A Bioinformatic Strategy for the Detection, Classification and Analysis of Bacterial Autotransporters
Details
Publication Year 2012-08-14, Volume 7, Issue #8, Page -
Journal Title
PLOS ONE
Publication Type
Journal Article
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.
Publisher
PUBLIC LIBRARY SCIENCE
Keywords
PROTEIN SECRETION SYSTEMS; GRAM-NEGATIVE PATHOGENS; ESCHERICHIA-COLI; OUTER-MEMBRANE; SERINE-PROTEASE; CRYSTAL-STRUCTURE; PASSENGER DOMAIN; CITROBACTER-RODENTIUM; INTERACTIVE TREE; COMMON THEMES
WEHI Research Division(s)
Bioinformatics
Rights Notice
Copyright: © Celik et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


Creation Date: 2012-08-14 12:00:00
Last Modified: 0001-01-01 12:00:00
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