a bioinformatic strategy for the detection, classification and analysis of bacterial autotransporters生物信息学策略检测、分类和分析,细菌autotransporters.pdf

A Bioinformatic Strategy for the Detection, Classification and Analysis of Bacterial Autotransporters 1 1 1,2 3 1 1,2 Nermin Celik , Chaille T. Webb , Denisse L. Leyton , Kathryn E. Holt , Eva Heinz , Rebecca Gorrell , 1,2 1 3 4 5 Terry Kwok , Thomas Naderer , Richard A. Strugnell , Terence P. Speed , Rohan D. Teasdale *, ´6 1 Vladimir A. Likic *, Trevor Lithgow * 1 Department of Biochemistry and Molecular Biology, Monash University, Clayton, Australia, 2 Department of Microbiology, Monash University, Clayton, Australia, 3 Department of Microbiology and Immunology, The University of Melbourne, Parkville, Australia, 4 Bioinformatics Division, Walter and Eliza Hall Institute, Parkville, Australia, 5 Institute for Molecular Bioscience, The University of Queensland, St. Lucia, Australia, 6 The Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Parkville, Australia 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 diver