Into the dark: exploring the deep ocean with single-virus genomics

Single-virus genomics (SVGs) has been successfully applied to ocean surface samples allowing the discovery of widespread dominant viruses overlooked for years by metagenomics, such as the uncultured virus vSAG 37-F6 infecting the ubiquitous Pelagibacter spp. In SVGs, one uncultured virus at a time i...

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Published in:Viruses
Main Authors: Martínez Hernández, Francisco, Fornas Carreño, Oscar, Martínez García, Manuel
Format: Article in Journal/Newspaper
Language:English
Published: MDPI
Subjects:
Online Access:http://hdl.handle.net/10230/54777
https://doi.org/10.3390/v14071589
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spelling ftupompeufabra:oai:repositori.upf.edu:10230/54777 2023-05-15T17:34:30+02:00 Into the dark: exploring the deep ocean with single-virus genomics Martínez Hernández, Francisco Fornas Carreño, Oscar Martínez García, Manuel application/pdf http://hdl.handle.net/10230/54777 https://doi.org/10.3390/v14071589 eng eng MDPI Viruses. 2022 Jul 21;14(7):1589 info:eu-repo/grantAgreement/ES/2PE/RTI2018-094248-B-I00 Martinez-Hernandez F, Fornas O, Martinez-Garcia M. Into the dark: exploring the deep ocean with single-virus genomics. Viruses. 2022 Jul 21;14(7):1589. DOI:10.3390/v14071589 1999-4915 http://hdl.handle.net/10230/54777 http://dx.doi.org/10.3390/v14071589 © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess CC-BY Deep ocean Marine viruses Single-virus genomics info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion ftupompeufabra https://doi.org/10.3390/v14071589 2022-11-16T00:19:41Z Single-virus genomics (SVGs) has been successfully applied to ocean surface samples allowing the discovery of widespread dominant viruses overlooked for years by metagenomics, such as the uncultured virus vSAG 37-F6 infecting the ubiquitous Pelagibacter spp. In SVGs, one uncultured virus at a time is sorted from the environmental sample, whole-genome amplified, and sequenced. Here, we have applied SVGs to deep-ocean samples (200-4000 m depth) from global Malaspina and MEDIMAX expeditions, demonstrating the feasibility of this method in deep-ocean samples. A total of 1328 virus-like particles were sorted from the North Atlantic Ocean, the deep Mediterranean Sea, and the Pacific Ocean oxygen minimum zone (OMZ). For this proof of concept, sixty single viruses were selected at random for sequencing. Genome annotation identified 27 of these genomes as bona fide viruses, and detected three auxiliary metabolic genes involved in nucleotide biosynthesis and sugar metabolism. Massive protein profile analysis confirmed that these viruses represented novel viral groups not present in databases. Although they were not previously assembled by viromics, global fragment recruitment analysis showed a conserved profile of relative abundance of these viruses in all analyzed samples spanning different oceans. Altogether, these results reveal the feasibility in using SVGs in this vast environment to unveil the genomes of relevant viruses. This research was funded by the Spanish Ministry of Science and Innovation (RTI2018-094248-B-I00), and Generalitat Valenciana (ACIF/2015/332 and APOSTD/2020/237). Article in Journal/Newspaper North Atlantic UPF Digital Repository (Universitat Pompeu Fabra, Barcelona) Pacific Viruses 14 7 1589
institution Open Polar
collection UPF Digital Repository (Universitat Pompeu Fabra, Barcelona)
op_collection_id ftupompeufabra
language English
topic Deep ocean
Marine viruses
Single-virus genomics
spellingShingle Deep ocean
Marine viruses
Single-virus genomics
Martínez Hernández, Francisco
Fornas Carreño, Oscar
Martínez García, Manuel
Into the dark: exploring the deep ocean with single-virus genomics
topic_facet Deep ocean
Marine viruses
Single-virus genomics
description Single-virus genomics (SVGs) has been successfully applied to ocean surface samples allowing the discovery of widespread dominant viruses overlooked for years by metagenomics, such as the uncultured virus vSAG 37-F6 infecting the ubiquitous Pelagibacter spp. In SVGs, one uncultured virus at a time is sorted from the environmental sample, whole-genome amplified, and sequenced. Here, we have applied SVGs to deep-ocean samples (200-4000 m depth) from global Malaspina and MEDIMAX expeditions, demonstrating the feasibility of this method in deep-ocean samples. A total of 1328 virus-like particles were sorted from the North Atlantic Ocean, the deep Mediterranean Sea, and the Pacific Ocean oxygen minimum zone (OMZ). For this proof of concept, sixty single viruses were selected at random for sequencing. Genome annotation identified 27 of these genomes as bona fide viruses, and detected three auxiliary metabolic genes involved in nucleotide biosynthesis and sugar metabolism. Massive protein profile analysis confirmed that these viruses represented novel viral groups not present in databases. Although they were not previously assembled by viromics, global fragment recruitment analysis showed a conserved profile of relative abundance of these viruses in all analyzed samples spanning different oceans. Altogether, these results reveal the feasibility in using SVGs in this vast environment to unveil the genomes of relevant viruses. This research was funded by the Spanish Ministry of Science and Innovation (RTI2018-094248-B-I00), and Generalitat Valenciana (ACIF/2015/332 and APOSTD/2020/237).
format Article in Journal/Newspaper
author Martínez Hernández, Francisco
Fornas Carreño, Oscar
Martínez García, Manuel
author_facet Martínez Hernández, Francisco
Fornas Carreño, Oscar
Martínez García, Manuel
author_sort Martínez Hernández, Francisco
title Into the dark: exploring the deep ocean with single-virus genomics
title_short Into the dark: exploring the deep ocean with single-virus genomics
title_full Into the dark: exploring the deep ocean with single-virus genomics
title_fullStr Into the dark: exploring the deep ocean with single-virus genomics
title_full_unstemmed Into the dark: exploring the deep ocean with single-virus genomics
title_sort into the dark: exploring the deep ocean with single-virus genomics
publisher MDPI
url http://hdl.handle.net/10230/54777
https://doi.org/10.3390/v14071589
geographic Pacific
geographic_facet Pacific
genre North Atlantic
genre_facet North Atlantic
op_relation Viruses. 2022 Jul 21;14(7):1589
info:eu-repo/grantAgreement/ES/2PE/RTI2018-094248-B-I00
Martinez-Hernandez F, Fornas O, Martinez-Garcia M. Into the dark: exploring the deep ocean with single-virus genomics. Viruses. 2022 Jul 21;14(7):1589. DOI:10.3390/v14071589
1999-4915
http://hdl.handle.net/10230/54777
http://dx.doi.org/10.3390/v14071589
op_rights © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
https://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.3390/v14071589
container_title Viruses
container_volume 14
container_issue 7
container_start_page 1589
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