The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Ecology and evolution of viruses infecting uncultivated SUP05 bacteria as revealed by single-cell- and meta-genomics
Open accessAbstract
Viruses modulate microbial communities and alter ecosystem functions. However, due to cultivation bottlenecks, specific virus–host interaction dynamics remain cryptic. In this study, we examined 127 single-cell amplified genomes (SAGs) from uncultivated SUP05 bacteria isolated from a model marine oxygen minimum zone (OMZ) to identify 69 viral contigs representing five new genera within dsDNA Caudovirales and ssDNA Microviridae. Infection frequencies suggest that ∼1/3 of SUP05 bacteria is viral-infected, with higher infection frequency where oxygen-deficiency was most severe. Observed Microviridae clonality suggests recovery of bloom-terminating viruses, while systematic co-infection between dsDNA and ssDNA viruses posits previously unrecognized cooperation modes. Analyses of 186 microbial and viral metagenomes revealed that SUP05 viruses persisted for years, but remained endemic to the OMZ. Finally, identification of virus-encoded dissimilatory sulfite reductase suggests SUP05 viruses reprogram their host's energy metabolism. Together, these results demonstrate closely coupled SUP05 virus–host co-evolutionary dynamics with the potential to modulate biogeochemical cycling in climate-critical and expanding OMZs.
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
ggplot2: Elegant Graphics for Data Analysis
Wickham, H. (2009) · doi:10.1007/978-0-387-98141-3 · Cited by 14,447
Accelerated Profile HMM Searches
Eddy, S. R. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002195 · Cited by 6,975
Environmental genome shotgun sequencing of the sargasso sea
Venter, J. C., Remington, K., Heidelberg, J. F., Halpern, A. L., Rusch, D., Eisen, J. A., Wu, D., Paulsen, I., Nelson, K. E., Nelson, W., et al. (2004) · Science · doi:10.1126/science.1093857 · Cited by 4,376
The Microbial Engines That Drive Earth's Biogeochemical Cycles
Falkowski, P. G., Fenchel, T., & Delong, E. F. (2008) · Science · doi:10.1126/science.1153213 · Cited by 3,379
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
Oliveira, T. F., Vonrhein, C., Matias, P. M., Venceslau, S. S., Pereira, I. A. C., & Archer, M. (2008) · Journal of Biological Chemistry · doi:10.1074/jbc.m805643200 · Cited by 190
Cited by
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
Kieft, K., Zhou, Z., & Anantharaman, K. (2020) · Microbiome · doi:10.1186/s40168-020-00867-0 · Cited by 1,123
VirSorter: mining viral signal from microbial genomic data
Roux, S., Enault, F., Hurwitz, B. L., & Sullivan, M. B. (2015) · PeerJ · doi:10.7717/peerj.985 · Cited by 1,106
Self-citationPhage 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
Lysogeny in nature: mechanisms, impact and ecology of temperate phages
Howard-Varona, C., Hargreaves, K. R., Abedon, S. T., & Sullivan, M. B. (2017) · The ISME Journal · doi:10.1038/ismej.2017.16 · Cited by 894
Self-citation
Metadata
- Authors
- Roux, S., Hawley, A. K., Torres Beltran, M., Scofield, M., Schwientek, P., Stepanauskas, R., Woyke, T., Hallam, S. J., & Sullivan, M. B.
- Venue
- eLife
- Publisher
- eLife Sciences Publications, Ltd
- Published
- 2014-08-29
- Volume
- 3
- Pages
- e03125-e03125
- ISSN
- 2050-084X (ISSN-L)
- OpenAlex
- W2124892349
- Cited by
- 223
- References
- 6
- FWCI
- 20.14
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Ecology and evolution of viruses infecting uncultivated SUP05 bacteria as revealed by single-cell- and meta-genomics. https://app.cochat.ai/papers/10.7554/elife.03125
- The paper
- Roux, S., Hawley, A. K., Torres Beltran, M., Scofield, M., Schwientek, P., Stepanauskas, R., Woyke, T., Hallam, S. J., & Sullivan, M. B. (2014). Ecology and evolution of viruses infecting uncultivated SUP05 bacteria as revealed by single-cell- and meta-genomics. eLife. https://doi.org/10.7554/elife.03125
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.