Title :
The case for large-size mutations
Abstract :
There are no laws of physics or chemistry that forbid large mutations. Therefore, the "size" of a random mutation should fit the mathematics of a Poisson point process: the number of mutations (N), versus mutation size (MS), should obey an exponential relationship. Three examples are examined: a simple 15-mutation sequence; actual experimental data involving a sequence of 56,611 random action potentials (rather than mutations); and a synthetic sequence of 65,535 random mutations. In the latter example, with an average MS of 2.22 units, the largest MS is a 25-unit giant that would be associated with major changes.
Keywords :
bioelectric potentials; evolution (biological); genetics; physiological models; stochastic processes; Poisson point process; exponential relationship; large-size mutations; mutation size; mutations number; random action potentials; random mutation; simple 15-mutation sequence; synthetic sequence; Biological system modeling; Chemistry; Computer aided software engineering; Evolution (biology); Genetic mutations; Mathematical model; Mathematics; Physics; Probes; Random sequences; Evolution, Molecular; Models, Genetic; Models, Statistical; Mutation; Poisson Distribution;
Journal_Title :
Biomedical Engineering, IEEE Transactions on