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Multiplicative versus additive selection in relation to genome evolution: a simulation study.

G Piganeau1, R Westrelin, B Tourancheau

  • 1Centre National de la Recherche Scientifique, Unité Mixte de Recherche 5558, Biométrie et Biologie Evolutive, Université Claude Bernard Lyon 1, 43 boulevard du 11 novembre 1918, 69622 Villeurbanne, France. piganeau@biomserv.univ-lyon1.fr

Genetical Research
|December 6, 2001
PubMed
Summary
This summary is machine-generated.

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Molecular evolution of traits like codon usage can result from mutation and selection. However, selection

Area of Science:

  • Evolutionary biology
  • Molecular evolution
  • Genomics

Background:

  • Molecular quantitative traits evolve due to mutation and selection.
  • Modeling selection-directed genome evolution is computationally intensive.
  • Understanding the interplay of mutation and selection is key to evolutionary genomics.

Purpose of the Study:

  • Investigate the evolution of optimal codon frequency.
  • Analyze the effects of additive and multiplicative selection on linked codons.
  • Assess the efficacy of selection in genome evolution.

Main Methods:

  • Developed models for additive and multiplicative effects of linked codons.
  • Analyzed the impact of the number of selected sites relative to effective population size.

Related Experiment Videos

  • Discussed implications for vertebrate isochore evolution.
  • Main Results:

    • Additive selective effects are ineffective when the number of selected sites exceeds the effective population size.
    • This limitation is relevant given current molecular data on population sizes.
    • The findings challenge assumptions about selection's role in certain genomic contexts.

    Conclusions:

    • Selection's effectiveness in driving genome evolution is constrained by population size and the number of selected sites.
    • The study provides insights into the evolution of molecular traits and genomic structures like isochores.
    • Highlights the importance of considering population genetics in molecular evolution models.