Viral Diversity in Benthic Abyssal Ecosystems: Ecological and Methodological Considerations.

deep-sea viromes shotgun viromics ssDNA viruses

Journal

Viruses
ISSN: 1999-4915
Titre abrégé: Viruses
Pays: Switzerland
ID NLM: 101509722

Informations de publication

Date de publication:
21 Nov 2023
Historique:
received: 10 10 2023
revised: 13 11 2023
accepted: 18 11 2023
medline: 23 12 2023
pubmed: 23 12 2023
entrez: 23 12 2023
Statut: epublish

Résumé

Viruses are the most abundant 'biological entities' in the world's oceans. However, technical and methodological constraints limit our understanding of their diversity, particularly in benthic abyssal ecosystems (>4000 m depth). To verify advantages and limitations of analyzing virome DNA subjected either to random amplification or unamplified, we applied shotgun sequencing-by-synthesis to two sample pairs obtained from benthic abyssal sites located in the North-eastern Atlantic Ocean at ca. 4700 m depth. One amplified DNA sample was also subjected to single-molecule long-read sequencing for comparative purposes. Overall, we identified 24,828 viral Operational Taxonomic Units (vOTUs), belonging to 22 viral families. Viral reads were more abundant in the amplified DNA samples (38.5-49.9%) compared to the unamplified ones (4.4-5.8%), with the latter showing a greater viral diversity and 11-16% of dsDNA viruses almost undetectable in the amplified samples. From a procedural point of view, the viromes obtained by direct sequencing (without amplification step) provided a broader overview of both ss and dsDNA viral diversity. Nevertheless, our results suggest that the contextual use of random amplification of the same sample and long-read technology can improve the assessment of viral assemblages by reducing off-target reads.

Identifiants

pubmed: 38140524
pii: v15122282
doi: 10.3390/v15122282
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Italian PRIN2017
ID : 2017EKFA98

Auteurs

Umberto Rosani (U)

Department of Biology, University of Padova, Via U. Bassi 58/b, 35121 Padova, Italy.

Cinzia Corinaldesi (C)

Department of Materials, Environmental Sciences and Urban Planning, Polytechnic University of Marche, Via Brecce Bianche, 60131 Ancona, Italy.

Gabriella Luongo (G)

Department of Life and Environmental Sciences, Polytechnic University of Marche, Via Brecce Bianche, 60131 Ancona, Italy.

Marco Sollitto (M)

Department of Life Sciences, University of Trieste, Via Licio Giorgeri 5, 34127 Trieste, Italy.
Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, 6000 Koper, Slovenia.

Simeone Dal Monego (S)

Laboratorio di Genomica ed Epigenomica, AREA Scienze Park, Padriciano 99, 34149 Trieste, Italy.

Danilo Licastro (D)

Laboratorio di Genomica ed Epigenomica, AREA Scienze Park, Padriciano 99, 34149 Trieste, Italy.

Lucia Bongiorni (L)

Consiglio Nazionale delle Ricerche, Istituto di Scienze Marine, Tesa 104-Arsenale, Castello 2737/F, 30122 Venezia, Italy.

Paola Venier (P)

Department of Biology, University of Padova, Via U. Bassi 58/b, 35121 Padova, Italy.

Alberto Pallavicini (A)

Department of Life Sciences, University of Trieste, Via Licio Giorgeri 5, 34127 Trieste, Italy.

Antonio Dell'Anno (A)

Department of Life and Environmental Sciences, Polytechnic University of Marche, Via Brecce Bianche, 60131 Ancona, Italy.

Classifications MeSH