A bioinformatic strategy for the detection, classification and analysis of bacterial autotransporters

Celik, Nermin, Webb. Chaukke T., Leyton, Denusse L., Holt, Kathryn E., Heinz, Eva, Gorrell, Rebecca, Kwok, Terry, Naderer, Thomas, Strugnell, Richard A., Speed, Terence P., Teasdale, Rohan D., Likic, Valdimir A. and Lithgow, Trevor (2012) A bioinformatic strategy for the detection, classification and analysis of bacterial autotransporters. PLoS One, 7 8 Article. No. 43245: e43245-1-e43245-15.


Author Celik, Nermin
Webb. Chaukke T.
Leyton, Denusse L.
Holt, Kathryn E.
Heinz, Eva
Gorrell, Rebecca
Kwok, Terry
Naderer, Thomas
Strugnell, Richard A.
Speed, Terence P.
Teasdale, Rohan D.
Likic, Valdimir A.
Lithgow, Trevor
Title A bioinformatic strategy for the detection, classification and analysis of bacterial autotransporters
Journal name PLoS One   Check publisher's open access policy
ISSN 1932-6203
Publication date 2012-08-14
Sub-type Article (original research)
DOI 10.1371/journal.pone.0043245
Volume 7
Issue 8 Article. No. 43245
Start page e43245-1
End page e43245-15
Total pages 15
Place of publication San Francisco, CA United States
Publisher Public Library of Science
Collection year 2012
Language eng
Formatted abstract Autotransporters are secreted proteins that are assembled into the outer membrane of bacterial cells. The passenger domains of autotransporters are crucial for bacterial pathogenesis, with some remaining attached to the bacterial surface while others are released by proteolysis. An enigma remains as to whether autotransporters should be considered a class of secretion system, or simply a class of substrate with peculiar requirements for their secretion. We sought to establish a sensitive search protocol that could identify and characterize diverse autotransporters from bacterial genome sequence data. The new sequence analysis pipeline identified more than 1500 autotransporter sequences from diverse bacteria, including numerous species of Chlamydiales and Fusobacteria as well as all classes of Proteobacteria. Interrogation of the proteins revealed that there are numerous classes of passenger domains beyond the known proteases, adhesins and esterases. In addition the barrel-domain-a characteristic feature of autotransporters-was found to be composed from seven conserved sequence segments that can be arranged in multiple ways in the tertiary structure of the assembled autotransporter. One of these conserved motifs overlays the targeting information required for autotransporters to reach the outer membrane. Another conserved and diagnostic motif maps to the linker region between the passenger domain and barrel-domain, indicating it as an important feature in the assembly of autotransporters.
Keyword Autotransporters
Bacterial Pathogenesis
Proteins
Open Access Mandate Compliance Yes - Open Access (Publisher DOI)
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2013 Collection
Institute for Molecular Bioscience - Publications
 
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Created: Fri, 24 Aug 2012, 15:13:43 EST by Susan Allen on behalf of Institute for Molecular Bioscience