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A branching model for intergenerational telomere length dynamics.

Athanasios Benetos1,2, Olivier Coudray3, Anne Gégout-Petit3

  • 1Université de Lorraine, Inserm, DCAC, 54000, Nancy, France.

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Summary
This summary is machine-generated.

This study models telomere length evolution across generations using a branching process. Numerical simulations explore how biological factors influence this genetic trait over time.

Keywords:
Aged structured modelBranching processesPopulation dynamicsQuasi-stationary distributionsTelomeres dynamics

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Area of Science:

  • Population Genetics
  • Evolutionary Biology
  • Computational Biology

Background:

  • Telomere length is a critical factor in cellular aging and organismal lifespan.
  • Understanding the evolutionary dynamics of telomere length is essential for comprehending population-level aging processes.

Purpose of the Study:

  • To develop and analyze an agent-based model simulating telomere length evolution in a population.
  • To investigate the Malthusian parameters of this evolutionary model.
  • To explore the impact of key biological parameters on telomere length dynamics.

Main Methods:

  • Construction of an individual-based model utilizing a continuous-time typed branching process.
  • Incorporation of individual traits such as gamete mean telomere length and age.
  • Application of numerical simulations to analyze model behavior.

Main Results:

  • The model exhibits Malthusian behavior, reflecting population growth dynamics influenced by telomere length.
  • Numerical simulations demonstrate the significant influence of specific biological parameters on telomere length evolution.
  • The study provides insights into the intergenerational transmission and variation of telomere length.

Conclusions:

  • The developed branching process model offers a robust framework for studying telomere length evolution.
  • Biologically relevant parameters play a crucial role in shaping population-level telomere length trends.
  • This research contributes to a deeper understanding of the genetic and evolutionary basis of aging.