Title |
A Minimal Model of Metabolism-Based Chemotaxis
|
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Published in |
PLoS Computational Biology, December 2010
|
DOI | 10.1371/journal.pcbi.1001004 |
Pubmed ID | |
Authors |
Matthew D. Egbert, Xabier E. Barandiaran, Ezequiel A. Di Paolo |
Abstract |
Since the pioneering work by Julius Adler in the 1960's, bacterial chemotaxis has been predominantly studied as metabolism-independent. All available simulation models of bacterial chemotaxis endorse this assumption. Recent studies have shown, however, that many metabolism-dependent chemotactic patterns occur in bacteria. We hereby present the simplest artificial protocell model capable of performing metabolism-based chemotaxis. The model serves as a proof of concept to show how even the simplest metabolism can sustain chemotactic patterns of varying sophistication. It also reproduces a set of phenomena that have recently attracted attention on bacterial chemotaxis and provides insights about alternative mechanisms that could instantiate them. We conclude that relaxing the metabolism-independent assumption provides important theoretical advances, forces us to rethink some established pre-conceptions and may help us better understand unexplored and poorly understood aspects of bacterial chemotaxis. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Japan | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United Kingdom | 4 | 4% |
United States | 4 | 4% |
Germany | 3 | 3% |
Netherlands | 1 | <1% |
Russia | 1 | <1% |
India | 1 | <1% |
Japan | 1 | <1% |
Spain | 1 | <1% |
Unknown | 94 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 37 | 34% |
Researcher | 25 | 23% |
Student > Master | 8 | 7% |
Student > Postgraduate | 6 | 5% |
Professor | 5 | 5% |
Other | 17 | 15% |
Unknown | 12 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 32 | 29% |
Biochemistry, Genetics and Molecular Biology | 12 | 11% |
Philosophy | 11 | 10% |
Physics and Astronomy | 10 | 9% |
Engineering | 7 | 6% |
Other | 22 | 20% |
Unknown | 16 | 15% |