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Simulating evolution by gene duplication.

T Ohta

    Genetics
    |January 1, 1987
    PubMed
    Summary
    This summary is machine-generated.

    Positive natural selection is crucial for evolving new gene functions within multigene families. Without it, detrimental mutations accumulate, hindering the development of novel, functional gene sets.

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    Area of Science:

    • Evolutionary genetics
    • Molecular evolution
    • Computational biology

    Background:

    • Multigene families evolve through mechanisms like unequal crossing over.
    • Understanding the origin of repetitive genes is key to evolutionary processes.

    Purpose of the Study:

    • To model the origin of repetitive genes using Monte Carlo simulations.
    • To investigate the roles of unequal crossing over, random drift, and natural selection in gene family evolution.
    • To assess the impact of beneficial and deleterious mutations on gene duplication.

    Main Methods:

    • Monte Carlo simulations were employed to model genetic system evolution.
    • The model started with a single gene copy and incorporated unequal crossing over, random drift, and natural selection.

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  • Both beneficial and deleterious mutations were simulated, with deleterious mutations occurring ten times more frequently.

    • Main Results:

    • Positive natural selection is essential for acquiring new gene functions; otherwise, pseudogenes accumulate excessively.
    • Unequal crossing over accelerates the evolutionary rate of gene families.
    • The genetic load for acquiring new genes is manageable under realistic parameters, contrary to some previous models.

    Conclusions:

    • New gene functions arise effectively through positive selection acting on duplicated genes.
    • The balance between mutation, selection, and recombination dictates the successful evolution of gene families.
    • Simulation results suggest a feasible pathway for gene family expansion and functional innovation.