The limits of chemosensation vary across dimensions

Bicknell, Brendan A., Dayan, Peter and Goodhill, Geoffrey J. (2015) The limits of chemosensation vary across dimensions. Nature Communications, 6 7468: 1-8. doi:10.1038/ncomms8468


Author Bicknell, Brendan A.
Dayan, Peter
Goodhill, Geoffrey J.
Title The limits of chemosensation vary across dimensions
Journal name Nature Communications   Check publisher's open access policy
ISSN 2041-1723
Publication date 2015-06-19
Year available 2015
Sub-type Article (original research)
DOI 10.1038/ncomms8468
Open Access Status DOI
Volume 6
Issue 7468
Start page 1
End page 8
Total pages 8
Place of publication London, United Kingdom
Publisher Nature Publishing Group
Collection year 2016
Language eng
Abstract Many biological processes rely on the ability of cells to measure local ligand concentration. However, such measurements are constrained by noise arising from diffusion and the stochastic nature of receptor–ligand interactions. It is thus critical to understand how accurately, in principle, concentration measurements can be made. Previous theoretical work has mostly investigated this in 3D under the simplifying assumption of an unbounded domain of diffusion, but many biological problems involve 2D concentration measurement in bounded domains, for which diffusion behaves quite differently. Here we present a theory of the precision of chemosensation that covers bounded domains of any dimensionality. We find that the quality of chemosensation in lower dimensions is controlled by domain size, suggesting a general principle applicable to many biological systems. Applying the theory to biological problems in 2D shows that diffusion-limited signalling is an efficient mechanism on time scales consistent with behaviour.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mathematics and Physics
Queensland Brain Institute Publications
Official 2016 Collection
 
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Citation counts: TR Web of Science Citation Count  Cited 7 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 6 times in Scopus Article | Citations
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