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Using Computer Simulation to Understand Mutation Accumulation Dynamics and Genetic Load

  • John Sanford
  • John Baumgardner
  • Wes Brewer
  • Paul Gibson
  • Walter ReMine
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4488)

Abstract

Long-standing theoretical concerns about mutation accumulation within the human population can now be addressed with numerical simulation. We apply a biologically realistic forward-time population genetics program to study human mutation accumulation under a wide-range of circumstances. Using realistic estimates for the relevant biological parameters, we investigate the rate of mutation accumulation, the distribution of the fitness effects of the accumulating mutations, and the overall effect on mean genotypic fitness. Our numerical simulations consistently show that deleterious mutations accumulate linearly across a large portion of the relevant parameter space. This appears to be primarily due to the predominance of nearly-neutral mutations. The problem of mutation accumulation becomes severe when mutation rates are high. Numerical simulations strongly support earlier theoretical and mathematical studies indicating that human mutation accumulation is a serious concern. Our simulations indicate that reduction of mutation rate is the most effective means for addressing this problem.

Keywords

genetic load Mendel’s Accountant mutation accumulation population genetics simulation 

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • John Sanford
    • 1
  • John Baumgardner
    • 2
  • Wes Brewer
    • 3
  • Paul Gibson
    • 4
  • Walter ReMine
    • 5
  1. 1.Dept. Hort. Sci., Cornell University, Geneva, NY, 14456USA
  2. 2.Los Alamos National Laboratory, Los Alamos, NM, retiredUSA
  3. 3.Computational Engineering, Mississippi State University, MSUSA
  4. 4.Dept. Plant, Soil and Agric. Syst., Southern Illinois University, Carbondale, ILUSA
  5. 5.Science and Math Dept., Northwestern College, St. Paul, MNUSA

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