ArticleScientific reports2017
Transcriptional control of motility enables directional movement of Escherichia coli in a signal gradient.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 23 citations in OpenAlex.
- Programming Surface Motility and Modulating Physiological Behaviors of Bacteria via Biosurfactant-Mimetic Polyurethanes.ACS applied materials & interfaces · 2024Article
- Homologous Quorum Sensing Regulatory Circuit: A Dual-Input Genetic Controller for Modulating Quorum Sensing-Mediated Protein Expression inACS synthetic biology · 2020Article
- Spatial Patterns of Gene Expression in Bacterial Genomes.Journal of molecular evolution · 2020Article
- Data-driven statistical modeling of the emergent behavior of biohybrid microrobots.APL bioengineering · 2020Article
- Insignificant Impact of Chemotactic Responses ofMembranes · 2019Article
- Plasmid-encoded protein attenuates Escherichia coli swimming velocity and cell growth, not reprogrammed regulatory functions.Biotechnology progress · 2019Article
- Species-specific enhancement of enterohemorrhagic E. coli pathogenesis mediated by microbiome metabolites.Microbiome · 2019Article
- Engineering bacterial motility towards hydrogen-peroxide.PloS one · 2018Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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