Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao American Journal of ...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
American Journal of Biological Anthropology
Article . 2021 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
American Journal of Biological Anthropology
Article
License: Wiley Online Library User Agreement
Data sources: Sygma
versions View all 3 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Genomic insights into Neolithic farming‐related migrations in the junction of east and southeast Asia

Authors: Guo, Jianxin; Wang, Weitao; Zhao, Kai; Li, Guangxing; He, Guanglin; Zhao, Jing; Yang, Xiaomin; +6 Authors

Genomic insights into Neolithic farming‐related migrations in the junction of east and southeast Asia

Abstract

AbstractObjectivesWe aim to detect demographic history and early farming‐related migration of the crossroad area in the junction of east Asia (EA) and southeast Asia (SEA).Materials and methodsWe collected and genotyped 87 individuals from 6 Tibeto‐Burman and Austroasiatic‐speaking populations including Bai, Pumi, Hani, Lahu, Wa, and Blang with nearly 700,000 genome‐wide SNPs. We subsequently analyzed genetic structure and admixture using our merged dataset including both ancient and modern eastern Eurasians with PCA, ADMIXTURE, Refine‐IBD, f statistics and qpAdm.ResultsWe observed population substructure within the studied Tibeto‐Burman populations. The northern Tibeto‐Burman groups (Bai and Pumi) had a predominant genomic legacy associated to millet‐farming from North China and also high frequencies of Y‐chromosomal haplogroup O2a2b1‐M134 (xM117) and its sub‐clades. By contrast, southern Tibeto‐Burman groups (Lahu and Hani) had more than 60% genomic legacy associated to rice‐farming, which is prevalent in present‐day Tai‐Kadai, Austronesian and Austroasiatic speaking populations. We observed strong genetic affinities between Austroasiatic populations in Yunnan (Blang and Wa) and mainland southeast Asia.DiscussionOur study revealed that both demic migrations and cultural interactions from north to south and east to west since the Late Neolithic have shaped the genetic structure of populations at the crossroads of EA and SEA. The dominant genomic legacy associated with millet‐farming in northern Tibeto‐Burman populations indicates large‐scale Neolithic migrations from the Upper‐Middle Yellow River Basin. The rice‐farming expansion has deeply influenced the genetic profile of both southern Tibeto‐Burman and Austroasiatic populations, suggesting migrations from east to west via both inland and coastal routes.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    15
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 9
    download downloads 15
  • 9
    views
    15
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
15
Top 10%
Average
Top 10%
9
15
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!