Selective advantage of resistant strains at trace levels of antibiotics: a simple and ultrasensitive color test for detection of antibiotics and genotoxic agents.

Many studies have examined the evolution of bacterial mutants that are resistant to specific antibiotics, and many of these focus on concentrations at and above the MIC. Here we ask for the minimum concentration at which existing resistant mutants can outgrow sensitive wild-type strains in competition experiments at antibiotic levels significantly below the MIC, and we define a minimum selective concentration (MSC) in Escherichia coli for two antibiotics, which is near 1/5 of the MIC for ciprofloxacin and 1/20 of the MIC for tetracycline. Because of the prevalence of resistant mutants already in the human microbiome, allowable levels of antibiotics to which we are exposed should be below the MSC.

Determination of hypersensitivity to genotoxic agents among Escherichia coli single gene knockout mutants.

We have tested the KEIO collection of 3985 different viable single gene knockouts in Escherichia coli to identify genes whose loss increases sensitivity to one or more of six different chemotherapeutic agents and mutagens: Bleomycin (BLM), Cisplatin (CPT), ICR-191 (ICR), 5-azacytidine (5AZ), Zebularine (ZEB), and 5-bromo-2'-deoxyuridine (5BdU). We discovered a set of 156 strains that display a significant increase in sensitivity to at least one of the agents tested. Each genotoxic agent generates a distinct "sensitivity profile" that is characteristic of the agent.

Determination of antibiotic hypersensitivity among 4,000 single-gene-knockout mutants of Escherichia coli.

We have tested the entire Keio collection of close to 4,000 single-gene knockouts in Escherichia coli for increased susceptibility to one of seven different antibiotics (ciprofloxacin, rifampin, vancomycin, ampicillin, sulfamethoxazole, gentamicin, or metronidazole). We used high-throughput screening of several subinhibitory concentrations of each antibiotic and reduced more than 65,000 data points to a set of 140 strains that display significantly increased sensitivities to at least one of the antibiotics, determining the MIC in each case. These data provide targets for the design of "codrugs" that can potentiate existing antibiotics.