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Regulation of the Escherichia coli HipBA Toxin-Antitoxin System by Proteolysis

Overview of attention for article published in PLOS ONE, June 2012
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Title
Regulation of the Escherichia coli HipBA Toxin-Antitoxin System by Proteolysis
Published in
PLOS ONE, June 2012
DOI 10.1371/journal.pone.0039185
Pubmed ID
Authors

Sonja Hansen, Marin Vulić, Jungki Min, Tien-Jui Yen, Maria A. Schumacher, Richard G. Brennan, Kim Lewis

Abstract

Bacterial populations produce antibiotic-tolerant persister cells. A number of recent studies point to the involvement of toxin/antitoxin (TA) modules in persister formation. hipBA is a type II TA module that codes for the HipB antitoxin and the HipA toxin. HipA is an EF-Tu kinase, which causes protein synthesis inhibition and dormancy upon phosphorylation of its substrate. Antitoxins are labile proteins that are degraded by one of the cytosolic ATP-dependent proteases. We followed the rate of HipB degradation in different protease deficient strains and found that HipB was stabilized in a lon(-) background. These findings were confirmed in an in vitro degradation assay, showing that Lon is the main protease responsible for HipB proteolysis. Moreover, we demonstrated that degradation of HipB is dependent on the presence of an unstructured carboxy-terminal stretch of HipB that encompasses the last 16 amino acid residues. Further, substitution of the conserved carboxy-terminal tryptophan of HipB to alanine or even the complete removal of this 16 residue fragment did not alter the affinity of HipB for hipBA operator DNA or for HipA indicating that the major role of this region of HipB is to control HipB degradation and hence HipA-mediated persistence.

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Mendeley readers

The data shown below were compiled from readership statistics for 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 2 1%
France 1 <1%
Malaysia 1 <1%
Unknown 166 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 22%
Student > Bachelor 29 17%
Researcher 28 16%
Student > Master 21 12%
Professor 9 5%
Other 22 13%
Unknown 23 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 64 38%
Biochemistry, Genetics and Molecular Biology 47 28%
Immunology and Microbiology 12 7%
Chemistry 5 3%
Medicine and Dentistry 4 2%
Other 11 6%
Unknown 27 16%