Migration-tracking integrated phylogeography supports long-distance dispersal-driven divergence for a migratory bird species in the Japanese archipelago

Previous phylogeographic studies of migratory bird species have not discriminated long-distance dispersal (LDD) from vicariant speciation in their diversification process. We conducted an integrative phylogeographic approach to test the LDD hypothesis, which predicts that a Japanese migratory bird subspecies diverged from a population in the coastal region of the East China Sea (CRECS) via LDD over the East China Sea (ECS). We used the Brown Shrike as a model species, and we conducted molecular phylogenetics, species distribution models (SDMs) and migration tracking. We assessed whether the LDD hypothesis is applicable to the divergence history of the Japanese subspecies of the Brown Shrike. The datasets include three zipped files, namely DataS1.zip, DataS2.zip, and DataS3.zip. See the READ ME (AOKI_et_al_2021_DATASET_README.txt) for how each of the folder and files contained in them can be used to reproduce our results. DataS1.zip inlcudes an xml file to conduct the BEAST analysis. Molecular data, which include nucleotide sequences obtained for cytochrome b (cytb), cytochrome oxidase c subunit I (COI), myoglobin intron-2 (MB) and transforming growth factor beta 2 intron-5 (TGFb2), have been all reposited to DDBJ international nucleotide sequence database, and accession numbers have been already given to them. Accession numbers are provided in the appendix attached to the main manuscript. DataS2.zip includes several data that are related to produce occurrence data of the Brown Shrike used in the analysis and an R code to reproduce the SDMs. Explanatory climatic variables are all available at WorldClim v.1.4 (Hijmans et al., 2005), which are processed in the R code. DataS3.zip includes migratory route analyses using light-level geolocator data are available as the original light-level data and R codes. Sensitivity analyses were also conducted in these analyses, but their codes and results are seperately provided here.See the READ ME (AOKI_et_al_2021_DATASET_README.txt) for how each of the folder and files contained in them can be used to reproduce our results