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A Bioinformatic Strategy for the Detection, Classification and Analysis of Bacterial Autotransporters

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...

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Autores principales: Celik, Nermin, Webb, Chaille T., Leyton, Denisse L., Holt, Kathryn E., Heinz, Eva, Gorrell, Rebecca, Kwok, Terry, Naderer, Thomas, Strugnell, Richard A., Speed, Terence P., Teasdale, Rohan D., Likić, Vladimir A., Lithgow, Trevor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3419190/
https://www.ncbi.nlm.nih.gov/pubmed/22905239
http://dx.doi.org/10.1371/journal.pone.0043245
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author Celik, Nermin
Webb, Chaille T.
Leyton, Denisse L.
Holt, Kathryn E.
Heinz, Eva
Gorrell, Rebecca
Kwok, Terry
Naderer, Thomas
Strugnell, Richard A.
Speed, Terence P.
Teasdale, Rohan D.
Likić, Vladimir A.
Lithgow, Trevor
author_facet Celik, Nermin
Webb, Chaille T.
Leyton, Denisse L.
Holt, Kathryn E.
Heinz, Eva
Gorrell, Rebecca
Kwok, Terry
Naderer, Thomas
Strugnell, Richard A.
Speed, Terence P.
Teasdale, Rohan D.
Likić, Vladimir A.
Lithgow, Trevor
author_sort Celik, Nermin
collection PubMed
description 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.
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spelling pubmed-34191902012-08-19 A Bioinformatic Strategy for the Detection, Classification and Analysis of Bacterial Autotransporters Celik, Nermin Webb, Chaille T. Leyton, Denisse L. Holt, Kathryn E. Heinz, Eva Gorrell, Rebecca Kwok, Terry Naderer, Thomas Strugnell, Richard A. Speed, Terence P. Teasdale, Rohan D. Likić, Vladimir A. Lithgow, Trevor PLoS One Research Article 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. Public Library of Science 2012-08-14 /pmc/articles/PMC3419190/ /pubmed/22905239 http://dx.doi.org/10.1371/journal.pone.0043245 Text en © 2012 Celik et al http://creativecommons.org/licenses/by/4.0/ 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 properly credited.
spellingShingle Research Article
Celik, Nermin
Webb, Chaille T.
Leyton, Denisse L.
Holt, Kathryn E.
Heinz, Eva
Gorrell, Rebecca
Kwok, Terry
Naderer, Thomas
Strugnell, Richard A.
Speed, Terence P.
Teasdale, Rohan D.
Likić, Vladimir A.
Lithgow, Trevor
A Bioinformatic Strategy for the Detection, Classification and Analysis of Bacterial Autotransporters
title A Bioinformatic Strategy for the Detection, Classification and Analysis of Bacterial Autotransporters
title_full A Bioinformatic Strategy for the Detection, Classification and Analysis of Bacterial Autotransporters
title_fullStr A Bioinformatic Strategy for the Detection, Classification and Analysis of Bacterial Autotransporters
title_full_unstemmed A Bioinformatic Strategy for the Detection, Classification and Analysis of Bacterial Autotransporters
title_short A Bioinformatic Strategy for the Detection, Classification and Analysis of Bacterial Autotransporters
title_sort bioinformatic strategy for the detection, classification and analysis of bacterial autotransporters
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3419190/
https://www.ncbi.nlm.nih.gov/pubmed/22905239
http://dx.doi.org/10.1371/journal.pone.0043245
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