The ancestral selection graph for a Λ-asymmetric Moran model

IF 1.2 4区 生物学 Q4 ECOLOGY
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Abstract

Motivated by the question of the impact of selective advantage in populations with skewed reproduction mechanisms, we study a Moran model with selection. We assume that there are two types of individuals, where the reproductive success of one type is larger than the other. The higher reproductive success may stem from either more frequent reproduction, or from larger numbers of offspring, and is encoded in a measure Λ for each of the two types. Λ-reproduction here means that a whole fraction of the population is replaced at a reproductive event. Our approach consists of constructing a Λ-asymmetric Moran model in which individuals of the two populations compete, rather than considering a Moran model for each population. Provided the measure are ordered stochastically, we can couple them. This allows us to construct the central object of this paper, the Λasymmetric ancestral selection graph, leading to a pathwise duality of the forward in time Λ-asymmetric Moran model with its ancestral process. We apply the ancestral selection graph in order to obtain scaling limits of the forward and backward processes, and note that the frequency process converges to the solution of an SDE with discontinuous paths. Finally, we derive a Griffiths representation for the generator of the SDE and use it to find a semi-explicit formula for the probability of fixation of the less beneficial of the two types.

Λ-不对称莫兰模型的祖先选择图。
受选择优势在繁殖机制倾斜的种群中的影响这一问题的启发,我们研究了带有选择的莫兰模型。我们假设存在两类个体,其中一类个体的繁殖成功率高于另一类个体。较高的繁殖成功率可能源于更频繁的繁殖,也可能源于更多的后代。这里的Λ-繁殖是指在一次繁殖活动中,种群的整数部分被替换。我们的方法是构建一个Λ-非对称莫兰模型,其中两个种群的个体相互竞争,而不是考虑每个种群的莫兰模型。只要量纲是随机排序的,我们就可以将它们耦合起来。这样,我们就可以构建本文的核心对象--Λ-非对称祖先选择图,从而实现时间上前向Λ-非对称莫兰模型与其祖先过程的路径对偶。我们应用祖先选择图来获得前向过程和后向过程的缩放极限,并注意到频率过程收敛于具有不连续路径的 SDE 的解。最后,我们推导出了 SDE 生成器的格里菲斯表示法,并利用它找到了两种类型中益处较小的固定概率的半明确公式。
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
Theoretical Population Biology
Theoretical Population Biology 生物-进化生物学
CiteScore
2.50
自引率
14.30%
发文量
43
审稿时长
6-12 weeks
期刊介绍: An interdisciplinary journal, Theoretical Population Biology presents articles on theoretical aspects of the biology of populations, particularly in the areas of demography, ecology, epidemiology, evolution, and genetics. Emphasis is on the development of mathematical theory and models that enhance the understanding of biological phenomena. Articles highlight the motivation and significance of the work for advancing progress in biology, relying on a substantial mathematical effort to obtain biological insight. The journal also presents empirical results and computational and statistical methods directly impinging on theoretical problems in population biology.
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