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Diving deep into fish bornaviruses: Uncovering hidden diversity and transcriptional strategies through comprehensive data mining
Recently, we discovered two novel orthobornaviruses in colubrid and viperid snakes using an in silico data-mining approach. Here, we present the results of a screening of more than 100,000 nucleic acid sequence datasets of fish samples from the Sequence Read Archive (SRA) for potential bornaviral se...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645145/ https://www.ncbi.nlm.nih.gov/pubmed/38028148 http://dx.doi.org/10.1093/ve/vead062 |
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author | Eshak, Mirette I Y Rubbenstroth, Dennis Beer, Martin Pfaff, Florian |
author_facet | Eshak, Mirette I Y Rubbenstroth, Dennis Beer, Martin Pfaff, Florian |
author_sort | Eshak, Mirette I Y |
collection | PubMed |
description | Recently, we discovered two novel orthobornaviruses in colubrid and viperid snakes using an in silico data-mining approach. Here, we present the results of a screening of more than 100,000 nucleic acid sequence datasets of fish samples from the Sequence Read Archive (SRA) for potential bornaviral sequences. We discovered the potentially complete genomes of seven bornavirids in datasets from osteichthyans and chondrichthyans. Four of these are likely to represent novel species within the genus Cultervirus, and we propose that one genome represents a novel genus within the family of Bornaviridae. Specifically, we identified sequences of Wǔhàn sharpbelly bornavirus in sequence data from the widely used grass carp liver and kidney cell lines L8824 and CIK, respectively. A complete genome of Murray–Darling carp bornavirus was identified in sequence data from a goldfish (Carassius auratus). The newly discovered little skate bornavirus, identified in the little skate (Leucoraja erinacea) dataset, contained a novel and unusual genomic architecture (N-Vp1-Vp2-X-P-G-M-L), as compared to other bornavirids. Its genome is thought to encode two additional open reading frames (tentatively named Vp1 and Vp2), which appear to represent ancient duplications of the gene encoding the viral glycoprotein (G). The datasets also provided insights into the possible transcriptional gradients of these bornavirids and revealed previously unknown splicing mechanisms. |
format | Online Article Text |
id | pubmed-10645145 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-106451452023-11-02 Diving deep into fish bornaviruses: Uncovering hidden diversity and transcriptional strategies through comprehensive data mining Eshak, Mirette I Y Rubbenstroth, Dennis Beer, Martin Pfaff, Florian Virus Evol Research Article Recently, we discovered two novel orthobornaviruses in colubrid and viperid snakes using an in silico data-mining approach. Here, we present the results of a screening of more than 100,000 nucleic acid sequence datasets of fish samples from the Sequence Read Archive (SRA) for potential bornaviral sequences. We discovered the potentially complete genomes of seven bornavirids in datasets from osteichthyans and chondrichthyans. Four of these are likely to represent novel species within the genus Cultervirus, and we propose that one genome represents a novel genus within the family of Bornaviridae. Specifically, we identified sequences of Wǔhàn sharpbelly bornavirus in sequence data from the widely used grass carp liver and kidney cell lines L8824 and CIK, respectively. A complete genome of Murray–Darling carp bornavirus was identified in sequence data from a goldfish (Carassius auratus). The newly discovered little skate bornavirus, identified in the little skate (Leucoraja erinacea) dataset, contained a novel and unusual genomic architecture (N-Vp1-Vp2-X-P-G-M-L), as compared to other bornavirids. Its genome is thought to encode two additional open reading frames (tentatively named Vp1 and Vp2), which appear to represent ancient duplications of the gene encoding the viral glycoprotein (G). The datasets also provided insights into the possible transcriptional gradients of these bornavirids and revealed previously unknown splicing mechanisms. Oxford University Press 2023-11-02 /pmc/articles/PMC10645145/ /pubmed/38028148 http://dx.doi.org/10.1093/ve/vead062 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Research Article Eshak, Mirette I Y Rubbenstroth, Dennis Beer, Martin Pfaff, Florian Diving deep into fish bornaviruses: Uncovering hidden diversity and transcriptional strategies through comprehensive data mining |
title | Diving deep into fish bornaviruses: Uncovering hidden diversity and transcriptional strategies through comprehensive data mining |
title_full | Diving deep into fish bornaviruses: Uncovering hidden diversity and transcriptional strategies through comprehensive data mining |
title_fullStr | Diving deep into fish bornaviruses: Uncovering hidden diversity and transcriptional strategies through comprehensive data mining |
title_full_unstemmed | Diving deep into fish bornaviruses: Uncovering hidden diversity and transcriptional strategies through comprehensive data mining |
title_short | Diving deep into fish bornaviruses: Uncovering hidden diversity and transcriptional strategies through comprehensive data mining |
title_sort | diving deep into fish bornaviruses: uncovering hidden diversity and transcriptional strategies through comprehensive data mining |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645145/ https://www.ncbi.nlm.nih.gov/pubmed/38028148 http://dx.doi.org/10.1093/ve/vead062 |
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