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Thus, the largest difference between the population genetic enviroments of the piRNA and CRISPR systems is the mutation rate since the phage can mutate at a much faster rate and evade CRISPR-mediated repression than transposable elements can evade piRNA-mediated repression.
As such, the effect of robustness indirectly depends on the mutation rate, since the latter affects the rate of adaptation.
A normally distributed prior with a mean of 0.007 and standard deviation of 0.0010 was used for the mean mutation rate, since it covered the plausible range of 0.70 0.86% substitutions per site per My, as discussed in [ 27].
The maximization of a 3-dimensional surface problem was used to test the efficiency of the new adaptive mutation rate since a GA implementing the 20% constant mutation rate does have 100% accuracy in the 3-dimensional maximization problem.
FQ resistance may also be associated with strains that intrinsically have a higher overall mutation rate, since the resistance to FQs in E. coli involves the accumulation of multiple spontaneously occurring point mutations in several genes (9, 11 ).
The N-queens problem was used specifically to test the accuracy of the new adaptive mutation rate since a GA implementing a constant mutation rate does not have 100% accuracy in the N-queens problem.
Similar(51)
The observed difference in rate of antigenic evolution between H3N2 and H1N1 is unlikely to reflect differences in these virus's mutation rates, since both are influenza A subtypes.
The effect of single mutations can be estimated in this way only for sufficiently small values of the mutation rate μ, since for relatively large values the probability of having two mutations in the same sequence becomes non-negligible.
In most systems, assessing genetic differences between strains at the time of introduction (or host species jump) can be challenging and requires a previous estimation of both mutation rate and time since introduction.
The Sudden Expansion Model assumes that initial population at equilibrium (of size: θ0) grew rapidly to a new size (θ1), mutational times ago: τ = 2 ut (u - mutation rate, t - time since the expansion in generation).
Since mutation rate drives carcinogenesis under the assumptions of somatic mutation theory, this result was expected.
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