Ancient Jomon genome sequence analysis sheds light on migration patterns of early East Asian populations: University of the Ryukyus Repository


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Title	:	Ancient Jomon genome sequence analysis sheds light on migration patterns of early East Asian populations
Authors	:	Gakuhari, Takashi Nakagome, Shigeki Rasmussen, Simon Allentoft, Morten E. Sato, Takehiro Korneliussen, Thorfinn Chuinneagain, Blanaid Ni Matsumae, Hiromi Koganebuchi, Kae Schmidt, Ryan Mizushima, Souichiro Kondo, Osamu Shigehara, Nobuo Yoneda, Minoru Kimura, Ryosuke Ishida, Hajime Masuyama, Tadayuki Yamada, Yasuhiro Tajima, Atsushi Shibata, Hiroki Toyoda, Atsushi Tsurumoto, Toshiyuki Wakebe, Tetsuaki Shitara, Hiromi Hanihara, Tsunehiko Willerslev, Eske Sikora, Martin Oota, Hiroki
Issue Date	:	25-Aug-2020
Abstract	:	Anatomically modern humans reached East Asia more than 40,000 years ago. However, key questions still remain unanswered with regard to the route(s) and the number of wave(s) in the dispersal into East Eurasia. Ancient genomes at the edge of the region may elucidate a more detailed picture of the peopling of East Eurasia. Here, we analyze the whole-genome sequence of a 2,500-year-old individual (IK002) from the main-island of Japan that is characterized with a typical Jomon culture. The phylogenetic analyses support multiple waves of migration, with IK002 forming a basal lineage to the East and Northeast Asian genomes examined, likely representing some of the earliest-wave migrants who went north from Southeast Asia to East Asia. Furthermore, IK002 shows strong genetic affinity with the indigenous Taiwan aborigines, which may support a coastal route of the Jomon-ancestry migration. This study highlights the power of ancient genomics to provide new insights into the complex history of human migration into East Eurasia.
URL	:	https://doi.org/10.1038/s42003-020-01162-2
Type Local	:	雑誌掲載論文
ISSN	:	2399-3642
Publisher	:	Springer Nature
URI	:	http://hdl.handle.net/20.500.12000/46972
Citation	:	Communications Biology Vol.3 no.1
Appears in Collections	:	Peer-reviewed Journal Articles (Faculty of Medicine)

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