Instituto Gulbenkian de Ciência, Oeiras, Portugal.
PLoS One. 2013 Apr 17;8(4):e60944. doi: 10.1371/journal.pone.0060944. Print 2013.
The arrival of agriculture into Europe during the Neolithic transition brought a significant shift in human lifestyle and subsistence. However, the conditions under which the spread of the new culture and technologies occurred are still debated. Similarly, the roles played by women and men during the Neolithic transition are not well understood, probably due to the fact that mitochondrial DNA (mtDNA) and Y chromosome (NRY) data are usually studied independently rather than within the same statistical framework. Here, we applied an integrative approach, using different model-based inferential techniques, to analyse published datasets from contemporary and ancient European populations. By integrating mtDNA and NRY data into the same admixture approach, we show that both males and females underwent the same admixture history and both support the demic diffusion model of Ammerman and Cavalli-Sforza. Similarly, the patterns of genetic diversity found in extant and ancient populations demonstrate that both modern and ancient mtDNA support the demic diffusion model. They also show that population structure and differential growth between farmers and hunter-gatherers are necessary to explain both types of data. However, we also found some differences between male and female markers, suggesting that the female effective population size was larger than that of the males, probably due to different demographic histories. We argue that these differences are most probably related to the various shifts in cultural practices and lifestyles that followed the Neolithic Transition, such as sedentism, the shift from polygyny to monogamy or the increase of patrilocality.
新石器时代过渡时期农业传入欧洲,带来了人类生活方式和生计的重大转变。然而,新文化和技术传播的条件仍存在争议。同样,新石器时代过渡时期男女所扮演的角色也不为人所知,这可能是由于线粒体 DNA(mtDNA)和 Y 染色体(NRY)数据通常是独立研究的,而不是在同一个统计框架内进行研究。在这里,我们应用了一种综合方法,使用不同的基于模型的推理技术,分析了来自当代和古代欧洲人群的已发表数据集。通过将 mtDNA 和 NRY 数据整合到同一混合方法中,我们表明男性和女性都经历了相同的混合历史,并且都支持 Ammerman 和 Cavalli-Sforza 的人群扩散模型。同样,现存和古代群体中发现的遗传多样性模式表明,现代和古代 mtDNA 都支持人群扩散模型。它们还表明,人口结构和农民与狩猎采集者之间的差异增长对于解释这两种类型的数据都是必要的。然而,我们还发现了男性和女性标记之间的一些差异,这表明女性有效种群规模大于男性,这可能是由于不同的人口历史。我们认为,这些差异很可能与新石器时代过渡后文化习俗和生活方式的各种转变有关,例如定居、从多配偶制到一夫一妻制的转变或父居制的增加。