The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Molecular Genetics of Plant Disease Resistance
Abstract
Plant breeders have used disease resistance genes ( R genes) to control plant disease since the turn of the century. Molecular cloning of R genes that enable plants to resist a diverse range of pathogens has revealed that the proteins encoded by these genes have several features in common. These findings suggest that plants may have evolved common signal transduction mechanisms for the expression of resistance to a wide range of unrelated pathogens. Characterization of the molecular signals involved in pathogen recognition and of the molecular events that specify the expression of resistance may lead to novel strategies for plant disease control.
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Cites
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Cited by
Death Don't Have No Mercy: Cell Death Programs in Plant-Microbe Interactions.
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A CONSERVED SIGNALING PATHWAY: The Drosophila Toll-Dorsal Pathway
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Nod1, an Apaf-1-like Activator of Caspase-9 and Nuclear Factor-κB
Inohara, N., Koseki, T., del Peso, L., Hu, Y., Yee, C., Chen, S., Carrio, R., Merino, J., Liu, D., Ni, J., et al. (1999) · Journal of Biological Chemistry · doi:10.1074/jbc.274.21.14560 · Cited by 742
The Ethylene Signal Transduction Pathway in Plants
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Self-citation
Metadata
- Authors
- Staskawicz, B. J., Ausubel, F. M., Baker, B. J., Ellis, J. G., & Jones, J. D. G.
- Venue
- Science
- Published
- 1995-05-05
- Volume
- 268
- Issue
- 5211
- Pages
- 661-667
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W1974855449
- Cited by
- 914
- References
- 51
- FWCI
- 136.77
- Type
- journal article
- Language
- en
- Open access
- closed
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- Staskawicz, B. J., Ausubel, F. M., Baker, B. J., Ellis, J. G., & Jones, J. D. G. (1995). Molecular Genetics of Plant Disease Resistance. Science. https://doi.org/10.1126/science.7732374
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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.