Cargando…
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...
Autores principales: | , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1782240699487354880 |
---|---|
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. |
format | Online Article Text |
id | pubmed-3419190 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT celiknermin abioinformaticstrategyforthedetectionclassificationandanalysisofbacterialautotransporters AT webbchaillet abioinformaticstrategyforthedetectionclassificationandanalysisofbacterialautotransporters AT leytondenissel abioinformaticstrategyforthedetectionclassificationandanalysisofbacterialautotransporters AT holtkathryne abioinformaticstrategyforthedetectionclassificationandanalysisofbacterialautotransporters AT heinzeva abioinformaticstrategyforthedetectionclassificationandanalysisofbacterialautotransporters AT gorrellrebecca abioinformaticstrategyforthedetectionclassificationandanalysisofbacterialautotransporters AT kwokterry abioinformaticstrategyforthedetectionclassificationandanalysisofbacterialautotransporters AT nadererthomas abioinformaticstrategyforthedetectionclassificationandanalysisofbacterialautotransporters AT strugnellricharda abioinformaticstrategyforthedetectionclassificationandanalysisofbacterialautotransporters AT speedterencep abioinformaticstrategyforthedetectionclassificationandanalysisofbacterialautotransporters AT teasdalerohand abioinformaticstrategyforthedetectionclassificationandanalysisofbacterialautotransporters AT likicvladimira abioinformaticstrategyforthedetectionclassificationandanalysisofbacterialautotransporters AT lithgowtrevor abioinformaticstrategyforthedetectionclassificationandanalysisofbacterialautotransporters AT celiknermin bioinformaticstrategyforthedetectionclassificationandanalysisofbacterialautotransporters AT webbchaillet bioinformaticstrategyforthedetectionclassificationandanalysisofbacterialautotransporters AT leytondenissel bioinformaticstrategyforthedetectionclassificationandanalysisofbacterialautotransporters AT holtkathryne bioinformaticstrategyforthedetectionclassificationandanalysisofbacterialautotransporters AT heinzeva bioinformaticstrategyforthedetectionclassificationandanalysisofbacterialautotransporters AT gorrellrebecca bioinformaticstrategyforthedetectionclassificationandanalysisofbacterialautotransporters AT kwokterry bioinformaticstrategyforthedetectionclassificationandanalysisofbacterialautotransporters AT nadererthomas bioinformaticstrategyforthedetectionclassificationandanalysisofbacterialautotransporters AT strugnellricharda bioinformaticstrategyforthedetectionclassificationandanalysisofbacterialautotransporters AT speedterencep bioinformaticstrategyforthedetectionclassificationandanalysisofbacterialautotransporters AT teasdalerohand bioinformaticstrategyforthedetectionclassificationandanalysisofbacterialautotransporters AT likicvladimira bioinformaticstrategyforthedetectionclassificationandanalysisofbacterialautotransporters AT lithgowtrevor bioinformaticstrategyforthedetectionclassificationandanalysisofbacterialautotransporters |