Bridging Wright–Fisher and Moran models

IF 1.9 4区 数学 Q2 BIOLOGY
Arthur Alexandre , Alia Abbara , Cecilia Fruet , Claude Loverdo , Anne-Florence Bitbol
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引用次数: 0

Abstract

The Wright–Fisher model and the Moran model are both widely used in population genetics. They describe the time evolution of the frequency of an allele in a well-mixed population with fixed size. We propose a simple and tractable model which bridges the Wright–Fisher and the Moran descriptions. We assume that a fixed fraction of the population is updated at each discrete time step. In this model, we determine the fixation probability of a mutant and its average fixation and extinction times, under the diffusion approximation. We further study the associated coalescent process, which converges to Kingman’s coalescent, and we calculate effective population sizes. We generalize our model, first by taking into account fluctuating updated fractions or individual lifetimes, and then by incorporating selection on the lifetime as well as on the reproductive fitness.
连接Wright-Fisher和Moran模型。
Wright-Fisher模型和Moran模型在群体遗传学中都有广泛的应用。他们描述了一个固定大小的混合良好的群体中等位基因频率的时间进化。我们提出了一个简单易行的模型,将Wright-Fisher和Moran的描述联系起来。我们假设在每个离散的时间步长,总体中有固定的一部分被更新。在该模型中,我们确定了在扩散近似下突变体的固定概率及其平均固定和消光时间。我们进一步研究了相关聚结过程,该过程收敛于Kingman聚结,并计算了有效种群大小。我们对模型进行了推广,首先考虑了波动的更新分数或个体寿命,然后结合了对寿命和生殖适合度的选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.20
自引率
5.00%
发文量
218
审稿时长
51 days
期刊介绍: The Journal of Theoretical Biology is the leading forum for theoretical perspectives that give insight into biological processes. It covers a very wide range of topics and is of interest to biologists in many areas of research, including: • Brain and Neuroscience • Cancer Growth and Treatment • Cell Biology • Developmental Biology • Ecology • Evolution • Immunology, • Infectious and non-infectious Diseases, • Mathematical, Computational, Biophysical and Statistical Modeling • Microbiology, Molecular Biology, and Biochemistry • Networks and Complex Systems • Physiology • Pharmacodynamics • Animal Behavior and Game Theory Acceptable papers are those that bear significant importance on the biology per se being presented, and not on the mathematical analysis. Papers that include some data or experimental material bearing on theory will be considered, including those that contain comparative study, statistical data analysis, mathematical proof, computer simulations, experiments, field observations, or even philosophical arguments, which are all methods to support or reject theoretical ideas. However, there should be a concerted effort to make papers intelligible to biologists in the chosen field.
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