Cargando…
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...
Autores principales: | , , , |
---|---|
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 |
_version_ | 1783746472460681216 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8406186 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT kawasakijunna hiddenviralsequencesinpublicsequencingdataandwarningforfutureemergingdiseases AT kojimashohei hiddenviralsequencesinpublicsequencingdataandwarningforfutureemergingdiseases AT tomonagakeizo hiddenviralsequencesinpublicsequencingdataandwarningforfutureemergingdiseases AT horiemasayuki hiddenviralsequencesinpublicsequencingdataandwarningforfutureemergingdiseases |