Literature DB >> 25908186

Rational design of 'controller cells' to manipulate protein and phenotype expression.

Amin Zargar1, David N Quan1, Milad Emamian1, Chen Yu Tsao1, Hsuan-Chen Wu1, Chelsea R Virgile1, William E Bentley2.   

Abstract

Coordination between cell populations via prevailing metabolic cues has been noted as a promising approach to connect synthetic devices and drive phenotypic or product outcomes. However, there has been little progress in developing 'controller cells' to modulate metabolic cues and guide these systems. In this work, we developed 'controller cells' that manipulate the molecular connection between cells by modulating the bacterial signal molecule, autoinducer-2, that is secreted as a quorum sensing (QS) signal by many bacterial species. Specifically, we have engineered Escherichia coli to overexpress components responsible for autoinducer uptake (lsrACDB), phosphorylation (lsrK), and degradation (lsrFG), thereby attenuating cell-cell communication among populations. Further, we developed a simple mathematical model that recapitulates experimental data and characterizes the dynamic balance among the various uptake mechanisms. This study revealed two controller 'knobs' that serve to increase AI-2 uptake: overexpression of the AI-2 transporter, LsrACDB, which controls removal of extracellular AI-2, and overexpression of the AI-2 kinase, LsrK, which increases the net uptake rate by limiting secretion of AI-2 back into the extracellular environment. We find that the overexpression of lsrACDBFG results in an extraordinarily high AI-2 uptake rate that is capable of completely silencing QS-mediated gene expression among wild-type cells. We demonstrate utility by modulating naturally occurring processes of chemotaxis and biofilm formation. We envision that 'controller cells' that modulate bacterial behavior by manipulating molecular communication, will find use in a variety of applications, particularly those employing natural or synthetic bacterial consortia.
Copyright © 2015 International Metabolic Engineering Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Autoinducer 2; Biofilm; Chemotaxis; Quorum quenching; Quorum sensing

Mesh:

Substances:

Year:  2015        PMID: 25908186     DOI: 10.1016/j.ymben.2015.04.001

Source DB:  PubMed          Journal:  Metab Eng        ISSN: 1096-7176            Impact factor:   9.783


  5 in total

1.  Homologous Quorum Sensing Regulatory Circuit: A Dual-Input Genetic Controller for Modulating Quorum Sensing-Mediated Protein Expression in E. coli.

Authors:  Pricila Hauk; Kristina Stephens; Chelsea Virgile; Eric VanArsdale; Alex Eli Pottash; John S Schardt; Steven M Jay; Herman O Sintim; William E Bentley
Journal:  ACS Synth Biol       Date:  2020-09-15       Impact factor: 5.110

2.  Engineering Escherichia coli for enhanced sensitivity to the autoinducer-2 quorum sensing signal.

Authors:  Kristina Stephens; Amin Zargar; Milad Emamian; Nadia Abutaleb; Erica Choi; David N Quan; Gregory Payne; William E Bentley
Journal:  Biotechnol Prog       Date:  2019-08-10

3.  Regulation of bacteria population behaviors by AI-2 "consumer cells" and "supplier cells".

Authors:  Yufen Quan; Fankang Meng; Xinyu Ma; Xinhao Song; Xiao Liu; Weixia Gao; Yulei Dang; Yao Meng; Mingfeng Cao; Cunjiang Song
Journal:  BMC Microbiol       Date:  2017-09-19       Impact factor: 3.605

4.  Nano-guided cell networks as conveyors of molecular communication.

Authors:  Jessica L Terrell; Hsuan-Chen Wu; Chen-Yu Tsao; Nathan B Barber; Matthew D Servinsky; Gregory F Payne; William E Bentley
Journal:  Nat Commun       Date:  2015-10-12       Impact factor: 14.919

5.  Microbial Platform for Terpenoid Production: Escherichia coli and Yeast.

Authors:  Chonglong Wang; Mudanguli Liwei; Ji-Bin Park; Seong-Hee Jeong; Gongyuan Wei; Yujun Wang; Seon-Won Kim
Journal:  Front Microbiol       Date:  2018-10-12       Impact factor: 5.640

  5 in total

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