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A Differential Drug Screen for Compounds That Select Against Antibiotic Resistance

Overview of attention for article published in PLOS ONE, December 2010
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Title
A Differential Drug Screen for Compounds That Select Against Antibiotic Resistance
Published in
PLOS ONE, December 2010
DOI 10.1371/journal.pone.0015179
Pubmed ID
Authors

Remy Chait, Shreya Shrestha, Aakash Kaushik Shah, Jean-Baptiste Michel, Roy Kishony

Abstract

Antibiotics increase the frequency of resistant bacteria by providing them a competitive advantage over sensitive strains. Here, we develop a versatile assay for differential chemical inhibition of competing microbial strains, and use it to identify compounds that preferentially inhibit tetracycline-resistant relative to sensitive bacteria, thus "inverting" selection for resistance. Our assay distinguishes compounds selecting directly against specific resistance mechanisms and compounds whose selection against resistance is based on their physiological interaction with tetracycline and is more general with respect to resistance mechanism. A pilot screen indicates that both types of selection-inverting compounds are secreted by soil microbes, suggesting that nature has evolved a repertoire of chemicals that counteracts antibiotic resistance. Finally, we show that our assay can more generally permit simple, direct screening for drugs based on their differential activity against different strains or targets.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Belgium 2 1%
Canada 1 <1%
Mexico 1 <1%
Denmark 1 <1%
France 1 <1%
Japan 1 <1%
Estonia 1 <1%
Unknown 154 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 27%
Researcher 26 16%
Student > Bachelor 21 13%
Student > Master 14 8%
Student > Postgraduate 9 5%
Other 28 17%
Unknown 23 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 70 42%
Biochemistry, Genetics and Molecular Biology 27 16%
Immunology and Microbiology 9 5%
Medicine and Dentistry 7 4%
Environmental Science 6 4%
Other 19 11%
Unknown 28 17%