Difference between revisions of "Relationship between cellular response and behavioral variability in bacterial chemotaxis"

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transparent plane (z ϭ Ϫ0.1 mm) there is no nutrient, and bacteria perform an
 
transparent plane (z ϭ Ϫ0.1 mm) there is no nutrient, and bacteria perform an
 
unbiased random walk. Above the plane the random walk is biased upward
 
unbiased random walk. Above the plane the random walk is biased upward
the gradient of aspartate."]
+
the gradient of aspartate."]]
 
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Revision as of 02:17, 14 September 2010

Original Entry: Tom Dimiduk APPHY, Fall 2010

Relationship between cellular response and behavioral variability in bacterial chemotaxis Thierry Emonet† and Philippe Cluzel Proceedings of the National Academy of Sciences

Soft Matter Keywords

Random Walk, Fluctuation Dissipation, Population Behavior

Summary

This article discusses how amplification of noise in an enzyme system is used to drive the bacteria's stochastic response to nutrient gradients. The authors find that hypersensitivity to these fluctuations actually provides beneficial behaviors both for allowing single bacteria to progress rapidly up gradients and for allowing populations to explore a large area. Finally, the dynamics of bacteria in response to stimulus can be inferred from their spontaneous fluctuations in the absence of stimuli.

Soft Matter Discussion

This paper presents only computational results, so take that into consideration when considering these results.

The first portion of their results is a lengthy discussion of enzyme dynamics which is of little interest from a soft matter perspective. The important result is that increasing expression of the CheY-P kinase reduces fluctuations in control loops (Figure 3), reducing the power spectrum of the "output" (related to lengths of bacterial "runs").

Figure 3: "Power spectra of the fluctuations of the output signal (CheY-P) from nonstimulated cells. Shown are 1-fold (black), 2-fold (gray), and 4-fold (light gray) wild-type levels of CheR for a fixed wild-type level of [CheB]".

They observe that increasing CheY-P, and thus decreasing fluctuations, reduces the rate at which the bacteria progress (Figure 4), by shortening the length of runs while going up a gradient.

Figure 4: "Relationship between relaxation time and chemotactic drift. (A) Temporal evolution of the kinase activity relative to steady state upon sudden deactivation of active receptor complexes for 1-fold (black), 2-fold (gray), and 4-fold (light gray) wild-type level of [CheR] and fixed wild-type level of [CheB]. ... (B) Role of the relaxation time in chemotaxis. Cells with longer relaxation time swim farther along the gradient of attractant (gray shade). ... (C) Effect of variations of [CheR] on the chemotactic response of a bacterial population of 400 cells. ... (D) Position of the cells from C with 1-fold (blue) and 4-fold (green) wild-type level of CheR after 12 min. Below the gray transparent plane (z ϭ Ϫ0.1 mm) there is no nutrient, and bacteria perform an unbiased random walk. Above the plane the random walk is biased upward the gradient of aspartate."

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