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The set of sorted exact positions can be found by pairing up both sets of marker positions via a minimum distance function.
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Both sets of markers genes were at a 0.5 significance level.
Both sets of markers performed well, although PCAIMs perform better than AIMs.
We have not detected any similarity between both sets of markers.
Interestingly, we do not find any conflict within our RP dataset, but all incongruence is between both sets of markers.
High PCR amplification efficiencies were found in the F2 families for both sets of markers, GSSRs (83%) and BSSRs (87%).
A key example of this is the performance of both sets of markers when predicting Finnish samples; AIMs predict no samples correctly, even at larger numbers of markers.
Both sets of markers supported the monophyly of the northern swordtails, however, internal relationships were not clearly resolved in whole species phylogenies.
Both sets of markers were useful in separating the Andean and Mesoamerican genepool and accurately placing the wild accessions within each genepool.
Genetic structure was tested with AMOVA on the genetic distance matrix (9999 permutations) produced for both sets of markers (Weir 1996).
Estimates of the parameters and values of autocorrelation and ESS Effective Sampling Sizee) are listed for the three final runs performed for both sets of markers (Table 1 for mtDNA control region data set and Table 2 for the eight microsatellite dataset).
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