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Distribution of Secretion Systems in the Genus Legionella and Its Correlation with Pathogenicity

Overview of attention for article published in Frontiers in Microbiology, March 2017
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Title
Distribution of Secretion Systems in the Genus Legionella and Its Correlation with Pathogenicity
Published in
Frontiers in Microbiology, March 2017
DOI 10.3389/fmicb.2017.00388
Pubmed ID
Authors

Tian Qin, Haijian Zhou, Hongyu Ren, Wenbin Liu

Abstract

The genus Legionella comprises over 60 species, which are important human pathogens. Secretion systems in Legionella pneumophila have been studied extensively because of the essential role of protein secretion in bacterial infection. However, there are few reports describing the secretion systems in non-L. pneumophila species. In this study, we analyzed the distribution of secretion systems in L. pneumophila and 18 species of non-L. pneumophila based on whole genome sequences. A total of 74 whole genome sequences from 19 species of Legionella were analyzed. Type II and IVB secretion systems were detected in all Legionella strains, but the type I secretion systems was restricted to L. pneumophila. The type IVA secretion system was randomly distributed among different species. Furthermore, we found the type VI secretion system in three non-L. pneumophila strains (Legionella cherrii DSM 19213, Legionella dumoffii Tex-KL, and Legionella gormanii ATCC 33297). In population structure analysis, L. pneumophila formed a conservative cluster and was located at the terminal of the evolutionary tree. At the same time, L. pneumophila, especially eight clone groups (named MCGG1-MCGG8), showed higher intracellular growth ability than non-L. pneumophila species. These results suggest that L. pneumophila has acquired additional secretion systems during evolution, resulting in increased pathogenicity.

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The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 16%
Student > Ph. D. Student 6 14%
Researcher 6 14%
Student > Master 6 14%
Student > Postgraduate 3 7%
Other 5 11%
Unknown 11 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 23%
Biochemistry, Genetics and Molecular Biology 9 20%
Immunology and Microbiology 6 14%
Environmental Science 1 2%
Unspecified 1 2%
Other 2 5%
Unknown 15 34%