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Ancient Antimicrobial Peptides Kill Antibiotic-Resistant Pathogens: Australian Mammals Provide New Options

Overview of attention for article published in PLOS ONE, August 2011
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Title
Ancient Antimicrobial Peptides Kill Antibiotic-Resistant Pathogens: Australian Mammals Provide New Options
Published in
PLOS ONE, August 2011
DOI 10.1371/journal.pone.0024030
Pubmed ID
Authors

Jianghui Wang, Emily S. W. Wong, Jane C. Whitley, Jian Li, Jessica M. Stringer, Kirsty R. Short, Marilyn B. Renfree, Katherine Belov, Benjamin G. Cocks

Abstract

To overcome the increasing resistance of pathogens to existing antibiotics the 10×'20 Initiative declared the urgent need for a global commitment to develop 10 new antimicrobial drugs by the year 2020. Naturally occurring animal antibiotics are an obvious place to start. The recently sequenced genomes of mammals that are divergent from human and mouse, including the tammar wallaby and the platypus, provide an opportunity to discover novel antimicrobials. Marsupials and monotremes are ideal potential sources of new antimicrobials because they give birth to underdeveloped immunologically naïve young that develop outside the sterile confines of a uterus in harsh pathogen-laden environments. While their adaptive immune system develops innate immune factors produced either by the mother or by the young must play a key role in protecting the immune-compromised young. In this study we focus on the cathelicidins, a key family of antimicrobial peptide genes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 134 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Colombia 2 1%
Portugal 1 <1%
Sweden 1 <1%
Brazil 1 <1%
Spain 1 <1%
Belgium 1 <1%
Unknown 124 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 26 19%
Student > Ph. D. Student 24 18%
Student > Master 20 15%
Student > Bachelor 12 9%
Student > Postgraduate 9 7%
Other 20 15%
Unknown 23 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 65 49%
Biochemistry, Genetics and Molecular Biology 12 9%
Medicine and Dentistry 10 7%
Immunology and Microbiology 7 5%
Computer Science 2 1%
Other 13 10%
Unknown 25 19%