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Cited by 300

The DOI matches its Crossref record; 108 of the 108 references it cites were found in a registry or an index.

MICROBIAL ELICITORS AND THEIR RECEPTORS IN PLANTS

Hahn, Michael G.·1996·Annual Review of Phytopathology

Abstract

▪ Abstract Elicitors are molecules that stimulate any of a number of defense responses in plants. Research over the past decade has focused on the mechanisms by which plant cells perceive and transduce these biological signals to activate defense responses. Of particular interest has been the identification of specific elicitor-binding proteins that might function as physiological receptors in the signal transduction cascade. The existence of specific high-affinity binding sites has been demonstrated for oligosaccharide, glycopeptide, and peptide elicitors, and candidate elicitor-binding proteins have been identified for several of them. The properties of these binding sites/proteins are consistent with those expected of physiologically important receptors, although experimental verification of the role of these binding proteins as receptors has not yet been obtained. The purification and characterization of specific elicitor-binding proteins is essential for a detailed understanding of the molecular basis for the signal exchange between plant hosts and microbial pathogens that leads to activation of host defenses.

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Crossref · 10.1146/annurev.phyto.34.1.387

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Metadata

Authors
Hahn, M. G.
Venue
Annual Review of Phytopathology
Published
1996-09
Volume
34
Issue
1
Pages
387-412
ISSN
  • 0066-4286 (ISSN-L)
  • 1545-2107
OpenAlex
W2148425762
Cited by
300
References
108
FWCI
1.82
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: MICROBIAL ELICITORS AND THEIR RECEPTORS IN PLANTS. https://app.cochat.ai/papers/10.1146/annurev.phyto.34.1.387
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Hahn, M. G. (1996). MICROBIAL ELICITORS AND THEIR RECEPTORS IN PLANTS. Annual Review of Phytopathology. https://doi.org/10.1146/annurev.phyto.34.1.387

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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.