The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.
RNA interference technology in crop protection against arthropod pests, pathogens and nematodes
Abstract
Scientists have made significant progress in understanding and unraveling several aspects of double‐stranded RNA (dsRNA)‐mediated gene silencing during the last two decades. Now that the RNA interference (RNAi) mechanism is well understood, it is time to consider how to apply the acquired knowledge to agriculture and crop protection. Some RNAi‐based products are already available for farmers and more are expected to reach the market soon. Tailor‐made dsRNA as an active ingredient for biopesticide formulations is considered a raw material that can be used for diverse purposes, from pest control and bee protection against viruses to pesticide resistance management. The RNAi mechanism works at the messenger RNA (mRNA) level, exploiting a sequence‐dependent mode of action, which makes it unique in potency and selectivity compared with conventional agrochemicals. Furthermore, the use of RNAi in crop protection can be achieved by employing plant‐incorporated protectants through plant transformation, but also by non‐transformative strategies such as the use of formulations of sprayable RNAs as direct control agents, resistance factor repressors or developmental disruptors. In this review, RNAi is presented in an agricultural context (discussing products that have been launched on the market or will soon be available), and we go beyond the classical presentation of successful examples of RNAi in pest‐insect control and comprehensively explore its potential for the control of plant pathogens, nematodes and mites, and to fight against diseases and parasites in beneficial insects. Moreover, we also discuss its use as a repressor for the management of pesticide‐resistant weeds and insects. Finally, this review reports on the advances in non‐transformative dsRNA delivery and the production costs of dsRNA, and discusses environmental considerations. © 2017 Society of Chemical Industry
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Cites
Potent and specific genetic interference by double-stranded RNA in Caenorhabditis elegans
Fire, A., Xu, S., Montgomery, M. K., Kostas, S. A., Driver, S. E., & Mello, C. C. (1998) · Nature · doi:10.1038/35888 · Cited by 15,429
Identification of common molecular subsequences
Smith, T. F., & Waterman, M. S. (1981) · Journal of Molecular Biology · doi:10.1016/0022-2836(81)90087-5 · Cited by 9,940
Origins and Mechanisms of miRNAs and siRNAs
Carthew, R. W., & Sontheimer, E. J. (2009) · Cell · doi:10.1016/j.cell.2009.01.035 · Cited by 5,018
Small silencing RNAs: an expanding universe
Ghildiyal, M., & Zamore, P. D. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2504 · Cited by 2,325
Specific interference by ingested dsRNA
Timmons, L., & Fire, A. (1998) · Nature · doi:10.1038/27579 · Cited by 1,899
Control of coleopteran insect pests through RNA interference
Baum, J. A., Bogaert, T., Clinton, W., Heck, G. R., Feldmann, P., Ilagan, O., Johnson, S., Plaetinck, G., Munyikwa, T., Pleau, M., et al. (2007) · Nature Biotechnology · doi:10.1038/nbt1359 · Cited by 1,789
Mao, Y.-B., Cai, W.-J., Wang, J.-W., Hong, G.-J., Tao, X.-Y., Wang, L.-J., Huang, Y.-P., & Chen, X.-Y. (2007) · Nature Biotechnology · doi:10.1038/nbt1352 · Cited by 1,358
RNA Interference: Biology, Mechanism, and Applications
Agrawal, N., Dasaradhi, P. V. N., Mohmmed, A., Malhotra, P., Bhatnagar, R. K., & Mukherjee, S. K. (2003) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.67.4.657-685.2003 · Cited by 1,305
Adaptive seeds tame genomic sequence comparison
Kiełbasa, S. M., Wan, R., Sato, K., Horton, P., & Frith, M. C. (2011) · Genome Research · doi:10.1101/gr.113985.110 · Cited by 1,281
Napoli, C., Lemieux, C., & Jorgensen, R. (1990) · The Plant Cell · doi:10.2307/3869076 · Cited by 1,101
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Scientists' warning on invasive alien species
Pyšek, P., Hulme, P. E., Simberloff, D., Bacher, S., Blackburn, T. M., Carlton, J. T., Dawson, W., Essl, F., Foxcroft, L. C., Genovesi, P., et al. (2020) · Biological Reviews · doi:10.1111/brv.12627 · Cited by 2,234
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
Double-Stranded RNA Technology to Control Insect Pests: Current Status and Challenges
Christiaens, O., Whyard, S., Vélez, A. M., & Smagghe, G. (2020) · Frontiers in Plant Science · doi:10.3389/fpls.2020.00451 · Cited by 339
Self-citationA Perspective on RNAi-Based Biopesticides
Fletcher, S. J., Reeves, P. T., Hoang, B. T., & Mitter, N. (2020) · Frontiers in Plant Science · doi:10.3389/fpls.2020.00051 · Cited by 300
Control of postharvest fungal diseases in fruits using external application of RNAi
de Oliveira Filho, J. G., Silva, G. D. C., Cipriano, L., Gomes, M., & Egea, M. B. (2021) · Journal of Food Science · doi:10.1111/1750-3841.15816 · Cited by 37
Metadata
- Authors
- Zotti, M., dos Santos, E. A., Cagliari, D., Christiaens, O., Taning, C. N. T., & Smagghe, G.
- Venue
- Pest Management Science
- Publisher
- Wiley
- Published
- 2018-01-16
- Volume
- 74
- Issue
- 6
- Pages
- 1239-1250
- ISSN
- 1526-498X (ISSN-L)
- 1526-4998
- OpenAlex
- W2771995180
- Cited by
- 465
- References
- 95
- FWCI
- 11.16
- Type
- journal article
- Language
- en
- Open access
- closed
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