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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 75% |
Members of the public | 1 | 25% |
Mendeley readers
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% |