A branching model for intergenerational telomere length dynamics.

IF 2.3 4区数学 Q2 BIOLOGY

Journal of Mathematical Biology Pub Date : 2025-01-26 DOI:10.1007/s00285-025-02185-1

Athanasios Benetos, Olivier Coudray, Anne Gégout-Petit, Lionel Lenôtre, Simon Toupance, Denis Villemonais

引用次数: 0

Abstract

We build and study an individual based model of the telomere length's evolution in a population across multiple generations. This model is a continuous time typed branching process, where the type of an individual includes its gamete mean telomere length and its age. We study its Malthusian's behaviour and provide numerical simulations to understand the influence of biologically relevant parameters.

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代际端粒长度动力学的分支模型。

我们建立并研究了一个基于个体的端粒长度的进化模型，该模型在一个种群中跨越多代。该模型是一个连续的时间型分支过程，其中个体的类型包括配子平均端粒长度和年龄。我们研究其马尔萨斯行为，并提供数值模拟，以了解生物学相关参数的影响。

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

Journal of Mathematical Biology 生物-生物学

CiteScore

3.30

自引率

5.30%

发文量

120

审稿时长

6 months

期刊介绍： The Journal of Mathematical Biology focuses on mathematical biology - work that uses mathematical approaches to gain biological understanding or explain biological phenomena. Areas of biology covered include, but are not restricted to, cell biology, physiology, development, neurobiology, genetics and population genetics, population biology, ecology, behavioural biology, evolution, epidemiology, immunology, molecular biology, biofluids, DNA and protein structure and function. All mathematical approaches including computational and visualization approaches are appropriate.