Dual Analysis of Virus-host Interactions: The Case of Ostreid Herpesvirus 1 and the Cupped Oyster Crassostrea Gigas
Dual analyses of the interactions between Ostreid herpesvirus 1 (OsHV-1) and the bivalve Crassostrea gigas during infection can unveil events critical to the onset and progression of this viral disease and can provide novel strategies for mitigating and preventing oyster mortality. Among the current...
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2019
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Online Access: | https://hdl.handle.net/10292/12743 https://doi.org/10.1177/1176934319831305 |
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ftautuniv:oai:openrepository.aut.ac.nz:10292/12743 2023-10-01T03:55:31+02:00 Dual Analysis of Virus-host Interactions: The Case of Ostreid Herpesvirus 1 and the Cupped Oyster Crassostrea Gigas Rosani, U Young, T Bai, CM Alfaro, AC Venier, P 2019 application/pdf https://hdl.handle.net/10292/12743 https://doi.org/10.1177/1176934319831305 unknown Libertas Academica https://journals.sagepub.com/doi/10.1177/1176934319831305 Evolutionary Bioinformatics. https://doi.org/10.1177/1176934319831305 doi:10.1177/1176934319831305 1176-9343 https://hdl.handle.net/10292/12743 This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). OpenAccess OsHV-1 Crassostrea gigas Omics Journal Article 2019 ftautuniv https://doi.org/10.1177/1176934319831305 2023-09-06T14:04:13Z Dual analyses of the interactions between Ostreid herpesvirus 1 (OsHV-1) and the bivalve Crassostrea gigas during infection can unveil events critical to the onset and progression of this viral disease and can provide novel strategies for mitigating and preventing oyster mortality. Among the currently used “omics” technologies, dual transcriptomics (dual RNA-seq) coupled with the analysis of viral DNA in the host tissues has greatly advanced the knowledge of genes and pathways mostly contributing to host defense responses, expression profiles of annotated and unknown OsHV-1 open reading frames (ORFs), and viral genome variability. In addition to dual RNA-seq, proteomics and metabolomics analyses have the potential to add complementary information, needed to understand how a malacoherpesvirus can redirect and exploit the vital processes of its host. This review explores our current knowledge of “omics” technologies in the study of host-pathogen interactions and highlights relevant applications of these fields of expertise to the complex case of C gigas infections by OsHV-1, which currently threaten the mollusk production sector worldwide. Article in Journal/Newspaper Crassostrea gigas Auckland University of Technology: Tuwhera Open Research Evolutionary Bioinformatics 15 117693431983130 |
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Auckland University of Technology: Tuwhera Open Research |
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unknown |
topic |
OsHV-1 Crassostrea gigas Omics |
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OsHV-1 Crassostrea gigas Omics Rosani, U Young, T Bai, CM Alfaro, AC Venier, P Dual Analysis of Virus-host Interactions: The Case of Ostreid Herpesvirus 1 and the Cupped Oyster Crassostrea Gigas |
topic_facet |
OsHV-1 Crassostrea gigas Omics |
description |
Dual analyses of the interactions between Ostreid herpesvirus 1 (OsHV-1) and the bivalve Crassostrea gigas during infection can unveil events critical to the onset and progression of this viral disease and can provide novel strategies for mitigating and preventing oyster mortality. Among the currently used “omics” technologies, dual transcriptomics (dual RNA-seq) coupled with the analysis of viral DNA in the host tissues has greatly advanced the knowledge of genes and pathways mostly contributing to host defense responses, expression profiles of annotated and unknown OsHV-1 open reading frames (ORFs), and viral genome variability. In addition to dual RNA-seq, proteomics and metabolomics analyses have the potential to add complementary information, needed to understand how a malacoherpesvirus can redirect and exploit the vital processes of its host. This review explores our current knowledge of “omics” technologies in the study of host-pathogen interactions and highlights relevant applications of these fields of expertise to the complex case of C gigas infections by OsHV-1, which currently threaten the mollusk production sector worldwide. |
format |
Article in Journal/Newspaper |
author |
Rosani, U Young, T Bai, CM Alfaro, AC Venier, P |
author_facet |
Rosani, U Young, T Bai, CM Alfaro, AC Venier, P |
author_sort |
Rosani, U |
title |
Dual Analysis of Virus-host Interactions: The Case of Ostreid Herpesvirus 1 and the Cupped Oyster Crassostrea Gigas |
title_short |
Dual Analysis of Virus-host Interactions: The Case of Ostreid Herpesvirus 1 and the Cupped Oyster Crassostrea Gigas |
title_full |
Dual Analysis of Virus-host Interactions: The Case of Ostreid Herpesvirus 1 and the Cupped Oyster Crassostrea Gigas |
title_fullStr |
Dual Analysis of Virus-host Interactions: The Case of Ostreid Herpesvirus 1 and the Cupped Oyster Crassostrea Gigas |
title_full_unstemmed |
Dual Analysis of Virus-host Interactions: The Case of Ostreid Herpesvirus 1 and the Cupped Oyster Crassostrea Gigas |
title_sort |
dual analysis of virus-host interactions: the case of ostreid herpesvirus 1 and the cupped oyster crassostrea gigas |
publisher |
Libertas Academica |
publishDate |
2019 |
url |
https://hdl.handle.net/10292/12743 https://doi.org/10.1177/1176934319831305 |
genre |
Crassostrea gigas |
genre_facet |
Crassostrea gigas |
op_relation |
https://journals.sagepub.com/doi/10.1177/1176934319831305 Evolutionary Bioinformatics. https://doi.org/10.1177/1176934319831305 doi:10.1177/1176934319831305 1176-9343 https://hdl.handle.net/10292/12743 |
op_rights |
This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). OpenAccess |
op_doi |
https://doi.org/10.1177/1176934319831305 |
container_title |
Evolutionary Bioinformatics |
container_volume |
15 |
container_start_page |
117693431983130 |
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1778524035081043968 |