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Bayesian Markov chain Monte Carlo sequence analysis reveals varying neutral substitution patterns in mammalian evolution

Proc Natl Acad Sci U S A. 2004 Sep 28;101(39):13994-4001. doi: 10.1073/pnas.0404142101. Epub 2004 Aug 3.

Abstract

We describe a model of neutral DNA evolution that allows substitution rates at a site to depend on the two flanking nucleotides ("context"), the branch of the phylogenetic tree, and position within the sequence and implement it by using a flexible and computationally efficient Bayesian Markov chain Monte Carlo approach. We then apply this approach to characterize phylogenetic variation in context-dependent substitution patterns in a 1.7-megabase genomic region in 19 mammalian species. In contrast to other substitution types, CpG transition substitutions have accumulated in a relatively clock-like fashion. More broadly, our results support the notion that context-dependent DNA replication errors, cytosine deamination, and biased gene conversion are major sources of naturally occurring mutations whose relative contributions have varied in mammalian evolution as a result of changes in generation times, effective population sizes, and recombination rates.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Animals
  • Base Sequence
  • Bayes Theorem
  • Cats
  • Cattle
  • DNA / genetics*
  • Dogs
  • Evolution, Molecular*
  • Horses
  • Humans
  • Markov Chains
  • Mice
  • Models, Genetic*
  • Monte Carlo Method
  • Mutation
  • Phylogeny
  • Rabbits
  • Rats
  • Swine
  • Transcription, Genetic / genetics

Substances

  • DNA