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Protein and Sugar Export and Assembly in Gram-positive Bacteria

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Attention for Chapter 5015: Type VII Secretion Systems in Gram-Positive Bacteria
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Chapter title
Type VII Secretion Systems in Gram-Positive Bacteria
Chapter number 5015
Book title
Protein and Sugar Export and Assembly in Gram-positive Bacteria
Published in
Current topics in microbiology and immunology, January 2015
DOI 10.1007/82_2015_5015
Pubmed ID
Book ISBNs
978-3-31-956012-0, 978-3-31-956014-4
Authors

Daria Bottai, Matthias I. Gröschel, Roland Brosch, Bottai, Daria, Gröschel, Matthias I., Brosch, Roland

Editors

Fabio Bagnoli, Rino Rappuoli

Abstract

Bacterial secretion systems are sophisticated molecular machines that fulfil a wide range of important functions, which reach from export/secretion of essential proteins or virulence factors to the implication in conjugation processes. In contrast to the widely distributed Sec and Twin Arginine Translocation (TAT) systems, the recently identified ESX/type VII systems show a more restricted distribution and are typical for mycobacteria and other high-GC Actinobacteria. Similarly, type VII-like secretion systems have been described in low-GC Gram-positive bacteria belonging to the phylum Firmicutes. While the most complex organization of type VII secretion systems currently known is found in slow-growing mycobacteria, which harbour up to 5 chromosomal-encoded systems (ESX-1 to ESX-5), much simpler organization is reported for type VII-like systems in Firmicutes. In this chapter, we describe common and divergent features of type VII- and type VII-like secretion pathways and also comment on their biological key roles, many of which are related to species-/genus-specific host-pathogen interactions and/or virulence mechanisms.

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The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 16%
Student > Ph. D. Student 8 14%
Student > Bachelor 7 13%
Student > Master 7 13%
Student > Doctoral Student 5 9%
Other 7 13%
Unknown 13 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 34%
Agricultural and Biological Sciences 12 21%
Immunology and Microbiology 7 13%
Nursing and Health Professions 1 2%
Environmental Science 1 2%
Other 4 7%
Unknown 12 21%