Our model of drift seems more relevant for prokaryotic data obtained using long isothermal probes.
Finally, the discussion of a "diffusion" model of drift was extremely confusing to me, and the fitted diffusion coefficients do not have a clear meaning or interpretation.
The diffusion model of drift provides an expression for u as a function of the population size N and selective coefficient s (see the Appendix).
The analyses here rely on the commonly used diffusion model of drift and selection in a population, based on the Wright-Fisher process [ 37, 38].
The key difference was that we here generated the neutral expectation through simulations under a Wright Fisher model of drift over time within a single population rather than as drift-migration equilibrium between multiple populations.
Briefly, this model is an extension of the Li Bulmer model of drift, selection, and reversible mutation between alleles in a diploid Wright Fisher population (Li 1987; Bulmer 1991).
Finally, another possible concern regarding EST-SSRs is that these often non-neutral loci might bias the estimates of population divergence under the assumption of a neutral model of drift, mutation and migration [ 21].
Again using the diffusion model of drift (see Appendix), the mean time spent by a mutant in the range of frequencies (a, b) (provided a is greater than the initial frequency), conditional on fixation, was found by Ewens [ 20] and by Maruyama [ 21] to be Figure 2 shows the two conservative models, corresponding to two different boundary values for (a, b).
While these changes could result from multiple selective events, they are more consistent with a model of drift where changes in expression occur randomly, and do not become fixed in any lineage because they have neutral or nearly neutral phenotypic effects.
The paper discusses high-order finite-volume numerical modeling of drift waves, which is an ubiquitous phenomenon in magnetized plasmas.
