Dual analysis of virus-host interactions: the case of OsHV-1 and the cupped oyster Crassostrea gigas
Dual analyses of the interactions between Ostreid herpesvirus type 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 cu...
Published in: | Evolutionary Bioinformatics |
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Online Access: | http://hdl.handle.net/11577/3286705 https://doi.org/10.1177/1176934319831305 |
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ftunivpadovairis:oai:www.research.unipd.it:11577/3286705 2024-04-21T08:00:32+00:00 Dual analysis of virus-host interactions: the case of OsHV-1 and the cupped oyster Crassostrea gigas Rosani Umberto Young Tim Bai Chang-Ming Alfaro Andrea Venier Paola Rosani, Umberto Young, Tim Bai, Chang-Ming Alfaro, Andrea Venier, Paola 2019 ELETTRONICO http://hdl.handle.net/11577/3286705 https://doi.org/10.1177/1176934319831305 eng eng SAGE Pu. info:eu-repo/semantics/altIdentifier/pmid/30828244 info:eu-repo/semantics/altIdentifier/wos/WOS:000464247900001 volume:15 firstpage:1 lastpage:8 numberofpages:8 journal:EVOLUTIONARY BIOINFORMATICS ONLINE info:eu-repo/grantAgreement/EC/H2020/678589 http://hdl.handle.net/11577/3286705 doi:10.1177/1176934319831305 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85063671766 OsHV-1 Crassostrea gigas dual analysis omics info:eu-repo/semantics/article 2019 ftunivpadovairis https://doi.org/10.1177/1176934319831305 2024-03-28T02:02:45Z Dual analyses of the interactions between Ostreid herpesvirus type 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 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 Padua Research Archive (IRIS - Università degli Studi di Padova) Evolutionary Bioinformatics 15 117693431983130 |
institution |
Open Polar |
collection |
Padua Research Archive (IRIS - Università degli Studi di Padova) |
op_collection_id |
ftunivpadovairis |
language |
English |
topic |
OsHV-1 Crassostrea gigas dual analysis omics |
spellingShingle |
OsHV-1 Crassostrea gigas dual analysis omics Rosani Umberto Young Tim Bai Chang-Ming Alfaro Andrea Venier Paola Dual analysis of virus-host interactions: the case of OsHV-1 and the cupped oyster Crassostrea gigas |
topic_facet |
OsHV-1 Crassostrea gigas dual analysis omics |
description |
Dual analyses of the interactions between Ostreid herpesvirus type 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 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 |
author2 |
Rosani, Umberto Young, Tim Bai, Chang-Ming Alfaro, Andrea Venier, Paola |
format |
Article in Journal/Newspaper |
author |
Rosani Umberto Young Tim Bai Chang-Ming Alfaro Andrea Venier Paola |
author_facet |
Rosani Umberto Young Tim Bai Chang-Ming Alfaro Andrea Venier Paola |
author_sort |
Rosani Umberto |
title |
Dual analysis of virus-host interactions: the case of OsHV-1 and the cupped oyster Crassostrea gigas |
title_short |
Dual analysis of virus-host interactions: the case of OsHV-1 and the cupped oyster Crassostrea gigas |
title_full |
Dual analysis of virus-host interactions: the case of OsHV-1 and the cupped oyster Crassostrea gigas |
title_fullStr |
Dual analysis of virus-host interactions: the case of OsHV-1 and the cupped oyster Crassostrea gigas |
title_full_unstemmed |
Dual analysis of virus-host interactions: the case of OsHV-1 and the cupped oyster Crassostrea gigas |
title_sort |
dual analysis of virus-host interactions: the case of oshv-1 and the cupped oyster crassostrea gigas |
publisher |
SAGE Pu. |
publishDate |
2019 |
url |
http://hdl.handle.net/11577/3286705 https://doi.org/10.1177/1176934319831305 |
genre |
Crassostrea gigas |
genre_facet |
Crassostrea gigas |
op_relation |
info:eu-repo/semantics/altIdentifier/pmid/30828244 info:eu-repo/semantics/altIdentifier/wos/WOS:000464247900001 volume:15 firstpage:1 lastpage:8 numberofpages:8 journal:EVOLUTIONARY BIOINFORMATICS ONLINE info:eu-repo/grantAgreement/EC/H2020/678589 http://hdl.handle.net/11577/3286705 doi:10.1177/1176934319831305 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85063671766 |
op_doi |
https://doi.org/10.1177/1176934319831305 |
container_title |
Evolutionary Bioinformatics |
container_volume |
15 |
container_start_page |
117693431983130 |
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1796941003522834432 |