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All the clusters identified using the SSR set contained more accessions compared to those defined based on the SNP set, with the greatest differences observed for groups VV1 (129) vs. VV1I (51) and VV4 (112) vs. VV4I (52) (Additional file 1: Table S7).
However, almost half of the accessions grouped in each Sativa cluster using the SNP set were also grouped accordingly when using the SSR set.
Using the SSR set, a subsequent round (second round) of STRUCTURE separated most of the Sativa accessions from the group of Sylvestris.
The hierarchical STRUCTURE analysis grouped wild grapevines into a genetically distinct cluster, which, however, included some Sativa accessions (4 using the SSR set and 6 using the SNP set), while no additional subdivision of the cluster was detected.
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Furthermore, the genetic distance among the parents was determined using the SSR and RAPD molecular markers.
Despite the previously observed bad performance of some SSR loci (Table 1), GLM analysis performed better when using the complete set of SSRs than when removing the problematic loci.
The results obtained using the two sets of markers (all SSRs and 24 SSRs under the assumption of neutrality) were congruent for all diversity estimators.
Similarly, results using 9 SSRs were compared to those obtained using the set of 25 markers used for kinship estimation (see Material and Methods).
Very similar FST values were also found when considering all the accessions, grouped using the SNP and SSR marker sets separately (data not shown).
Here we used the same set of AFLP, Myb and SSRs data to estimate both K and Q.
Using the 53 random SSR markers identified two major subpopulations.
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