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Cited by 899

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Fungal Effector Proteins

Open access
Stergiopoulos, Ioannis, de Wit, Pierre J.G.M.·2009·Annual Review of Phytopathology

Abstract

It is accepted that most fungal avirulence genes encode virulence factors that are called effectors. Most fungal effectors are secreted, cysteine-rich proteins, and a role in virulence has been shown for a few of them, including Avr2 and Avr4 of Cladosporium fulvum, which inhibit plant cysteine proteases and protect chitin in fungal cell walls against plant chitinases, respectively. In resistant plants, effectors are directly or indirectly recognized by cognate resistance proteins that reside either inside the plant cell or on plasma membranes. Several secreted effectors function inside the host cell, but the uptake mechanism is not yet known. Variation observed among fungal effectors shows two types of selection that appear to relate to whether they interact directly or indirectly with their cognate resistance proteins. Direct interactions seem to favor point mutations in effector genes, leading to amino acid substitutions, whereas indirect interactions seem to favor jettison of effector genes.

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Crossref · 10.1146/annurev.phyto.112408.132637

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Metadata

Authors
Stergiopoulos, I., & de Wit, P. J. G. M.
Venue
Annual Review of Phytopathology
Published
2009-09-01
Volume
47
Issue
1
Pages
233-263
ISSN
  • 0066-4286 (ISSN-L)
  • 1545-2107
OpenAlex
W2105909024
Cited by
899
References
3
FWCI
3.94
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Fungal Effector Proteins. https://app.cochat.ai/papers/10.1146/annurev.phyto.112408.132637
The paper
Stergiopoulos, I., & de Wit, P. J. G. M. (2009). Fungal Effector Proteins. Annual Review of Phytopathology. https://doi.org/10.1146/annurev.phyto.112408.132637

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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.