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How evolution of genomes is reflected in exact DNA sequence match statistics.
Massip, Florian; Sheinman, Michael; Schbath, Sophie; Arndt, Peter F.
Afiliación
  • Massip F; Department for Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Ihnestrasse 63-73, 14195 Berlin, Germany UR1077, Unite Mathematiques Informatique et Genome, INRA, domaine de Vilvert, Jouy-en-Josas, France florian.massip@jouy.inra.fr.
  • Sheinman M; Department for Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Ihnestrasse 63-73, 14195 Berlin, Germany.
  • Schbath S; UR1077, Unite Mathematiques Informatique et Genome, INRA, domaine de Vilvert, Jouy-en-Josas, France.
  • Arndt PF; Department for Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Ihnestrasse 63-73, 14195 Berlin, Germany.
Mol Biol Evol ; 32(2): 524-35, 2015 Feb.
Article en En | MEDLINE | ID: mdl-25398628
Genome evolution is shaped by a multitude of mutational processes, including point mutations, insertions, and deletions of DNA sequences, as well as segmental duplications. These mutational processes can leave distinctive qualitative marks in the statistical features of genomic DNA sequences. One such feature is the match length distribution (MLD) of exactly matching sequence segments within an individual genome or between the genomes of related species. These have been observed to exhibit characteristic power law decays in many species. Here, we show that simple dynamical models consisting solely of duplication and mutation processes can already explain the characteristic features of MLDs observed in genomic sequences. Surprisingly, we find that these features are largely insensitive to details of the underlying mutational processes and do not necessarily rely on the action of natural selection. Our results demonstrate how analyzing statistical features of DNA sequences can help us reveal and quantify the different mutational processes that underlie genome evolution.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Genoma / Genómica Tipo de estudio: Prognostic_studies / Qualitative_research Límite: Animals / Humans Idioma: En Revista: Mol Biol Evol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2015 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Genoma / Genómica Tipo de estudio: Prognostic_studies / Qualitative_research Límite: Animals / Humans Idioma: En Revista: Mol Biol Evol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2015 Tipo del documento: Article País de afiliación: Francia Pais de publicación: Estados Unidos