yong Hu, Yan Bai, Bingke Hou, Jun Gao, Rong Zhang, Xianglilan Mi, Zhiqiang Fan, Hang Ye, Huahu Tong, Yigang Mao, Panyong Infect Genet Evol Research Paper It is important to identify viruses in animals because most infectious diseases in humans are caused by viruses of zoonotic origin. African green monkey is a widely used non-human primate model in biomedical investigations. In this study, total RNAs were extracted from stool samples of 10 African green monkeys with diarrhea. High-throughput sequencing was used to characterize viromes. PCR and Sanger sequencing were used to determine the full genome sequences. Great viral diversity was observed. The dominant viruses were enteroviruses and picobirnaviruses. Six enterovirus genomes and a picobirnavirus RNA-dependent RNA polymerase sequence were characterized. Five enteroviruses belonged to two putative new genotypes of species Enterovirus J. One enterovirus belonged to EV-A92. The picobirnavirus RNA-dependent RNA polymerase sequence had the highest nucleotide similarity (93.48%) with human picobirnavirus isolate GPBV6C2. The present study helped to identify the potential zoonotic viruses in African green monkeys. Further investigations are required to elucidate their pathogenic roles in animals and humans. Elsevier B.V. 2020-08 2020-03-10 /pmc/articles/PMC7102571/ /pubmed/32165243 http://dx.doi.org/10.1016/j.meegid.2020.104279 Text en © 2020 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Research Paper
Li, Wenjuan
Qiang, Xin
Qin, Si
Huang, Yong
Hu, Yan
Bai, Bingke
Hou, Jun
Gao, Rong
Zhang, Xianglilan
Mi, Zhiqiang
Fan, Hang
Ye, Huahu
Tong, Yigang
Mao, Panyong
Virome diversity analysis reveals novel enteroviruses and a human picobirnavirus in stool samples from African green monkeys with diarrhea
title Virome diversity analysis reveals novel enteroviruses and a human picobirnavirus in stool samples from African green monkeys with diarrhea
title_full Virome diversity analysis reveals novel enteroviruses and a human picobirnavirus in stool samples from African green monkeys with diarrhea
title_fullStr Virome diversity analysis reveals novel enteroviruses and a human picobirnavirus in stool samples from African green monkeys with diarrhea
title_full_unstemmed Virome diversity analysis reveals novel enteroviruses and a human picobirnavirus in stool samples from African green monkeys with diarrhea
title_short Virome diversity analysis reveals novel enteroviruses and a human picobirnavirus in stool samples from African green monkeys with diarrhea
title_sort virome diversity analysis reveals novel enteroviruses and a human picobirnavirus in stool samples from african green monkeys with diarrhea
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7102571/
https://www.ncbi.nlm.nih.gov/pubmed/32165243
http://dx.doi.org/10.1016/j.meegid.2020.104279
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