DocumentCode :
3490890
Title :
Kinetics of muller´s ratchet from adaptive landscape viewpoint
Author :
Jiao, Shuyun ; Wang, Yanbo ; Yuan, Bo ; Ao, Ping
fYear :
2011
fDate :
2-4 Sept. 2011
Firstpage :
27
Lastpage :
32
Abstract :
Background: The accumulation of deleterious mutations of a population directly contributes to the fate as to how long the population would exist. Muller´s ratchet provides a quantitative framework to study the effect of accumulation. Adaptive landscape as a powerful concept in system biology provides a handle to describe complex and rare biological events. In this article we study the evolutionary process of a population exposed to Muller´s ratchet from the new viewpoint of adaptive landscape which allows us estimate the single click of the ratchet starting with an intuitive understanding. Methods: We describe how Wright-Fisher process maps to Muller´s ratchet. We analytically construct adaptive landscape from general diffusion equation. It shows that the construction is dynamical and the adaptive landscape is independent of the existence and normalization of the stationary distribution. We generalize the application of diffusion model from adaptive landscape viewpoint. Results: We develop a novel method to describe the dynamical behavior of the population exposed to Muller´s ratchet, and analytically derive the decaying time of the fittest class of populations as a mean first passage time. Most importantly, we describe the absorption phenomenon by adaptive landscape, where the stationary distribution is non-normalizable. These results suggest the method may be used to understand the mechanism of populations evolution and describe the biological processes quantitatively.
Keywords :
biodiffusion; cellular biophysics; genetics; physiological models; Mullers ratchet kinetics; Wright-Fisher process maps; absorption phenomenon; adaptive landscape; adaptive landscape viewpoint; biological processing; deleterious mutations; diffusion model; general diffusion equation; quantitative framework; stationary distribution; Adaptation models; Approximation methods; Educational institutions; Genetics; Mathematical model; Systems biology; Wright-Fisher process; adaptive landscape; mean first passage time; stationary distribution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Biology (ISB), 2011 IEEE International Conference on
Conference_Location :
Zhuhai
Print_ISBN :
978-1-4577-1661-4
Electronic_ISBN :
978-1-4577-1665-2
Type :
conf
DOI :
10.1109/ISB.2011.6033116
Filename :
6033116
Link To Document :
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