Global demographic history of human populations inferred from whole mitochondrial genomes.
Global demographic history of human populations inferred from whole mitochondrial genomes.
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DOI：
10.1098/rsos.180543
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发表时间：
2018-08
影响因子：
3.5
通讯作者：
Amos W
中科院分区：
文献类型：
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作者：
Miller EF;Manica A;Amos W
新石器时代的过渡导致了世界各地人口普查规模的显着增加，正如丰富的考古记录所记录的那样。然而，以前尝试使用遗传标记，特别是线粒体DNA（mtDNA）检测这种变化，大多是不成功的。我们使用来自1000个基因组项目第3阶段的1700多个个体的完整mtDNA基因组，使用复杂的基于聚结的贝叶斯方法（扩展贝叶斯天际线图）和用古代DNA校准的突变率，探索四个主要地理区域中五个人群的人口规模变化。尽管我们的分析的力量和复杂性，我们未能找到相应的研究人群的新石器时代过渡的大小变化。然而，我们确实检测到了许多尺寸变化，这些变化往往会在每个地区的大多数种群中复制。这些变化大多比新石器时代的过渡时期要古老得多，可能反映了人口扩张或人口结构的变化。考虑到这些古老信号产生后发生的移民和人口混合的数量，我们警告说，现代人口往往会携带远离其当前位置的人口统计事件的幽灵信号。
The Neolithic transition has led to marked increases in census population sizes across the world, as recorded by a rich archaeological record. However, previous attempts to detect such changes using genetic markers, especially mitochondrial DNA (mtDNA), have mostly been unsuccessful. We use complete mtDNA genomes from over 1700 individuals, from the 1000 Genomes Project Phase 3, to explore changes in populations sizes in five populations for each of four major geographical regions, using a sophisticated coalescent-based Bayesian method (extended Bayesian skyline plots) and mutation rates calibrated with ancient DNA. Despite the power and sophistication of our analysis, we fail to find size changes that correspond to the Neolithic transitions of the study populations. However, we do detect a number of size changes, which tend to be replicated in most populations within each region. These changes are mostly much older than the Neolithic transition and could reflect either population expansion or changes in population structure. Given the amount of migration and population mixing that occurred after these ancient signals were generated, we caution that modern populations will often carry ghost signals of demographic events that occurred far away from their current location.
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DOI：
10.1073/pnas.93.21.12035
发表时间：
1996-10-15
影响因子：
11.1
作者：
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通讯作者：
Paabo, S
影响因子：
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作者：
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通讯作者：
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影响因子：
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作者：
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通讯作者：
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影响因子：
2.8
作者：
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通讯作者：
Fort, Joaquim
影响因子：
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