Biology – Quantitative Biology – Molecular Networks
Scientific paper
2007-04-25
Biology
Quantitative Biology
Molecular Networks
14 pages, 5 figures, submitted to PLoS Computational Biology
Scientific paper
How can a microorganism adapt to a variety of environmental conditions despite there exists a limited number of signal transduction machineries? We show that for any growing cells whose gene expression is under stochastic fluctuations, adaptive cellular state is inevitably selected by noise, even without specific signal transduction network for it. In general, changes in protein concentration in a cell are given by its synthesis minus dilution and degradation, both of which are proportional to the rate of cell growth. In an adaptive state with a higher growth speed, both terms are large and balanced. Under the presence of noise in gene expression, the adaptive state is less affected by stochasticity since both the synthesis and dilution terms are large, while for a non-adaptive state both the terms are smaller so that cells are easily kicked out of the original state by noise. Hence, escape time from a cellular state and the cellular growth rate are negatively correlated. This leads to a selection of adaptive states with higher growth rates, and model simulations confirm this selection to take place in general. The results suggest a general form of adaptation that has never been brought to light - a process that requires no specific machineries for sensory adaptation. The present scheme may help explain a wide range of cellular adaptive responses including the metabolic flux optimization for maximal cell growth.
Furusawa Chikara
Kaneko Kunihiko
No associations
LandOfFree
A generic mechanism for adaptive growth rate regulation does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with A generic mechanism for adaptive growth rate regulation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A generic mechanism for adaptive growth rate regulation will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-707215