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Development of novel metabolite-responsive transcription factors via transposon-mediated protein fusion.


ABSTRACT: Naturally evolved metabolite-responsive biosensors enable applications in metabolic engineering, ranging from screening large genetic libraries to dynamically regulating biosynthetic pathways. However, there are many metabolites for which a natural biosensor does not exist. To address this need, we developed a general method for converting metabolite-binding proteins into metabolite-responsive transcription factors-Biosensor Engineering by Random Domain Insertion (BERDI). This approach takes advantage of an in vitro transposon insertion reaction to generate all possible insertions of a DNA-binding domain into a metabolite-binding protein, followed by fluorescence activated cell sorting to isolate functional biosensors. To develop and evaluate the BERDI method, we generated a library of candidate biosensors in which a zinc finger DNA-binding domain was inserted into maltose binding protein, which served as a model well-studied metabolite-binding protein. Library diversity was characterized by several methods, a selection scheme was deployed, and ultimately several distinct and functional maltose-responsive transcriptional biosensors were identified. We hypothesize that the BERDI method comprises a generalizable strategy that may ultimately be applied to convert a wide range of metabolite-binding proteins into novel biosensors for applications in metabolic engineering and synthetic biology.

SUBMITTER: Younger AKD 

PROVIDER: S-EPMC5914420 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature

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Development of novel metabolite-responsive transcription factors via transposon-mediated protein fusion.

Younger Andrew K D AKD   Su Peter Y PY   Shepard Andrea J AJ   Udani Shreya V SV   Cybulski Thaddeus R TR   Tyo Keith E J KEJ   Leonard Joshua N JN  

Protein engineering, design & selection : PEDS 20180201 2


Naturally evolved metabolite-responsive biosensors enable applications in metabolic engineering, ranging from screening large genetic libraries to dynamically regulating biosynthetic pathways. However, there are many metabolites for which a natural biosensor does not exist. To address this need, we developed a general method for converting metabolite-binding proteins into metabolite-responsive transcription factors-Biosensor Engineering by Random Domain Insertion (BERDI). This approach takes adv  ...[more]

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