Transcriptional control of motility enables directional movement of Escherichia coli in a signal gradient

Abstract Manipulation of cellular motility using a target signal can facilitate the development of biosensors or microbe-powered biorobots. Here, we engineered signal-dependent motility in Escherichia coli via the transcriptional control of a key motility gene. Without manipulating chemotaxis, signa...

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Main Authors: Jayamary Divya Ravichandar, Adam G. Bower, A. Agung Julius, Cynthia H. Collins
Format: Article
Language:English
Published: Nature Publishing Group 2017-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-017-08870-6
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spelling doaj-7ce974fb4c5e404380f246abf87b88f62020-12-08T03:16:28ZengNature Publishing GroupScientific Reports2045-23222017-08-017111410.1038/s41598-017-08870-6Transcriptional control of motility enables directional movement of Escherichia coli in a signal gradientJayamary Divya Ravichandar0Adam G. Bower1A. Agung Julius2Cynthia H. Collins3Department of Chemical and Biological Engineering, Rensselaer Polytechnic InstituteDepartment of Chemical and Biological Engineering, Rensselaer Polytechnic InstituteDepartment of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic InstituteDepartment of Chemical and Biological Engineering, Rensselaer Polytechnic InstituteAbstract Manipulation of cellular motility using a target signal can facilitate the development of biosensors or microbe-powered biorobots. Here, we engineered signal-dependent motility in Escherichia coli via the transcriptional control of a key motility gene. Without manipulating chemotaxis, signal-dependent switching of motility, either on or off, led to population-level directional movement of cells up or down a signal gradient. We developed a mathematical model that captures the behaviour of the cells, enables identification of key parameters controlling system behaviour, and facilitates predictive-design of motility-based pattern formation. We demonstrated that motility of the receiver strains could be controlled by a sender strain generating a signal gradient. The modular quorum sensing-dependent architecture for interfacing different senders with receivers enabled a broad range of systems-level behaviours. The directional control of motility, especially combined with the potential to incorporate tuneable sensors and more complex sensing-logic, may lead to tools for novel biosensing and targeted-delivery applications.https://doi.org/10.1038/s41598-017-08870-6
collection DOAJ
language English
format Article
sources DOAJ
author Jayamary Divya Ravichandar
Adam G. Bower
A. Agung Julius
Cynthia H. Collins
spellingShingle Jayamary Divya Ravichandar
Adam G. Bower
A. Agung Julius
Cynthia H. Collins
Transcriptional control of motility enables directional movement of Escherichia coli in a signal gradient
Scientific Reports
author_facet Jayamary Divya Ravichandar
Adam G. Bower
A. Agung Julius
Cynthia H. Collins
author_sort Jayamary Divya Ravichandar
title Transcriptional control of motility enables directional movement of Escherichia coli in a signal gradient
title_short Transcriptional control of motility enables directional movement of Escherichia coli in a signal gradient
title_full Transcriptional control of motility enables directional movement of Escherichia coli in a signal gradient
title_fullStr Transcriptional control of motility enables directional movement of Escherichia coli in a signal gradient
title_full_unstemmed Transcriptional control of motility enables directional movement of Escherichia coli in a signal gradient
title_sort transcriptional control of motility enables directional movement of escherichia coli in a signal gradient
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2017-08-01
description Abstract Manipulation of cellular motility using a target signal can facilitate the development of biosensors or microbe-powered biorobots. Here, we engineered signal-dependent motility in Escherichia coli via the transcriptional control of a key motility gene. Without manipulating chemotaxis, signal-dependent switching of motility, either on or off, led to population-level directional movement of cells up or down a signal gradient. We developed a mathematical model that captures the behaviour of the cells, enables identification of key parameters controlling system behaviour, and facilitates predictive-design of motility-based pattern formation. We demonstrated that motility of the receiver strains could be controlled by a sender strain generating a signal gradient. The modular quorum sensing-dependent architecture for interfacing different senders with receivers enabled a broad range of systems-level behaviours. The directional control of motility, especially combined with the potential to incorporate tuneable sensors and more complex sensing-logic, may lead to tools for novel biosensing and targeted-delivery applications.
url https://doi.org/10.1038/s41598-017-08870-6
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