Figure legends
Figure 1 Geographic distribution of the cpDNA haplotypes in 18 natural populations of Cerasus serrulata .
Figure 2 TCS network of cpDNA haplotypes in 18 natural populations ofCerasus serrulata . Each numbered circle (H1-H19) represents a unique haplotype, and the size of the circle is proportional to the overall frequency of each haplotype in the entire sample of the species
Figure 3 Cladograms of the cpDNA haplotypes of Cerasus serrulata . Numbers at nodes indicate values of Bayesian posterior probability (>0.5)/MP bootstrap percentage (>50%)/ML bootstrap percentage (>50%).
Figure 4 Geographic distribution of the ribotypes based on ITS sequences in 18 natural populations of Cerasus serrulata .
Figure 5 TCS network of the ribotypes based on ITS sequences in 18 natural populations of Cerasus serrulata . Each numbered circle (R1–R9) represents a unique ribotype, and the size of the circle is proportional to the overall frequency of each ribotype in the entire sample of the species
Figure 6 Cladograms of the ribotypes based on ITS sequences ofCerasus serrulata . Numbers at nodes indicate values of Bayesian posterior probability (>0.5)/MP bootstrap percentage (>50%)/ML bootstrap percentage (>50%).
Figure7 BEAST-derived chronograms of Cerasus serrulata based on cpDNA sequences. Numbers at each node indicate the node age (million years ago, Mya). Critical nodes are marked in red circles and their node ages are enlarged in red squares. The blue bars illustrate the extent of the 95% highest posterior density (HPD) credibility intervals for each divergence time.
Figure 8 Mismatch distribution for the four geographic groups and all populations of Cerasus serrulata . The blue line shows observed values (Obs.) while the red line represents the expected values (Exp.) under a model of sudden expansion/spatial expansion.
Figure 9 Cladograms of Cerasus serrulata complex based on ITS sequence, taking C. sargentii , C. speciosa ,C. jamasakura , C. yedoensis , C. subhirtella ,C. tomentosa and Prunus salicina as outgroups. Numbers at nodes indicate values of Bayesian posterior probability (>0.5)/MP bootstrap percentage (>50%)/ML bootstrap percentage (>50%).