The DOI matches its Crossref record; 271 of the 271 references it cites were found in a registry or an index.
Disease Resistance Mechanisms in Plants
Open accessAbstract
Plants have developed a complex defense system against diverse pests and pathogens. Once pathogens overcome mechanical barriers to infection, plant receptors initiate signaling pathways driving the expression of defense response genes. Plant immune systems rely on their ability to recognize enemy molecules, carry out signal transduction, and respond defensively through pathways involving many genes and their products. Pathogens actively attempt to evade and interfere with response pathways, selecting for a decentralized, multicomponent immune system. Recent advances in molecular techniques have greatly expanded our understanding of plant immunity, largely driven by potential application to agricultural systems. Here, we review the major plant immune system components, state of the art knowledge, and future direction of research on plant–pathogen interactions. In our review, we will discuss how the decentralization of plant immune systems have provided both increased evolutionary opportunity for pathogen resistance, as well as additional mechanisms for pathogen inhibition of such defense responses. We conclude that the rapid advances in bioinformatics and molecular biology are driving an explosion of information that will advance agricultural production and illustrate how complex molecular interactions evolve.
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Cites
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Cited by
Salam, U., Ullah, S., Tang, Z.-H., Elateeq, A. A., Khan, Y., Khan, J., Khan, A., & Ali, S. (2023) · Life · doi:10.3390/life13030706 · Cited by 480
Self-citationMechanisms of Plasma-Seed Treatments as a Potential Seed Processing Technology
Waskow, A., Howling, A., & Furno, I. (2021) · Frontiers in Physics · doi:10.3389/fphy.2021.617345 · Cited by 172
Metadata
- Authors
- Andersen, E. J., Ali, S., Byamukama, E., Yen, Y., & Nepal, M. P.
- Venue
- Genes
- Publisher
- MDPI AG
- Published
- 2018-07-04
- Volume
- 9
- Issue
- 7
- Pages
- 339
- ISSN
- 2073-4425 (ISSN-L)
- OpenAlex
- W2809890412
- Cited by
- 434
- References
- 271
- FWCI
- 27.92
- Type
- journal article
- Language
- en
- Open access
- gold
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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.