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Evolution of response dynamics underlying bacterial chemotaxis
Authors
A Celani
AA Chernova
+48 more
AL DeFranco
BL Taylor
CR Darwin
CV Rao
CV Rao
D Bray
DA Clark
E Korobkova
G Alexandre
HC Berg
HL Packer
J Stock
JE Segall
JP Armitage
K Bergman
K Wuichet
M Montrone
M Schnitzer
MA Muskavitch
MD Egbert
N Barkai
N Vladimirov
Orkun S Soyer
OS Soyer
P Cluzel
PA Hamblin
PG de Gennes
PS Poole
R Barak
R Götz
R Hamer
R Schmitt
RA Goldstein
Richard A Goldstein
S Khan
SJ Gould
SL Porter
SL Porter
SM Block
T Emonet
T Melton
TM Yi
V Sourjik
V Sourjik
WD Hoff
WF Doolittle
Y Jeziore-Sassoon
Y Kafri
Publication date
1 January 2011
Publisher
BioMed Central
Doi
View
on
PubMed
Abstract
© 2011 Soyer and Goldstein; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.Background: The ability to predict the function and structure of complex molecular mechanisms underlying cellular behaviour is one of the main aims of systems biology. To achieve it, we need to understand the evolutionary routes leading to a specific response dynamics that can underlie a given function and how biophysical and environmental factors affect which route is taken. Here, we apply such an evolutionary approach to the bacterial chemotaxis pathway, which is documented to display considerable complexity and diversity.Results: We construct evolutionarily accessible response dynamics starting from a linear response to absolute levels of attractant, to those observed in current-day Escherichia coli. We explicitly consider bacterial movement as a two-state process composed of non-instantaneous tumbling and swimming modes. We find that a linear response to attractant results in significant chemotaxis when sensitivity to attractant is low and when time spent tumbling is large. More importantly, such linear response is optimal in a regime where signalling has low sensitivity. As sensitivity increases, an adaptive response as seen in Escherichia coli becomes optimal and leads to 'perfect' chemotaxis with a low tumbling time. We find that as tumbling time decreases and sensitivity increases, there exist a parameter regime where the chemotaxis performance of the linear and adaptive responses overlap, suggesting that evolution of chemotaxis responses might provide an example for the principle of functional change in structural continuity.Conclusions: Our findings explain several results from diverse bacteria and lead to testable predictions regarding chemotaxis responses evolved in bacteria living under different biophysical constraints and with specific motility machinery. Further, they shed light on the potential evolutionary paths for the evolution of complex behaviours from simpler ones in incremental fashion
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