Table 1.
Mean and range for the traits measured in the eggplant accessions originating from China, Spain, and Sri Lanka used for the present study, and probability of the F-statistic, obtained from ANOVA analyses, for differences among means.
Figure 1.
PCA relationships between morphological traits.
The two first components (PC1 and PC2) of the principal components analysis account for 22.9% and 16.2% of the total variation, respectively. Results were obtained after the characterization of 52 S. melongena accessions from China, Spain, and Sri Lanka using 28 morphological descriptors (see text and Table 2).
Figure 2.
PCA morphology-based relationships between accessions.
A total of 52 S. melongena accessions from China (white squares), Spain (grey triangles), and Sri Lanka (black circles) (Table 1) were morphologically evaluated with 28 morphological traits (see text and Table 2) and were represented on the two first components (PC1 and PC2) of the principal components analysis (22.9% and 16.2% of the total variation explained by the first and second component, respectively).
Table 2.
SSR markers, number of alleles per locus for all the samples and for each origin (China, Spain, and Sri Lanka), number of private alleles (i.e., present in one or more accessions of each origin), and PIC value for each SSR locus.
Figure 3.
SSR alleles in the different origins.
The figures indicate the number of SSR alleles private to each of the secondary centers of diversity, as well as the number of alleles shared by accessions from two or the three different origins.
Figure 4.
PCA SSR-based relationships between accessions.
A total of 52 S. melongena accessions from China (white squares), Spain (grey triangles), and Sri Lanka (black circles) (see Table 1) were evaluated using 12 polymorphic SSRs (see text and Tables 3 and 5) and were represented on the three first components (PC1, PC2 and PC3) of the principal components analysis (22.0%, 19.1%, and 17.9% of the total variation explained by the first, second, and third principal components, respectively). Scatterplots show the projections of the accessions on the first and second principal components (above) and on the first and third principal components (below).
Figure 5.
Assignment tests of accessions to populations.
The estimated number of populations (parameter K) was set to 3 in the STRUCTURE software (Pritchard et al., 2000). Accessions are organized according to their origin (China, Spain, and Sri Lanka). The three populations are named according to the origin of the majority of the accessions constituting each population (CH for China, SP for Spain, and SL for Sri Lanka). Each accession is represented by a horizontal line, which is partitioned into colored segments (white for the CH population, grey for the SP population, and black for the SL population).
Table 3.
Total genetic diversity (HT), among groups genetic diversity (DST), within groups genetic diversity (HS), relative magnitude of genetic differentiation (GST) and standarized GST (G’ST), estimated from SSR data for the eggplant accessions according to their origin.
Table 4.
SSR-based estimates of genetic distances (above the diagonal) and genetic identities (below the diagonal) between different eggplant origins.
Table 5.
Plant materials used for the study of morphological and molecular (SSR) variation of a collection of eggplants from China, Spain, and Sri Lanka.
Table 6.
Morphological traits measured in a scale with pre-determined values of the descriptor states, and description of the scale used for the study of morphological variation in the eggplant accessions studied [4], [19], [30].
Table 7.
Primer sequences, expected size, annealing temperature, linkage group, and map position [35], [39] of the twelve SSR markers used for molecular characterization of the materials studied.