↓ Skip to main content

PLOS

Species-Selective Killing of Bacteria by Antimicrobial Peptide-PNAs

Overview of attention for article published in PLOS ONE, February 2014
Altmetric Badge

Mentioned by

twitter
9 X users
patent
4 patents

Citations

dimensions_citation
71 Dimensions

Readers on

mendeley
114 Mendeley
Title
Species-Selective Killing of Bacteria by Antimicrobial Peptide-PNAs
Published in
PLOS ONE, February 2014
DOI 10.1371/journal.pone.0089082
Pubmed ID
Authors

Madhav Mondhe, Ashley Chessher, Shan Goh, Liam Good, James E M Stach

Abstract

Broad-spectrum antimicrobials kill indiscriminately, a property that can lead to negative clinical consequences and an increase in the incidence of resistance. Species-specific antimicrobials that could selectively kill pathogenic bacteria without targeting other species in the microbiome could limit these problems. The pathogen genome presents an excellent target for the development of such antimicrobials. In this study we report the design and evaluation of species-selective peptide nucleic acid (PNA) antibacterials. Selective growth inhibition of B. subtilis, E. coli, K. pnuemoniae and S. enterica serovar Typhimurium in axenic or mixed culture could be achieved with PNAs that exploit species differences in the translation initiation region of essential genes. An S. Typhimurium-specific PNA targeting ftsZ resulted in elongated cells that were not observed in E. coli, providing phenotypic evidence of the selectivity of PNA-based antimicrobials. Analysis of the genomes of E. coli and S. Typhimurium gave a conservative estimate of >150 PNA targets that could potentially discriminate between these two closely related species. This work provides a basis for the development of a new class of antimicrobial with a tuneable spectrum of activity.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Unknown 112 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 23%
Researcher 21 18%
Student > Master 15 13%
Professor > Associate Professor 7 6%
Student > Doctoral Student 7 6%
Other 21 18%
Unknown 17 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 25%
Biochemistry, Genetics and Molecular Biology 18 16%
Chemistry 11 10%
Medicine and Dentistry 7 6%
Immunology and Microbiology 6 5%
Other 20 18%
Unknown 23 20%