著者
NAOKI OSADA YOSUKE KAWAI
出版者
The Anthropological Society of Nippon
雑誌
Anthropological Science (ISSN:09187960)
巻号頁・発行日
pp.201215, (Released:2021-03-31)
被引用文献数
8

The origins of people in the Japanese archipelago are of long-standing interest among anthropologists, archeologists, linguists, and historians studying the history of Japan. While the ‘dual-structure’ model proposed by Hanihara in 1991 has been considered the primary working hypothesis for three decades, recent advances in DNA typing and sequencing technologies provide an unprecedented amount of present-day and ancient human nuclear genome data, which enable us to refine or extend the dual-structure model. In this review, we summarize recent genome sequencing efforts of present-day and ancient people in Asia, mostly focusing on East Asia, and we discuss the possible migration routes and admixture patterns of Japanese ancestors. We also report on a meta-analysis we performed by compiling publicly available datasets to clarify the genetic relationships of present-day and ancient Japanese populations with surrounding populations. Because the ancient genetic data from the Japanese archipelago have not yet been fully analyzed, we have to corroborate models of prehistoric human movement using not only new genetic data but also linguistic and archeological data to reconstruct a more comprehensive history of the Japanese people.

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Via the southern route, ancestors of East Asian populations reached Southeast Asia around 50000 years ago. Genetic evidence of the northern route come from individuals excavated from the Yana RHS site in northeastern Siberia (31600 years old). https://t.co/IPg7V3O9rt
元來 日本列島 內에서 야마토(彌生人)와 에미시(縄文人)는 서로 다른 生活圈에서 居住하였다. 百濟 滅亡 以後, 야마토는 에미시로부터 不足한 兵力을 充員했다. 이윽고 에미시 傭兵들이 日本의 覇權을 占有하는 樣相으로 나아갔다. https://t.co/27u4AITS17
Exploring models of human migration to the Japanese archipelago using genome-wide genetic data https://t.co/ivaYyFG6YU https://t.co/BDpbMNJjRn
J-STAGE Articles - Exploring models of human migration to the Japanese archipelago using genome-wide genetic data https://t.co/QDWOh5wcVx

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