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To investigate the population genetic new balance golf shoes structure in more quantitative detail we performed several rounds of AMOVA, employing different geographic clustering strategies. In the first stage, when only South American pumas were analyzed, ¦ st values were quite high and statistically significant, with strategy 1c yielding the highest overall ¦ st ( Table 3 ).

In the second round of AMOVA, using the full sample set, we found even higher ¦ st values. The highest overall value was obtained with strategy 2d, employing a two-level AMOVA new balance 420 ( Table 3 ). Central America was best represented as two distinct groups, northern and southern, with the former being merged with North America.

In the best two-level new balance cricket shoes scenario (see Table 3 ), we also noted that the ¦ sc and ¦ ct were 0.41904 (p = 0.000±0.000) and 0.43693 (p = 0.01871 "0.00135), respectively. Pairwise estimates of ¦ st were carried out at the various spatial scales tested in these scenarios, and helped assess the distinctiveness of large-scale as well as regional population units new balance black shoes ( Tables S4 and S5 ).

Bayesian Skyline plots derived from an alignment of puma ND5 sequences. In (A) the analysis was run for all puma samples, and in (B) for South American pumas only. The thick solid line represents the mean, while the 95% HPD (highest posterior density) limits are shown by the blue areas. The vertical dashed lines refer to the t MRCA , with the thin line new balance shoes golf indicating the lower 95% HPD limit, and the thick line representing the mean.

The x-axis is depicted on a scale of millions of years (myr). The y-axis represents the effective population size (N e ) multiplied by the generation time (also in myr). Assuming a generation time of 5 years, the numbers on this axis should be multiplied by 200,000 to yield interpretable values.

When subcontinental or regional groups of pumas were compared, we observed that haplotype and nucleotide diversity indices were consistently higher for South and Central America, relative to those estimated for North America ( Table 2 ).