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A Survey of Overlooked Viral Infections in Biological Experiment Systems
It is commonly accepted that there are many unknown viruses on the planet. For the known viruses, do we know their prevalence, even in our experimental systems? Here we report a virus survey using recently published small (s)RNA sequencing datasets. The sRNA reads were assembled and contigs were scr...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4140767/ https://www.ncbi.nlm.nih.gov/pubmed/25144530 http://dx.doi.org/10.1371/journal.pone.0105348 |
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author | Wang, Yajing Wang, Hui Xu, Kunhan Ni, Peixiang Zhang, Huan Ma, Jinmin Yang, Huanming Xu, Feng |
author_facet | Wang, Yajing Wang, Hui Xu, Kunhan Ni, Peixiang Zhang, Huan Ma, Jinmin Yang, Huanming Xu, Feng |
author_sort | Wang, Yajing |
collection | PubMed |
description | It is commonly accepted that there are many unknown viruses on the planet. For the known viruses, do we know their prevalence, even in our experimental systems? Here we report a virus survey using recently published small (s)RNA sequencing datasets. The sRNA reads were assembled and contigs were screened for virus homologues against the NCBI nucleotide (nt) database using the BLASTn program. To our surprise, approximately 30% (28 out of 94) of publications had highly scored viral sequences in their datasets. Among them, only two publications reported virus infections. Though viral vectors were used in some of the publications, virus sequences without any identifiable source appeared in more than 20 publications. By determining the distributions of viral reads and the antiviral RNA interference (RNAi) pathways using the sRNA profiles, we showed evidence that many of the viruses identified were indeed infecting and generated host RNAi responses. As virus infections affect many aspects of host molecular biology and metabolism, the presence and impact of viruses needs to be actively investigated in experimental systems. |
format | Online Article Text |
id | pubmed-4140767 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-41407672014-08-25 A Survey of Overlooked Viral Infections in Biological Experiment Systems Wang, Yajing Wang, Hui Xu, Kunhan Ni, Peixiang Zhang, Huan Ma, Jinmin Yang, Huanming Xu, Feng PLoS One Research Article It is commonly accepted that there are many unknown viruses on the planet. For the known viruses, do we know their prevalence, even in our experimental systems? Here we report a virus survey using recently published small (s)RNA sequencing datasets. The sRNA reads were assembled and contigs were screened for virus homologues against the NCBI nucleotide (nt) database using the BLASTn program. To our surprise, approximately 30% (28 out of 94) of publications had highly scored viral sequences in their datasets. Among them, only two publications reported virus infections. Though viral vectors were used in some of the publications, virus sequences without any identifiable source appeared in more than 20 publications. By determining the distributions of viral reads and the antiviral RNA interference (RNAi) pathways using the sRNA profiles, we showed evidence that many of the viruses identified were indeed infecting and generated host RNAi responses. As virus infections affect many aspects of host molecular biology and metabolism, the presence and impact of viruses needs to be actively investigated in experimental systems. Public Library of Science 2014-08-21 /pmc/articles/PMC4140767/ /pubmed/25144530 http://dx.doi.org/10.1371/journal.pone.0105348 Text en © 2014 Wang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Wang, Yajing Wang, Hui Xu, Kunhan Ni, Peixiang Zhang, Huan Ma, Jinmin Yang, Huanming Xu, Feng A Survey of Overlooked Viral Infections in Biological Experiment Systems |
title | A Survey of Overlooked Viral Infections in Biological Experiment Systems |
title_full | A Survey of Overlooked Viral Infections in Biological Experiment Systems |
title_fullStr | A Survey of Overlooked Viral Infections in Biological Experiment Systems |
title_full_unstemmed | A Survey of Overlooked Viral Infections in Biological Experiment Systems |
title_short | A Survey of Overlooked Viral Infections in Biological Experiment Systems |
title_sort | survey of overlooked viral infections in biological experiment systems |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4140767/ https://www.ncbi.nlm.nih.gov/pubmed/25144530 http://dx.doi.org/10.1371/journal.pone.0105348 |
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