The DOI matches its Crossref record; 125 of the 125 references it cites were found in a registry or an index.
RNA Interference Mechanisms and Applications in Plant Pathology
Abstract
The origin of RNA interference (RNAi), the cell sentinel system widely shared among eukaryotes that recognizes RNAs and specifically degrades or prevents their translation in cells, is suggested to predate the last eukaryote common ancestor ( 138 ). Of particular relevance to plant pathology is that in plants, but also in some fungi, insects, and lower eukaryotes, RNAi is a primary and effective antiviral defense, and recent studies have revealed that small RNAs (sRNAs) involved in RNAi play important roles in other plant diseases, including those caused by cellular plant pathogens. Because of this, and because RNAi can be manipulated to interfere with the expression of endogenous genes in an intra- or interspecific manner, RNAi has been used as a tool in studies of gene function but also for plant protection. Here, we review the discovery of RNAi, canonical mechanisms, experimental and translational applications, and new RNA-based technologies of importance to plant pathology.
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Cites
The new frontier of genome engineering with CRISPR-Cas9
Doudna, J. A., & Charpentier, E. (2014) · Science · doi:10.1126/science.1258096 · Cited by 7,062
microRNA-Directed Phasing during Trans-Acting siRNA Biogenesis in Plants
Allen, E., Xie, Z., Gustafson, A. M., & Carrington, J. C. (2005) · Cell · doi:10.1016/j.cell.2005.04.004 · Cited by 2,268
A Plant miRNA Contributes to Antibacterial Resistance by Repressing Auxin Signaling
Navarro, L., Dunoyer, P., Jay, F., Arnold, B., Dharmasiri, N., Estelle, M., Voinnet, O., & Jones, J. D. G. (2006) · Science · doi:10.1126/science.1126088 · Cited by 1,971
Genetic and Functional Diversification of Small RNA Pathways in Plants
Xie, Z., Johansen, L. K., Gustafson, A. M., Kasschau, K. D., Lellis, A. D., Zilberman, D., Jacobsen, S. E., & Carrington, J. C. (2004) · PLoS Biology · doi:10.1371/journal.pbio.0020104 · Cited by 1,584
Genome-wide RNAi screening in Caenorhabditis elegans
Kamath, R. (2003) · Methods · doi:10.1016/s1046-2023(03)00050-1 · Cited by 1,559
Crystal Structure of Argonaute and Its Implications for RISC Slicer Activity
Song, J.-J., Smith, S. K., Hannon, G. J., & Joshua-Tor, L. (2004) · Science · doi:10.1126/science.1102514 · Cited by 1,470
Morris, K. V., & Mattick, J. S. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3722 · Cited by 1,371
Abel, P. P., Nelson, R. S., De, B., Hoffmann, N., Rogers, S. G., Fraley, R. T., & Beachy, R. N. (1986) · Science · doi:10.1126/science.3457472 · Cited by 1,321
Waterhouse, P. M., Graham, M. W., & Wang, M.-B. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.23.13959 · Cited by 1,137
Clay nanosheets for topical delivery of RNAi for sustained protection against plant viruses
Mitter, N., Worrall, E. A., Robinson, K. E., Li, P., Jain, R. G., Taochy, C., Fletcher, S. J., Carroll, B. J., Lu, G. Q., & Xu, Z. P. (2017) · Nature Plants · doi:10.1038/nplants.2016.207 · Cited by 1,061
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Mechanisms, Applications, and Challenges of Insect RNA Interference
Zhu, K. Y., & Palli, S. R. (2020) · Annual Review of Entomology · doi:10.1146/annurev-ento-011019-025224 · Cited by 709
An Overview of Some Biopesticides and Their Importance in Plant Protection for Commercial Acceptance
Kumar, J., Ramlal, A., Mallick, D., & Mishra, V. (2021) · Plants · doi:10.3390/plants10061185 · Cited by 474
Global Dimensions of Plant Virus Diseases: Current Status and Future Perspectives
Jones, R. A. C., & Naidu, R. A. (2019) · Annual Review of Virology · doi:10.1146/annurev-virology-092818-015606 · Cited by 375
Song, Y., Li, J., & Wu, Y. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01952-8 · Cited by 259
Metadata
- Authors
- Rosa, C., Kuo, Y.-W., Wuriyanghan, H., & Falk, B. W.
- Venue
- Annual Review of Phytopathology
- Publisher
- Annual Reviews
- Published
- 2018-08-25
- Volume
- 56
- Issue
- 1
- Pages
- 581-610
- ISSN
- 0066-4286 (ISSN-L)
- 1545-2107
- OpenAlex
- W2822360545
- Cited by
- 264
- References
- 125
- FWCI
- 3.45
- Type
- journal article
- Language
- en
- Open access
- closed
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- Rosa, C., Kuo, Y.-W., Wuriyanghan, H., & Falk, B. W. (2018). RNA Interference Mechanisms and Applications in Plant Pathology. Annual Review of Phytopathology. https://doi.org/10.1146/annurev-phyto-080417-050044
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