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The solitary wave of asexual evolution

  1. Author:
    Rouzine, I. M.
    Wakeley, J.
    Coffin, J. M.
  2. Author Address

    Tufts Univ, Dept Mol Biol & Microbiol, Boston, MA 02111 USA Tufts Univ, Dept Mol Biol & Microbiol, Boston, MA 02111 USA Harvard Univ, Dept Organism & Evolutionary Biol, Cambridge, MA 02138 USA NCI, HIV Drug Resistance Program, Frederick, MD 21702 USA Rouzine IM Tufts Univ, Dept Mol Biol & Microbiol, Boston, MA 02111 USA
    1. Year: 2003
  1. Journal: Proceedings of the National Academy of Sciences of the United States of America
    1. 100
    2. 2
    3. Pages: 587-592
  2. Type of Article: Article
  1. Abstract:

    Using a previously undescribed approach, we develop an analytic model that predicts whether an asexual population accumulates advantageous or deleterious mutations over time and the rate at which either process occurs. The model considers a large number of linked identical loci, or nucleotide sites; assumes that the selection coefficient per site is much less than the mutation rate per genome; and includes back and compensating mutations. Using analysis and Monte Carlo simulations, we demonstrate the accuracy of our results over almost the entire range of population sizes. Two limiting cases of our results, when either deleterious or advantageous mutations can be neglected, correspond to the Fisher-Muller effect and Muller's ratchet, respectively. By comparing predictions of our model (no recombination) to those of simple single-locus models (strong recombination), we show that the accumulation of advantageous mutations is slowed by linkage over a broad, finite range of population size. This supports the view of Fisher and Muller, who argued in the 1930s that progressive evolution of organisms is slowed because loci at which beneficial mutations can occur are often linked together on the same chromosome. These results follow from our main finding, that distribution of sequences over the mutation number evolves as a traveling wave whose speed and width depend on population size and other parameters. The model explains a logarithmic dependence of steady-state fitness on the population size reported recently for an RNA virus.

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