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Modeling of Mutational Events in the Evolution of Viruses.
Ali, Akhtar; Melcher, Ulrich.
Afiliación
  • Ali A; Department of Biological Sciences, University of Tulsa, Tulsa, OK 74104, USA. akhtar-ali@utulsa.edu.
  • Melcher U; Department of Biochemistry & Molecular Biology, Oklahoma State University, Stillwater, OK 74078-3035, USA. ulrich.melcher@okstate.edu.
Viruses ; 11(5)2019 05 05.
Article en En | MEDLINE | ID: mdl-31060293
ABSTRACT
Diverse studies of viral evolution have led to the recognition that the evolutionary rates of viral taxa observed are dependent on the time scale being investigated-with short-term studies giving fast substitution rates, and orders of magnitude lower rates for deep calibrations. Although each of these factors may contribute to this time dependent rate phenomenon, a more fundamental cause should be considered. We sought to test computationally whether the basic phenomena of virus evolution (mutation, replication, and selection) can explain the relationships between the evolutionary and phylogenetic distances. We tested, by computational inference, the hypothesis that the phylogenetic distances between the pairs of sequences are functions of the evolutionary path lengths between them. A Basic simulation revealed that the relationship between simulated genetic and mutational distances is non-linear, and can be consistent with different rates of nucleotide substitution at different depths of branches in phylogenetic trees.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Virus / Evolución Molecular / Mutación Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Viruses Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Virus / Evolución Molecular / Mutación Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Viruses Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos