The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Single-virus genomics reveals hidden cosmopolitan and abundant viruses
Open accessAbstract
Microbes 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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888
Mauve: Multiple alignment of conserved genomic sequence with rearrangements
Darling, A. C. E., Mau, B., Blattner, F. R., & Perna, N. T. (2004) · Genome Research · doi:10.1101/gr.2289704 · Cited by 4,949
Single-cell genome sequencing: current state of the science
Gawad, C., Koh, W., & Quake, S. R. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2015.16 · Cited by 1,334
The human gut virome: inter-individual variation and dynamic response to diet
Minot, S., Sinha, R., Chen, J., Li, H., Keilbaugh, S. A., Wu, G. D., Lewis, J. D., & Bushman, F. D. (2011) · Genome Research · doi:10.1101/gr.122705.111 · Cited by 935
Explaining Microbial Population Genomics through Phage Predation
Rodriguez-Valera, F., Martin-Cuadrado, A.-B., Rodriguez-Brito, B., Pašić, L., Thingstad, T. F., Rohwer, F., & Mira, A. (2009) · Nature Reviews Microbiology · doi:10.1038/nrmicro2235 · Cited by 663
Cited by
Phage diversity, genomics and phylogeny
Dion, M. B., Oechslin, F., & Moineau, S. (2020) · Nature Reviews Microbiology · doi:10.1038/s41579-019-0311-5 · Cited by 960
Marine DNA Viral Macro- and Microdiversity from Pole to Pole
Gregory, A. C., Zayed, A. A., Conceição-Neto, N., Temperton, B., Bolduc, B., Alberti, A., Ardyna, M., Arkhipova, K., Carmichael, M., Cruaud, C., et al. (2019) · Cell · doi:10.1016/j.cell.2019.03.040 · Cited by 826
Self-citationBacteriophages of the Human Gut: The “Known Unknown” of the Microbiome
Shkoporov, A. N., & Hill, C. (2019) · Cell Host & Microbe · doi:10.1016/j.chom.2019.01.017 · Cited by 767
Minimum Information about an Uncultivated Virus Genome (MIUViG)
Roux, S., Adriaenssens, E. M., Dutilh, B. E., Koonin, E. V., Kropinski, A. M., Krupovic, M., Kuhn, J. H., Lavigne, R., Brister, J. R., Varsani, A., et al. (2019) · Nature Biotechnology · doi:10.1038/nbt.4306 · Cited by 732
Self-citationTara Oceans: towards global ocean ecosystems biology
Sunagawa, S., Acinas, S. G., Bork, P., Bowler, C., Coordinators, T. O., Acinas, S. G., Babin, M., Bork, P., Boss, E., Bowler, C., et al. (2020) · Nature Reviews Microbiology · doi:10.1038/s41579-020-0364-5 · Cited by 490
Self-citation
Metadata
- Authors
- Martinez-Hernandez, F., Fornas, O., Lluesma Gomez, M., Bolduc, B., de la Cruz Peña, M. J., Martínez, J. M., Anton, J., Gasol, J. M., Rosselli, R., Rodriguez-Valera, F., Sullivan, M. B., Acinas, S. G., & Martinez-Garcia, M.
- Venue
- Nature Communications
- Published
- 2017-06-23
- Volume
- 8
- Issue
- 1
- Pages
- 15892-15892
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2638784546
- Cited by
- 208
- References
- 5
- FWCI
- 14.63
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.