Literature DB >> 35695900

Evolutionary Conservation, Variability, and Adaptation of Type III Secretion Systems.

Alejandro P Heuck1, Marco A Brovedan2.   

Abstract

Type III secretion (T3S) systems are complex bacterial structures used by many pathogens to inject proteins directly into the cytosol of the host cell. These secretion machines evolved from the bacterial flagella and they have been grouped into families by phylogenetic analysis. The T3S system is composed of more than 20 proteins grouped into five complexes: the cytosolic platform, the export apparatus, the basal body, the needle, and the translocon complex. While the proteins located inside the bacterium are conserved, those exposed to the external media present high variability among families. This suggests that the T3S systems have adapted to interact with different cells or tissues in the host, and/or have been subjected to the evolutionary pressure of the host immune defenses. Such adaptation led to changes in the sequence of the T3S needle tip and translocon suggesting differences in the mechanism of assembly and structure of this complex.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Pore-forming protein; Protein secretion; Translocon; Transmembrane protein; Type-III-Secretion

Mesh:

Substances:

Year:  2022        PMID: 35695900     DOI: 10.1007/s00232-022-00247-9

Source DB:  PubMed          Journal:  J Membr Biol        ISSN: 0022-2631            Impact factor:   2.426


  81 in total

1.  Chaperone release and unfolding of substrates in type III secretion.

Authors:  Yukihiro Akeda; Jorge E Galán
Journal:  Nature       Date:  2005-10-06       Impact factor: 49.962

2.  Yersinia pseudotuberculosis YopD mutants that genetically separate effector protein translocation from host membrane disruption.

Authors:  Walter Adams; Jessica Morgan; Laura Kwuan; Victoria Auerbuch
Journal:  Mol Microbiol       Date:  2015-03-16       Impact factor: 3.501

3.  Translocation of surface-localized effectors in type III secretion.

Authors:  Karen Akopyan; Tomas Edgren; Helen Wang-Edgren; Roland Rosqvist; Anna Fahlgren; Hans Wolf-Watz; Maria Fallman
Journal:  Proc Natl Acad Sci U S A       Date:  2011-01-10       Impact factor: 11.205

4.  Substrate-activated conformational switch on chaperones encodes a targeting signal in type III secretion.

Authors:  Li Chen; Xuanjun Ai; Athina G Portaliou; Conceicao A S A Minetti; David P Remeta; Anastassios Economou; Charalampos G Kalodimos
Journal:  Cell Rep       Date:  2013-03-21       Impact factor: 9.423

Review 5.  Binary bacterial toxins: biochemistry, biology, and applications of common Clostridium and Bacillus proteins.

Authors:  Holger Barth; Klaus Aktories; Michel R Popoff; Bradley G Stiles
Journal:  Microbiol Mol Biol Rev       Date:  2004-09       Impact factor: 11.056

6.  Identification of the docking site between a type III secretion system ATPase and a chaperone for effector cargo.

Authors:  Sarah E Allison; Brian R Tuinema; Ellen S Everson; Seiji Sugiman-Marangos; Kun Zhang; Murray S Junop; Brian K Coombes
Journal:  J Biol Chem       Date:  2014-07-17       Impact factor: 5.157

7.  Structure of the Yersinia pestis tip protein LcrV refined to 1.65 Å resolution.

Authors:  Sukanya Chaudhury; Kevin P Battaile; Scott Lovell; Gregory V Plano; Roberto N De Guzman
Journal:  Acta Crystallogr Sect F Struct Biol Cryst Commun       Date:  2013-04-27

8.  Function and molecular architecture of the Yersinia injectisome tip complex.

Authors:  Petr Broz; Catherine A Mueller; Shirley A Müller; Ansgar Philippsen; Isabel Sorg; Andreas Engel; Guy R Cornelis
Journal:  Mol Microbiol       Date:  2007-09       Impact factor: 3.501

9.  The non-flagellar type III secretion system evolved from the bacterial flagellum and diversified into host-cell adapted systems.

Authors:  Sophie S Abby; Eduardo P C Rocha
Journal:  PLoS Genet       Date:  2012-09-27       Impact factor: 5.917

10.  MatGAT: an application that generates similarity/identity matrices using protein or DNA sequences.

Authors:  James J Campanella; Ledion Bitincka; John Smalley
Journal:  BMC Bioinformatics       Date:  2003-07-10       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.