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We have presented a new approach to non-parametric inference of demographic history from an inferred genealogy.
In essence, inference of demographic history could be a statistical procedure.
The inference of demographic history of related population(s) plays a vital role for these aims, for the reason that a proper inferred model could offer a null hypothesis for expectation of neutrality (Nielsen et al., 2007).
Finally, I discuss the implications of linked selection for inference of demographic history in plants.
Population substructuring within each of these regions could affect inference of demographic parameters in several ways.
SUMMARY statistics of genetic variation play a vital role in population genetic studies, especially inference of demographic history.
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Unfortunately, inferences of demographic parameters based on the above mentioned loci may be unreliable due to the possible confounding effects of natural selection or evolutionary stochasticity (for the haploid loci), or uncertainty in our understanding of mutation rates or the underlying mutation process (for mtDNA and microsatellites) [1], [3].
In this study, we investigated the effects of this selection bias on inferences of demographic history using an empirical example from cattle.
A large panel of SNPs should therefore detect weak genetic structure caused by recent ecological and evolutionary processes [ 8] and provide reliable inferences of demographic history [ 22].
Both fine scale sampling and the delimitation of units in this study will enable inferences of demographic patterns at regional scales, contributing to a better understanding and hypothesis testing of the microevolutionary processes affecting the R. crucifer group.
Such a set of well-defined evolutionary pathways will provide increased power in making inferences of demographic history, and be useful in clarifying the precise mechanisms of molecular evolution.
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CEO of Professional Science Editing for Scientists @ prosciediting.com