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Cited by 317

The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.

Genome-wide functional analysis reveals that infection-associated fungal autophagy is necessary for rice blast disease

Open access
Kershaw, Michael J., Talbot, Nicholas J.·2009·Proceedings of the National Academy of Sciences

Abstract

To cause rice blast disease, the fungus Magnaporthe oryzae elaborates specialized infection structures called appressoria, which use enormous turgor to rupture the tough outer cuticle of a rice leaf. Here, we report the generation of a set of 22 isogenic M. oryzae mutants each differing by a single component of the predicted autophagic machinery of the fungus. Analysis of this set of targeted deletion mutants demonstrated that loss of any of the 16 genes necessary for nonselective macroautophagy renders the fungus unable to cause rice blast disease, due to impairment of both conidial programmed cell death and appressorium maturation. In contrast, genes necessary only for selective forms of autophagy, such as pexophagy and mitophagy, are dispensable for appressorium-mediated plant infection. A genome-wide analysis therefore demonstrates the importance of infection-associated, nonselective autophagy for the establishment of rice blast disease.

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Metadata

Authors
Kershaw, M. J., & Talbot, N. J.
Venue
Proceedings of the National Academy of Sciences
Published
2009-09-15
Volume
106
Issue
37
Pages
15967-15972
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2138585051
Cited by
317
References
48
FWCI
8.43
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Genome-wide functional analysis reveals that infection-associated fungal autophagy is necessary for rice blast disease. https://app.cochat.ai/papers/10.1073/pnas.0901477106
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Kershaw, M. J., & Talbot, N. J. (2009). Genome-wide functional analysis reveals that infection-associated fungal autophagy is necessary for rice blast disease. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0901477106

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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.