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Hidden Viral Sequences in Public Sequencing Data and Warning for Future Emerging Diseases

RNA viruses cause numerous emerging diseases, mostly due to transmission from mammalian and avian reservoirs. Large-scale surveillance of RNA viral infections in these animals is a fundamental step for controlling viral infectious diseases. Metagenomic analysis is a powerful method for virus identif...

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Autores principales: Kawasaki, Junna, Kojima, Shohei, Tomonaga, Keizo, Horie, Masayuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8406186/
https://www.ncbi.nlm.nih.gov/pubmed/34399612
http://dx.doi.org/10.1128/mBio.01638-21
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author Kawasaki, Junna
Kojima, Shohei
Tomonaga, Keizo
Horie, Masayuki
author_facet Kawasaki, Junna
Kojima, Shohei
Tomonaga, Keizo
Horie, Masayuki
author_sort Kawasaki, Junna
collection PubMed
description RNA viruses cause numerous emerging diseases, mostly due to transmission from mammalian and avian reservoirs. Large-scale surveillance of RNA viral infections in these animals is a fundamental step for controlling viral infectious diseases. Metagenomic analysis is a powerful method for virus identification with low bias and has contributed substantially to the discovery of novel viruses. Deep-sequencing data have been collected from diverse animals and accumulated in public databases, which can be valuable resources for identifying unknown viral sequences. Here, we screened for infections of 33 RNA viral families in publicly available mammalian and avian sequencing data and found approximately 900 hidden viral infections. We also discovered six nearly complete viral genomes in livestock, wild, and experimental animals: hepatovirus in a goat, hepeviruses in blind mole-rats and a galago, astrovirus in macaque monkeys, parechovirus in a cow, and pegivirus in tree shrews. Some of these viruses were phylogenetically close to human-pathogenic viruses, suggesting the potential risk of causing disease in humans upon infection. Furthermore, infections of five novel viruses were identified in several different individuals, indicating that their infections may have already spread in the natural host population. Our findings demonstrate the reusability of public sequencing data for surveying viral infections and identifying novel viral sequences, presenting a warning about a new threat of viral infectious disease to public health.
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spelling pubmed-84061862021-09-09 Hidden Viral Sequences in Public Sequencing Data and Warning for Future Emerging Diseases Kawasaki, Junna Kojima, Shohei Tomonaga, Keizo Horie, Masayuki mBio Research Article RNA viruses cause numerous emerging diseases, mostly due to transmission from mammalian and avian reservoirs. Large-scale surveillance of RNA viral infections in these animals is a fundamental step for controlling viral infectious diseases. Metagenomic analysis is a powerful method for virus identification with low bias and has contributed substantially to the discovery of novel viruses. Deep-sequencing data have been collected from diverse animals and accumulated in public databases, which can be valuable resources for identifying unknown viral sequences. Here, we screened for infections of 33 RNA viral families in publicly available mammalian and avian sequencing data and found approximately 900 hidden viral infections. We also discovered six nearly complete viral genomes in livestock, wild, and experimental animals: hepatovirus in a goat, hepeviruses in blind mole-rats and a galago, astrovirus in macaque monkeys, parechovirus in a cow, and pegivirus in tree shrews. Some of these viruses were phylogenetically close to human-pathogenic viruses, suggesting the potential risk of causing disease in humans upon infection. Furthermore, infections of five novel viruses were identified in several different individuals, indicating that their infections may have already spread in the natural host population. Our findings demonstrate the reusability of public sequencing data for surveying viral infections and identifying novel viral sequences, presenting a warning about a new threat of viral infectious disease to public health. American Society for Microbiology 2021-08-17 /pmc/articles/PMC8406186/ /pubmed/34399612 http://dx.doi.org/10.1128/mBio.01638-21 Text en Copyright © 2021 Kawasaki et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Kawasaki, Junna
Kojima, Shohei
Tomonaga, Keizo
Horie, Masayuki
Hidden Viral Sequences in Public Sequencing Data and Warning for Future Emerging Diseases
title Hidden Viral Sequences in Public Sequencing Data and Warning for Future Emerging Diseases
title_full Hidden Viral Sequences in Public Sequencing Data and Warning for Future Emerging Diseases
title_fullStr Hidden Viral Sequences in Public Sequencing Data and Warning for Future Emerging Diseases
title_full_unstemmed Hidden Viral Sequences in Public Sequencing Data and Warning for Future Emerging Diseases
title_short Hidden Viral Sequences in Public Sequencing Data and Warning for Future Emerging Diseases
title_sort hidden viral sequences in public sequencing data and warning for future emerging diseases
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8406186/
https://www.ncbi.nlm.nih.gov/pubmed/34399612
http://dx.doi.org/10.1128/mBio.01638-21
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