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Cited by 517

The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.

Induced Systemic Resistance by Fluorescent Pseudomonas spp.

Open access
Bakker, Peter A. H. M., Pieterse, Corné M. J., van Loon, L. C.·2007·Phytopathology®

Abstract

Fluorescent Pseudomonas spp. have been studied for decades for their plant growth-promoting effects through effective suppression of soilborne plant diseases. The modes of action that play a role in disease suppression by these bacteria include siderophore-mediated competition for iron, antibiosis, production of lytic enzymes, and induced systemic resistance (ISR). The involvement of ISR is typically studied in systems in which the Pseudomonas bacteria and the pathogen are inoculated and remain spatially separated on the plant, e.g., the bacteria on the root and the pathogen on the leaf, or by use of split root systems. Since no direct interactions are possible between the two populations, suppression of disease development has to be plant-mediated. In this review, bacterial traits involved in Pseudomonas-mediated ISR will be discussed.

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Crossref · 10.1094/phyto-97-2-0239

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Metadata

Authors
Bakker, P. A. H. M., Pieterse, C. M. J., & van Loon, L. C.
Venue
Phytopathology®
Published
2007-02
Volume
97
Issue
2
Pages
239-243
ISSN
  • 0031-949X (ISSN-L)
  • 1943-7684
OpenAlex
W2167487768
Cited by
517
References
47
FWCI
25.80
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Induced Systemic Resistance by Fluorescent Pseudomonas spp. https://app.cochat.ai/papers/10.1094/phyto-97-2-0239
The paper
Bakker, P. A. H. M., Pieterse, C. M. J., & van Loon, L. C. (2007). Induced Systemic Resistance by Fluorescent Pseudomonas spp. Phytopathology®. https://doi.org/10.1094/phyto-97-2-0239

Data sources

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.