The DOI matches its Crossref record; 86 of the 86 references it cites were found in a registry or an index.
Origins and evolution of eukaryotic RNA interference
Open accessAbstract
Small interfering RNAs (siRNAs) and genome-encoded microRNAs (miRNAs) silence genes via complementary interactions with mRNAs. With thousands of miRNA genes identified and genome sequences of diverse eukaryotes available for comparison, the opportunity emerges for insights into origin and evolution of RNA interference (RNAi). The miRNA repertoires of plants and animals appear to have evolved independently. However, conservation of the key proteins involved in RNAi suggests that the last common ancestor of modern eukaryotes possessed siRNA-based mechanisms. Prokaryotes have a RNAi-like defense system that is functionally analogous but not homologous to eukaryotic RNAi. The protein machinery of eukaryotic RNAi seems to have been pieced together from ancestral proteins of archaeal, bacterial and phage origins that are involved in DNA repair and RNA-processing pathways.
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
1 retracted
RETRACTED: Secondary siRNAs Result from Unprimed RNA Synthesis and Form a Distinct Class
Sijen, T., Steiner, F. A., Thijssen, K. L., & Plasterk, R. H. A. (2007) · Science · doi:10.1126/science.1136699 · Cited by 383
RetractedBartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
MicroRNAs: small RNAs with a big role in gene regulation
He, L., & Hannon, G. J. (2004) · Nature Reviews Genetics · doi:10.1038/nrg1379 · Cited by 7,118
CRISPR Provides Acquired Resistance Against Viruses in Prokaryotes
Barrangou, R., Fremaux, C., Deveau, H., Richards, M., Boyaval, P., Moineau, S., Romero, D. A., & Horvath, P. (2007) · Science · doi:10.1126/science.1138140 · Cited by 5,947
The Transcriptional Landscape of the Mammalian Genome
Carninci, P., Kasukawa, T., Katayama, S., Gough, J., Frith, M. C., Maeda, N., Oyama, R., Ravasi, T., Lenhard, B., Wells, C., et al. (2005) · Science · doi:10.1126/science.1112014 · Cited by 3,499
Hutvágner, G., McLachlan, J., Pasquinelli, A. E., Bálint, E., Tuschl, T., & Zamore, P. D. (2001) · Science · doi:10.1126/science.1062961 · Cited by 2,781
MicroRNAs AND THEIR REGULATORY ROLES IN PLANTS
Jones-Rhoades, M. W., Bartel, D. P., & Bartel, B. (2006) · Annual Review of Plant Biology · doi:10.1146/annurev.arplant.57.032905.105218 · Cited by 2,686
Baulcombe, D. (2004) · Nature · doi:10.1038/nature02874 · Cited by 2,534
Principles of MicroRNA–Target Recognition
Brennecke, J., Stark, A., Russell, R. B., & Cohen, S. M. (2005) · PLoS Biology · doi:10.1371/journal.pbio.0030085 · Cited by 2,378
Identification of Mammalian microRNA Host Genes and Transcription Units
Rodriguez, A., Griffiths-Jones, S., Ashurst, J. L., & Bradley, A. (2004) · Genome Research · doi:10.1101/gr.2722704 · Cited by 2,128
Cited by
The HCV Life Cycle: In vitro Tissue Culture Systems and Therapeutic Targets
Gerold, G., & Pietschmann, T. (2014) · Digestive Diseases · doi:10.1159/000360830 · Cited by 4,854
Bartel, D. P. (2018) · Cell · doi:10.1016/j.cell.2018.03.006 · Cited by 3,751
Transposable Elements, Epigenetics, and Genome Evolution
Fedoroff, N. V. (2012) · Science · doi:10.1126/science.338.6108.758 · Cited by 634
Origins and evolution of CRISPR-Cas systems
Koonin, E. V., & Makarova, K. S. (2019) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2018.0087 · Cited by 494
Self-citationEpigenetic Regulation in Plants
Pikaard, C. S., & Mittelsten Scheid, O. (2014) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a019315 · Cited by 440
Metadata
- Authors
- SHABALINA, S., & KOONIN, E.
- Venue
- Trends in Ecology & Evolution
- Publisher
- Elsevier BV
- Published
- 2008-10
- Volume
- 23
- Issue
- 10
- Pages
- 578-587
- ISSN
- 0169-5347 (ISSN-L)
- OpenAlex
- W2054268736
- Cited by
- 561
- References
- 86
- FWCI
- 8.07
- Type
- journal article
- Language
- en
- Open access
- green
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: Origins and evolution of eukaryotic RNA interference. https://app.cochat.ai/papers/10.1016/j.tree.2008.06.005
- The paper
- SHABALINA, S., & KOONIN, E. (2008). Origins and evolution of eukaryotic RNA interference. Trends in Ecology & Evolution. https://doi.org/10.1016/j.tree.2008.06.005
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.
