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突变率推断的改进:II. 针对实际细胞周期时间分布的鲁里亚-德尔布吕克分布的推广

Improved inference of mutation rates: II. Generalization of the Luria-Delbrück distribution for realistic cell-cycle time distributions.

作者信息

Oprea M, Kepler T B

机构信息

Department of Computer Science, University of New Mexico, Albuquerque, New Mexico 87545, USA.

出版信息

Theor Popul Biol. 2001 Feb;59(1):49-59. doi: 10.1006/tpbi.2000.1504.

Abstract

In the first paper of this series (Kepler and Oprea, Theor. Popul. Biol. 2001) we found a continuum approximation of the Luria-Delbrück distribution in terms of a scaled variable related to the proportion of mutants in the culture. Here we show that the Luria-Delbrück distribution is inaccurate when realistic division processes are being considered due to the non-Markovian character of the cell cycle. We derive the expectation of the proportion of mutants in the culture for arbitrary cell-cycle time distributions. We then introduce a two-parameter generalization of the continuum Luria-Delbrück distribution for two of the more commonly used cell-cycle time distributions: gamma and shifted exponential. We obtain the generalized distribution by defining a map from the actual parameters to "effective" parameters. The effective mutation rate is obtained analytically, while the effective population size is obtained by fitting simulation data. Our simulations show that the second parameter depend mostly on the coefficient of variation of the cell-cycle time distribution.

摘要

在本系列的第一篇论文中(开普勒和奥普雷亚,《理论种群生物学》,2001年),我们根据与培养物中突变体比例相关的一个标度变量,找到了卢里亚 - 德尔布吕克分布的连续近似。在这里我们表明,由于细胞周期的非马尔可夫特性,当考虑实际的分裂过程时,卢里亚 - 德尔布吕克分布是不准确的。我们推导了任意细胞周期时间分布下培养物中突变体比例的期望值。然后,对于两种更常用的细胞周期时间分布:伽马分布和移位指数分布,我们引入了连续卢里亚-德尔布吕克分布的双参数推广。我们通过定义一个从实际参数到“有效”参数的映射来获得广义分布。有效突变率通过解析得到,而有效种群大小通过拟合模拟数据获得。我们的模拟表明第二个参数主要取决于细胞周期时间分布的变异系数。

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