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A phylogenetic method linking nucleotide substitution rates to rates of continuous trait evolution.
Gemmell, Patrick; Sackton, Timothy B; Edwards, Scott V; Liu, Jun S.
Afiliação
  • Gemmell P; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America.
  • Sackton TB; Department of Statistics, Harvard University, Cambridge, Massachusetts, United States of America.
  • Edwards SV; FAS Informatics Group, Harvard University, Cambridge, Massachusetts, United States of America.
  • Liu JS; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America.
PLoS Comput Biol ; 20(4): e1011995, 2024 Apr.
Article em En | MEDLINE | ID: mdl-38656999
ABSTRACT
Genomes contain conserved non-coding sequences that perform important biological functions, such as gene regulation. We present a phylogenetic method, PhyloAcc-C, that associates nucleotide substitution rates with changes in a continuous trait of interest. The method takes as input a multiple sequence alignment of conserved elements, continuous trait data observed in extant species, and a background phylogeny and substitution process. Gibbs sampling is used to assign rate categories (background, conserved, accelerated) to lineages and explore whether the assigned rate categories are associated with increases or decreases in the rate of trait evolution. We test our method using simulations and then illustrate its application using mammalian body size and lifespan data previously analyzed with respect to protein coding genes. Like other studies, we find processes such as tumor suppression, telomere maintenance, and p53 regulation to be related to changes in longevity and body size. In addition, we also find that skeletal genes, and developmental processes, such as sprouting angiogenesis, are relevant.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Filogenia / Evolução Molecular / Modelos Genéticos Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Filogenia / Evolução Molecular / Modelos Genéticos Idioma: En Ano de publicação: 2024 Tipo de documento: Article