The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
The Discovery, Distribution, and Evolution of Viruses Associated with Drosophila melanogaster
Open accessAbstract
Drosophila melanogaster is a valuable invertebrate model for viral infection and antiviral immunity, and is a focus for studies of insect-virus coevolution. Here we use a metagenomic approach to identify more than 20 previously undetected RNA viruses and a DNA virus associated with wild D. melanogaster. These viruses not only include distant relatives of known insect pathogens but also novel groups of insect-infecting viruses. By sequencing virus-derived small RNAs, we show that the viruses represent active infections of Drosophila. We find that the RNA viruses differ in the number and properties of their small RNAs, and we detect both siRNAs and a novel miRNA from the DNA virus. Analysis of small RNAs also allows us to identify putative viral sequences that lack detectable sequence similarity to known viruses. By surveying >2,000 individually collected wild adult Drosophila we show that more than 30% of D. melanogaster carry a detectable virus, and more than 6% carry multiple viruses. However, despite a high prevalence of the Wolbachia endosymbiont--which is known to be protective against virus infections in Drosophila--we were unable to detect any relationship between the presence of Wolbachia and the presence of any virus. Using publicly available RNA-seq datasets, we show that the community of viruses in Drosophila laboratories is very different from that seen in the wild, but that some of the newly discovered viruses are nevertheless widespread in laboratory lines and are ubiquitous in cell culture. By sequencing viruses from individual wild-collected flies we show that some viruses are shared between D. melanogaster and D. simulans. Our results provide an essential evolutionary and ecological context for host-virus interaction in Drosophila, and the newly reported viral sequences will help develop D. melanogaster further as a model for molecular and evolutionary virus research.
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
BLAST+: architecture and applications
Camacho, C., Coulouris, G., Avagyan, V., Ma, N., Papadopoulos, J., Bealer, K., & Madden, T. L. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-421 · Cited by 22,074
The Piwi-piRNA Pathway Provides an Adaptive Defense in the Transposon Arms Race
Aravin, A. A., Hannon, G. J., & Brennecke, J. (2007) · Science · doi:10.1126/science.1146484 · Cited by 1,096
The Population Genetics of dN/dS
Kryazhimskiy, S., & Plotkin, J. B. (2008) · PLoS Genetics · doi:10.1371/journal.pgen.1000304 · Cited by 962 · cited 1×
“Nevertheless, within-species sampling may be unlikely to detect species-wide selective pressure [98] and the disparity in evolutionary timescales of host and virus may mean that even strong reciprocal arms races are not reflected in elevated viral dN/dS ratios (i.”
BackgroundEndogenous siRNAs Derived from Transposons and mRNAs in Drosophila Somatic Cells
Ghildiyal, M., Seitz, H., Horwich, M. D., Li, C., Du, T., Lee, S., Xu, J., Kittler, E. L. W., Zapp, M. L., Weng, Z., et al. (2008) · Science · doi:10.1126/science.1157396 · Cited by 645
Target RNA–Directed Trimming and Tailing of Small Silencing RNAs
Ameres, S. L., Horwich, M. D., Hung, J.-H., Xu, J., Ghildiyal, M., Weng, Z., & Zamore, P. D. (2010) · Science · doi:10.1126/science.1187058 · Cited by 628
Cited by
Redefining the invertebrate RNA virosphere
Shi, M., Lin, X.-D., Tian, J.-H., Chen, L.-J., Chen, X., Li, C.-X., Qin, X.-C., Li, J., Cao, J.-P., Eden, J.-S., et al. (2016) · Nature · doi:10.1038/nature20167 · Cited by 1,640
Using Metagenomics to Characterize an Expanding Virosphere
Zhang, Y.-Z., Shi, M., & Holmes, E. C. (2018) · Cell · doi:10.1016/j.cell.2018.02.043 · Cited by 359
Predicting virus emergence amid evolutionary noise
Geoghegan, J. L., & Holmes, E. C. (2017) · Open Biology · doi:10.1098/rsob.170189 · Cited by 209
Metadata
- Authors
- Webster, C. L., Waldron, F. M., Robertson, S., Crowson, D., Ferrari, G., Quintana, J. F., Brouqui, J.-M., Bayne, E. H., Longdon, B., Buck, A. H., Lazzaro, B. P., Akorli, J., Haddrill, P. R., & Obbard, D. J.
- Venue
- PLOS Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2015-07-14
- Volume
- 13
- Issue
- 7
- Pages
- e1002210
- ISSN
- 1544-9173 (ISSN-L)
- 1545-7885
- OpenAlex
- W1589531606
- Cited by
- 329
- References
- 5
- FWCI
- 37.09
- 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.