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 th...

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Main Authors: Penesyan, Anahit, Ballestriero, Francesco, Daim, Malak, Kjelleberg, Staffan, Thomas, Torsten, Egan, Suhelen
Format: Journal Article
Language:English
Published: 2014
Subjects:
Online Access:https://hdl.handle.net/10356/98974
http://hdl.handle.net/10220/18428
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author Penesyan, Anahit
Ballestriero, Francesco
Daim, Malak
Kjelleberg, Staffan
Thomas, Torsten
Egan, Suhelen
author_facet Penesyan, Anahit
Ballestriero, Francesco
Daim, Malak
Kjelleberg, Staffan
Thomas, Torsten
Egan, Suhelen
author_sort Penesyan, Anahit
collection NTU
description 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.
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spelling ntu-10356/989742022-02-16T16:31:18Z Assessing the effectiveness of functional genetic screens for the identification of bioactive metabolites Penesyan, Anahit Ballestriero, Francesco Daim, Malak Kjelleberg, Staffan Thomas, Torsten Egan, Suhelen DRNTU::Science::Biological sciences 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. Published version 2014-01-10T02:49:25Z 2019-12-06T20:01:51Z 2014-01-10T02:49:25Z 2019-12-06T20:01:51Z 2013 2013 Journal Article Penesyan, A., Ballestriero, F., Daim, M., Kjelleberg, S., Thomas, T., & Egan, S. (2013). Assessing the effectiveness of functional genetic screens for the identification of bioactive metabolites. Marine drugs, 11(1), 40-49. 1660-3397 https://hdl.handle.net/10356/98974 http://hdl.handle.net/10220/18428 10.3390/md11010040 23271424 en Marine drugs © 2013 The Authors (published by MDPI). This paper was published in Marine Drugs and is made available as an electronic reprint (preprint) with permission of the authors. The paper can be found at the following official DOI: [http://dx.doi.org/10.3390/md11010040]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. application/pdf
spellingShingle DRNTU::Science::Biological sciences
Penesyan, Anahit
Ballestriero, Francesco
Daim, Malak
Kjelleberg, Staffan
Thomas, Torsten
Egan, Suhelen
Assessing the effectiveness of functional genetic screens for the identification of bioactive metabolites
title Assessing the effectiveness of functional genetic screens for the identification of bioactive metabolites
title_full Assessing the effectiveness of functional genetic screens for the identification of bioactive metabolites
title_fullStr Assessing the effectiveness of functional genetic screens for the identification of bioactive metabolites
title_full_unstemmed Assessing the effectiveness of functional genetic screens for the identification of bioactive metabolites
title_short Assessing the effectiveness of functional genetic screens for the identification of bioactive metabolites
title_sort assessing the effectiveness of functional genetic screens for the identification of bioactive metabolites
topic DRNTU::Science::Biological sciences
url https://hdl.handle.net/10356/98974
http://hdl.handle.net/10220/18428
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