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%).