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This article is part of the supplement: The PAMGO Consortium: Unifying Themes In Microbe–Host Associations Identified Through The Gene Ontology

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Protein secretion systems in bacterial-host associations, and their description in the Gene Ontology

Tsai-Tien Tseng12, Brett M Tyler13 and João C Setubal14*

Author affiliations

1 Virginia Bioinformatics Institute, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA

2 School of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA

3 Department of Plant Pathology, Physiology and Weed Science, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA

4 Department of Computer Science, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA

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Citation and License

BMC Microbiology 2009, 9(Suppl 1):S2  doi:10.1186/1471-2180-9-S1-S2

Published: 19 February 2009

Abstract

Protein secretion plays a central role in modulating the interactions of bacteria with their environments. This is particularly the case when symbiotic bacteria (whether pathogenic, commensal or mutualistic) are interacting with larger host organisms. In the case of Gram-negative bacteria, secretion requires translocation across the outer as well as the inner membrane, and a diversity of molecular machines have been elaborated for this purpose. A number of secreted proteins are destined to enter the host cell (effectors and toxins), and thus several secretion systems include apparatus to translocate proteins across the plasma membrane of the host also. The Plant-Associated Microbe Gene Ontology (PAMGO) Consortium has been developing standardized terms for describing biological processes and cellular components that play important roles in the interactions of microbes with plant and animal hosts, including the processes of bacterial secretion. Here we survey bacterial secretion systems known to modulate interactions with host organisms and describe Gene Ontology terms useful for describing the components and functions of these systems, and for capturing the similarities among the diverse systems.