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Intra-Species and Inter-Kingdom Signaling of Legionella pneumophila

Overview of attention for article published in Frontiers in Microbiology, February 2017
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Title
Intra-Species and Inter-Kingdom Signaling of Legionella pneumophila
Published in
Frontiers in Microbiology, February 2017
DOI 10.3389/fmicb.2017.00079
Pubmed ID
Authors

Ramon Hochstrasser, Hubert Hilbi

Abstract

The ubiquitous Gram-negative bacterium Legionella pneumophila parasitizes environ mental amoebae and, upon inhalation, replicates in alveolar macrophages, thus causing a life-threatening pneumonia called "Legionnaires' disease." The opportunistic pathogen employs a bi-phasic life cycle, alternating between a replicative, non-virulent phase and a stationary, transmissive/virulent phase. L. pneumophila employs the Lqs (Legionella quorum sensing) system as a major regulator of the growth phase switch. The Lqs system comprises the autoinducer synthase LqsA, the homologous sensor kinases LqsS and LqsT, as well as a prototypic response regulator termed LqsR. These components produce, detect, and respond to the α-hydroxyketone signaling molecule LAI-1 (Legionella autoinducer-1, 3-hydroxypentadecane-4-one). LAI-1-mediated signal transduction through the sensor kinases converges on LqsR, which dimerizes upon phosphorylation. The Lqs system regulates the bacterial growth phase switch, pathogen-host cell interactions, motility, natural competence, filament production, and expression of a chromosomal "fitness island." Yet, LAI-1 not only mediates bacterial intra-species signaling, but also modulates the motility of eukaryotic cells through the small GTPase Cdc42 and thus promotes inter-kingdom signaling. Taken together, the low molecular weight compound LAI-1 produced by L. pneumophila and sensed by the bacteria as well as by eukaryotic cells plays a major role in pathogen-host cell interactions.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
Unknown 47 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 17%
Student > Ph. D. Student 7 15%
Student > Master 7 15%
Student > Postgraduate 6 13%
Researcher 5 10%
Other 4 8%
Unknown 11 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 33%
Biochemistry, Genetics and Molecular Biology 12 25%
Medicine and Dentistry 3 6%
Environmental Science 1 2%
Chemical Engineering 1 2%
Other 3 6%
Unknown 12 25%