The contribution of genetic diversity to subdivide populations living in the silk road of China.
The contribution of genetic diversity to subdivide populations living in the silk road of China.
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DOI：
10.1371/journal.pone.0097344
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发表时间：
2014
期刊：
影响因子：
3.7
通讯作者：
Li S
中科院分区：
文献类型：
--
作者：
Zhang Z;Wei S;Gui H;Yuan Z;Li S
中国西北部丝绸之路沿线沿着有几个土著民族，他们在文化和社会习俗上表现出明显的差异，这可能是地理隔离和不同语言传统的结果。然而，在过去的两千年里，广泛的贸易和其他相互作用可能促进了这些种群之间不同基因库的混合。为进一步探讨西北地区13个民族的进化关系，揭示民族混杂的特征，选取9个最常用的CODIS位点（D3S1358、TH 01、D5S818、D13S317、D7S820、CSF1PO、vWA、TPOX、FGA）进行基因分型和分析。系统发育树和主成分分析显示，新疆维吾尔自治区4个居群与丝绸之路上游9个居群之间存在明显的种群分化。R矩阵回归分析表明，西北地区各民族间存在着较高水平的基因流动和群体混杂现象。此外，Mantel检验表明，地理隔离比语言障碍可以解释更大比例的遗传变异（21.58%对2.3%），这与地理因素对其他世界人口的贡献相匹配。
There are several indigenous ethnic populations along the silk road in the Northwest of China that display clear differences in culture and social customs, perhaps as a result of geographic isolation and different linguistic traditions. However, extensive trade and other interactions probably facilitated the admixture of different gene pools between these populations over the last two millennia. To further explore the evolutionary relationships of the 13 ethnic populations residing in Northwest China and to reveal the features of population admixture, the 9 most-commonly employed CODIS loci (D3S1358, TH01, D5S818, D13S317, D7S820, CSF1PO, vWA, TPOX, FGA) were selected for genotyping and further analysis. Phylogenetic tree and principal component analysis revealed clear pattern of population differentiation between 4 populations living in Sinkiang Uighur Autonomous Region and other 9 populations dwelled in the upper regions of Silk Road. R matrix regression showed high-level gene flow and population admixture dose exist among these ethic populations in the Northwest region of China. Furthermore, the Mantel test suggests that larger percent of genetic variance (21.58% versus 2.3%) can be explained by geographic isolation than linguistic barriers, which matched with the contribution of geographic factors to other world populations.
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影响因子：
3.9
作者：
NEI, M;TAJIMA, F;TATENO, Y
通讯作者：
TATENO, Y
影响因子：
64.8
作者：
BOWCOCK, AM;RUIZLINARES, A;CAVALLISFORZA, LL
通讯作者：
CAVALLISFORZA, LL
影响因子：
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作者：
Ingman, M;Kaessmann, H;Gyllensten, U
通讯作者：
Gyllensten, U
影响因子：
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作者：
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通讯作者：
Barbujani, Guido
DOI：
10.1073/pnas.0507611102
发表时间：
2005-11-01
影响因子：
11.1
作者：
Ramachandran, S;Deshpande, O;Cavalli-Sforza, LL
通讯作者：
Cavalli-Sforza, LL