MOESM1 of Nuclear and chloroplast DNA phylogeography suggests an Early Miocene southward expansion of Lithocarpus (Fagaceae) on the Asian continent and islands

Additional file 1: Table S1. Collecting sites and distribution. Table S2. Best substitution models for the atpB-rbcL and ITS used in the Bayesian analyses. Table S3. T Statistical summary of asymmetric values for the among-lineage diversification rate variation in the phylogenetic topologies. Table S4. Testing for diversification rate variation models by ∆AICRC test statistic. Figure S1. The phylogenetic tree reconstructed by cpDNA atpB-rbcL spacer and nrITS under the Yule’s pure-birth speciation model. Samples that were identified as the same species but represented at different clades in the gene trees (supplementary) were separated to different OTUs. Bold lines indicate the lineages grouping with posterior probability > 80%; node labels are the splitting time (unit: mya); node bar is the 95% highest posterior density interval (HPD) of the splitting time. The nodes probably have diversification rate shift were labeled by nodes i and ii of cpDNA tree and nodes a and b of ntITS tree. The testing results of diversification-rate shift of descendents of nodes i, ii, a, and b inferred by delta-statistics were indicated in the inner table. Figure S2. Biogeographic inferences by cpDNA+nrITS (Fig. 2A). (A) Biogeographic inference under the DEC model. Lineages with bold and thin lines indicate the lineages derived from nodes (ancestral areas) with likelihood > 0.7 and > 0.5, respectively. Likelihood less than 0.5 are treated as unknown (black lineages). (B) Biogeographic inference under the S-DIVA model. The dispersal (d) or vicariance (v) events with a posterior probability > 0.5 are marked in the node. The yellow dots indicate the events of range transition inferred by both dispersal and vicariance events. The open dots indicate that thebiogeographic distribuion of deriving lineages were explained as consequences of dispersal events. Figure S3. Biogeographic inferences by cpDNA (Fig. 3). (A) Biogeographic inference under the DEC model. (B) Biogeographic inference under the S-DIVA model. Figure S4. Biogeographic inferences by nrITS (Fig. 4). (A) Biogeographic inference under the DEC model. (B) Biogeographic inference under the S-DIVA model