Literature DB >> 25250630

Refactoring and optimization of light-switchable Escherichia coli two-component systems.

Sebastian R Schmidl1, Ravi U Sheth, Andrew Wu, Jeffrey J Tabor.   

Abstract

Light-switchable proteins enable unparalleled control of molecular biological processes in live organisms. Previously, we have engineered red/far-red and green/red photoreversible two-component signal transduction systems (TCSs) with transcriptional outputs in E. coli and used them to characterize and control synthetic gene circuits with exceptional quantitative, temporal, and spatial precision. However, the broad utility of these light sensors is limited by bulky DNA encoding, incompatibility with commonly used ligand-responsive transcription factors, leaky output in deactivating light, and less than 10-fold dynamic range. Here, we compress the four genes required for each TCS onto two streamlined plasmids and replace all chemically inducible and evolved promoters with constitutive, engineered versions. Additionally, we systematically optimize the expression of each sensor histidine kinase and response regulator, and redesign both pathway output promoters, resulting in low leakiness and 72- and 117-fold dynamic range, respectively. These second-generation light sensors can be used to program the expression of more genes over a wider range and can be more easily combined with additional plasmids or moved to different host strains. This work demonstrates that bacterial TCSs can be optimized to function as high-performance sensors for scientific and engineering applications.

Entities:  

Keywords:  Escherichia coli; cyanobacteriochrome; optogenetics; phytochrome; refactoring; two component system

Mesh:

Substances:

Year:  2014        PMID: 25250630     DOI: 10.1021/sb500273n

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


  45 in total

1.  Blue light-mediated transcriptional activation and repression of gene expression in bacteria.

Authors:  Premkumar Jayaraman; Kavya Devarajan; Tze Kwang Chua; Hanzhong Zhang; Erry Gunawan; Chueh Loo Poh
Journal:  Nucleic Acids Res       Date:  2016-06-28       Impact factor: 16.971

2.  Engineering RGB color vision into Escherichia coli.

Authors:  Jesus Fernandez-Rodriguez; Felix Moser; Miryoung Song; Christopher A Voigt
Journal:  Nat Chem Biol       Date:  2017-05-22       Impact factor: 15.040

Review 3.  DNA-based memory devices for recording cellular events.

Authors:  Ravi U Sheth; Harris H Wang
Journal:  Nat Rev Genet       Date:  2018-11       Impact factor: 53.242

4.  Molecular circuits for dynamic noise filtering.

Authors:  Christoph Zechner; Georg Seelig; Marc Rullan; Mustafa Khammash
Journal:  Proc Natl Acad Sci U S A       Date:  2016-04-12       Impact factor: 11.205

Review 5.  Synthetic Morphogenesis.

Authors:  Brian P Teague; Patrick Guye; Ron Weiss
Journal:  Cold Spring Harb Perspect Biol       Date:  2016-09-01       Impact factor: 10.005

6.  An extraordinary stringent and sensitive light-switchable gene expression system for bacterial cells.

Authors:  Xianjun Chen; Renmei Liu; Zhengcai Ma; Xiaopei Xu; Haoqian Zhang; Jianhe Xu; Qi Ouyang; Yi Yang
Journal:  Cell Res       Date:  2016-06-17       Impact factor: 25.617

7.  A far-red cyanobacteriochrome lineage specific for verdins.

Authors:  Marcus V Moreno; Nathan C Rockwell; Manuel Mora; Andrew J Fisher; J Clark Lagarias
Journal:  Proc Natl Acad Sci U S A       Date:  2020-10-26       Impact factor: 11.205

8.  Re-engineering the two-component systems as light-regulated in Escherichia coli.

Authors:  Siya Ma; Siwei Luo; L I Wu; Zhi Liang; Jia-Rui Wu
Journal:  J Biosci       Date:  2017-12       Impact factor: 1.826

9.  Bottom-up approaches in synthetic biology and biomaterials for tissue engineering applications.

Authors:  Mitchell S Weisenberger; Tara L Deans
Journal:  J Ind Microbiol Biotechnol       Date:  2018-03-19       Impact factor: 3.346

10.  FlowCal: A User-Friendly, Open Source Software Tool for Automatically Converting Flow Cytometry Data from Arbitrary to Calibrated Units.

Authors:  Sebastian M Castillo-Hair; John T Sexton; Brian P Landry; Evan J Olson; Oleg A Igoshin; Jeffrey J Tabor
Journal:  ACS Synth Biol       Date:  2016-05-12       Impact factor: 5.110

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