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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2017-08-01
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Online Access: | https://doi.org/10.1038/s41598-017-08870-6 |
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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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