Martínez Hernández, FranciscoFornas Carreño, OscarLluesma Gómez, MónicaBolduc, Benjaminde la Cruz Peña, María JoseMartínez Martínez, JoaquínAntón, JosefaGasol, Josep M.Rosselli, RiccardoRodríguez Valera, FranciscoSullivan, MatthewAcinas, Silvia G.Martínez García, Manuel2017-06-272017-06-272017Martinez-Hernandez F, Fornas Carreño O, Lluesma Gomez M, Bolduc B, de la Cruz Peña MJ, Martínez Martínez J et al. Single-virus genomics reveals hidden cosmopolitan and abundant viruses. Nature Communications. 2017;8:15892. DOI: 10.1038/ncomms158922041-1723http://hdl.handle.net/10230/32470Microbes drive ecosystems under constraints imposed by viruses. However, a lack of virus genome information hinders our ability to answer fundamental, biological questions concerning microbial communities. Here we apply single-virus genomics (SVGs) to assess whether portions of marine viral communities are missed by current techniques. The majority of the here-identified 44 viral single-amplified genomes (vSAGs) are more abundant in global ocean virome data sets than published metagenome-assembled viral genomes or isolates. This indicates that vSAGs likely best represent the dsDNA viral populations dominating the oceans. Species-specific recruitment patterns and virome simulation data suggest that vSAGs are highly microdiverse and that microdiversity hinders the metagenomic assembly, which could explain why their genomes have not been identified before. Altogether, SVGs enable the discovery of some of the likely most abundant and ecologically relevant marine viral species, such as vSAG 37-F6, which were overlooked by other methodologies.application/pdfeng© Nature Publishing Group. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.info:eu-repo/semantics/articlehttp://dx.doi.org/10.1038/ncomms15892Genomic analysisMicrobial ecologySequencingVirologyinfo:eu-repo/semantics/openAccess