A significant among-group (commercial varieties versus feral populations) component of genetic variation was observed (AMOVA: FCT = 0.132).
To measure the fraction of the observed genetic variation explained by the inferred clusters, we used the parameter FST, widely used to estimate the between populations component of variation [ 39] in population structure analyses.
Cities are characterized by a high level of complexity in settlement patterns, social organizations, population components, as well as life styles.
People are always moving from one place to another using the streets, but data are not officially collected on the population components of these movements.
Yet, at the same time, star clusters are among the brightest stellar population components and, as such, they are visible out to much greater distances than individual stars, even the brightest, so that understanding the intricacies of star cluster composition and their evolution is imperative for understanding stellar populations and the evolution of galaxies as a whole.
A hierarchical analysis of molecular variance (AMOVA) was conducted to partition the total genetic variance in among-region, among-population within region, and among-individual within population components using Arlequin [48].
Environmental nonO1-nonO139 isolagainagain constituted a heterogeneous population (components I, III, IV, V and VI), further supporting the dendrogram analysis.
Finally, analysis of molecular variance (AMOVA) was used to partition the variation among and within group (population) components [ 37].
Genetic variation was partitioned into within- and among-population components using an analysis of molecular variance (AMOVA; [ 90]).
For further analyses, we use the maximum-likelihood sample from the MCMC sampling, which has four ancestral population components.
