How many marker loci are necessary? Analysis of dominant marker data sets using two popular population genetic algorithms.

ABSTRACT: The number of marker loci required to answer a given research question satisfactorily is especially important for dominant markers since they have a lower information content than co-dominant marker systems. In this study, we used simulated dominant marker data sets to determine the number of dominant marker loci needed to obtain satisfactory results from two popular population genetic analyses: STRUCTURE and AMOVA (analysis of molecular variance). Factors such as migration, level of population differentiation, and unequal sampling were varied in the data sets to mirror a range of realistic research scenarios. AMOVA performed well under all scenarios with a modest quantity of markers while STRUCTURE required a greater number, especially when populations were closely related. The popular ΔK

SUBMITTER: Nelson MF 

PROVIDER: S-EPMC3797491 | biostudies-literature | 2013 Sep

REPOSITORIES: biostudies-literature