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  3. Structural Mutations Set An Equilibrium Noncoding Genome Fraction.
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  3. Structural Mutations Set An Equilibrium Noncoding Genome Fraction.

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Structural Mutations Set an Equilibrium Noncoding Genome Fraction.

Juliette Luiselli1,2, Paul Banse3,4, Olivier Mazet5

  • 1INSA-Lyon, CNRS, Université Claude Bernard Lyon 1, ECL, Université Lumière Lyon 2, LIRIS UMR5205, Lyon F-69621, France.

Molecular Biology and Evolution
|November 28, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

Genome size evolution is driven by mutation biases and selection for robustness against DNA damage. These forces determine the equilibrium noncoding DNA fraction in genomes.

Keywords:
evolutiongenome sizemathematical modelingnoncoding genomestructural mutations

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Area of Science:

  • Evolutionary biology
  • Genomics
  • Mathematical modeling

Background:

  • The evolutionary pressures shaping noncoding genome size are not fully understood.
  • A significant portion of noncoding DNA lacks apparent function, challenging adaptationist theories.
  • Existing nonadaptive theories focus on mutational processes or hazards but lack integration.

Purpose of the Study:

  • To introduce a mathematical model for genome size evolution.
  • To identify the fundamental forces governing the noncoding genome fraction.
  • To integrate existing nonadaptive theories into a unified framework.

Main Methods:

  • Development of a simple mathematical model for genome size evolution.
  • Analysis of forces including mutational biases and robustness selection.
  • Modeling the impact of double-strand breaks on genome stability.

    • Main Results:

    • The noncoding genome fraction is determined by inherent mutation biases favoring neutral additions.
    • Robustness selection, driven by structural mutations in larger genomes, also shapes noncoding DNA.
    • An equilibrium noncoding fraction is established based on mutation biases and population-level factors.

    Conclusions:

    • Genome size evolution is influenced by both mutational neutrality biases and selection for robustness.
    • The model provides a unified framework for understanding noncoding DNA abundance.
    • Equilibrium noncoding fraction depends on mutation biases and the product of population size and mutation rate.