Assessing the effectiveness of functional genetic screens for the identification of bioactive metabolites

A common limitation for the identification of novel activities from functional (meta) genomic screens is the low number of active clones detected relative to the number of clones screened. Here we demonstrate that constructing libraries with strains known to produce bioactives can greatly enhance the screening efficiency, by increasing the "hit-rate" and unmasking multiple activities from the same bacterial source.