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Common and contrasting themes in host cell-targeted effectors from bacterial, fungal, oomycete and nematode plant symbionts described using the Gene Ontology

Overview of attention for article published in BMC Microbiology, February 2009
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Title
Common and contrasting themes in host cell-targeted effectors from bacterial, fungal, oomycete and nematode plant symbionts described using the Gene Ontology
Published in
BMC Microbiology, February 2009
DOI 10.1186/1471-2180-9-s1-s3
Pubmed ID
Authors

Trudy Torto-Alalibo, Candace W Collmer, Magdalen Lindeberg, David Bird, Alan Collmer, Brett M Tyler

Abstract

A wide diversity of plant-associated symbionts, including microbes, produce proteins that can enter host cells, or are injected into host cells in order to modify the physiology of the host to promote colonization. These molecules, termed effectors, commonly target the host defense signaling pathways in order to suppress the defense response. Others target the gene expression machinery or trigger specific modifications to host morphology or physiology that promote the nutrition and proliferation of the symbiont. When recognized by the host's surveillance machinery, which includes cognate resistance (R) gene products, defense responses are engaged to restrict pathogen proliferation. Effectors from diverse symbionts may be delivered into plant cells via varied mechanisms, including whole organism cellular entry (viruses, some bacteria and fungi), type III and IV secretion (in bacteria), physical injection (nematodes and insects) and protein translocation signal sequences (oomycetes and fungi). This mini-review will summarize both similarities and differences in effectors and effector delivery systems found in diverse plant-associated symbionts as well as how these are described with Plant-Associated Microbe Gene Ontology (PAMGO) terms.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 171 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
New Zealand 2 1%
Brazil 2 1%
Australia 1 <1%
France 1 <1%
Portugal 1 <1%
Uganda 1 <1%
Canada 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 156 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 26%
Researcher 36 21%
Student > Master 24 14%
Professor > Associate Professor 11 6%
Student > Doctoral Student 10 6%
Other 28 16%
Unknown 18 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 128 75%
Biochemistry, Genetics and Molecular Biology 14 8%
Computer Science 2 1%
Immunology and Microbiology 1 <1%
Psychology 1 <1%
Other 4 2%
Unknown 21 12%