作者
Matthew D Egbert, Xabier E Barandiaran, Ezequiel A Di Paolo
发表日期
2010/12/2
期刊
PLoS Computational Biology
卷号
6
期号
12
页码范围
e1001004
出版商
Public Library of Science
简介
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.
引用总数
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学术搜索中的文章
MD Egbert, XE Barandiaran, EA Di Paolo - PLoS Computational Biology, 2010