Literature DB >> 27247275

Synthetic Chemical Inducers and Genetic Decoupling Enable Orthogonal Control of the rhaBAD Promoter.

Ciarán L Kelly1, Zilei Liu2, Akihide Yoshihara3, Sarah F Jenkinson2, Mark R Wormald4, Jose Otero5, Amalia Estévez5, Atsushi Kato6, Mikkel H S Marqvorsen2, George W J Fleet2, Ramón J Estévez5, Ken Izumori3, John T Heap1.   

Abstract

External control of gene expression is crucial in synthetic biology and biotechnology research and applications, and is commonly achieved using inducible promoter systems. The E. coli rhamnose-inducible rhaBAD promoter has properties superior to more commonly used inducible expression systems, but is marred by transient expression caused by degradation of the native inducer, l-rhamnose. To address this problem, 35 analogues of l-rhamnose were screened for induction of the rhaBAD promoter, but no strong inducers were identified. In the native configuration, an inducer must bind and activate two transcriptional activators, RhaR and RhaS. Therefore, the expression system was reconfigured to decouple the rhaBAD promoter from the native rhaSR regulatory cascade so that candidate inducers need only activate the terminal transcription factor RhaS. Rescreening the 35 compounds using the modified rhaBAD expression system revealed several promising inducers. These were characterized further to determine the strength, kinetics, and concentration-dependence of induction; whether the inducer was used as a carbon source by E. coli; and the modality (distribution) of induction among populations of cells. l-Mannose was found to be the most useful orthogonal inducer, providing an even greater range of induction than the native inducer l-rhamnose, and crucially, allowing sustained induction instead of transient induction. These findings address the key limitation of the rhaBAD expression system and suggest it may now be the most suitable system for many applications.

Entities:  

Keywords:  expression system; inducible promoter; mannose; nonmetabolized inducer; rhaBAD; rhamnose

Mesh:

Substances:

Year:  2016        PMID: 27247275     DOI: 10.1021/acssynbio.6b00030

Source DB:  PubMed          Journal:  ACS Synth Biol        ISSN: 2161-5063            Impact factor:   5.110


  13 in total

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Authors:  Ciarán L Kelly; Andreas W K Harris; Harrison Steel; Edward J Hancock; John T Heap; Antonis Papachristodoulou
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2.  A New Suite of Allelic-Exchange Vectors for the Scarless Modification of Proteobacterial Genomes.

Authors:  Jacob E Lazarus; Alyson R Warr; Carole J Kuehl; Rachel T Giorgio; Brigid M Davis; Matthew K Waldor
Journal:  Appl Environ Microbiol       Date:  2019-08-01       Impact factor: 4.792

3.  Transcriptional Terminators Allow Leak-Free Chromosomal Integration of Genetic Constructs in Cyanobacteria.

Authors:  Ciarán L Kelly; George M Taylor; Aistė Šatkutė; Linda Dekker; John T Heap
Journal:  Microorganisms       Date:  2019-08-16

Review 4.  Genetically encoded biosensors for lignocellulose valorization.

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Journal:  Biotechnol Biofuels       Date:  2019-10-15       Impact factor: 6.040

5.  Development of High-Performance Whole Cell Biosensors Aided by Statistical Modeling.

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Journal:  ACS Synth Biol       Date:  2020-02-17       Impact factor: 5.110

6.  A microbial expression system for high-level production of scFv HIV-neutralizing antibody fragments in Escherichia coli.

Authors:  Marloes L C Petrus; Lukas A Kiefer; Pranav Puri; Evert Heemskerk; Michael S Seaman; Dan H Barouch; Sagrario Arias; Gilles P van Wezel; Menzo Havenga
Journal:  Appl Microbiol Biotechnol       Date:  2019-10-22       Impact factor: 4.813

Review 7.  Emerging Species and Genome Editing Tools: Future Prospects in Cyanobacterial Synthetic Biology.

Authors:  Grant A R Gale; Alejandra A Schiavon Osorio; Lauren A Mills; Baojun Wang; David J Lea-Smith; Alistair J McCormick
Journal:  Microorganisms       Date:  2019-09-29

8.  Improved Dynamic Range of a Rhamnose-Inducible Promoter for Gene Expression in Burkholderia spp.

Authors:  Andrew M Hogan; Kevin R Jeffers; Armando Palacios; Silvia T Cardona
Journal:  Appl Environ Microbiol       Date:  2021-08-26       Impact factor: 4.792

9.  Molecular engineering of the salicylate-inducible transcription factor Sal7AR for orthogonal and high gene expression in Escherichia coli.

Authors:  Kentaro Miyazaki
Journal:  PLoS One       Date:  2018-04-11       Impact factor: 3.240

10.  A machine learning approach to define antimalarial drug action from heterogeneous cell-based screens.

Authors:  George W Ashdown; Michelle Dimon; Minjie Fan; Fernando Sánchez-Román Terán; Kathrin Witmer; David C A Gaboriau; Zan Armstrong; D Michael Ando; Jake Baum
Journal:  Sci Adv       Date:  2020-09-25       Impact factor: 14.136

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