Ancient DNA from Chalcolithic Israel reveals the role of population mixture in cultural transformation.
Ancient DNA from Chalcolithic Israel reveals the role of population mixture in cultural transformation.
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DOI：
10.1038/s41467-018-05649-9
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发表时间：
2018-08-20
影响因子：
16.6
通讯作者：
Reich D
中科院分区：
文献类型：
--
作者：
Harney É;May H;Shalem D;Rohland N;Mallick S;Lazaridis I;Sarig R;Stewardson K;Nordenfelt S;Patterson N;Hershkovitz I;Reich D
南部黎凡特的铜石时代晚期（公元前4500-3900/3800年）的物质文化在质量上与之前和之后的时期不同。在这里，为了验证这种文化的出现和衰落受到人类运动影响的假设，我们从以色列Peqi'in Cave的22个个体中产生了全基因组的古代DNA。这些个体是一个同质群体的一部分，可以建模为约57%的祖先来自与当地黎凡特新石器时代相关的群体，约17%来自与伊朗铜石时代相关的群体，约26%来自与安纳托利亚新石器时代相关的群体。Peqi'in人口似乎也对后来的青铜时代群体做出了不同的贡献，其中一个群体不可能与Peqi'in洞穴的人口相同。这些结果提供了一个例子，说明人口流动如何推动了过去的文化变迁。南部黎凡特铜石时代晚期物质文化具有独特的属性，暗示着人类或文化的传播。在这里，作者使用了来自一个铜器时代遗址的22个个体的全基因组古代DNA数据，并展示了复杂的人口流动和更替的证据。
The material culture of the Late Chalcolithic period in the southern Levant (4500–3900/3800 BCE) is qualitatively distinct from previous and subsequent periods. Here, to test the hypothesis that the advent and decline of this culture was influenced by movements of people, we generated genome-wide ancient DNA from 22 individuals from Peqi’in Cave, Israel. These individuals were part of a homogeneous population that can be modeled as deriving ~57% of its ancestry from groups related to those of the local Levant Neolithic, ~17% from groups related to those of the Iran Chalcolithic, and ~26% from groups related to those of the Anatolian Neolithic. The Peqi’in population also appears to have contributed differently to later Bronze Age groups, one of which we show cannot plausibly have descended from the same population as that of Peqi’in Cave. These results provide an example of how population movements propelled cultural changes in the deep past. The Late Chalcolithic material culture in the southern Levant has unique attributes that suggest spread of people or culture. Here, the authors use genome-wide ancient DNA data from 22 individuals from a Chalcolithic site and show evidence of complex population movements and turnovers.
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影响因子：
64.8
作者：
Fu Q;Hajdinjak M;Moldovan OT;Constantin S;Mallick S;Skoglund P;Patterson N;Rohland N;Lazaridis I;Nickel B;Viola B;Prüfer K;Meyer M;Kelso J;Reich D;Pääbo S
通讯作者：
Pääbo S
影响因子：
0.7
作者：
Goren, Yuval
通讯作者：
Goren, Yuval
DOI：
10.1126/science.aaf7943
发表时间：
2016-07-29
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Broushaki F;Thomas MG;Link V;López S;van Dorp L;Kirsanow K;Hofmanová Z;Diekmann Y;Cassidy LM;Díez-Del-Molino D;Kousathanas A;Sell C;Robson HK;Martiniano R;Blöcher J;Scheu A;Kreutzer S;Bollongino R;Bobo D;Davudi H;Munoz O;Currat M;Abdi K;Biglari F;Craig OE;Bradley DG;Shennan S;Veeramah K;Mashkour M;Wegmann D;Hellenthal G;Burger J
通讯作者：
Burger J
影响因子：
16.6
作者：
Gamba, Cristina;Jones, Eppie R.;Teasdale, Matthew D.;McLaughlin, Russell L.;Gonzalez Fortes, Gloria;Mattiangeli, Valeria;Domboroczki, Laszlo;Kovari, Ivett;Pap, Ildiko;Anders, Alexandra;Whittle, Alasdair;Dani, Janos;Raczky, Pal;Higham, Thomas F. G.;Hofreiter, Michael;Bradley, Daniel G.;Pinhasi, Ron
通讯作者：
Pinhasi, Ron
影响因子：
64.8
作者：
1000 Genomes Project Consortium;Auton A;Brooks LD;Durbin RM;Garrison EP;Kang HM;Korbel JO;Marchini JL;McCarthy S;McVean GA;Abecasis GR
通讯作者：
Abecasis GR