Due to the high rediscovery rate of known antibiotics by conventional approaches such as bioassay-guided separation, NMR-based metabolomics was developed for application to antibiotic discovery. Application of the technology includes determining the media- and time-dependent antibiotic production profiles for promising producer organisms and identifying the antibiotics that are elicited through ecological, chemical or genetic perturbation. The NMR spectral data were interrogated statistically using several multivariate data analyses to differentiate chemical profiles and correlate specific NMR signals to bioactivity. Quantitative metabolomics allows efficient identification of candidate molecules and avoid chemical redundancy. Proof of concept is presented, including the identification of 7-prenylisatin and a highly methoxylated isocoumarin by streptomycetes from our strain collection.
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