title: Assessing the effectiveness of functional genetic screens  for the identification of bioactive metabolites.
abstract: 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.
authors.affiliation: School of Biotechnology and Biomolecular Sciences and Centre for Marine Bio-Innovation, University of New South Wales, Sydney 2052, New South Wales, Australia. anahit.penesyan@mq.edu.au
authors.forename: Anahit
authors.initials: A
authors.lastname: Penesyan
authors.forename: Francesco
authors.initials: F
authors.lastname: Ballestriero
authors.forename: Malak
authors.initials: M
authors.lastname: Daim
authors.forename: Staffan
authors.initials: S
authors.lastname: Kjelleberg
authors.forename: Torsten
authors.initials: T
authors.lastname: Thomas
authors.forename: Suhelen
authors.initials: S
authors.lastname: Egan
mesh_terms: D001419:Bacteria / Q000187:drug effects* / Q000235:genetics / Q000378:metabolism; D001688:Biological Products / Q000378:metabolism* / Q000494:pharmacology*; D005820:Genetic Testing / Q000379:methods*; D054892:Metagenome; D056186:Metagenomics / Q000379:methods
chemical_list: D001688:Biological Products